How to boost positive interpretations? A Meta-Analysis of the effectiveness of cognitive bias modification for interpretation
Open accessAbstract
The current meta-analysis explores the strength of effects of cognitive bias modification training for interpretation bias (CBM-I) on positive (i.e., adaptive) interpretations and mood as well as the training and sample characteristics influencing these effects. Data-bases were searched with the key words "interpret* bias AND training" and "interpret* bias AND modif*". Reference lists of identified articles were checked and authors of identified articles were contacted for further relevant articles and unpublished data. Studies were reviewed for inclusion with eligibility criteria being that the study (a) aimed to target interpretation biases through any kind of training, (b) assessed mood and/or interpretation bias as outcome measures, (c) allocated individuals to training conditions at random, and (d) recruited adult samples. A meta-analytic multilevel mixed-effects model was employed to assess standardized mean changes in interpretation bias, negative mood, and emotional reactivity. In addition, several training and sample characteristics were explored for their potential to enhance benign training effectiveness. On average, benign CBM-I resulted in an increase in positive interpretation bias (p<.01) and a decrease in negative mood state (p<.001), but did not affect emotional reactivity. These effects were not consistently different from control conditions with no or neutral training. However, within benign training conditions imagery instructions and more training sessions were related to larger cognitive and mood effects, whereas feedback about training performance and inclusion of non-benign training items (instead of including benign items only) boosted cognitive effects only. Finally, training was more effective in women (cognitive and mood effects) and presumably samples with symptomatic emotional dysregulation (cognitive effects). Although the effects of emotional dysregulation and number of training sessions could not well be distinguished, there is an indication that when used with imagery instructions and more training sessions, benign CBM-I can be employed as a useful complementary treatment to usual psychotherapies.
AI snapshot
Written from the paper’s full text.
TL;DR
This meta-analysis of 42 articles (59 studies, 125 samples, 2,526 individuals) found that benign cognitive bias modification for interpretation (CBM-I) increased positive interpretation bias and decreased negative mood, but effects were not consistently different from neutral or no-training controls. Imagery instructions and more training sessions were the most consistent moderators of larger cognitive and mood effects.
Key findings
- Benign CBM-I produced a large post-training difference favoring positive over negative interpretations (ES = 1.33, 95% CI 1.11–1.55, p < .001), significantly larger than neutral (ES = 0.49), negative (ES = −0.05), and no-training (ES = 0.28) conditions (all pairwise p < .001).
- Pre- to post-training positive interpretation bias increased significantly only in benign training (ES = 0.43, 95% CI 0.17–0.69, p < .01), differing significantly only from negative training (ES = −0.22; pairwise ES = 0.65, p < .05).
- Negative mood decreased significantly pre- to post-training in benign training (ES = 0.25, 95% CI 0.14–0.36, p < .001), but this did not differ significantly from neutral (ES = 0.22) or no-training (ES = −0.03) conditions; it did differ from negative training (ES = −0.20; pairwise ES = 0.44, p < .001).
- Benign CBM-I did not attenuate negative mood reactivity after an emotional challenge: negative mood increased in all conditions (benign ES = −0.79, negative ES = −0.80, neutral ES = −1.03, no training ES = −0.77), with no significant pairwise differences.
- Moderators: imagery instructions increased post-training positive-vs-negative bias from ES = 0.54 to 1.59 and pre-post positive bias by ES = 0.50; each additional session increased positive bias by ES = 0.08 and mood improvement by ES = 0.07; feedback increased pre-post positive bias by ES = 0.46; non-benign training items (ratio < 1) boosted cognitive effects; effects were larger in women and, for cognitive change, in symptomatic samples.
Methods
- Systematic review and meta-analysis following PRISMA; databases searched through June 2013 with terms “interpret* bias AND training” and “interpret* bias AND modif*,” plus reference checks and author contacts.
- Inclusion criteria: studies targeting interpretation bias through training, random allocation for multi-condition studies, interpretation bias and/or mood as outcomes, adult samples (healthy, subclinical/high-trait, or clinical anxiety/depression), and publication in English, German, or Dutch.
- Multilevel mixed-effects meta-analytic models estimated standardized mean changes/differences for four contrasts: post-training positive vs negative interpretations, pre-post positive interpretation bias, pre-post negative mood, and pre-post emotional challenge negative mood; moderators were tested separately for benign training.
Limitations
- The paper states that unpublished data and publication bias were addressed, with no indication of publication bias (funnel-plot asymmetry p-values = .72, .79, .46, .89), but it acknowledges that unpublished studies could still matter.
- The paper states that it focused only on mood state, not the full symptom spectrum; effects on low mood were small, and effects on guilt, rumination, or other symptoms cannot be answered.
- The paper states that moderators were tested separately, so their combined effects are unknown; repeated training sessions and symptomatic status were strongly associated (r = .73) and could not be well distinguished for pre-post positive interpretation bias.
- Evident from the text: paradigm and imagery instructions were almost perfectly confounded (all AS paradigms used imagery; only one homograph paradigm did), so it is impossible to tell whether paradigm or imagery drove those effects; ratio < 1 was based on only three samples; neutral and no-training comparisons had much smaller sample counts than benign training, reducing power.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 50 cited sources checked · 0 supported · 0 flagged
- Findingown data
Within benign training conditions, more training sessions are related to larger cognitive and mood effects.
“within benign training conditions imagery instructions and more training sessions were related to larger cognitive and mood effects”
Quote in the paperSubstantial claim - Findingown data
Within benign training conditions, feedback about training performance boosts cognitive effects only.
“feedback about training performance and inclusion of non-benign training items (instead of including benign items only) boosted cognitive effects only.”
Quote in the paperSubstantial claim - Findingown data
Benign CBM-I does not affect emotional reactivity.
“On average, benign CBM-I resulted in an increase in positive interpretation bias (p<.01) and a decrease in negative mood state (p<.001), but did not affect emotional reactivity.”
Quote in the paperSubstantial claim - Findingown data
Within benign training conditions, inclusion of non-benign training items (instead of including benign items only) boosts cognitive effects only.
“feedback about training performance and inclusion of non-benign training items (instead of including benign items only) boosted cognitive effects only.”
Quote in the paperSubstantial claim - Findingown data
On average, benign CBM-I decreases negative mood state (p<.001).
“On average, benign CBM-I resulted in an increase in positive interpretation bias (p<.01) and a decrease in negative mood state (p<.001), but did not affect emotional reactivity.”
Quote in the paperSubstantial claim
- Findingown data
Within benign training conditions, imagery instructions are related to larger cognitive and mood effects.
“within benign training conditions imagery instructions and more training sessions were related to larger cognitive and mood effects”
Quote in the paperSubstantial claim - Findingown data
On average, benign CBM-I increases positive interpretation bias (p<.01).
“On average, benign CBM-I resulted in an increase in positive interpretation bias (p<.01) and a decrease in negative mood state (p<.001), but did not affect emotional reactivity.”
Quote in the paperSubstantial claim - Findingown data
Benign CBM-I training is more effective in presumably samples with symptomatic emotional dysregulation for cognitive effects.
“and presumably samples with symptomatic emotional dysregulation (cognitive effects)”
Quote in the paperSubstantial claim - Findingown data
Benign CBM-I training is more effective in women for cognitive and mood effects.
“training was more effective in women (cognitive and mood effects)”
Quote in the paperSubstantial claim - Findingown data
Benign CBM-I training produced a pooled within-group effect size of 1.33 (95% CI 1.11-1.55, p<.001) for the difference between positive and negative interpretation bias after training.
“| difference between positive and negativeinterpretation bias after training1 | 75 | 35 | Benign | 1.33 | 1.11; 1.55 | <.001 |”
Quote in the paperSubstantial claim - Findingown data
Negative training produced a pooled within-group effect size of -0.05 (95% CI -0.28-0.17, p=.66) for the difference between positive and negative interpretation bias after training.
“| | | 28 | Negative | −0.05 | −0.28; 0.17 | .66 |”
Quote in the paperSubstantial claim - Findingown data
Neutral training produced a pooled within-group effect size of 0.49 (95% CI 0.06-0.93, p=.03) for the difference between positive and negative interpretation bias after training.
“| | | 6 | Neutral | 0.49 | 0.06; 0.93 | .03 |”
Quote in the paperNot a substantial claim - Findingown data
Benign training produced a pooled within-group effect size of 0.43 (95% CI 0.17-0.69, p<.01) for change in positive interpretation bias from pre- to post-training.
“| change in positive interpretation biasfrom pre- to post training2 | 34 | 20 | Benign | 0.43 | 0.17; 0.69 | <.01 |”
Quote in the paperSubstantial claim - Findingown data
Benign training produced a pooled within-group effect size of 0.25 (95% CI 0.14-0.36, p<.001) for change in negative mood from pre- to post-training.
“| change in negative mood from pre- to posttraining3 | 90 | 47 | Benign | 0.25 | 0.14; 0.36 | <.001 |”
Quote in the paperSubstantial claim - Findingown data
Negative training produced a pooled within-group effect size of -0.20 (95% CI -0.35--0.05, p<.01) for change in negative mood from pre- to post-training.
“| | | 25 | Negative | −0.20 | −0.35; −0.05 | <.01 |”
Quote in the paperSubstantial claim - Findingown data
Neutral training produced a pooled within-group effect size of 0.22 (95% CI 0.02-0.41, p=.03) for change in negative mood from pre- to post-training.
“| | | 14 | Neutral | 0.22 | 0.02; 0.41 | .03 |”
Quote in the paperNot a substantial claim - Findingown data
Neutral training produced a pooled within-group effect size of 0.12 (95% CI -0.33-0.57, p=.59) for change in positive interpretation bias from pre- to post-training.
“| | | 6 | Neutral | 0.12 | −0.33; 0.57 | .59 |”
Quote in the paperNot a substantial claim - Findingown data
No training produced a pooled within-group effect size of 0.28 (95% CI -0.16-0.86, p=.72) for the difference between positive and negative interpretation bias after training.
“| | | 6 | No training | 0.28 | −0.16; 0.86 | .72 |”
Quote in the paperNot a substantial claim - Findingown data
No training produced a pooled within-group effect size of 0.32 (95% CI -0.30-0.93, p=.31) for change in positive interpretation bias from pre- to post-training.
“| | | 3 | No training | 0.32 | −0.30; 0.93 | .31 |”
Quote in the paperNot a substantial claim - Findingown data
Negative training produced a pooled within-group effect size of -0.22 (95% CI -0.75-0.32, p=.43) for change in positive interpretation bias from pre- to post-training.
“| | | 5 | Negative | −0.22 | −0.75; 0.32 | .43 |”
Quote in the paperNot a substantial claim - Findingown data
Benign training differed from neutral training in the difference between positive and negative interpretation bias after training, with a pooled difference of 0.84 (95% CI 0.40-1.29, p<.001).
“| | | 6 | Neutral | | −0.54* (−1.01.;−0.07) | 0.84 *** (0.40;1.29) | |”
Quote in the paperSubstantial claim - Findingown data
Benign training differed from no training in the difference between positive and negative interpretation bias after training, with a pooled difference of 1.05 (95% CI 0.60-1.50, p<.001).
“| | | 6 | No training | 0.21 (−0.35;0.77) | −0.33 (−0.79;0.31) | 1.05 *** (0.60;1.50) | |”
Quote in the paperSubstantial claim - Findingown data
Neutral training differed from negative training in change in negative mood from pre- to post-training, with a pooled difference of -0.41 (95% CI -0.66--0.17, p<.01).
“| | | 14 | Neutral | | −0.41 ** (−0.66;−0.17) | 0.03 (−0.19;0.25) | |”
Quote in the paperSubstantial claim - Findingown data
Benign training differed from negative training in the difference between positive and negative interpretation bias after training, with a pooled difference of 1.39 (95% CI 1.15-1.62, p<.001).
“| | | 28 | Negative | | | 1.39 *** (1.15;1.62) | |”
Quote in the paperSubstantial claim - Findingown data
Benign training differed from negative training in change in negative mood from pre- to post-training, with a pooled difference of 0.44 (95% CI 0.26-0.63, p<.001).
“| | | 25 | Negative | | | 0.44 *** (0.26;0.63) | |”
Quote in the paperSubstantial claim - Findingown data
No training produced a pooled within-group effect size of -0.03 (95% CI -0.38-0.33, p=.88) for change in negative mood from pre- to post-training.
“| | | 4 | No training | −0.03 | −0.38; 0.33 | .88 |”
Quote in the paperNot a substantial claim - Findingown data
Neutral training produced a pooled within-group effect size of -1.03 (95% CI -1.39--0.67, p<.001) for difference in negative mood from pre- to post-emotional challenge.
“| | | 6 | Neutral | −1.03 | −1.39; −0.67 | <.001 |”
Quote in the paperNot a substantial claim - Findingown data
The omnibus test for differences between training conditions in the difference between positive and negative interpretation bias after training was significant, QM(df=3)=137.70, p<.01.
“| difference between positive andnegative interpretation bias after training1 | 75 | 35 | Benign | | | | QM (df = 3) = 137.70, p<.01 |”
Quote in the paperSubstantial claim - Findingown data
Benign training differed from negative training in change in positive interpretation bias from pre- to post-training, with a pooled difference of 0.65 (95% CI 0.07-1.23, p<.05).
“| | | 5 | Negative | | | 0.65 * (0.07;1.23) | |”
Quote in the paperSubstantial claim - Findingown data
Negative training produced a pooled within-group effect size of -0.80 (95% CI -1.10--0.49, p<.001) for difference in negative mood from pre- to post-emotional challenge.
“| | | 10 | Negative | −0.80 | −1.10; −0.49 | <.001 |”
Quote in the paperNot a substantial claim - Findingown data
Benign training produced a pooled within-group effect size of -0.79 (95% CI -1.04--0.53, p<.001) for difference in negative mood from pre- to post-emotional challenge.
“| difference in negative mood from pre- to postemotional challenge4 | 35 | 18 | Benign | −0.79 | −1.04; −0.53 | <.001 |”
Quote in the paperSubstantial claim - Findingown data
The omnibus test for differences between training conditions in change in negative mood from pre- to post-training was significant, QM(df=3)=24.13, p<.001.
“| change in negative mood frompre- to post training3 | 90 | 47 | Benign | | | | QM (df = 3) = 24.13, p<.001 |”
Quote in the paperSubstantial claim - Findingown data
The omnibus test for differences between training conditions in difference in negative mood from pre- to post-emotional challenge was not significant, QM(df=3)=2.11, p=.50.
“| difference in negative mood frompre- to post emotional challenge4 | 35 | 18 | Benign | | | | QM (df = 3) = 2.11, p = .50 |”
Quote in the paperNot a substantial claim - Findingown data
The omnibus test for differences between training conditions in change in positive interpretation bias from pre- to post-training was not significant, QM(df=3)=5.53, p=.14.
“| change in positive interpretation biasfrom pre- to post training2 | 34 | 20 | Benign | | | | QM (df = 3) = 5.53, p = .14 |”
Quote in the paperSubstantial claim - Findingown data
Benign training was the only condition to result in a significant pre- to post-training change in the selection of positive interpretations of ambiguous stimuli (p<.01).
