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A comprehensive meta-analysis of interpretation biases in depression
Open accessAbstract
Interpretation biases have long been theorized to play a central role in depression. Yet, the strength of the empirical evidence for this bias remains a topic of debate. This meta-analysis aimed to estimate the overall effect size and to identify moderators relevant to theory and methodology. PsycINFO, Embase, Web of Science, Scopus, PubMed, and dissertation databases were searched. A random-effects meta-analysis was performed on 87 studies (N=9443). Results revealed a medium overall effect size (g=0.72, 95%-CI:[0.62;0.82]). Equivalent effect sizes were observed for patients diagnosed with clinical depression (g=0.60, 95%-CI:[0.37;0.75]), patients remitted from depression (g=0.59, 95%-CI:[0.33;0.86]), and undiagnosed individuals reporting elevated depressive symptoms (g=0.66, 95%-CI:[0.47;0.84]). The effect size was larger for self-referential stimuli (g=0.90, 95%-CI[0.78;1.01]), but was not modified by the presence (g=0.74, 95%-CI[0.59;0.90]) or absence (g=0.72, 95%-CI[0.58;0.85]) of mental imagery instructions. Similar effect sizes were observed for a negative interpretation bias (g=0.58, 95%-CI:[0.40;0.75]) and lack of a positive interpretation bias (g=0.60, 95%-CI:[0.36;0.85]). The effect size was only significant when interpretation bias was measured directly (g=0.88, 95%-CI[0.77;0.99]), but not when measured indirectly (g=0.04, 95%-CI[-0.14;0.22]). It is concluded that depression is associated with interpretation biases, but caution is necessary because methodological factors shape conclusions. Implications and recommendations for future research are outlined.
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“This linkage across negative beliefs, subsequent psychopathology, and examining and restructuring these beliefs to reduce depression is well established (e.g., Everaert et al., 2017; Diehle et al., 2014).”
From I've Seen Enough: Measuring the Toll of Content Moderation on Mental Health (2025) · cites this paper as Everaert et al., 2017
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Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
Diagnostic and Statistical Manual of Mental Disorders
(2012) · Springer eBooks · doi:10.1007/springerreference_121117 · Cited by 20,772
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009) · doi:10.1002/9780470743386 · Cited by 14,225
Duval, S., & Tweedie, R. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00455.x · Cited by 14,099
Wasserman, S. S., Hedges, L. V., & Olkin, I. (1988) · Journal of Educational Statistics · doi:10.2307/1164953 · Cited by 10,377
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2021) · doi:10.1002/9781119558378 · Cited by 9,799
Downs, S. H., & Black, N. (1998) · Journal of Epidemiology and Community Health · doi:10.1136/jech.52.6.377 · Cited by 8,252
Methods of Meta-Analysis: Correcting Error and Bias in Research Findings
Schmidt, F. L., & Hunter, J. E. (2015) · doi:10.4135/9781483398105 · Cited by 5,542
Bower, G. H. (1981) · American Psychologist · doi:10.1037/0003-066x.36.2.129 · Cited by 4,154
Interpretation of random effects meta-analyses
Riley, R. D., Higgins, J. P. T., & Deeks, J. J. (2011) · BMJ · doi:10.1136/bmj.d549 · Cited by 2,884
Research works printed but not linked: 1
- Dickson, 2015, Investigating the role of cognitive biases as a risk factor for depression (Dissertation Abstracts International)
Cited by
Sorted by citations
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Gross, J. J., Uusberg, H., & Uusberg, A. (2019) · World Psychiatry · doi:10.1002/wps.20618 · Cited by 277
Distorted Cognitive Processes in Major Depression: A Predictive Processing Perspective
Κube, T., Schwarting, R. K. W., Rozenkrantz, L., Glombiewski, J. A., & Rief, W. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.07.017 · Cited by 257
Dolcos, F., Katsumi, Y., Moore, M., Berggren, N., de Gelder, B., Derakshan, N., Hamm, A. O., Koster, E. H. W., Ladouceur, C. D., Okon‐Singer, H., et al. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.08.017 · Cited by 247
Self-citationBoemo, T., Nieto, I., Vazquez, C., & Sanchez-Lopez, A. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104747 · Cited by 191
Uusberg, A., Taxer, J. L., Yih, J., Uusberg, H., & Gross, J. J. (2019) · Emotion Review · doi:10.1177/1754073919862617 · Cited by 220
Everaert, J., Bronstein, M. V., Cannon, T. D., & Joormann, J. (2018) · Clinical Psychological Science · doi:10.1177/2167702617747968 · Cited by 192
Self-citationAssociation between negative cognitive bias and depression: A symptom-level approach.
