The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.
Moderation and mediation of the effect of attention training in social anxiety disorder
Open accessAbstract
UNLABELLED: While attention modification programs (AMP) have shown promise as laboratory-based treatments for social anxiety disorder, trials of internet-delivered AMP have not yielded significant differences between active and control conditions. To address these inconsistencies, we examined the moderational and mediational role of attention bias in the efficacy of attention training. We compared data reported by Carlbring et al. (2012) to an identical AMP condition, with the exception that participants were instructed to activate social anxiety fears prior to each attention training session (AMP + FACT; n = 39). We also compared all attention training groups to an internet-delivered cognitive-behavioral therapy (iCBT) condition (n = 40). Participants in the AMP + FACT group experienced greater reductions in social anxiety symptoms than both active (n = 40) and control (n = 39) groups reported by Carlbring et al., and did not differ in symptom reductions from the iCBT group. Higher attention bias predicted greater symptom reductions for participants who completed AMP, but not for the control group. Moreover, change in attention bias mediated the relationship between AMP group (active condition reported by Carlbring et al. versus AMP + FACT) and change in social anxiety symptoms. These results suggest the importance of interpreting findings related to symptom change in attention training studies in the context of bias effects. TRIAL REGISTRATION: ISRCTN01715124.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“This implies that a change in attentional bias is the hypothesized mediating process, and some studies indeed found such a mediational role of attentional bias (Dennis & O'Toole, 2014;Kuckertz et al., 2014;Wells & Beevers, 2010).”
From Online attentional bias modification training targeting anxiety and depression in unselected adolescents: short- and long-term effects of a randomized controlled trial (2016) · cites this paper as Kuckertz et al., 2014
In the citing paper
“As previous research has shown that baseline attentional bias moderated training effects (e.g., Boettcher et al., 2013;Kuckertz et al., 2014)”
From Online attentional bias modification training targeting anxiety and depression in unselected adolescents: short- and long-term effects of a randomized controlled trial (2016) · cites this paper as Kuckertz et al., 2014
In the citing paper
“The absence of (social) stress with online training at home compared to lab studies might explain recent null findings (Boettcher, Berger, & Renneberg, 2012;Boettcher et al., 2013;Kuckertz et al., 2014).”
From Online attentional bias modification training targeting anxiety and depression in unselected adolescents: short- and long-term effects of a randomized controlled trial (2016) · cites this paper as Kuckertz et al., 2014
In the citing paper
“in one Internetbased ABMT study, Kuckertz et al. [34] found that participants instructed to activate their social anxiety fears prior to each ABMT session demonstrated significantly greater anxiety reductions than participants receiving ABMT without these additional instructions.”
Citations
Cites
Hamilton, M. (1960) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.23.1.56 · Cited by 32,817
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.593 · Cited by 20,391
SPSS and SAS procedures for estimating indirect effects in simple mediation models
Preacher, K. J., & Hayes, A. F. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03206553 · Cited by 17,383
An inventory for measuring clinical anxiety: Psychometric properties.
Beck, A. T., Epstein, N., Brown, G., & Steer, R. A. (1988) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.56.6.893 · Cited by 14,407
Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models
Sobel, M. E. (1982) · Sociological Methodology · doi:10.2307/270723 · Cited by 12,810
Threat-related attentional bias in anxious and nonanxious individuals: a meta-analytic study.
Bar-Haim, Y., Lamy, D., Pergamin, L., Bakermans-Kranenburg, M. J., & van IJzendoorn, M. H. (2007) · Psychological Bulletin · doi:10.1037/0033-2909.133.1.1 · Cited by 3,721
Mattick, R. P., & Clarke, J. C. (1998) · Behaviour Research and Therapy · doi:10.1016/s0005-7967(97)10031-6 · Cited by 3,367
Attentional bias in emotional disorders
MacLeod, C., Mathews, A., & Tata, P. (1986) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.95.1.15 · Cited by 3,152
A cognitive-behavioral model of anxiety in social phobia
Rapee, R. M., & Heimberg, R. G. (1997) · Behaviour Research and Therapy · doi:10.1016/s0005-7967(97)00022-3 · Cited by 2,987
A cognitive model of social phobia
Adrian Wells, A. (1995) · Research Explorer (The University of Manchester) · Cited by 2,701
Cited by
Sorted by citations
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
The attentional bias modification approach to anxiety intervention
MacLeod, C., & Clarke, P. J. F. (2015) · Clinical Psychological Science · doi:10.1177/2167702614560749 · Cited by 315
Attention bias modification for social anxiety: A systematic review and meta-analysis
Heeren, A., Mogoașe, C., Philippot, P., & McNally, R. J. (2015) · Clinical Psychology Review · doi:10.1016/j.cpr.2015.06.001 · Cited by 312
Mogg, K., Waters, A. M., & Bradley, B. P. (2017) · Clinical Psychological Science · doi:10.1177/2167702617696359 · Cited by 215
Linetzky, M., Pergamin-Hight, L., Pine, D. S., & Bar-Haim, Y. (2015) · Depression and Anxiety · doi:10.1002/da.22344 · Cited by 185
Metadata
- Authors
- Kuckertz, J. M., Gildebrant, E., Liliequist, B., Karlström, P., Väppling, C., Bodlund, O., Stenlund, T., Hofmann, S. G., Andersson, G., Amir, N., & Carlbring, P.
- Affiliations
- San Diego State University (US)
- Umeå University (SE)
- Boston University (US)
- Linköping University (SE)
- Stockholm University (SE)
- Corresponding author
- Carlbring, Per
- ORCID
- Venue
- Behaviour Research and Therapy
- Publisher
- Elsevier BV
- Published
- 2014-02
- Volume
- 53
- Pages
- 30-40
- ISSN
- 0005-7967 (ISSN-L)
- OpenAlex
- W2109887133
- Semantic Scholar
- 8bf902d5e8e651df5fe28f911d5b1f29ed2bfdfc
- Cited by
- 117
- References
- 65
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 5 · 2023: 3 · 2022: 7 · 2021: 11 · 2020: 7 · 2019: 12 · 2018: 14 · 2017: 10 · 2016: 17 · 2015: 15 · 2014: 7
- FWCI
- 17.61
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Behaviour Research and Therapy (publishedVersion, cc-by)
- PubMed (publishedVersion)
- KTH Publication Database DiVA (KTH Royal Institute of Technology) (submittedVersion, other-oa)
- DiVA at Umeå University (Umeå University) (submittedVersion, other-oa)
- Funders
- Swedish Research Council for Health, Working Life and Welfare
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Clinical Psychology › Psychological Treatments and Assessments
- Keywords
- social anxiety disorder, attention training, attentional bias, internet-based cognitive behavioral therapy, mediation, moderation, symptom change
- MeSH terms
- Adult, Attention, Female, Humans, Male, Middle Aged, Phobic Disorders, Social Behavior, Cognitive Behavioral Therapy, Treatment Outcome, Internet, Young Adult
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.
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