“Benign training was the only condition to result in a significant change in the selection of positive interpretations of ambiguous stimuli from before to after training (p<.01).”
Quote in the paperSubstantial claim - Findingown data
The pre-post change in positive interpretation bias for benign training (ES=0.43, 95% CI 0.17-0.69) was smaller than the post-training difference between positive and negative interpretation bias in the benign condition.
“This effect was of a much smaller size (i.e., 0.43 with 95% CI 0.17–0.69; table 2) than the one found for post training differences between positive and negative interpretation biases in the benign condition”
Quote in the paperNot a substantial claim - Findingown data
The post-training difference between positive and negative interpretations in the benign condition was significantly larger than in the neutral and any other condition (all pairwise p<.001).
“Importantly, the size of the effect in the benign condition was significantly larger than in the neutral and any other condition using pairwise comparisons of effect sizes (all pairwise p<.001; see table 3).”
Quote in the paperSubstantial claim - Findingreasoning
On average, 67% of individuals receiving benign training showed an increase in the selection of positive interpretations.
“and can be interpreted as indicating that, on average, 67% of individuals receiving benign training showed an increase in the selection of positive interpretations.”
Quote in the paperSubstantial claim - Findingreasoning
On average, 69% of individuals who received neutral training endorsed positive interpretations more strongly than negative interpretations for new ambiguous stimuli after training.
“This implies that, on average, 91% of individuals who had received benign training and 69% of individuals who had received neutral training endorsed positive interpretations more strongly than negative interpretations for new ambiguous stimuli after training.”
Quote in the paperSubstantial claim - Findingreasoning
On average, 91% of individuals who received benign training endorsed positive interpretations more strongly than negative interpretations for new ambiguous stimuli after training.
“This implies that, on average, 91% of individuals who had received benign training and 69% of individuals who had received neutral training endorsed positive interpretations more strongly than negative interpretations for new ambiguous stimuli after training.”
Quote in the paperSubstantial claim - Findingown data
The pre-post change in positive interpretation bias for benign training differed significantly from the change in the opposite direction for negative training (ES=-0.22, 95% CI -0.75-0.32).
“This change differed significantly (p<.05; see table 3 comparing ‘negative’ and ‘benign’ training condition under ‘change in positive interpretation bias from pre- to post training’) from the change in the opposite direction for the negative training condition (i.e., −0.22 with 95% CI −0.75–0.32; table 2).”
Quote in the paperNot a substantial claim - Findingown data
The within-group change in negative mood differed significantly between benign and negative training conditions (p<.001).
“The comparison of the within-group changes between the benign and the negative training condition was significant (p<.001; table 3).”
Quote in the paperSubstantial claim - Findingown data
Negative mood increased significantly in all conditions from before to after an emotional challenge (estimated effects ranging from −0.77 to −1.03).
“Negative mood increased significantly in all conditions from before to after the emotional challenge (with estimated effects ranging from −0.77 to −1.03, see table 2 under ‘ differences in negative mood from pre- to post emotional challenge’).”
Quote in the paperNot a substantial claim - Findingown data
None of the pairwise differences comparing the amount of change in negative mood between conditions from pre- to post-emotional challenge was significant.
“However, none of the pairwise differences comparing the amount of change between conditions was significant (see table 3 under ‘difference in negative mood from pre- to post emotional challenge’).”
Quote in the paperNot a substantial claim - Findingown data
In neutral training, negative mood decreased significantly from pre- to post-training (ES=0.22, 95% CI 0.02-0.41).
“In the neutral training condition negative mood decreased significantly (p = .03) from before to after training (ES = 0.22; 95% CI 0.02–0.41; table 2).”
Quote in the paperNot a substantial claim - Findingown data
The AS paradigm (k=14) yielded a non-significant increase in positive interpretations (ES=.14, p=.26, 56% chance).
“However, this time the AS-paradigm (k = 14) yielded a non-significant increase in positive interpretations (ES = .14, p = .26, 56% chance of an increase in positive interpretation bias).”
Quote in the paperSubstantial claim - Findingown data
The change in negative mood from pre- to post-training in benign training conditions was moderated by paradigm, imagery, and sex.
“The change in negative mood from pre- to post-training in benign training conditions was again moderated by paradigm, imagery, and sex.”
Quote in the paperSubstantial claim - Findingown data
The AS paradigm resulted in a significant decrease in negative mood (k=37; ES=.19, p<.01, 58% chance).
“The AS paradigm resulted in a significant decrease in negative mood (k = 37; ES = .19, p<.01, 58% chance of decrease in negative mood).”
Quote in the paperSubstantial claim - Findingown data
The correlation between pre-post change in positive interpretation bias and decrease in negative mood was positive (r=.58; CI 0.30-0.78; k=32; p<.001).
“The correlation between the change in positive interpretation bias from before to after training and decrease in negative mood was also positive (r = .58; CI 0.30–0.78; k = 32 pairs of estimates; p<.001).”
Quote in the paperSubstantial claim - Findingown data
Based on k=49 pairs of effect size estimates, the correlation between post-training endorsement of positive versus negative bias and decrease in negative mood was positive (r=.60; CI 0.39-0.76; p<.001).
“Based on k = 49 pairs of effect size estimates, the correlation between the endorsement of positive versus negative bias after training and the decrease in negative mood was positive (r = .60; CI 0.39–0.76; p<.001).”
Quote in the paperSubstantial claim - Findingown data
The p-values of the tests for funnel plot asymmetry for the four outcomes were .72, .79, .46, and .89, respectively.
“The p-values of the tests for funnel plot asymmetry for the four outcomes were.72,.79,.46, and.89, respectively.”
Quote in the paperSubstantial claim - Findingown data
Benign training did not attenuate relative increases in negative mood in response to emotional challenges.
“Furthermore, benign training did not attenuate relative increases in negative mood in response to emotional challenges.”
Quote in the paperSubstantial claim - Findingown data
The correlation between change in interpretational style and mood state was positive and significant.
“The correlation between these indices of improvements (i.e., change in interpretational style and mood state) was positive and significant.”
Quote in the paperSubstantial claim - Findingown data
The neutral condition also presented with a significantly larger positive as compared to negative interpretation bias after training.
“However, the neutral condition also presented with a significantly larger positive as compared to negative interpretation bias after training.”
Quote in the paperSubstantial claim - Findingown data
Contrary to predictions that the tendency to benignly interpret ambiguous situations should decrease the negative mood response particularly under conditions of emotional provocation, we did not find this in the present data.
“Furthermore, contrary to predictions that the tendency to benignly interpret ambiguous situations should decrease the negative mood response particularly under conditions of emotional provocation [63], we did not find this in the present data.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [63] EJ Wilson, 2006, The causal role of interpretive bias in anxiety reactivity, Journal of Abnormal Psychology source
Not checked in the free run.
- Findingown data
The current data support the hypothesis that trained differences in interpretational style and changes in mood state are correlated.
“Nevertheless, the current data support the hypothesis that trained differences in interpretational style and changes in mood state are correlated”
Quote in the paperSubstantial claim - Findingreasoning
The chances for a larger positive than negative interpretation bias after training were higher for individuals receiving the ambiguous situations paradigm (AS) than for individuals receiving other training paradigms.
“While the chances for a larger positive than negative interpretation bias after training were higher for individuals receiving the ambiguous situations paradigm (AS)”
Quote in the paperSubstantial claim - Findingreasoning
The chances for an increase in positive interpretation bias from pre- to post-training were larger for individuals receiving other training paradigms than for individuals receiving the AS paradigm.
“the chances for an increase in positive interpretation bias from pre-to post training were larger for individuals receiving other training paradigms”
Quote in the paperSubstantial claim - Findingown data
Changes in interpretation style were significantly associated with decreases in negative mood states.
“but these changes were also significantly associated with decreases in negative mood states”
Quote in the paperSubstantial claim - Findingown data
Several procedural factors were found to significantly increase benign CBM-I's effectiveness above and beyond the type of training paradigm.
“several procedural factors were found to significantly increase benign CBM-I’s effectiveness above and beyond the type of training paradigm”
Quote in the paperSubstantial claim - Findingown data
The manipulation of interpretation style resulted in significant changes in interpretation style.
“The manipulation of interpretation style not only resulted in significant changes in interpretation style”
Quote in the paperSubstantial claim - Findingown data
Mood changes appeared to be of rather small effect size.
“Although these mood changes appeared to be of rather small effect size”
Quote in the paperNot a substantial claim - Findingown data
The provision of repeated training sessions increased training effectiveness.
“the observation that provision of repeated training sessions increased training effectiveness further confirms theory and findings of primary studies focusing on the clinical use of CBM-I.”
Quote in the paperSubstantial claim - Findingown data
The use of imagery was associated with percentage females in the sample for post-training endorsement of positive versus negative interpretations.
“the use of imagery was associated with percentage females in the sample for post training endorsement of positive versus negative interpretations”
Quote in the paperNot a substantial claim - Findingown data
This is the first meta-analysis indicating that imagery instructions can have moderate to large effects on increasing the effect of benign CBM-I on interpretation biases and accompanying mood.
“This is the first meta-analysis indicating that imagery instructions can have moderate to large effects on increasing the effect of benign CBM-I on interpretation biases and accompanying mood.”
Quote in the paperSubstantial claim - Findingreasoning
For people with a potentially lowered positive interpretation bias, benign CBM-I can cause a significant and large increase in positive interpretation bias.
“However, for people with a potentially lowered positive interpretation bias, benign CBM-I can cause a significant and large increase in positive interpretation bias.”
Quote in the paperSubstantial claim - Findingreasoning
Based on the current findings, the symptom of low mood can be influenced by benign CBM-I.
“Based on the current findings, it may be concluded that the symptom of ‘low mood’ can be influenced by benign CBM-I.”
Quote in the paperSubstantial claim - Findingown data
The effect of benign CBM-I on low mood is small.
“However, this effect is small”
Quote in the paperSubstantial claim - Findingown data
There are indications that benign CBM-I paradigms appear particularly effective in vulnerable samples.
“Most encouragingly, there are indications that benign CBM-I paradigms appear particularly effective in vulnerable samples.”
Quote in the paperSubstantial claim- Rests on an assumption: Women are more vulnerable to develop mood symptoms.
- Findingnone given
Effects did not consistently differ from control training conditions.
“Although effects did not consistently differ from control training conditions”
Quote in the paperSubstantial claim - Interpretationreasoning
When used with imagery instructions and more training sessions, benign CBM-I can be employed as a useful complementary treatment to usual psychotherapies.
“there is an indication that when used with imagery instructions and more training sessions, benign CBM-I can be employed as a useful complementary treatment to usual psychotherapies.”
Quote in the paperSubstantial claim - Premisecitation
Healthy individuals are more likely to draw positive than negative interpretations of ambiguous situations.
“healthy individuals more likely draw positive than negative interpretations of ambiguous situations, whereas individuals with a current anxiety disorder are more likely to draw almost as many positive as negative interpretations [22].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [22] MW Eysenck, 1991, Bias in interpretation of ambiguous sentences related to threat in anxiety, Journal of Abnormal Psychology source
Not checked in the free run.
- Premisecitation
Anxiety and depression are characterized and maintained by negative interpretation biases.
“anxiety and depression are characterized and maintained by negative interpretation biases.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [3] EHW Koster, 2009, Introduction to the special section on cognitive bias modification in emotional disorders, Journal of Abnormal Psychology source
Not checked in the free run.
- cites [4] K Mogg, 2005, Attentional bias in generalized anxiety disorder versus depressive disorder, Cognitive Therapy and Research source
Not checked in the free run.
- Premisecitation
Hallion and Ruscio reported significant and large post-training differences in mood states of benign CBM-I compared to control conditions.
“They reported significant and large post-training differences in interpretation biases and mood states of benign CBM-I as compared to control conditions [11].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11] LS Hallion, 2011, A meta-analysis of the effect of cognitive bias modification on anxiety and depression, Psychological Bulletin source
Not checked in the free run.
- Premisecitation
Hallion and Ruscio reported significant and large post-training differences in interpretation biases of benign CBM-I compared to control conditions.
“They reported significant and large post-training differences in interpretation biases and mood states of benign CBM-I as compared to control conditions [11].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11] LS Hallion, 2011, A meta-analysis of the effect of cognitive bias modification on anxiety and depression, Psychological Bulletin source
Not checked in the free run.
- Premisecitation
Individuals with a current anxiety disorder are more likely to draw almost as many positive as negative interpretations.
“healthy individuals more likely draw positive than negative interpretations of ambiguous situations, whereas individuals with a current anxiety disorder are more likely to draw almost as many positive as negative interpretations [22].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [22] MW Eysenck, 1991, Bias in interpretation of ambiguous sentences related to threat in anxiety, Journal of Abnormal Psychology source
Not checked in the free run.
- Premisecitation
Several symptom scales were developed for use within clinical samples only.
“several symptom scales were developed for use within clinical samples only and may vary minimally in undiagnosed participants [12], [13]”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [12] AT Beck, 2011, Psychometric properties of the Beck Depression Inventory: twenty-five years of evaluation, Clinical Psychology Review source
Not checked in the free run.
- cites [13] M Hamilton, 1960, A rating scale for depression, J Neurol Neurosurg Psychiat source
Not checked in the free run.
- Premisecitation
Several symptom scales may vary minimally in undiagnosed participants.
“several symptom scales were developed for use within clinical samples only and may vary minimally in undiagnosed participants [12], [13]”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [12] AT Beck, 2011, Psychometric properties of the Beck Depression Inventory: twenty-five years of evaluation, Clinical Psychology Review source
Not checked in the free run.
- cites [13] M Hamilton, 1960, A rating scale for depression, J Neurol Neurosurg Psychiat source
Not checked in the free run.
- Premisecitation
Findings on training effects on symptoms have been mixed in individual studies.
“findings on training effects on symptoms have been mixed in individual studies, e.g. see [8], [14]”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [8] B Mackintosh, 2006, Induced biases in emotional interpretation influence stress vulnerability and endure despite changes in context, Behavior Therapy source
Not checked in the free run.
- cites [14] J Yiend, 2005, Enduring consequences of experimentally induced biases in interpretation, Behaviour Research and Therapy source
Not checked in the free run.
- Premisecitation
Continuous variation in mood states can be measured reliably in general population samples, particularly in response to emotional challenges.
“continuous variation in mood states not only may be used to characterize the common symptom ‘low mood’ of anxiety and depression but also can be measured reliably in general population samples [15], [16], particularly in response to emotional challenges [17].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [15] APA (2000) Quick reference to the diagnostic criteria from DSM-IV-TR. Arlington, VA: American Psychiatric Association.
Not checked in the free run.
- cites [16] Csikszentmihalyi M, Hunter J (2003) Happiness in everyday life: the use of experience sampling. Journal of Happiness Studies 4. source
Not checked in the free run.
- cites [17] G Blackhart, 2009, Rejection elicits emotional reactions but neither causes immediate distress nor lowers self-esteem: a meta-analytic review of 192 studies on social exclusion, Personality and Social Psychology Review source
Not checked in the free run.
- Premisecitation
People with emotional symptoms suffer from negative interpretation biases.