Beevers, C. G., Mullarkey, M. C., Dainer‐Best, J., Stewart, R. A., Labrada, J., Allen, J. J. B., McGeary, J. E., & Shumake, J. (2019) · Journal of Abnormal Psychology · doi:10.1037/abn0000405 · Cited by 158
Early maladaptive schemas and depression in adulthood: A systematic review and meta‐analysis
Bishop, A., Younan, R., Low, J., & Pilkington, P. D. (2021) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.2630 · Cited by 157
When Beliefs Face Reality: An Integrative Review of Belief Updating in Mental Health and Illness
Κube, T., & Rozenkrantz, L. (2020) · Perspectives on Psychological Science · doi:10.1177/1745691620931496 · Cited by 165
The Cambridge Handbook of Personality Psychology
(2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822 · Cited by 148
Attentional bias in depression: understanding mechanisms to improve training and treatment
Mennen, A. C., Norman, K. A., & Turk‐Browne, N. B. (2019) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2019.07.036 · Cited by 123
“This latter negative interpretation bias tends to persist despite the revelation of new, positive information [13] and is more pronounced when self-referential prompts are used [14].”
Everaert, J., Bronstein, M. V., Castro, A. A., Cannon, T. D., & Joormann, J. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2019.103510 · Cited by 119
Self-citationMood-congruent memory revisited.
Faul, L., & LaBar, K. S. (2022) · Psychological Review · doi:10.1037/rev0000394 · Cited by 135
Hirsch, C. R., Krahé, C., Whyte, J., Loizou, S., Bridge, L., Norton, S., & Mathews, A. (2018) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000310 · Cited by 108
Specificity of Future Thinking in Depression: A Meta-Analysis
Gamble, B., Moreau, D., Tippett, L. J., & Addis, D. R. (2019) · Perspectives on Psychological Science · doi:10.1177/1745691619851784 · Cited by 98
“BG and DM assessed study quality(15) using the 18-item Checklist for Measuring Quality (Everaert et al., 2017) adapted by Downs and Black (1998) to exclude items related to interventions, making it suitable for the current meta-analysis.”
MethodVillalobos, D., Pacios, J., & Vázquez, C. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.628416 · Cited by 106
“, 1992), and interpretation (Everaert et al., 2017a) as well as in self-report questionnaires that assess biases, such as dichotomous thinking, catastrophizing, overgeneralizing, or magnification of the negative andminimization of the positive, in depressed individuals (Nieto et al.”
BackgroundInfluentialTemperament and brain networks of attention
Posner, M. I., & Rothbart, M. K. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0254 · Cited by 95
Self-reported cognitive biases in depression: A meta-analysis
Nieto, I., Robles, E., & Vázquez, C. (2020) · Clinical Psychology Review · doi:10.1016/j.cpr.2020.101934 · Cited by 93
A mechanistic account of serotonin’s impact on mood
Michely, J., Eldar, E., Martin, I. M., & Dolan, R. J. (2020) · Nature Communications · doi:10.1038/s41467-020-16090-2 · Cited by 72
Gruskin, D. C., Rosenberg, M. D., & Holmes, A. J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116217 · Cited by 86
Everaert, J., Vrijsen, J. N., Martin‐Willett, R., van de Kraats, L., & Joormann, J. (2022) · Psychological Bulletin · doi:10.1037/bul0000367 · Cited by 91
“This rating scale for nonrandomized study designs was recently adapted for use in metaanalytic research on cognitive processes in depression (Everaert et al., 2017; Gamble et al., 2019).”