“it is commonly accepted that people with emotional symptoms suffer from negative interpretation biases, e.g., see [3], [4]”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [3] EHW Koster, 2009, Introduction to the special section on cognitive bias modification in emotional disorders, Journal of Abnormal Psychology source
Not checked in the free run.
- cites [4] K Mogg, 2005, Attentional bias in generalized anxiety disorder versus depressive disorder, Cognitive Therapy and Research source
Not checked in the free run.
- Study design and conductown data
Five included studies had only one training condition and therefore no random assignment to training group.
“In total, five included only one training condition and therefore had no random assignment to training group (see also table 1)”
Quote in the paperNot a substantial claim - Interpretationown data
The findings reported above should be viewed as average effects across the different studies.
“Therefore, the findings reported above should be viewed as the average effects across the different studies.”
Quote in the paperSubstantial claim - Interpretationown data
The pooled effects for pre-post change in positive interpretation bias need to be viewed as average effect sizes across the different studies.
“However, since at least one component was significant, this indicates again that the pooled effects need to be viewed as average effect sizes across the different studies.”
Quote in the paperSubstantial claim - Interpretationown data
The pooled effects for pre-post change in negative mood need to be viewed as average effect sizes.
“suggesting that the pooled effects above need to be viewed as average effect sizes”
Quote in the paperNot a substantial claim - Interpretationreasoning
It is impossible to tell whether paradigm or the use of imagery is driving the results.
“It is therefore impossible to tell whether paradigm or the use of imagery is driving these results.”
Quote in the paperSubstantial claim - Interpretationreasoning
It is difficult to meaningfully interpret the number-of-sessions result.
“making it difficult to meaningfully interpret this result.”
Quote in the paperSubstantial claim - Interpretationown data
The effect for number of sessions depicts a rather robust effect.
“suggesting that the effect for ‘no of sessions’ depicts a rather robust effect.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Particularly samples with symptoms of depression and/or anxiety were exposed to a repeated number of training sessions.
“This indicates that particularly samples with symptoms of depression and/or anxiety were exposed to a repeated number of training sessions.”
Quote in the paperSubstantial claim - Study design and conductown data
The ratio result needs to be viewed with caution because only three samples employed a ratio <1.
“However, as only three samples employed a ratio <1, this result needs to be viewed with caution.”
Quote in the paperSubstantial claim - Interpretationown data
Feedback administration, the ratio between benign training items and total training items, and health status moderated the impact of benign training on the change in positive interpretation bias from pre- to post training only.
“Feedback administration, the ratio between benign training items and the total number of training items, and health status moderated the impact of benign training on the change in positive interpretation bias from pre- to post training only.”
Quote in the paperSubstantial claim - Study design and conductown data
Excluding all studies with only one training condition and training conditions with an attrition rate above 15% did not change the main results.
“Excluding all studies with only one training condition (and therefore no random training allocation) and training conditions with an attrition rate above 15% did not change the main results.”
Quote in the paperNot a substantial claim - Interpretationown data
Based on these tests and visual examination of funnel plots, there was no indication of publication bias for any of the main outcomes.
“Therefore, based on these tests and the visual examination of the funnel plots (Figure S1), there was no indication of publication bias for any of the main outcomes, as indicated by the absence of an association between the inverse of the sample sizes and the effect sizes [30]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] JL Peters, 2006, Comparison of two methods to detect publication bias in meta-analysis, Journal of the American Medical Association source
Not checked in the free run.
- Interpretationreasoning
Because these effects are based on post-training differences only, it is impossible to tell whether the change in positive interpretation bias due to training was significant in the benign as well as in the neutral group.
“As these effects are based on post-training differences only, it is impossible to tell whether the change in positive interpretation bias due to training was significant in the benign as well as in the neutral group.”
Quote in the paperSubstantial claim - Interpretationown data
Across both meta-analyses (the current one including additional 24 articles), benign CBM-I training reliably 'boosted' positive interpretations post-training.
“Across both meta-analyses (the current one including additional 24 articles) benign CBM-I training reliably ‘boosted’ positive interpretations post-training.”
Quote in the paperSubstantial claim - Interpretationreasoning
It can be suggested that most of the emotional challenges used did not provoke ambiguity specifically, but were distressing more generally.
“It can be suggested that most of those did not provoke ambiguity specifically, but were distressing more generally.”
Quote in the paperSubstantial claim - Interpretationcitation
These findings may help to explain the inconsistencies in the primary literature, as the significance of post-training differences in mood probably only becomes obvious when benign and negative groups are compared.
“These findings may help to explain the inconsistencies in the primary literature, e.g. see [64], as it shows that the significance of the post training differences in mood probably only becomes obvious when benign and negative groups are compared.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [64] A Mathews, 2004, On the malleability of emotional encoding, Behaviour Research and Therapy source
Not checked in the free run.
- Interpretationown data
The significant positive change in the neutral condition but not in the no-training condition may suggest that neutral training is not completely emotionally 'neutral' after all.
“The significant positive change in the neutral condition but not in the no-training condition may suggest that neutral training is not completely emotionally ‘neutral’ after all.”
Quote in the paperNot a substantial claim - Interpretationown data
The results of the current meta-analysis only suggest that benign CBM-I does not alter overall mood-reactivity in response to these universally stressful events or situations.
“The results of the current meta-analysis therefore only suggest that benign CBM-I does not alter overall mood-reactivity in response to these universally stressful events or situations.”
Quote in the paperSubstantial claim- Rests on an assumption: The emotional challenges used in the included studies were universally stressful and not under the direct influence of interpretation biases.
- Interpretationreasoning
Benign interpretation biases are related with feeling less negative.
“implying that benign interpretation biases are related with feeling less negative”
Quote in the paperSubstantial claim - Interpretationreasoning
The general finding of the value of imagery instructions in benign CBM-I is valid.
“We therefore suggest that the general finding of the value of imagery instructions in benign CBM-I is valid.”
Quote in the paperSubstantial claim - Interpretationreasoning
The effect of repeated training sessions increases to a certain degree with additional training sessions.
“Therefore, this effect increases to a certain degree with additional training sessions.”
Quote in the paperSubstantial claim - Premisecitation
Two studies demonstrated that benign CBM-I was associated with clinically relevant improvements.
“Very recently, two studies intriguingly demonstrated that benign CBM-I was indeed associated with clinical relevant improvements [20], [34].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20], [34]
Not checked in the free run.
- Premisecitation
Women are more emotionally reactive than men.
“it has long been recognized that women are more emotionally reactive than men, e.g., see [21].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] MM Husky, 2009, Past depression and gender interact to influence emotional reactivity to daily life stress, Cognitive Therapy and Research source
Not checked in the free run.
- Premisecitation
Responses learned under partial reinforcement are much harder to extinguish than responses learned under continuous reinforcement.
“It has been shown in studies of instrumental conditioning that responses learned under partial reinforcement are much harder to extinguish than responses learned under continuous reinforcement [67].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [67] Gleitman H, Fridlund AJ, Reisberg D (2004) Psychology. New York: W.W. Norton & Company.
Not checked in the free run.
- Study design and conductreasoning
The effect of repeated training sessions and mood symptoms on the increase in positive interpretation bias in benign training conditions remains indistinguishable.
“this effect of mood-symptoms cannot completely be torn apart from the effect of repeated training sessions.”
- Also stated in: § Limitations and future directions · hedged
“the effect of repeated training sessions and mood symptoms on the increase in positive interpretation bias in benign training conditions remains indistinguishable so far.”
- Also stated in: § Conclusions · plain
“the effects of repeated number of training sessions was not well distinguishable from the effects of mood-symptoms for the change in positive interpretation bias”
Quote in the paperSubstantial claim - Also stated in: § Limitations and future directions · hedged
- Interpretationreasoning
CBM-I effects on general psychopathology may not immediately become apparent after a single session of CBM-I training.
“It needs to be considered though that CBM-I effects on general psychopathology may not immediately become apparent after a single session of CBM-I training for two reasons.”
Quote in the paperNot a substantial claim- Rests on an assumption: Interpretation biases only start to play a role in reducing mood when people are confronted with ambiguous situations in their own life.
- Study design and conductreasoning
All analyses were controlled for the paradigm employed.
“We did control all analyses for the paradigm employed as this was a rather complex construct encompassing stimulus presentation and processing.”
Quote in the paperSubstantial claim - Study design and conductown data
The current moderators were all investigated separately, preventing conclusions about the sum of their effects when included simultaneously.
“the current moderators were all investigated separately, preventing conclusions about the sum of their effects when included simultaneously.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The currently found effects may depict overestimations.
“the currently found effects may depict overestimations.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Benign CBM-I has clinical potential.
“it may be concluded that benign CBM-I has clinical potential.”
Quote in the paperSubstantial claim - Premisecitation
Initial primary studies have demonstrated effectiveness of CBM-I in adolescent samples.
“initial primary studies have demonstrated effectiveness of CBM-I in these samples [71]–[73]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [71]–[73]
Not checked in the free run.
- May combine two claims. 77
- Classified as probably not a substantial claim. 36
- The quote only partly states this claim. 1
May combine two claims.
Findingown dataThe effects of benign CBM-I on positive interpretation bias and negative mood are not consistently different from control conditions with no or neutral training.
“These effects were not consistently different from control conditions with no or neutral training.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataNo training produced a pooled within-group effect size of -0.77 (95% CI -1.49--0.05, p=.04) for difference in negative mood from pre- to post-emotional challenge.
“| | | 1 | No training | −0.77 | −1.49; −0.05 | .04 |”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataBoth the study-level and effect-size-level variance components were statistically significant (p=.002 and p<.001, respectively).
“Both the study level variance component and the effect size level variance component did reach statistical significance (p = .002 and p<.001, respectively – not depicted in table 2).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAcross 75 independent samples from 34 studies, neutral training produced a significant post-training difference between endorsement of positive and negative interpretations, with effect size 0.49 (95% CI 0.06-0.93).
“For the same difference in the neutral condition this effect was also significant but considerably smaller (i.e., 0.49, 95% CI 0.06–0.93).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn benign training, negative mood decreased significantly from pre- to post-training (ES=0.25, 95% CI 0.14-0.36), indicating on average 60% showed reductions.
“Overall negative mood decreased significantly (p<.001) in the benign training condition (a small effect size of 0.25 with 95% CI 0.14–0.36; table 2) indicating that, on average, 60% of individuals showed reductions in negative mood in the benign condition.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn negative training, negative mood increased significantly from pre- to post-training (ES=-0.20, 95% CI -0.35- -0.05), indicating on average 58% showed increases.
“In contrast, negative mood increased significantly (p<.01) for those receiving negative training (a small effect size of −0.20 with 95% CI −0.35– −0.05; table 2), indicating that, on average, 58% of individuals showed increases in negative mood after negative training”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAcross 75 independent samples from 34 studies, benign training produced a significant post-training difference between endorsement of positive and negative interpretations, with effect size 1.33 (95% CI 1.11-1.55).
“As shown in Table 2, across 75 independent samples (k = 75) (distributed over a total of 34 studies), benign and neutral training demonstrated a significant difference between endorsement of positive and negative interpretations after training. The effect size of this difference for the benign training was substantial (i.e., 1.33 with 95% CI 1.11–1.55).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor pre-post change in positive interpretation bias, the effect-size-level variance component was significantly larger than zero (p<.001), but study-level heterogeneity was not significant (p=.58).
“While the effect size level variance component was significantly larger than zero (p<.001), we did not find significant study-level heterogeneity (p = .58) for this outcome”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor pre-post change in negative mood, only effect-size-level heterogeneity was significant (p<.001), not study-level (p=.86).
“Again, only heterogeneity at the effect size level (p<.001) and not the study level (p = .86) was found”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor pre-post emotional challenge change in mood, there was significant study-level heterogeneity (p<.01) but not effect-size-level heterogeneity (p=.18).
“In contrast to the earlier outcomes, we found significant heterogeneity at the study (p<.01), but not at the effect size level (p = .18).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe change in negative mood for negative training differed significantly from neutral training (p<.01), but benign training did not differ significantly from neutral or no-training conditions (both p's >.05).
“Moreover, while the change in the negative training condition varied significantly from the change in the neutral condition (p<.01; table 3), there was no significant difference in the amount of change in mood state between the benign and neutral or no-training conditions (both p’s >.05)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe paradigm employed significantly impacted the post-training difference between positive and negative interpretation bias, with the AS paradigm (k=26) being significantly more effective.
“The paradigm employed significantly impacted on the post-training difference between positive and negative interpretation bias in that the AS paradigm (k = 26) was significantly more effective (Table 4).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNo use of feedback (k=12) yielded a non-significant small effect (ES=.01, p=.96, 54% chance), but use of feedback (k=8) increased the effect significantly by ES=.46 (p<.05), resulting in a total effect of ES=.46 (68% absolute chance and 26% higher chance).
“Additionally, while no use of feedback (k = 12) yielded a non-significant small effect (ES = .01, p = .96, corresponding to a 54% chance for an increase in positive interpretations), the use of feedback (k = 8) increased this effect significantly by ES = .46 (p<.05). This results in a total effect of feedback administration of ES = .46 (68% absolute chance and 26% higher chance of increase in”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningThe AS paradigm advantage corresponds to a 19 percentage point absolute difference and a 25% higher relative chance of endorsing positive over negative interpretations.
“In absolute terms, that is a 94%−75% = 19% percentage points difference. Relative, that is 94/75 = 1.25, that is a 25% higher chance of endorsing positive interpretations more strongly than negative interpretations.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor pre-post change in positive interpretation bias, paradigm, imagery instructions, and sex emerged as significant moderators.
“For the change in positive interpretation bias from pre- to post-training, again paradigm, imagery instructions, and sex emerged as significant moderators.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNo use of imagery instructions (k=8) resulted in an effect size of .54 (p<.01), indicating a chance of about 71% for endorsing more positive than negative interpretations.
“No use of imagery instructions (k = 8) resulted in an effect size of.54 (p<.01) indicating a chance of about 71% for endorsing more positive than negative interpretations.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataParadigm and imagery-use were almost perfectly confounded; all AS paradigms employed imagery instructions, whereas only one of the nine homograph paradigms did.
“However, it needs to be noted that paradigm and imagery-use were almost perfectly confounded; all AS-paradigms employed imagery instructions, whereas only one of the nine homograph paradigms did.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe effect increased by ES=1.05 (p<.001) when imagery instructions were employed (k=27), resulting in an overall ES of 1.59, indicating a chance of almost 94% of endorsing more positive than negative interpretations, a 33% higher chance than when no imagery instructions were employed.
“This effect increased by ES = 1.05 (p<.001), when imagery instructions were employed (k = 27)(see Table 4), resulting in an overall ES of 1.59 indicating a chance of almost 94% of endorsing more positive than negative interpretations, that is a 33% higher chance than when no imagery instructions were employed.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn all-female samples, the post-training difference between positive and negative interpretation biases was large and significant (ES=2.03, p<.001, 98% chance), and this difference decreased by ES=-.02 (p<.05) per percentage point more males in the sample.