MethodSelf-citationRuhe, H. G., Mocking, R. J. T., Figueroa, C. A., Seeverens, P. W. J., Ikani, N., Tyborowska, A., Browning, M., Vrijsen, J. N., Harmer, C. J., & Schene, A. H. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00145 · Cited by 66
“Other biases in remitted patients concern the negative interpretation of neutral or ambiguous information (46), preferential recall of negative material (46–50), a reduced error monitoring due to prolonged emotional disturbance after selfmonitored errors, decreased learning and a ruminative thinking style when confron…”
BackgroundΚube, T., Glombiewski, J. A., Gall, J., Touissant, L., Gärtner, T., & Rief, W. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.03.027 · Cited by 67
Haynes, A., Kersbergen, I., Sutin, A. R., Daly, M., & Robinson, E. (2019) · Clinical Psychology Review · doi:10.1016/j.cpr.2019.101753 · Cited by 68
Gao, W., Yan, X., & Yuan, J. (2022) · Psychoradiology · doi:10.1093/psyrad/kkac014 · Cited by 63
“For example, prior studies of adult and adolescent depression have found negative biases in interpreting both social and nonsocial information (Everaert, Podina, et al. , 2017; Orchard et al. , 2016).”
BackgroundLow self-esteem: a refined cognitive behavioural model
Rimes, K., Smith, P., & Bridge, L. (2023) · Behavioural and Cognitive Psychotherapy · doi:10.1017/s1352465823000048 · Cited by 17
“It is proposed that core and conditional beliefs relating to one ’ s value result in negative cognitive biases in attention, memory and interpretation (Everaert et al ., 2017; Maheshwari et al ., 2021; Rostosky et al ., 2021).”
BackgroundNeuroticism and Interpretive Bias as Risk Factors for Anxiety and Depression
Vinograd, M., Williams, A. L., Sun, M. M. C., Bobova, L., Wolitzky-Taylor, K. B., Vrshek‐Schallhorn, S., Mineka, S., Zinbarg, R. E., & Craske, M. G. (2020) · Clinical Psychological Science · doi:10.1177/2167702620906145 · Cited by 67
“For example, it has been suggested that the use of stimuli that do not reflect depression-relevant concerns may lead to null findings (Everaert et al., 2017).”
BackgroundDepression as a determinant of frailty in late life
Borges, M. K., Aprahamian, I., Romanini, C. V., de Oliveira, F. M. R. L., Mingardi, S. V. B., Lima, N. A., Cecato, J. F., Petrella, M., & Voshaar, R. C. O. (2020) · Aging & Mental Health · doi:10.1080/13607863.2020.1857689 · Cited by 55
Optimism and pasture access in dairy cows
Crump, A., Jenkins, K., Bethell, E., Ferris, C. P., Kabboush, H., Weller, J. E., & Arnott, G. (2021) · Scientific Reports · doi:10.1038/s41598-021-84371-x · Cited by 60
Environmental complexity positively impacts affective states of broiler chickens
Anderson, M. G., Campbell, A. M., Crump, A., Arnott, G., & Jacobs, L. (2021) · Scientific Reports · doi:10.1038/s41598-021-95280-4 · Cited by 54
Future expectations in clinical depression: Biased or realistic?