“Finally, while in all-female samples the difference between positive and negative interpretation biases was large and significant (ES = 2.03, p<.001, 98% chance of endorsing more positive than negative interpretations after training), this difference decreased by ES = −.02 (p<.05) per percentage point more males in the sample (see table 4).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe effect was significantly increased by ES=.95 (p<.001) when other paradigms (k=6) were employed, resulting in an overall ES=1.08, corresponding to a 54% higher chance of an increase in positive interpretation bias.
“This effect was then, however, significantly increased by ES = .95, p<.001) when ‘other’ paradigms (k = 6; 1 homograph; 3 WSAT, and 2 other paradigms) were employed. This results in an overall ES = 1.08 corresponding to a 54% higher chance of an increase in positive interpretation bias.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor post-training endorsement of positive versus negative interpretations, use of imagery instructions and male sex within the sample correlated by r=-.60, indicating that samples including fewer male participants were more often instructed to use imagery.
“For the endorsement of positive versus negative interpretations after training, the use of imagery instructions and male sex within the sample correlated by r = −.60 indicating that samples including fewer male participants were more often instructed to use imagery.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAll other paradigms combined (k=9) yielded a significant effect size of .69 (p<.001), indicating a 75% chance on average for endorsing positive interpretations more strongly than negative interpretations.
“All other paradigms combined (k = 9) yielded a significant effect size of.69 (p<.001), indicating that there is a 75% chance (on average) for endorsing positive interpretations more strongly than negative interpretations.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningFor AS paradigms, the effect increased by ES=.90, yielding an overall effect of 1.59, corresponding to a 94% chance for endorsing positive interpretations more strongly than negative interpretations.
“For AS-paradigms this effect increased by ES = .90 (see table 4), yielding an overall effect of.69+.90 = 1.59, which corresponds to a 94% chance for endorsing positive interpretations more strongly than negative interpretations.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNo use of imagery instructions (k=6) did not yield a significant effect (ES=-.20, p=.21, 42% chance), but imagery instructions (k=12) significantly enhanced the effect by ES=.50 (p<.01), resulting in a net effect of ES=.30 (62% absolute chance and 48% higher chance).
“Whereas no use of imagery instructions (k = 6) did not yield a significant effect (ES = −.20, p = .21, 42% chance of increase in positive interpretation bias), this effect was significantly enhanced by ES = .50 (p<.01) when imagery instructions were employed (k = 12). This results in a net-effect of imagery instructions of ES = .30 (62% absolute chance and 48% higher chance of increase in positive”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningIn a sample with 40% males, the total effect converges to 1.28, corresponding to an absolute chance of 90%, a 9% decreased chance of endorsing more positive than negative interpretations after training.
“Thus, in a sample with for example 40% males this converges to a total effect of 1.28, corresponding to an absolute chance of 90%, which is a 9% decreased chance of endorsing more positive than negative interpretations after training.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMore than one training session was only administered to individuals with symptoms, whereas one training session was administered to both healthy and symptomatic samples.
“However, it is important to mention that more than one training session was only administered to individuals with symptoms whereas one training session was administered to both healthy and symptomatic samples (also see table 1)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAdding one session significantly increased the decrease in negative mood by ES=.07 (p<.05), resulting in a total ES=.16 (56% absolute and 4% higher chance when administering two instead of one session).
“Adding one session (k one session = 40; k four sessions = 2; k six sessions = 1; k seven sessions = 2; k eight sessions = 2; k twelve sessions = 1) resulted in a significant larger decrease in negative mood by increasing the effect by ES = .07, p<.05, resulting in a total ES = .16, which corresponds to a 56% absolute and 4% higher chance of decrease in negative mood when administering for example”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningThe effect of 10 sessions of training would result in an ES=.80, with a higher chance of approximately 49%.
“Although this may seem a very small effect, the effect of 10 sessions of training would already result in an ES = .80, with a higher chance of approximately 49%.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAll-female samples showed a large and significant effect (ES=1.30, p<.001, 90% chance), and this effect was significantly reduced by ES=.03 (p<.01) per percentage point males; for 40% males, the chance for an increase would be lowered by 61%.
“Conform above results, while all-female samples showed a large and significant effect (ES = 1.30, p<.001, 90% chance of increase), this effect was significantly reduced by ES = .03 (p<.01) per percentage point males in the sample. Thus, a sample with for example 40% males, the chance for an increase in positive interpretation bias would be lowered by 61%.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe ratio of benign training items to all training items significantly moderated the pre-post change in positive interpretation bias; ratio .69 yielded ES=0.94 (83% chance), and ratio 1.00 significantly reduced the effect (p<.01), resulting in ES=.07 (53% absolute chance and 57% lower chance).
“Also, the ratio of benign training items versus all training items (ratio 0.69 (k = 2), 0.80 (k = 1), 1.00 (k = 17)) showed a significant effect. While the ratio of.69 yielded a large effect (ES = 0.94, corresponding to a 83% chance of an increase in interpretation bias) this effect was significantly reduced when the ratio became 1.00 (p<.01). This results in an absolute effect of ES = .07 (53%”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNo imagery instructions resulted in a non-significant effect (k=11; ES=-0.25, p=.083, 40% chance), but adding imagery instructions (k=33) increased the effect significantly by ES=.50 (p<.01), resulting in a total ES=.25 (60% absolute and 50% higher chance).
“The use of no imagery instructions resulted in a non-significant effect (k = 11; ES = −0.25, p = .083, 40% chance of decrease in negative mood). However, adding imagery instructions (k = 33) increased this effect significantly by ES = .50 (p<.01), resulting in a total ES = .25, which corresponds to a 60% absolute and 50% higher chance of decrease in negative mood.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAdding one training session significantly increased the effect of training by ES=.08 (p<.01; total ES=.01; absolute chance of 51% and higher chance of 6%).
“Finally, adding one training session significantly increased the effect of training by ES = .08 (k one session = 12; k four sessions = 2; k six sessions = 1; k seven sessions = 2; k eight sessions = 2; k twelve sessions = 1, p<.01; total ES = .01; absolute chance of 51% and higher chance of 6%).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNone of the moderators demonstrating a significant effect correlated strongly with another (all r's ≤.50), except for number of training sessions and health status (r=.73).
“None of the moderators demonstrating a significant effect correlated strongly with another (all r’s ≤.50), except for the number of training sessions and health status of individuals (r = .73) (also see Table S3).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataPost-hoc analyses including both number of training sessions and health status showed ES=.09 (p<.05) for number of sessions and ES=-.01 (p=.99) for health status.
“Post-hoc analyses including both ‘number of training sessions’ and ‘health status’ revealed the following effects: ES = .09, p<.05 for ‘number of sessions’ and ES = −.01, p = .99, for ‘health status’”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe effect was significantly increased by ES=.29 (p=.05) when other paradigms were employed (k=10), with a total effect of ES=.48 (68% absolute chance and 17% higher chance).
“This effect was significantly increased by ES = .29 (p = .05) when other paradigms were employed (k = 10). The total effect when other paradigms were employed therefore was ES = .48, with an absolute chance of 68% and a higher chance of 17% of decrease in negative mood.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataThe correlations between the significant moderators for change in negative mood were small (all r's <.36).
“The correlations between the significant moderators here were small (all r’s <.36) (also see Table S3).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThere was no significant correlation between post-training endorsement of positive versus negative bias or pre-post change in positive bias and increase in negative mood in response to an emotional challenge (r=-.0001, CI -0.41-0.41, k=23 and r=-.15, CI -0.77-0.62, k=8, respectively).
“There was no significant correlation between the endorsement of positive versus negative bias after training or the change in positive bias from before to after training and the increase in negative mood in response to an emotional challenge (r = −.0001, CI −0.41–0.41, k = 23 and r = −.15, CI −0.77–0.62, k = 8, respectively).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataSome additional analyses possibly hint at asymmetry in the pre-training versus post-training endorsements of positive interpretations outcome.
“(see Figure S1 for some additional analyses possibly hinting at some asymmetry in the pre-training versus post-training endorsements of positive interpretations outcome).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWhile benign training effects differed reliably from negative training effects, the difference relative to neutral or no-training conditions remained insignificant for the change in positive bias and mood.
“While these benign training effects differed reliably from negative training effects, the difference relative to neutral or no-training conditions remained insignificant for the change in positive bias and mood.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the current analyses, benign CBM-I resulted in large post-training endorsements of positive relative to negative interpretations, small to medium changes in positive interpretational style from pre- to post training, and small decreases in negative mood states from pre- to post training.
“In the current analyses, benign CBM-I resulted in large post-training endorsements of positive relative to negative interpretations, in small to medium changes in positive interpretational style from pre- to post training, and small decreases in negative mood states from pre- to post training.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBenign CBM-I training resulted in significant but small decreases in negative mood, which significantly differed from changes in the opposite direction in the negative condition, but not from changes in neutral and no-training conditions.
“Benign CBM-I training resulted in significant, but small decreases in negative mood, which significantly differed from changes in the opposite direction in the negative condition, but not from changes in neutral and no-training conditions.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe benign condition showed significant but small changes in positive interpretation bias from pre- to post-training, which differed from negative training only.
“The benign condition showed significant but small changes, which differed from negative training only.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWhereas benign CBM-I seems to be the only condition to significantly affect interpretational biases, mood was affected in all but the no-training condition.
“Whereas benign CBM-I seems to be the only condition to significantly affect interpretational biases, mood was affected in all but the no-training condition.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBenign CBM-I resulted in a large post-training difference between positive and negative interpretation bias, which was also significantly larger than in any comparison condition.
“Benign CBM-I resulted in a large post-training difference between positive and negative interpretation bias, which was also significantly larger than in any comparison condition.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataImagery instructions were able to significantly boost improvements in both positive interpretation bias and negative mood.
“Most convincingly, imagery instructions were able to significantly boost improvements in both positive interpretation bias and negative mood.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRepeated training sessions were most often employed in samples with mood-symptoms, and mood-symptoms also showed significant influence on the increase in positive interpretation bias.
“repeated training sessions were most often employed in samples with mood-symptoms (with the latter also showing significant influence on the increase in positive interpretation bias)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe effect sizes for adding one additional training session were small: .08 for increase in positive interpretation bias and .07 for decrease in negative mood.
“Although the effect sizes were small (.08 for increase in positive interpretation bias and.07 for decrease in negative mood)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBoth sex and imagery yielded significant effects for each of the other outcome measures as well, where only very weak correlations were observable, supporting the robustness of the imagery effect.
“However, both sex and imagery yielded significant effects for each of the other outcome measures as well (where only very weak correlations were observable) supporting the robustness of the imaging effect.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningThe increase in positive interpretation bias from pre- to post-training was particularly prominent in samples with anxiety and mood symptoms/diagnoses as compared to healthy non-symptomatic controls, which showed a non-significant change.
“The increase in positive interpretation bias from pre- to post-training was particularly prominent in samples with anxiety and mood symptoms/diagnoses as compared to healthy (non-symptomatic) controls (showing a non-significant change).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataParticularly women tend to benefit more from benign CBM-I, both cognitively (interpretation bias) and emotionally (mood), with significant and large effect sizes.
“Our findings indicated that particularly women (who are more vulnerable to develop mood symptoms) tend to benefit more from benign CBM-I, both cognitively (interpretation bias) and emotionally (mood) with significant and large effect sizes.”
Quote in the paperSubstantial claim- Rests on an assumption: Women are more vulnerable to develop mood symptoms.
May combine two claims.
FindingreasoningAdministering feedback about response accuracy and having a moderate ratio of benign training items and total items within the training was related to a larger increase in positive interpretation bias with moderate to large effect sizes, while not influencing any other outcome measures.
“While not influencing any of the other outcome measures, administering feedback about response accuracy and having a moderate ratio of benign training items and total items within the training was further related to a larger increase in positive interpretation bias with moderate (feedback) to large (ratio) effect sizes.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningPost-hoc analyses did not support the influence of emotional symptoms, but all studies administering more than one training session were conducted in symptomatic samples, possibly suggesting that repeated sessions are of added value within symptomatic samples.
“Although post-hoc analyses did not support the influence of emotional symptoms, it is important to notice that all studies administering more than one training session were conducted in symptomatic samples, possibly suggesting that repeated sessions are of added value within symptomatic samples.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBenign CBM-I was associated with an increase in positive interpretation bias and a decrease in negative mood.
“It was associated with an increase in positive interpretation bias and a decrease in negative mood.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataEmploying imagery instructions in particular and to a lesser extent repeated training sessions, a moderate ratio of benign training items and total items, and administering feedback during training can significantly increase these effects.
“employing imagery instructions in particular and to a lesser extent repeated training sessions, a moderate ratio of benign training items and total items, and administering feedback during training can significantly increase these effects.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe increase in positive interpretation bias and decrease in negative mood were significantly correlated, indicating that an improvement in cognitive style goes hand in hand with immediate improvements in mood.
“These effects (i.e., increase in positive interpretation bias and decrease in negative mood) were significantly correlated indicating that an improvement in cognitive style goes hand in hand with immediate improvements in mood.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe review protocol adhered to the PRISMA guidelines.
“The protocol for reviewing the articles was developed by the first author based on the suggested strategy by Lipsey and Wilson [22] and adhered to the PRISMA guidelines (Table S1).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22] MW Eysenck, 1991, Bias in interpretation of ambiguous sentences related to threat in anxiety, Journal of Abnormal Psychology source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe whole screening procedure was conducted independently by two researchers.
“The whole screening procedure was conducted independently by two researchers (CML and PH for the first two searches, and CML and SH for the last search).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationWomen present more often with emotional problems than men.
“women present more often with emotional problems than men, e.g. see [21]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [21] MM Husky, 2009, Past depression and gender interact to influence emotional reactivity to daily life stress, Cognitive Therapy and Research source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductreasoningAllocation to training groups was done at random in studies with more than one training group.
“for studies with more than one training group, allocation to training groups was done at random to prevent confounding of the data by any third variables such as personal preference.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenRisk of bias in individual studies was minimized by making randomization to training condition an inclusion criterion for reports with more than one training condition.
“Risk of bias in individual studies was attempted to be kept at a minimum by making randomization to training condition an inclusion criteria for those reports including more than one training condition.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenFor studies with training across several sessions, attrition within each training condition was coded as a proxy for risk of selected attrition in the benign condition.
“For those studies that administered training across several sessions, attrition (percentage of drop-out) within each training condition was coded as a proxy for risk of selected attrition in the benign condition.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataAll included articles were independently coded by at least two researchers using a standardized coding protocol.
“All included articles were independently coded by at least two researchers (CML, PH, ZK, and SH) using a standardized coding protocol and appropriate forms (available upon request from the first author; also see ‘protocol’).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataAll missing data were requested from authors via e-mail, and all but five out of 35 contacted responded (response rate = 86%).
“All missing data were requested from authors via e-mail. As most primary articles report between-group differences at post-training rather than within-group comparisons, almost all authors were contacted. All but five out of 35 of those contacted responded positively (response rate = 86%).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductcitationTo avoid non-independent effect size estimates, only one measure was selected based on an a priori established preference list.
“To avoid the problem of non-independent effect size estimates in these samples, we selected only one measure based on an a priori established preference list [26].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] Cooper H (2010) Research synthesis and meta-analysis: A step-by-step approach. Thousands Oaks, CA: Sage.