Zetsche, U., Bürkner, P., & Renneberg, B. (2019) · Journal of Abnormal Psychology · doi:10.1037/abn0000452 · Cited by 52
MacNamara, A., Jackson, T. B., Fitzgerald, J. M., Hajcak, G., & Phan, K. L. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.04.005 · Cited by 52
Deng, W., Everaert, J., Creighton, M., Bronstein, M. V., Cannon, T. D., & Joormann, J. (2022) · Personality and Individual Differences · doi:10.1016/j.paid.2022.111548 · Cited by 50
Self-citationDykan, C. D. G., Lazarov, A., & Bar‐Haim, Y. (2020) · Evidence-Based Mental Health · doi:10.1136/ebmental-2020-300216 · Cited by 45
Krahé, C., Whyte, J., Bridge, L., Loizou, S., & Hirsch, C. R. (2019) · Clinical Psychological Science · doi:10.1177/2167702619851808 · Cited by 46
Self-Referential Processing and Depression: A Systematic Review and Meta-Analysis
Collins, A. C., & Winer, E. S. (2023) · Clinical Psychological Science · doi:10.1177/21677026231190390 · Cited by 45
“In addition, we searched the reference lists of relevant review articles and meta-analyses to verify that all relevant articles to our research questions were included (Everaert et al., 2017; Matt et al., 1992; Symons & Johnson, 1997; Wisco, 2009).”
InfluentialMapping Dynamic Interactions Among Cognitive Biases in Depression
Everaert, J., Bernstein, A., Joormann, J., & Koster, E. H. W. (2020) · Emotion Review · doi:10.1177/1754073919892069 · Cited by 45
Self-citationWürtz, F., Zahler, L., Blackwell, S. E., Margraf, J., Bagheri, M., & Woud, M. L. (2022) · Clinical Psychology Review · doi:10.1016/j.cpr.2022.102133 · Cited by 52
Sfärlea, A., Löchner, J., Neumüller, J., Thomsen, L. A., Starman‐Wöhrle, K., Salemink, E., Schulte‐Körne, G., & Platt, B. (2019) · Journal of Abnormal Psychology · doi:10.1037/abn0000401 · Cited by 49
Κube, T., Kirchner, L., Rief, W., Gärtner, T., & Glombiewski, J. A. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2019.103509 · Cited by 44
Ahern, E., Bockting, C., & Semkovska, M. (2019) · Clinical Psychology in Europe · doi:10.32872/cpe.v1i3.34396 · Cited by 46
Crump, A., Bethell, E., Earley, R. L., Lee, V. E., Mendl, M., Oldham, L., Turner, S. P., & Arnott, G. (2020) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2020.1715 · Cited by 43
Dai, Y., Ya, Z., Hu, K., Chen, J., Lu, S., Li, Q., & Xiao, J. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.04.065 · Cited by 43
Perlis, R., Ognyanova, K., Santillana, M., Lin, J., Druckman, J., Lazer, D., Green, J., Simonson, M. D., Baum, M., & Volpe, J. D. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.45697 · Cited by 41
Characteristics of episodic future thinking in anxiety: A systematic review and meta-analysis
Du, J. Y., Hallford, D. J., & Grant, J. B. (2022) · Clinical Psychology Review · doi:10.1016/j.cpr.2022.102162 · Cited by 43
Impaired left amygdala resting state functional connectivity in subthreshold depression individuals
Peng, X., Lau, W. K., Wang, C., Ning, L., & Zhang, R. (2020) · Scientific Reports · doi:10.1038/s41598-020-74166-x · Cited by 39
The combined cognitive bias hypothesis in anxiety: A systematic review and meta-analysis
Leung, C. J., Yiend, J., Trotta, A., & Lee, T. M. C. (2022) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2022.102575 · Cited by 48
Everaert, J., Bronstein, M. V., Cannon, T. D., Klonsky, E. D., & Joormann, J. (2021) · Clinical Psychological Science · doi:10.1177/2167702621993867 · Cited by 42
Self-citationKirchner, L., Schummer, S. E., Krug, H., Κube, T., & Rief, W. (2022) · Psychology and Psychotherapy Theory Research and Practice · doi:10.1111/papt.12383 · Cited by 40
Everaert, J., & Koster, E. H. W. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816660-4.00009-x · Cited by 42
Self-citationInterpretation 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
Willinger, D., Karipidis, I. I., Häberling, I. S., Berger, G. E., Walitza, S., & Brem, S. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-01955-5 · Cited by 36
“Our results provide a novel mechanistic explanation for the negatively biased evaluation process of emotion in adolescent [57] and adult MDD [11, 58].”