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Study design and conductown dataSummary statistics necessary to compute effect sizes were retrieved by at least two independent coders, compared, and if necessary adapted.
“The summary statistics necessary to compute the effect sizes (see below) were retrieved from the articles by at least two independent coders (CML, PH, ZK, and SH), compared, and if necessary adapted.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenIf the same group of subjects underwent more than one training, only d for the first training condition the group was exposed to was computed.
“if the same group of subjects underwent more than one training (whether it be a different training condition or a variation of the same training condition) we only computed d for the first training condition the group was exposed to.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductreasoningFor studies where r was unknown and SDdiff had to be computed, the mean correlation was employed to impute r separately for each of the four training conditions per contrast.
“For studies where r was unknown and SDdiff had to be computed in order to obtain d, the mean correlation was employed to impute r (this was done separately for each of the four training conditions per contrast).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenTo address whether random assignment and attrition affect results, these variables were coded for each study.
“To address the question whether random assignment and attrition affects results these variables were coded for each study.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningThe main analyses were repeated excluding studies with only one training condition and excluding conditions with an attrition rate >15%.
“To address the potential risk of bias within studies, the main analyses were repeated excluding studies with only one training condition and therefore no random assignment to training condition and excluding conditions that had an attrition rate of >15%.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationArticles were retrieved according to the PRISMA guidelines.
“Articles were retrieved according to the PRISMA guidelines [24].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] D Moher, 2009, Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement, PLoS Med source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataPublication bias was examined visually by inspecting funnel plot asymmetry and by testing the inverse of sample size as a covariate.
“We also examined the presence of publication biases visually (by inspecting the presence of asymmetry in funnel plots) and by including and testing the inverse of the sample size as a potential covariate in the models [30].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] JL Peters, 2006, Comparison of two methods to detect publication bias in meta-analysis, Journal of the American Medical Association source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationFor an effect size of 0.2, 58% of individuals are expected to show an increase in positive interpretation bias (and a decrease in negative mood).
“For an effect size of 0.2 (a “small” effect), the positive interpretation bias is expected to increase (and negative mood is expected to decrease) for φ(0.2) = .58 (i.e., 58%) of individuals.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] SB Morris, 2002, Combining effect size estimates in meta-analysis with repeated measures and independent-group desings, Psychological Methods source
Not checked in the free run.
May combine two claims.
PremisecitationFor effect sizes of 0.5 and 0.8, 69% and 79% of individuals, respectively, are expected to show an increase in positive interpretation bias (and a decrease in negative mood).
“Effect sizes of 0.5 (a “medium” effect) and 0.8 (a “large” effect) correspond to an increase in positive interpretation bias (and a decrease in negative mood) in 69% and 79% of individuals, respectively [31].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] SB Morris, 2002, Combining effect size estimates in meta-analysis with repeated measures and independent-group desings, Psychological Methods source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA significant relationship between the inverse of the sample size and the observed d-values may be suggestive of publication bias.
“A significant relationship between the inverse of the sample size and the observed d-values may be suggestive of publication bias.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] JL Peters, 2006, Comparison of two methods to detect publication bias in meta-analysis, Journal of the American Medical Association source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductown dataModerators were entered separately because entering them simultaneously would have lost the majority of data due to missing values and drastically reduced power.
“Each of the moderators was added to the meta-regression separately (we were unable to enter the moderators simultaneously as the majority of data would be lost due to missing values (also see table 1), which would have drastically reduced the power to find any relationships).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFor a standardized mean change d, φ(d) estimates the proportion of individuals for whom the difference or change scores reflect a preferable outcome.
“Letting φ() denote the cumulative density function of a standard normal distribution, the interpretation of the standardized mean change can also be facilitated by noting that φ(d) estimates the proportion of individuals for which the difference or change scores reflect a preferable outcome [31].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] SB Morris, 2002, Combining effect size estimates in meta-analysis with repeated measures and independent-group desings, Psychological Methods source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductreasoningWhen analyzing specific training characteristics, the type of training paradigm was controlled for whenever it had a significant moderating effect.
“However, since training paradigm (AS, homograph, and WSAT) is a rather complex variable possibly differentially influencing the effect of other training characteristics, we controlled for type of paradigm (whenever training paradigm resulted in a significant moderating effect) when analyzing the more specific training characteristics.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationown dataThe pooled effects for pre-post emotional challenge change in mood reflect averages across studies.
“As before, the pooled effects reflect averages across studies.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe effects of repeated number of training sessions and mood symptoms for the increase in positive interpretation bias were strongly associated and therefore need to be viewed with caution.
“Although most correlations between the significant moderators were far from perfect (≤.5), the effects of repeated number of training sessions and mood symptoms for the increase in positive interpretation bias were strongly associated and therefore need to be viewed with caution.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationCBM-I has recently been considered a promising clinical tool with potential for boosting positive thoughts and thereby improving emotional symptoms.
“Cognitive bias modification training for interpretation bias (CBM-I) has recently been considered a promising clinical tool, e.g., see [33] with potential for boosting positive thoughts (i.e., positive or benign interpretations of ambiguous situations) and thereby improving emotional symptoms.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] SE Blackwell, 2010, Modifying interpretation and imagination in clinical depression: a single case series using cognitive bias modification, Applied Cognitive Psychology source
Not checked in the free run.
May combine two claims.
InterpretationreasoningTraining paradigm, imagery instructions, number of training sessions, and sex moderated the impact of benign training on at least two different outcome measures.
“To sum up, training paradigm, imagery instructions, the number of training sessions, and sex moderated the impact of benign training on at least two different outcome measures.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationThese findings partly support but also extend results from the earlier meta-analysis which combined assessment of CBM-I effects with another training program, CBM-A.
“These findings partly support but also extend results from the earlier meta-analysis which combined assessment of CBM-I effects with another training program, CBM-A [11].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11] LS Hallion, 2011, A meta-analysis of the effect of cognitive bias modification on anxiety and depression, Psychological Bulletin source
Not checked in the free run.
May combine two claims.
Study design and conductown dataCompared to benign training, no-training and neutral training were administered less frequently (three and six samples vs 20 samples), so power for these comparisons might have been reduced.
“However, it also needs to be taken into account that compared to the benign training no-training and neutral training were administered less frequently (three and six samples as compared to 20 samples), hence power for these comparisons might have been reduced.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataOnly benign training showed a significant change in interpretational style, indicating its potential as an interventive tool.
“Yet, it is still notable that only benign training showed a significant change in interpretational style, indicating its potential as an interventive tool.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationWatching stressful videos, trying to solve an unsolvable anagram task under time pressure, or giving a speech should be stressful for most individuals.
“For example, watching stressful videos [39], trying to solve an unsolvable anagram task under time pressure ‘knowing’ that ‘most people have no problems solving it in time’, e.g., see [9] or giving a speech, e.g. see [55] should be stressful for most individuals.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [39] Hertel PT, Vasquez E, Benbow A, Hughes M (2011) Recollection is impaired by the modification of interpretation bias. Journal of Abnormal Psychology Advance online publication. doi:10.1037/a0023974. source
Not checked in the free run.
- cites [9] E Salemink, 2009, Effects of positive interpretive bias modification in highly anxious individuals, Journal of Anxiety Disorders source
Not checked in the free run.
- cites [55] H Standage, 2009, Comparing visual and auditory presentation for the modification of interpretation bias, Journal of Behavior Therapy and Experimental Psychiatry source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningFrom the current results it is impossible to tell whether the AS-paradigm would still be superior to the homograph paradigm if no imagery instructions had been employed.
“From the current results it impossible to tell whether the AS-paradigm would still be superior to the homograph paradigm if no imagery instructions had been employed.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe AS-paradigm was developed to increase stimuli realism and is a task with high face validity.
“Overall, the AS-paradigm was developed to increase stimuli realism [7], [64] and is a task with high face validity.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7], [64]
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningAssuming individuals are confronted with ambiguous situations repeatedly in their daily lives, the cumulative effect of benignly interpreting these situations might result in clinically significant improvements in the long run.
“assuming that individuals are confronted with ambiguous situations repeatedly in their daily lives, the cumulative effect of benignly interpreting these situations might result in clinically significant improvements in the long run”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Individuals are confronted with ambiguous situations repeatedly in their daily lives.
Classified as probably not a substantial claim.
InterpretationreasoningTraining effects are more visible when training and test are of increased similarity.
“So, perhaps training effects are more visible when training and test are of increased similarity.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe findings for the post-training endorsement of positive versus negative bias may have been solely driven by the use of imagery instructions, which were almost only employed in studies with the AS-paradigm.
“Alternatively, the findings for the post-training endorsement of positive versus negative bias may have been solely driven by the use of imagery instructions which were (almost) only employed in studies with the AS-paradigm.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationPrevious research has shown that, while the endorsement of positive versus negative interpretation style after training showed significant training effects with the AS-paradigm, other interpretation bias assessment tools did not.
“previous research has shown that, while the endorsement of positive versus negative interpretation style after training showed significant training effects with the AS-paradigm, other interpretation bias assessment tools did not [53]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [53] E Salemink, 2007, Trained interpretive bias: Validity and effects on anxiety, Journal of Behavior Therapy and Experimental Psychiatry source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationImagery has long been assumed to have a special link with emotions.
“Imagery has long been assumed to have a special link with emotions [18].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] EA Holmes, 2006, Positive Interpretation Training: Effects of Mental Imagery Versus Verbal Training on Positive Mood, Behavior Therapy source
Not checked in the free run.
May combine two claims.
PremisecitationThe use of imagery in CBM-I has been proposed to increase training effects and primary studies have supported this idea.
“The use of imagery in CBM-I has been proposed to increase training effects and primary studies have supported this idea [10], [18].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [10], [18]
Not checked in the free run.
May combine two claims.
Interpretationown dataThe effect of imagery for post-training endorsement of positive versus negative interpretations may be partly attributable to the effect of sex and vice versa.
“This may indicate that the effect of imagery for this particular outcome is partly attributable to the effect of sex and vice versa.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningIt is difficult to determine which of the two moderators, repeated training sessions and mood-symptoms, drove the effect, although post-hoc analyses including both factors simultaneously supported the robustness of the influence of more training sessions.
“This makes it difficult to determine which of the two moderators drove this effect although post-hoc analyses including both factors simultaneously supported the robustness of the influence of more training sessions.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationOne pioneering study already demonstrated the feasibility and effectiveness of a multi-session internet-based CBM-I.
“One pioneering study [34] already demonstrated the feasibility and effectiveness of a multi-session internet-based CBM-I.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [34] JO Bowler, 2012, A comparison of cognitive bias modification for interpretation and computerized cognitive behavior therapy: effects on anxiety, depression, attentional control, and interpretive bias, Journal of Consulting and Clinical Psychology source
Not checked in the free run.
May combine two claims.
InterpretationcitationThere was no indication for publication bias, so even had there been other unpublished data, these would not have changed the results.
“as there was no indication for publication bias [31], we cautiously suggest that even had there been other unpublished data, these would not have changed the results.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] SB Morris, 2002, Combining effect size estimates in meta-analysis with repeated measures and independent-group desings, Psychological Methods source
Not checked in the free run.
May combine two claims.
InterpretationreasoningExposure to one or more sessions of benign CBM-I may result in only moderate changes in healthy populations as they already possess a substantial positive interpretation bias to begin with, resulting in a ceiling effect.
“Exposure to one or more sessions of benign CBM-I may result in only moderate changes in healthy populations as they already possess a substantial positive interpretation bias to begin with, resulting in a ceiling effect.”
Quote in the paperSubstantial claim- Rests on an assumption: Healthy populations already possess a substantial positive interpretation bias to begin with.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationInterpretation biases represent only one potential bias in information processing, which, in turn, represents only one possible cause of emotional disturbance.
“Second, interpretation biases represent only one potential bias in information processing [64], which, in turn, represents only one possible cause of emotional disturbance [11].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [64] A Mathews, 2004, On the malleability of emotional encoding, Behaviour Research and Therapy source
Not checked in the free run.
- cites [11] LS Hallion, 2011, A meta-analysis of the effect of cognitive bias modification on anxiety and depression, Psychological Bulletin source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLow mood is a common symptom of mood- and anxiety disorders.
“Low mood is a common symptom of mood- and anxiety disorders [15].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15] APA (2000) Quick reference to the diagnostic criteria from DSM-IV-TR. Arlington, VA: American Psychiatric Association.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningWhether other symptoms like feelings of guilt or rumination can also be influenced by benign CBM-I cannot be answered.
“whether other symptoms like feelings of guilt or rumination can also be influenced cannot be answered.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataMost of the correlations between the moderators were small to moderate, reducing the likelihood that the results were confounded by collinearity.
“Most of the correlations between the moderators were small to moderate reducing the likelihood that the results were confounded by collinearity.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationStudies are currently emerging showing that training more than one benign cognitive bias, such as interpretation and attention bias, and repeated training sessions of CBM-I result in clinically relevant improvements.
“Studies are currently emerging showing that training more than one benign cognitive bias (e.g., interpretation and attention bias) [68], [69] and repeated training sessions of CBM-I [20], [34] result in clinical relevant improvements.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [68], [69]
Not checked in the free run.
- cites [20], [34]
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAdolescents are particularly vulnerable to emotional disturbance.
“as adolescents are particularly vulnerable to emotional disturbance [70]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [70] Lewinsohn PM, Hops H, Roberts RE, Seeley JR, Andrews JA (1993) Adolescent psychopathology: I. Prevalence and incidence of depression and other DSM-III-R disorders in high school students. Journal of Abnormal Psychology 102.
Not checked in the free run.
May combine two claims.
Study design and conductreasoningThe current results depict the effects of the moderators above and beyond the effect of paradigm but not above and beyond the presence of any other moderators.
“Therefore, the current results depict the effects of the moderators above and beyond the effect of paradigm but not above and beyond the presence of any other moderators.”
Quote in the paperSubstantial claim
The paper relies on this without support.
CBM-I was first introduced in 2000.
“To the authors’ knowledge, CBM-I was first introduced in 2000; additional searches for the years 1992 through 1999 were conducted to ensure that no earlier and possibly less popular accounts were missed.”
The paper relies on this without support.
It is currently unclear whether one of the various CBM-I paradigms used is more effective than others.
“It is currently unclear whether one of the various CBM-I paradigms used (i.e., homograph, AS, and WSAT) is more effective than others.”
The paper relies on this without support.
The administration of feedback about response accuracy has not yet been systematically tested.
“However, to the best of the authors’ knowledge, this has not yet been systematically tested.”
The paper relies on this without support.
Additional training characteristics such as mode of stimuli presentation and ratio of training items have not yet been systematically investigated.
“Additional training characteristics, such as the mode of stimuli presentation (visual or auditory), and the ratio of training items in the benign training direction to the total number of presented items (i.e., does the fraction of benign items matter?) also frequently vary between CBM-I studies but have not yet been systematically investigated.”
The paper relies on this without support.
Questions remain on the degree to which CBM can actually ‘correct’ biases and reduce symptomatology.