Cognitive Bias Under Adverse and Rewarding Conditions: A Systematic Review of Rodent Studies
Nguyen, H. A. T., Guo, C. C.-G., & Homberg, J. R. (2020) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2020.00014 · Cited by 34
“In support, individuals suffering from major depression show a negative interpretation bias (Everaert et al., 2017), for instance when they have to form a sentence from a set of words and write it down.”
BackgroundVoshaar, R. C. O., Dimitriadis, M., VANDENBRINK, R., Aprahamian, I., Borges, M. K., Marijnissen, R. M., Hoogendijk, E. O., Rhebergen, D., & Jeuring, H. W. (2021) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5588 · Cited by 34
Ben‐Eliyahu, A., & Zeidner, M. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.041 · Cited by 33
Suffel, A., Nagels, A., Steines, M., Kircher, T. T. J., & Straube, B. (2020) · Human Brain Mapping · doi:10.1002/hbm.25027 · Cited by 30
Schudy, A., Żurek, K., Wiśniewska, M., Piejka, A., Gawęda, Ł., & Okruszek, Ł. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.589973 · Cited by 32
“was recently documented with regard to depressive symptoms— both disadaptive (brooding) and adaptive (positive reappraisal) strategies were observed to mediate the effects of cognitive biases on depressive symptoms in 119 healthy participants (30).”
BackgroundInterpretation bias in health anxiety: a systematic review and meta-analysis
Du, X., Witthöft, M., Zhang, T., Shi, C., & Ren, Z. (2023) · Psychological Medicine · doi:10.1017/s0033291722003427 · Cited by 30
“Finally, we tested potential moderators that are often included in meta-analyses, such as gender, age, culture, publication year, and journal impact factor (Chen et al., 2020; Everaert et al., 2017; Shi et al., 2022).”
MethodResultInfluentialPredictors of social anxiety among online dating users
Pitcho‐Prelorentzos, S., Heckel, C., & Ring, L. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106381 · Cited by 35
Cognitive Biases in Chronic Illness and Their Impact on Patients' Commitment
Savioni, L., & Triberti, S. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.579455 · Cited by 31
“Negative interpretation of information influenced by interpretation bias could promote a greater pessimism about the potential control of a disease and, therefore, lower the implementation of control behaviors which are considered ineffective (Miles et al., 2009; Everaert et al., 2017).”
BackgroundInterpretation of ambiguity in depression
Everaert, J. (2021) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2021.01.003 · Cited by 35
Self-citationSmrke, U., Mlakar, I., Lin, S. M., Musil, B., & Plohl, N. (2021) · JMIR Mental Health · doi:10.2196/30439 · Cited by 30
“Reporting and interpretation biases are even more pronounced for people suffering from symptoms of depression [20,21].”
BackgroundMethodDeYoung, C. G., & Blain, S. D. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.026 · Cited by 34
Blanco, I., Boemo, T., & Sánchez-López, Á. (2021) · JMIR Mental Health · doi:10.2196/30961 · Cited by 27
“Furthermore, a biased tendency to interpret ambiguous scenarios in a negative manner has been consistently observed in experimental studies in both depressed [13] and anxious individuals [14].”
ResultStudying abroad and earnings: A meta‐analysis
Pietro, G. D., European Commission, & IZA (2021) · Journal of Economic Surveys · doi:10.1111/joes.12472 · Cited by 33
Brolsma, S. C. A., Vrijsen, J. N., Vassena, E., Kandroodi, M. R., Bergman, M. A., van Eijndhoven, P., Collard, R. M., den Ouden, H. E. M., Schene, A. H., & Cools, R. (2020) · Psychological Medicine · doi:10.1017/s0033291720001956 · Cited by 29
“We acknowledge that the present lack of a negative bias might not generalize to other tasks such as those measuring emotional processing (Everaert et al., 2017; Gaddy & Ingram, 2014; LeMoult & Gotlib, 2019; Mathews & MacLeod, 2005).”
Young, H. A., Davies, J., Freegard, G., & Benton, D. (2021) · Behavior Therapy · doi:10.1016/j.beth.2021.02.010 · Cited by 26
Depressive symptoms in youth with ADHD: the role of impairments in cognitive emotion regulation
Mayer, J. S., Brandt, G. A., Medda, J. E., Basten, U., Grimm, O., Reif, A., & Freitag, C. M. (2022) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-022-01382-z · Cited by 36
“Future studies could aim at implementing task variants with higher ecological validity by including self-referential information or social reinforcers, which are of particular importance to patients with depression [36, 113].”
BackgroundResultAttention bias modification through transcranial direct current stimulation (tDCS): A review
Nejati, V., Heyrani, R., & Nitsche, M. A. (2022) · Neurophysiologie Clinique · doi:10.1016/j.neucli.2022.09.002 · Cited by 27
Distorted learning from local metacognition supports transdiagnostic underconfidence
Katyal, S., Huys, Q. J. M., Dolan, R. J., & Fleming, S. M. (2025) · Nature Communications · doi:10.1038/s41467-025-57040-0 · Cited by 42
“Individuals scoring high in anxious-depression symptoms and patientsdiagnosedwithclinicaldepressionhavebeenshowntoexhibit greater sensitivity to negative compared to positive information, particularly when this information is self-relevant 20 – 22 , 29 .”
Chick, C. F. (2019) · Psychiatry Research · doi:10.1016/j.psychres.2019.01.048 · Cited by 25
“I Am a Total…Loser” – The Role of Interpretation Biases in Youth Depression
Sfärlea, A., Buhl, C., Löchner, J., Neumüller, J., Thomsen, L. A., Starman‐Wöhrle, K., Salemink, E., Schulte‐Körne, G., & Platt, B. (2020) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-020-00670-3 · Cited by 26
Allison, G. O., Benau, E. M., Asbaghi, S., Pagliacco, D., Stewart, J. G., & Auerbach, R. P. (2021) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.04.001 · Cited by 24
Impact of imagery-enhanced interpretation training on offline and online interpretations in worry
Feng, Y.-C., Krahé, C., Meeten, F., Sumich, A. L., Mok, C. L. M., & Hirsch, C. R. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2019.103497 · Cited by 27
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 23
“Negative interpretive bias is central to Beck’s cognitive model of depression,(153) and a meta-analysis found a medium overall effect size of interpretive bias across samples of individuals with diagnoses of depression, remitted depression, and elevated depressive symptomatology.(154) Cognitive-bias”
BackgroundCan animals develop depression? An overview and assessment of ‘depression-like’ states
MacLellan, A., Fureix, C., Polanco, A., & Mason, G. J. (2021) · Behaviour · doi:10.1163/1568539x-bja10132 · Cited by 27
Self-referential Processing in Remitted Depression: An Event-Related Potential Study
Allison, G. O., Kamath, R. A., Carrillo, V. L., Alqueza, K. L., Pagliaccio, D., Slavich, G. M., Shankman, S., & Auerbach, R. (2021) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.12.005 · Cited by 19
Reisenzein, R., Hildebrandt, A., & Weber, H. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.009 · Cited by 26
Negative interpretation bias connects to real-world daily affect: A multistudy approach.