“While recent individual studies appear promising, questions remain on the degree to which CBM can actually ‘correct’ biases and reduce symptomatology.”
The paper relies on this without support.
The emotional challenges used in the included studies were universally stressful and not under the direct influence of interpretation biases.
“For example, watching stressful videos [39], trying to solve an unsolvable anagram task under time pressure ‘knowing’ that ‘most people have no problems solving it in time’, e.g., see [9] or giving a speech, e.g. see [55] should be stressful for most individuals.”
The authors state this as an assumption.
Individuals are confronted with ambiguous situations repeatedly in their daily lives.
“assuming that individuals are confronted with ambiguous situations repeatedly in their daily lives”
The paper relies on this without support.
Interpretation biases only start to play a role in reducing mood when people are confronted with ambiguous situations in their own life.
“First, interpretation biases only start to play a role in reducing mood when people are confronted with ambiguous situations in their own life.”
The paper relies on this without support.
Women are more vulnerable to develop mood symptoms.
“particularly women (who are more vulnerable to develop mood symptoms)”
The paper relies on this without support.
Healthy populations already possess a substantial positive interpretation bias to begin with.
“as they already possess a substantial positive interpretation bias to begin with”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A greater number of training sessions and instructions for participants to imagine themselves in the social scenarios produce larger effects on social anxiety disorder symptoms.
“While the effect on social anxiety symptoms has not always been greater than control conditions, a greater number of training sessions and instructions for participants to imagine themselves in the social scenarios have been shown to produce larger effects on social anxiety disorder symptoms (Menne-Lothmann et al., 2014).”
From Acceptability and Co-Development of an Online Cognitive Bias Modification Intervention for Emerging Adults With Hazardous Alcohol Use and Social Anxiety: A Mixed Methods Study (2020) · cites this paper as Menne-Lothmann et al., 2014
The Results section reports that imagery instructions and additional training sessions were associated with larger decreases in negative mood. It does not establish larger effects on social anxiety disorder symptoms specifically, or limit the imagery instructions to imagining oneself in social scenarios. The paper also cautions that repeated sessions were closely associated with participants’ symptom status. (LLM, conf=0.88)
Experimental — accuracy not yet measuredResearch evidence has demonstrated the efficacy of CBM-I in reducing pathological beliefs and symptoms within the affective disorder spectrum.
“Research evidence has demonstrated the efficacy of CBM-I in reducing pathological beliefs and symptoms within the affective disorder spectrum [10].”
From A qualitative study of the acceptability of cognitive bias modification for paranoia (CBM-pa) in patients with psychosis (2019) · cites this paper as [10]
The Discussion’s Conclusions report that benign CBM-I increased positive interpretation bias and decreased negative mood, but note that effects did not consistently differ from control training. The Discussion’s Limitations and future directions section says the effect on low mood was small and that effects on other symptoms, such as guilt or rumination, could not be determined. The paper therefore does not establish efficacy in reducing pathological beliefs and symptoms across the affective disorder spectrum. Page numbers are unavailable in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measuredMeta-analytic findings suggest that IBM training has a small effect on reducing negative mood.
“Metaanalytic findings suggest that IBM training has a small effect on reducing negative mood (Cristea, Kok et al., 2015;Hallion & Ruscio, 2011;Menne-Lothmann et al., 2014).”
From Anxiety and attention to threat: cognitive mechanisms and treatment with attention bias modification (2016) · cites this paper as Menne-Lothmann et al., 2014
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
No-training effect is not centered in its reported confidence interval
MinorThe reported 95% confidence interval has a midpoint of 0.35, not the reported effect size of 0.28. This is inconsistent with a symmetric confidence interval for the estimated effect.
Reported 0.28 · recomputed 0.35
“| | | 6 | No training | 0.28 | −0.16; 0.86 | .72 |”
Mood-analysis session counts exceed the reported sample total
MinorThe session-frequency counts for the benign-training mood analysis sum to 48 samples, but Table 2 reports 47 benign samples for that outcome.
Reported 47 · recomputed 48
“Adding one session (k one session = 40; k four sessions = 2; k six sessions = 1; k seven sessions = 2; k eight sessions = 2; k twelve sessions = 1)”
Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823 · see citing works
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000097 · Cited by 64,042 · see citing works
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859 · see citing works
Hamilton, M. (1960) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.23.1.56 · Cited by 32,817 · see citing works
Conducting Meta-Analyses in <i>R</i> with the <b>metafor</b> Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464 · see citing works
Self-citationPsychometric properties of the Beck Depression Inventory: Twenty-five years of evaluation
Beck, A. T., Steer, R. A., & Carbin, M. G. (1988) · Clinical Psychology Review · doi:10.1016/0272-7358(88)90050-5 · Cited by 11,696 · see citing works
Mixed-Effects Models in Sand S-PLUS
Pinheiro, J. C., & Bates, D. M. (2000) · Statistics and Computing · doi:10.1007/978-1-4419-0318-1 · Cited by 11,187 · see citing works
Mixed-Effects Models in S and S-PLUS
(2001) · Technometrics · doi:10.1198/tech.2001.s574 · Cited by 9,278 · see citing works
Validity and reliability of the Experience-Sampling Method
CSIKSZENTMIHALYI, M., & LARSON, R. (1987) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-198709000-00004 · Cited by 2,544 · see citing works
Morris, S. B., & DeShon, R. P. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.1.105 · Cited by 2,502 · see citing works
Comparison of two methods to detect publication bias in meta-analysis.
Peters, J. L. (2006) · JAMA · doi:10.1001/jama.295.6.676 · Cited by 2,278 · see citing works
Lewinsohn, P. M., Hops, H., Roberts, R. E., Seeley, J. R., & al, E. (1993) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.102.1.133 · Cited by 1,736 · see citing works
Research Synthesis and Meta-Analysis: A Step-by-Step Approach
Cooper, H. (2017) · doi:10.4135/9781071878644 · Cited by 1,716 · see citing works
Lewinsohn, P. M., Hops, H., Roberts, R. E., Seeley, J. R., & Andrews, J. A. (1993) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.102.1.133 · Cited by 1,547 · see citing works
Evaluation of networks of randomized trials
Salanti, G., Higgins, J. P., Ades, A., & Ioannidis, J. P. (2008) · Statistical Methods in Medical Research · doi:10.1177/0962280207080643 · Cited by 1,078 · see citing works
A meta-analysis of the effect of cognitive bias modification on anxiety and depression
Hallion, L. S., & Ruscio, A. M. (2011) · Psychological Bulletin · doi:10.1037/a0024355 · Cited by 891 · see citing works
Induced emotional interpretation bias and anxiety.
Mathews, A., & Mackintosh, B. (2000) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.109.4.602 · Cited by 739 · cited 5× · see citing works
“In total, five included only one training condition and therefore had no random assignment to training group (see also table 1): Blackwell and Holmes [33] trained seven individuals to adopt benign interpretations, Grey and Mathews [5] administered neutral interpretation bias training to 20 individuals, Holmes and coll…”
BackgroundMethodInfluentialHappiness in Everyday Life: The Uses of Experience Sampling
Csikszentmihalyi, M., & Hunter, J. (2003) · Journal of Happiness Studies · doi:10.1023/a:1024409732742 · Cited by 717 · see citing works
Attentional bias in generalized anxiety disorder versus depressive disorder.
Mogg, K., & Bradley, B. P. (2005) · Cognitive Therapy and Research · doi:10.1007/s10608-005-1646-y · Cited by 565 · see citing works
Furmark, T., Tillfors, M., Marteinsdottir, I., Fischer, H., Pissiota, A., Långström, B., & Fredrikson, M. (2002) · Archives of General Psychiatry · doi:10.1001/archpsyc.59.5.425 · Cited by 530 · see citing works
Bias in interpretation of ambiguous sentences related to threat in anxiety
Eysenck, M. W., Mogg, K., May, J., Richards, A., & Mathews, A. (1991) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.100.2.144 · Cited by 516 · see citing works
Blackhart, G. C., Nelson, B. C., Knowles, M. L., & Baumeister, R. F. (2009) · Personality and Social Psychology Review · doi:10.1177/1088868309346065 · Cited by 504 · cited 1× · see citing works
“In contrast, continuous variation in mood states not only may be used to characterize the common symptom ‘low mood’ of anxiety and depression but also can be measured reliably in general population samples [15,16], particularly in response to emotional challenges [17].”
BackgroundHolmes, E. A., Lang, T. J., & Shah, D. M. (2009) · Journal of Abnormal Psychology · doi:10.1037/a0012590 · Cited by 400 · see citing works
Positive Interpretation Training: Effects of Mental Imagery Versus Verbal Training on Positive Mood
Holmes, E. A., Mathews, A., Dalgleish, T., & Mackintosh, B. (2006) · Behavior Therapy · doi:10.1016/j.beth.2006.02.002 · Cited by 391 · see citing works
Beard, C., & Amir, N. (2008) · Behaviour Research and Therapy · doi:10.1016/j.brat.2008.05.012 · Cited by 319 · see citing works
Introduction to the special section on cognitive bias modification in emotional disorders
Koster, E. H. W., Fox, E., & MacLeod, C. (2009) · Journal of Abnormal Psychology · doi:10.1037/a0014379 · Cited by 272 · see citing works
The causal role of interpretive bias in anxiety reactivity
Wilson, E. J., MacLeod, C., Mathews, A., & Rutherford, E. M. (2006) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.115.1.103 · Cited by 262 · cited 2× · see citing works
“Those included overall stressful videos [8,39,43,45,63], unsolvable anagram tasks [9,52], worry intrusions or negative mood inductions [10,37,40,50], symptom provoking tasks [35,58], speech anticipation [55], and exposure to emotional faces combined with ‘incorrect’ feedback [61].”
BackgroundResultEstimation of Effect Size From a Series of Experiments Involving Paired Comparisons
Gibbons, R. D., Hedeker, D., & Davis, J. M. (1993) · Journal of Educational Statistics · doi:10.3102/10769986018003271 · Cited by 230 · see citing works
Facilitating a benign interpretation bias in a high socially anxious population
Murphy, R., Hirsch, C. R., Mathews, A., Smith, K., & Clark, D. M. (2007) · Behaviour Research and Therapy · doi:10.1016/j.brat.2007.01.007 · Cited by 198 · see citing works
Blackwell, S. E., & Holmes, E. A. (2010) · Applied Cognitive Psychology · doi:10.1002/acp.1680 · Cited by 196 · see citing works
Combining Imagination and Reason in the Treatment of Depression
Williams, A. D., Blackwell, S., Mackenzie, A., Holmes, E., & Andrews, G. (2013) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0033247 · Cited by 177 · see citing works
Looking on the bright side: Accessing benign meanings reduces worry
Hirsch, C. R., Hayes, S., & Mathews, A. (2009) · Journal of Abnormal Psychology · doi:10.1037/a0013473 · Cited by 175 · see citing works
Inducing a benign interpretational bias reduces trait anxiety
Mathews, A., Ridgeway, V., Cook, E., & Yiend, J. (2007) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2006.10.011 · Cited by 171 · cited 2× · see citing works
“The same may be true for the current task where participants had to learn on most but not all occasions to interpret situations as benign – which is presumably also somewhat more reflective of real-life interactions [48].”
BackgroundLang, T. J., Blackwell, S. E., Harmer, C. J., Davison, P., & Holmes, E. A. (2012) · European Journal of Personality · doi:10.1002/per.855 · Cited by 171 · see citing works
The effects of modifying interpretation bias on worry in generalized anxiety disorder
Hayes, S., Hirsch, C. R., Krebs, G., & Mathews, A. (2010) · Behaviour Research and Therapy · doi:10.1016/j.brat.2009.10.006 · Cited by 167 · cited 1× · see citing works
“Those included overall stressful videos [8,39,43,45,63], unsolvable anagram tasks [9,52], worry intrusions or negative mood inductions [10,37,40,50], symptom provoking tasks [35,58], speech anticipation [55], and exposure to emotional faces combined with ‘incorrect’ feedback [61].”
BackgroundBowler, J. O., Mackintosh, B., Dunn, B. D., Mathews, A., Dalgleish, T., & Hoppitt, L. (2012) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0029932 · Cited by 164 · cited 4× · see citing works
“, interpretation and attention bias) [68,69] and repeated training sessions of CBM-I [20,34] result in clinical relevant improvements.”
BackgroundInfluentialMomentary assessment technology as a tool to help patients with depression help themselves
Wichers, M., Simons, C. J. P., Kramer, I., Hartmann, J., Menne‐Lothmann, C., Myin‐Germeys, I., van Bemmel, A. L., Peeters, F. P. M. L., Delespaul, P., & van Os, J. (2011) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2011.01749.x · Cited by 150 · see citing works
Self-citationAmir, N., Bomyea, J., & Beard, C. (2009) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2009.10.005 · Cited by 143 · see citing works
Mackintosh, B., Mathews, A., Yiend, J., Ridgeway, V., & Cook, E. (2006) · Behavior Therapy · doi:10.1016/j.beth.2006.03.001 · Cited by 143 · cited 3× · see citing works
“, see [8], unsolvable anagram tasks, e.”
BackgroundEffects of positive interpretive bias modification in highly anxious individuals
Salemink, E., van den Hout, M., & Kindt, M. (2009) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2009.02.006 · Cited by 143 · cited 3× · see citing works
“Those included overall stressful videos [8,39,43,45,63], unsolvable anagram tasks [9,52], worry intrusions or negative mood inductions [10,37,40,50], symptom provoking tasks [35,58], speech anticipation [55], and exposure to emotional faces combined with ‘incorrect’ feedback [61].”
BackgroundEffects of Training on Interpretation of Emotional Ambiguity
Grey, S. J., & Mathews, A. (2000) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/713755937 · Cited by 142 · see citing works
Brosan, L., Hoppitt, L., Shelfer, L., Sillence, A., & Mackintosh, B. (2011) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2010.12.006 · Cited by 139 · cited 1× · see citing works
“, interpretation and attention bias) [68,69] and repeated training sessions of CBM-I [20,34] result in clinical relevant improvements.”
BackgroundAmir, N., & Taylor, C. T. (2012) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0026928 · Cited by 136 · see citing works
Enduring consequences of experimentally induced biases in interpretation
Yiend, J., Mackintosh, B., & Mathews, A. (2005) · Behaviour Research and Therapy · doi:10.1016/j.brat.2004.06.007 · Cited by 135 · see citing works
Cognitive bias modification training in adolescents: effects on interpretation biases and mood.
Lothmann, C., Holmes, E., Chan, S., & Lau, J. Y. F. (2011) · Journal of Child Psychology and Psychiatry and Allied Disciplines · doi:10.1111/j.1469-7610.2010.02286.x · Cited by 127 · see citing works
Self-citationCombined cognitive bias modification treatment for social anxiety disorder: a pilot trial
Beard, C., Weisberg, R. B., & Amir, N. (2011) · Depression and Anxiety · doi:10.1002/da.20873 · Cited by 124 · cited 1× · see citing works
“, interpretation and attention bias) [68,69] and repeated training sessions of CBM-I [20,34] result in clinical relevant improvements.”
BackgroundGopinath, S., Katon, W. J., Russo, J. E., & Ludman, E. J. (2007) · Journal of Affective Disorders · doi:10.1016/j.jad.2006.10.023 · Cited by 111 · see citing works
Lang, T. J., Moulds, M. L., & Holmes, E. A. (2008) · Behaviour Research and Therapy · doi:10.1016/j.brat.2008.11.002 · Cited by 100 · see citing works
Modifying interpretations among individuals high in anxiety sensitivity
Steinman, S. A., & Teachman, B. (2010) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2009.08.008 · Cited by 97 · see citing works
Memory for emotional trait adjectives in clinically depressed youth.
Doost, H. T. N., Taghavi, M. R., Moradi, A., Yule, W., & Dalgleish, T. (1998) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.107.4.642 · Cited by 94 · see citing works
Cognitive bias modification: Induced interpretive biases affect memory.
Tran, T. B., Hertel, P. T., & Joormann, J. (2011) · Emotion · doi:10.1037/a0021754 · Cited by 91 · see citing works
Trained interpretive bias and anxiety
Salemink, E., van den Hout, M., & Kindt, M. (2007) · Behaviour Research and Therapy · doi:10.1016/j.brat.2006.03.011 · Cited by 90 · see citing works
Trained interpretive bias: Validity and effects on anxiety
Salemink, E., van den Hout, M., & Kindt, M. (2007) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2006.10.010 · Cited by 87 · see citing works
Inducing an interpretation bias changes self-imagery: A preliminary investigation
Hirsch, C. R., Mathews, A., & Clark, D. M. (2006) · Behaviour Research and Therapy · doi:10.1016/j.brat.2006.11.001 · Cited by 77 · see citing works
Training interpretation biases among individuals with symptoms of obsessive compulsive disorder
Clerkin, E. M., & Teachman, B. (2011) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2011.01.003 · Cited by 76 · see citing works
Cognitive bias modification: the critical role of active training in modifying emotional responses.
Hoppitt, L., Mathews, A., Yiend, J., & Mackintosh, B. (2010) · The Behavior Therapist · doi:10.1016/j.beth.2009.01.002 · Cited by 75 · see citing works
Muris, P., Huijding, J., Mayer, B., & Hameetman, M. (2008) · Child Psychiatry and Human Development · doi:10.1007/s10578-008-0103-z · Cited by 73 · see citing works
Salemink, E., & Wiers, R. W. H. J. (2011) · Behaviour Research and Therapy · doi:10.1016/j.brat.2011.10.006 · Cited by 70 · see citing works
Validation of the "recognition task" used in the training of interpretation biases.
Salemink, E., & van den Hout, M. (2010) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2009.11.006 · Cited by 65 · see citing works
Cognitive mechanisms underlying the emotional effects of bias modification
Hoppitt, L., Mathews, A., Yiend, J., & Mackintosh, B. (2010) · Applied Cognitive Psychology · doi:10.1002/acp.1678 · Cited by 64 · see citing works
Estimation of Effect Size from a Series of Experiments Involving Paired Comparisons
Gibbons, R. D., Hedeker, D., & Davis, J. M. (1993) · Journal of Educational Statistics · doi:10.2307/1165136 · Cited by 64 · see citing works
Past depression and gender interact to influence emotional reactivity to daily life stress
Husky, M. M., Mazure, C. M., Maciejewski, P. K., & Swendsen, J. D. (2009) · Cognitive Therapy and Research · doi:10.1007/s10608-008-9212-z · Cited by 62 · see citing works
Is manipulation of mood a critical component of cognitive bias modification procedures?
Standage, H., Ashwin, C., & Fox, E. (2010) · Behaviour Research and Therapy · doi:10.1016/j.brat.2009.08.005 · Cited by 52 · see citing works
Steel, C., Wykes, T., Ruddle, A., Smith, G., Shah, D. M., & Holmes, E. (2010) · Psychiatry Research · doi:10.1016/j.psychres.2010.04.042 · Cited by 47 · see citing works
Generalisation of modified interpretive bias across tasks and domains
Salemink, E., van den Hout, M., & Kindt, M. (2010) · Cognition & Emotion · doi:10.1080/02699930802692053 · Cited by 47 · see citing works
Training Non-Threatening Interpretations in Spider Fear
Teachman, B. A., & Addison, L. M. (2007) · Cognitive Therapy and Research · doi:10.1007/s10608-006-9084-z · Cited by 46 · see citing works
Implicit interpretation biases affect emotional vulnerability: A training study
Tran, T. B., Siemer, M., & Joormann, J. (2011) · Cognition & Emotion · doi:10.1080/02699931.2010.532393 · Cited by 42 · see citing works
Transfer of training emotionally biased interpretations
Hertel, P. T., Mathews, A., Peterson, S., & Kintner, K. (2003) · Applied Cognitive Psychology · doi:10.1002/acp.905 · Cited by 40 · see citing works
Macdonald, E. M., Koerner, N., & Antony, M. (2013) · Cognitive Therapy and Research · doi:10.1007/s10608-012-9519-7 · Cited by 37 · see citing works
Trained interpretive bias survives mood change.
Salemink, E., & van den Hout, M. (2010) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2010.02.010 · Cited by 36 · see citing works
Comparing visual and auditory presentation for the modification of interpretation bias
Standage, H., Ashwin, C., & Fox, E. (2009) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2009.07.006 · Cited by 31 · see citing works
Turner, R., Hoppitt, L., Hodgekins, J., Wilkinson, J., Mackintosh, B., & Fowler, D. G. (2011) · Behavioural and Cognitive Psychotherapy · doi:10.1017/s1352465810000706 · Cited by 31 · see citing works
Grey, S. J., & Mathews, A. (2009) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2009.01.003 · Cited by 26 · see citing works
On the malleability of emotional encoding
Mathews, A. (2004) · Behaviour Research and Therapy · doi:10.1016/j.brat.2004.04.003 · Cited by 25 · see citing works
Does Modified Interpretation Bias Influence Automatic Avoidance Behaviour
Lange, W.-G., Salemink, E., Windey, I., Keijsers, G., Krans, J., Becker, E., & Rinck, M. (2010) · Applied Cognitive Psychology · doi:10.1002/acp.1679 · Cited by 25 · see citing works
Recollection is impaired by the modification of interpretation bias.
Hertel, P. T., Vasquez, E., Benbow, A., & Hughes, M. (2011) · Journal of Abnormal Psychology · doi:10.1037/a0023974 · Cited by 22 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Selecting critical features for data classification based on machine learning methods
Chen, R.-C., Dewi, C., Huang, S.-W., & Caraka, R. E. (2020) · Journal Of Big Data · doi:10.1186/s40537-020-00327-4 · Cited by 983 · see citing works
Meta-analysis of action video game impact on perceptual, attentional, and cognitive skills.
Bediou, B., Adams, D. M., Mayer, R. E., Tipton, E., Green, C. S., & Bavelier, D. (2018) · Psychological Bulletin · doi:10.1037/bul0000130 · Cited by 807 · see citing works
Examining emotion regulation in depression: A review and future directions
Joormann, J., & Stanton, C. H. (2016) · Behaviour Research and Therapy · doi:10.1016/j.brat.2016.07.007 · Cited by 749 · see citing works
A comprehensive meta-analysis of interpretation biases in depression
Everaert, J., Podina, I. R., & Koster, E. H. W. (2017) · Clinical Psychology Review · doi:10.1016/j.cpr.2017.09.005 · Cited by 378 · see citing works
Resolving Ambiguity in Emotional Disorders: The Nature and Role of Interpretation Biases
Hirsch, C. R., Meeten, F., Krahé, C., & Reeder, C. (2016) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-021815-093436 · Cited by 331 · see citing works
Aresta, M., Dibenedetto, A., & Quaranta, E. (2016) · Journal of Catalysis · doi:10.1016/j.jcat.2016.04.003 · Cited by 346 · see citing works
Cognitive bias modification: A review of meta-analyses
Jones, E. B., & Sharpe, L. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.07.034 · Cited by 338 · see citing works
Anxiety and attention to threat: cognitive mechanisms and treatment with attention bias modification
Mogg, K., & Bradley, B. P. (2016) · Behaviour Research and Therapy · doi:10.1016/j.brat.2016.08.001 · Cited by 313 · see citing works
Fodor, L. A., Georgescu, R., Cuijpers, P., Szamoskozi, Ş., David, D., Furukawa, T. A., & Cristea, I. A. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30130-9 · Cited by 258 · see citing works
Everaert, J., Bronstein, M. V., Cannon, T. D., & Joormann, J. (2018) · Clinical Psychological Science · doi:10.1177/2167702617747968 · Cited by 181 · see citing works
New treatment approaches for severe and enduring eating disorders
Treasure, J., Cardi, V., Leppanen, J., & Turton, R. (2015) · Physiology & Behavior · doi:10.1016/j.physbeh.2015.06.007 · Cited by 91 · see citing works
Effects of cognitive bias modification on social anxiety: A meta-analysis
Liu, H.-N., Li, X.-W., Han, B.-X., & Liu, X. (2017) · PLoS ONE · doi:10.1371/journal.pone.0175107 · Cited by 79 · see citing works
Inactive Sulfide Ecosystems in the Deep Sea: A Review
Dover, C. L. V. (2019) · Frontiers in Marine Science · doi:10.3389/fmars.2019.00461 · Cited by 83 · see citing works
Martinelli, A., Grüll, J., & Baum, C. (2022) · Behaviour Research and Therapy · doi:10.1016/j.brat.2022.104180 · Cited by 79 · see citing works
Krebs, G., Pile, V., Grant, S., Esposti, M. D., Montgomery, P., & Lau, J. Y. F. (2017) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12809 · Cited by 76 · see citing works
Self-citationJamil, N. A. M., Rashid, N. M. N., Hamid, M. H. A., Rahmad, N. B., & Al‐Obaidi, J. R. (2017) · World Journal of Microbiology and Biotechnology · doi:10.1007/s11274-017-2385-4 · Cited by 71 · see citing works
Lichtenthal, W. G., Corner, G. W., Slivjak, E. T., Roberts, K. E., Li, Y., Breitbart, W., Lacey, S., Tuman, M., DuHamel, K. N., Blinder, V. S., et al. (2017) · Cancer · doi:10.1002/cncr.30478 · Cited by 70 · see citing works
de Voogd, E. L., de Hullu, E., Heyes, S. B., Blackwell, S. E., Wiers, R. W. H. J., & Salemink, E. (2017) · PLoS ONE · doi:10.1371/journal.pone.0181147 · Cited by 57 · see citing works
Summers, B. J., & Cougle, J. (2016) · Behaviour Research and Therapy · doi:10.1016/j.brat.2016.09.005 · Cited by 50 · see citing works
On the value of deep learning for diagnosing diabetic retinopathy
Lahmar, C., & Idri, A. (2021) · Health and Technology · doi:10.1007/s12553-021-00606-x · Cited by 56 · see citing works
Cougle, J., Summers, B. J., Allan, N. P., Dillon, K. H., Smith, H. L., Okey, S. A., & Harvey, A. M. (2017) · Behaviour Research and Therapy · doi:10.1016/j.brat.2017.09.004 · Cited by 49 · see citing works
Cardi, V., Esposito, M., Bird, G., Rhind, C., Yiend, J., Schifano, S., Hirsch, C. R., & Treasure, J. L. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.08.019 · Cited by 55 · see citing works
Salemink, E., Wolters, L., & de Haan, E. (2015) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2015.02.003 · Cited by 54 · see citing works
Hirsch, C. R., Krahé, C., Whyte, J., Krzyzanowski, H., Meeten, F., Norton, S., & Mathews, A. (2021) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000660 · Cited by 57 · see citing works
Koster, E. H. W., & Bernstein, A. (2015) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2015.05.006 · Cited by 46 · see citing works
Bockstaele, B. V., van der Molen, M. J., van Nieuwenhuijzen, M., & Salemink, E. (2020) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2020.104811 · Cited by 45 · see citing works
Chen, C., Gong, L., Liu, X., Zhu, T., Zhou, W.-X., Kong, L., & Luo, J. (2021) · Redox Biology · doi:10.1016/j.redox.2021.102130 · Cited by 43 · see citing works
Capron, D. W., Norr, A. M., Allan, N. P., & Schmidt, N. B. (2016) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2016.11.003 · Cited by 43 · see citing works
Naim, R., Kivity, Y., Bar-Haim, Y., & Huppert, J. (2018) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2017.10.006 · Cited by 43 · see citing works
Qiao, E., Quesada, M. G., Antico, L., Bavelier, D., Vuilleumier, P. O., & Pichon, S. (2017) · PLoS ONE · doi:10.1371/journal.pone.0171375 · Cited by 44 · see citing works
A systematic review of the word sentence association paradigm (WSAP)
Gonsalves, M. A., Whittles, R. L., Weisberg, R. B., & Beard, C. (2019) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2019.04.003 · Cited by 41 · see citing works
Multi-session online interpretation bias training for anxiety in a community sample
Ji, J. L., Baee, S., Zhang, D., Calicho-Mamani, C., Meyer, M. J., Funk, D. H., Portnow, S., Barnes, L. E., & Teachman, B. A. (2021) · Behaviour Research and Therapy · doi:10.1016/j.brat.2021.103864 · Cited by 45 · see citing works
Strachan, L. P., Hyett, M. P., & McEvoy, P. M. (2020) · Current Psychiatry Reports · doi:10.1007/s11920-020-1139-4 · Cited by 40 · see citing works
Social determinants of mental health during a year of the COVID-19 pandemic
Minihan, S., Orben, A. C., Songco, A., Fox, E., Ladouceur, C. D., Mewton, L. R., Moulds, M. L., Pfeifer, J. H., van Harmelen, A., & Schweizer, S. (2022) · Development and Psychopathology · doi:10.1017/s0954579422000396 · Cited by 42 · see citing works
Reuland, M. M., & Teachman, B. A. (2014) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2014.09.011 · Cited by 39 · see citing works
Interpretation modification training reduces social anxiety in clinically anxious children
Klein, A. M., Rapee, R. M., Hudson, J. L., Schniering, C. A., Wuthrich, V. M., Kangas, M., Lyneham, H. J., Souren, P. M., & Rinck, M. (2015) · Behaviour Research and Therapy · doi:10.1016/j.brat.2015.10.006 · Cited by 38 · see citing works
Automatic processes and self-regulation of illness
Orbell, S., & Phillips, L. A. (2018) · Health Psychology Review · doi:10.1080/17437199.2018.1503559 · Cited by 41 · see citing works
Haller, S. P., Stoddard, J., Botz-Zapp, C. A., Clayton, M., MacGillivray, C., Perhamus, G. R., Stiles, K., Kircanski, K., Penton‐Voak, I. S., Bar‐Haim, Y., et al. (2021) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2021.05.022 · Cited by 38 · see citing works
Self-citationOtkhmezuri, B., Boffo, M., Siriaraya, P., Matsangidou, M., Wiers, R. W. H. J., Mackintosh, B., Ang, C. S., & Salemink, E. (2018) · JMIR Mental Health · doi:10.2196/11517 · Cited by 37 · see citing works
Everaert, J., & Koster, E. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816660-4.00009-x · Cited by 30 · see citing works
Grol, M., Schwenzfeier, A., Stricker, J., Booth, C., Temple-McCune, A., Derakshan, N., Hirsch, C. R., Becker, E. S., & Fox, E. (2018) · Behaviour Research and Therapy · doi:10.1016/j.brat.2018.01.005 · Cited by 38 · see citing works
Interpretation bias toward ambiguous information in burnout and depression
Bianchi, R., Laurent, É., Schonfeld, I. S., Verkuilen, J., & Berna, C. (2018) · Personality and Individual Differences · doi:10.1016/j.paid.2018.07.028 · Cited by 36 · see citing works
Spontaneous cognition in dysphoria: reduced positive bias in imagining the future
Ji, J. L., Holmes, E. A., MacLeod, C., & Murphy, F. C. (2018) · Psychological Research · doi:10.1007/s00426-018-1071-y · Cited by 36 · see citing works
An Attempt to Target Anxiety Sensitivity via Cognitive Bias Modification
Clerkin, E. M., Beard, C., Fisher, C. R., & Schofield, C. A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0114578 · Cited by 34 · see citing works
de Voogd, E. L., Wiers, R. W. H. J., de Jong, P. J., Zwitser, R. J., & Salemink, E. (2018) · PLoS ONE · doi:10.1371/journal.pone.0194274 · Cited by 34 · see citing works
Translating CBM-I Into Real-World Settings: Augmenting a CBT-Based Psychiatric Hospital Program
Beard, C., Rifkin, L. S., Silverman, A. L., & Björgvinsson, Þ. (2018) · Behavior Therapy · doi:10.1016/j.beth.2018.09.002 · Cited by 33 · see citing works
Internet-based interpretation bias modification for social anxiety: A pilot study
Brettschneider, M., Neumann, P., Berger, T., Renneberg, B., & Boettcher, J. (2015) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2015.04.008 · Cited by 32 · see citing works
Matheson, E. L., Wade, T. D., & Yiend, J. (2019) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2019.101482 · Cited by 32 · see citing works
Cognitive bias modification for depression
Koster, E. H. W., & Hoorelbeke, K. (2015) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2014.11.012 · Cited by 32 · see citing works
Rozenman, M. S., Vreeland, A., & Piacentini, J. C. (2016) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2016.11.004 · Cited by 32 · see citing works
Yeung, E. S., & Sharpe, L. (2019) · Cognitive Therapy and Research · doi:10.1007/s10608-019-10012-3 · Cited by 31 · see citing works
Cognitive bias modification of interpretation in children with social anxiety disorder
Orchard, F., Apetroaia, A., Clarke, K., & Creswell, C. (2017) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2016.10.012 · Cited by 32 · see citing works
Social rejection sensitivity and its role in adolescent emotional disorder symptomatology
Minihan, S., Kwok, C., & Schweizer, S. (2023) · Child and Adolescent Psychiatry and Mental Health · doi:10.1186/s13034-022-00555-x · Cited by 36 · see citing works
Clerkin, E. M., Magee, J. C., Wells, T. T., Beard, C., & Barnett, N. P. (2016) · Behaviour Research and Therapy · doi:10.1016/j.brat.2016.08.010 · Cited by 30 · see citing works
Body Image in Dyadic and Solitary Sexual Desire: The Role of Encoding Style and Distracting Thoughts
Dosch, A., Ghisletta, P., & der Linden, M. V. (2015) · The Journal of Sex Research · doi:10.1080/00224499.2015.1096321 · Cited by 30 · see citing works
Rozenman, M., Gonzalez, A., Logan, C., & Goger, P. (2020) · Depression and Anxiety · doi:10.1002/da.23018 · Cited by 24 · see citing works
Interpretation of ambiguity in depression
Everaert, J. (2021) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2021.01.003 · Cited by 30 · see citing works
Salemink, E., de Jong, S. R. C., Notebaert, L., MacLeod, C., & van Bockstaele, B. (2022) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2022.101727 · Cited by 25 · see citing works
Ren, Z., Zhao, Z., Yu, X., Zhang, L., & Li, X. (2021) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2021.100226 · Cited by 28 · see citing works
HabitWorks: Development of a CBM-I Smartphone App to Augment and Extend Acute Treatment
Beard, C., Ramadurai, R., McHugh, R. K., Pollak, J. P., & Björgvinsson, T. (2021) · Behavior Therapy · doi:10.1016/j.beth.2020.04.013 · Cited by 29 · see citing works
Is cognitive bias modification training truly beneficial for adolescents?
Chan, S., Lau, J., & Reynolds, S. (2015) · Journal of Child Psychology and Psychiatry and Allied Disciplines · doi:10.1111/jcpp.12368 · Cited by 29 · see citing works
Self-citationDaniel, K. E., Daros, A. R., Beltzer, M. L., Boukhechba, M., Barnes, L. E., & Teachman, B. A. (2020) · Cognitive Therapy and Research · doi:10.1007/s10608-020-10088-2 · Cited by 26 · see citing works
Navarro, P., Alonso, D., & Stathis, K. (2015) · Journal of the Optical Society of America A · doi:10.1364/josaa.33.000074 · Cited by 26 · see citing works
Dietel, F. A., Möbius, M., Steinbach, L., Dusend, C., Wilhelm, S., & Buhlmann, U. (2018) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2018.07.003 · Cited by 25 · see citing works
Dietel, F. A., Möllmann, A., Bürkner, P., Wilhelm, S., & Buhlmann, U. (2021) · Cognitive Therapy and Research · doi:10.1007/s10608-020-10180-7 · Cited by 27 · see citing works
Dietel, F. A., Zache, C., Bürkner, P., Schulte, J., Möbius, M., Bischof, A., Wilhelm, S., & Buhlmann, U. (2020) · International Journal of Eating Disorders · doi:10.1002/eat.23280 · Cited by 24 · see citing works
Leung, C. J., Fosuaah, A., Frerichs, J., Heslin, M., Kabir, T., Lee, T. M. C., McGuire, P., Meek, C., Mouchlianitis, E., Nath, A. S., et al. (2019) · BMC Psychiatry · doi:10.1186/s12888-019-2215-3 · Cited by 20 · see citing works
Using Neuroscience to Augment Behavioral Interventions for Depression
Vinograd, M., & Craske, M. G. (2020) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000241 · Cited by 22 · see citing works
Insomnia‐related interpretational bias is associated with pre‐sleep worry
Gerlach, F., Ehring, T. W., Werner, G. G., & Takano, K. (2019) · Journal of Sleep Research · doi:10.1111/jsr.12938 · Cited by 22 · see citing works
Practicing Emotionally Biased Retrieval Affects Mood and Establishes Biased Recall a Week Later
Vrijsen, J. N., Hertel, P. T., & Becker, E. S. (2016) · Cognitive Therapy and Research · doi:10.1007/s10608-016-9789-6 · Cited by 23 · see citing works
Fear of progression, imagery, interpretation bias, and their relationship with endometriosis pain
Todd, J., Pickup, B., & Coutts‐Bain, D. (2023) · Pain · doi:10.1097/j.pain.0000000000003003 · Cited by 23 · see citing works
Vos, L. M. W., Nieto, I., Amanvermez, Y., Smeets, T., & Everaert, J. (2025) · Clinical Psychology Review · doi:10.1016/j.cpr.2025.102552 · Cited by 22 · see citing works
Effects of interpretation bias modification on unregulated and regulated emotional reactivity
Bockstaele, B. V., Notebaert, L., Salemink, E., Clarke, P., MacLeod, C., Wiers, R. W. H. J., & Bögels, S. M. (2019) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2019.03.009 · Cited by 22 · see citing works
Training interpretation biases among individuals with body dysmorphic disorder symptoms.
Premo, J. E., Sarfan, L. D., & Clerkin, E. M. (2016) · Body image · doi:10.1016/j.bodyim.2015.11.004 · Cited by 20 · see citing works
Bockstaele, B. V., Clarke, P., Notebaert, L., MacLeod, C., & Salemink, E. (2020) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2020.101561 · Cited by 21 · see citing works
Rowlands, K., Wilson, E., Simic, M., Harrison, A., & Cardi, V. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.538527 · Cited by 21 · see citing works
Sharpe, L., Jones, E. B., Pradhan, P., Todd, J., & Colagiuri, B. (2022) · Pain · doi:10.1097/j.pain.0000000000002784 · Cited by 22 · see citing works
Steinman, S. A., & Teachman, B. (2014) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2014.12.004 · Cited by 23 · see citing works
Synthesis and environmental application of zirconium–chitosan/graphene oxide membrane
Zhang, J., Chen, N., Li, M., & Feng, C. (2017) · Journal of the Taiwan Institute of Chemical Engineers · doi:10.1016/j.jtice.2017.04.029 · Cited by 21 · see citing works
Möbius, M., Tendolkar, I., Lohner, V., Baltussen, M., & Becker, E. S. (2015) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2015.03.002 · Cited by 20 · see citing works
Efficacy of Interpretation Bias Modification in Patients With Chronic Pain
An, J., Wang, K.-S., Jung, Y., & Cho, S. (2019) · Journal of Pain · doi:10.1016/j.jpain.2019.10.005 · Cited by 20 · see citing works
Clerkin, E. M., Magee, J. C., & Parsons, E. M. (2014) · Journal of Obsessive-Compulsive and Related Disorders · doi:10.1016/j.jocrd.2014.07.002 · Cited by 19 · see citing works
A randomised controlled trial of computerised interpretation bias modification for health anxiety
Antognelli, S. L., Sharrock, M. J., & Newby, J. M. (2019) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2019.101518 · Cited by 19 · see citing works
Prior, K., Salemink, E., Wiers, R. W., Teachman, B. A., Piggott, M., Newton, N. C., Teesson, M., Baillie, A. J., Campbell, S., & Stapinski, L. A. (2020) · Alcoholism: Clinical and Experimental Research · doi:10.1111/acer.14452 · Cited by 18 · see citing works
The Effect of Confidence on Dropout Rate and Outcomes in Online Cognitive Bias Modification
Hohensee, N., Meyer, M. J., & Teachman, B. A. (2020) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-020-00129-8 · Cited by 18 · see citing works
Hoge, E. A., Reese, H. E., Oliva, I. A., Gabriel, C. D., Guidos, B. M., Bui, É., Simon, N. M., & Dutton, M. A. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00082 · Cited by 18 · see citing works
Perfectly imperfect: The use of cognitive bias modification to reduce perfectionism
Dodd, D. R., Parsons, E. M., Clerkin, E. M., Forrest, L. N., Velkoff, E. A., Kunstman, J. W., & Smith, A. R. (2019) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2019.04.002 · Cited by 17 · see citing works
Rogers, J., & Sicouri, G. (2022) · Behavior Therapy · doi:10.1016/j.beth.2022.04.006 · Cited by 16 · see citing works
Ciesinski, N. K., Himelein-Wachowiak, M., Krick, L. C., Sorgi, K. M., Cheung, J. C. Y., & McCloskey, M. S. (2023) · Behaviour Research and Therapy · doi:10.1016/j.brat.2023.104344 · Cited by 17 · see citing works
Suddell, S. F., Müller-Glodde, M., Lumsden, J., Looi, C. Y., Granger, K. T., Barnett, J. H., Robinson, O. J., Munafo, M. R., & Penton‐Voak, I. S. (2021) · Psychological Medicine · doi:10.1017/s0033291721002014 · Cited by 16 · see citing works
Cognitive bias modification to prevent depression (COPE): results of a randomised controlled trial
Basanovic, J., Grafton, B., Ford, A., Hirani, V., Glance, D., MacLeod, C., & Almeida, O. (2019) · Psychological Medicine · doi:10.1017/s0033291719002599 · Cited by 15 · see citing works
Threat and benign interpretation bias might not be a unidimensional construct
Steinman, S. A., Portnow, S., Billingsley, A. L., Zhang, D., & Teachman, B. A. (2019) · Cognition & Emotion · doi:10.1080/02699931.2019.1682973 · Cited by 17 · see citing works
Shani, R., Tal, S., Derakshan, N., Cohen, N., Enock, P. M., McNally, R. J., Mor, N., Daches, S., Williams, A. D., Yiend, J., et al. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.03.043 · Cited by 16 · see citing works
Birk, J. L., Cumella, R., Veneros, D. L., Jurado, A., Romero, E. K., Lazarov, A., & Kronish, I. M. (2020) · Health Psychology · doi:10.1037/hea0000853 · Cited by 15 · see citing works
Zeng, K., Cao, F., Wu, Y., Zhang, M., & Ding, X. (2023) · Current Psychology · doi:10.1007/s12144-023-04433-3 · Cited by 15 · see citing works
Sun, X.-R., Yang, R., Zhang, Q., Xiao, J., Li, C.-L., & Cui, L.-X. (2019) · Journal of Experimental Psychopathology · doi:10.1177/2043808719875274 · Cited by 15 · see citing works
Wolters, L. H., Hagen, A., de Beek, V. O., Dol, P., de Haan, E., & Salemink, E. (2021) · Journal of Obsessive-Compulsive and Related Disorders · doi:10.1016/j.jocrd.2021.100636 · Cited by 16 · see citing works
Nieto, I., & Vázquez, C. (2021) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2021.102459 · Cited by 14 · see citing works
Lau, J., & Pile, V. (2015) · Clinical Psychological Science · doi:10.1177/2167702614549596 · Cited by 22 · see citing works
Self-citationSteinman, S. A., Namaky, N., Toton, S. L., Meissel, E. E. E., John, A. T. S., Pham, N., Werntz, A., Valladares, T. L., Gorlin, E. I., Arbus, S., et al. (2020) · Cognitive Therapy and Research · doi:10.1007/s10608-020-10168-3 · Cited by 13 · see citing works
- Authors
- Menne-Lothmann, C., Viechtbauer, W., Höhn, P., Kasanova, Z., Haller, S. P., Drukker, M., van Os, J., Wichers, M., & Lau, J. Y. F.
- Affiliations
- Maastricht University (NL)
- University of Oxford (GB)
- King's College London (GB)
- ORCID
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-06-26
- Volume
- 9
- Issue
- 6
- Pages
- e100925
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4072710
- OpenAlex
- W2036630076
- Semantic Scholar
- 15404a3bbb3ea3729574533942385823a36d63c1
- Cited by
- 235
- References
- 75
- Citations by year
- 2026: 14 · 2025: 10 · 2024: 13 · 2023: 26 · 2022: 14 · 2021: 30 · 2020: 27 · 2019: 24 · 2018: 16 · 2017: 19 · 2016: 16 · 2015: 21 · 2014: 5
- FWCI
- 2.75
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Research Portal (King's College London) (submittedVersion, cc-by)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Funders
- Universiteit Maastricht
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Clinical Psychology › Psychological Treatments and Assessments
- Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
- Keywords
- cognitive bias modification for interpretation, interpretation bias, negative mood, emotional reactivity, imagery instructions, gender differences, emotional dysregulation
- MeSH terms
- Affect, Humans, Cognitive Behavioral Therapy, Outcome Assessment, Health Care
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-09.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-09.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review