Puccetti, N. A., Villano, W. J., Stamatis, C. A., Hall, K. A. A., Torrez, V. F., Neta, M., Timpano, K. R., & Heller, A. S. (2023) · Journal of Experimental Psychology General · doi:10.1037/xge0001351 · Cited by 22
“…NA and various negative interpretation bias tasks in largely independent samples is in line with previous research suggesting that the various negative interpretation bias tasks tap a common, latent, negative evaluation process (Everaert et al., 2017; Hirsch et al., 2016; O ’ Connor et al., 2021).”
BackgroundResultInfluentialVos, L. M. W., Nieto, I., Amanvermez, Y., Smeets, T., & Everaert, J. (2025) · Clinical Psychology Review · doi:10.1016/j.cpr.2025.102552 · Cited by 33
Self-citationBibi, A., Margraf, J., & Blackwell, S. E. (2020) · Journal of Experimental Psychopathology · doi:10.1177/2043808720918030 · Cited by 26
“One CBM paradigm developed in the context of depression aims to target the deficit in positive mental imagery (Holmes et al., 2016) and negative interpretation bias (Butler & Mathews, 1983; Everaert et al., 2017) that characterize the disorder.”
BackgroundMecha, P., Rodriguez‐Morales, M., & Sánchez-López, Á. (2024) · Stress and Health · doi:10.1002/smi.3439 · Cited by 27
Allen, K. B., Woody, M. L., Rosen, D. K., Price, R. B., Amole, M. C., & Silk, J. S. (2019) · Cognitive Therapy and Research · doi:10.1007/s10608-019-10071-6 · Cited by 21
Amir, I., & Bernstein, A. (2022) · Psychological Inquiry · doi:10.1080/1047840x.2022.2141000 · Cited by 25
Blackwell, S. E., Schönbrodt, F. D., Woud, M. L., Wannemüller, A., Bektas, B., Rodrigues, M. B., Hirdes, J., Stumpp, M. T., & Margraf, J. (2022) · Psychological Medicine · doi:10.1017/s0033291722003294 · Cited by 23
Animal affect, welfare and the Bayesian brain
Lecorps, B., & Weary, D. M. (2024) · Animal Welfare · doi:10.1017/awf.2024.44 · Cited by 20
“Such effects are illustrated in depressed patients (Everaert et al. 2017) and people with anxiety disorders (Kube & Rozenkrantz 2021) who sometimes struggle to update established negative beliefs.”
BackgroundBergin, A. J., & Jimmieson, N. L. (2020) · Anxiety Stress & Coping · doi:10.1080/10615806.2020.1716975 · Cited by 20
“It also could be because praise and recognition from an emotionally unskilled supervisor is misinterpreted due to a range of negative cognitive biases that afflict distressed employees (Everaert et al., 2017), rendering it of no use.”
BackgroundPradhan, P., Sharpe, L., Butow, P. N., & Russell, H. (2021) · Psycho-Oncology · doi:10.1002/pon.5748 · Cited by 19
“Interpretation biases have been found to be associated with a range of emotional disorders, such as social anxiety,(32,33) generalized anxiety disorder,(34) and depression.(35) Indeed, the moderate to large effect size of the correlation observed here is at least comparable to the effect size observed in meta‐ analysi…”
ResultGiuntoli, L., Marchetti, I., Panzeri, A., Spoto, A., Vidotto, G., & Caudek, C. (2019) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2019.04.005 · Cited by 19
Burnout is associated with a depressive interpretation style
Bianchi, R., & Nogueira, D. D. S. (2019) · Stress and Health · doi:10.1002/smi.2897 · Cited by 19
An Exploratory Analysis of the Relation between Offensive Language and Mental Health
Bucur, A.-M., Zampieri, M., & Dinu, L. P. (2021) · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · doi:10.18653/v1/2021.findings-acl.315 · Cited by 21
“The fact that depressed individuals tend to use more self-deprecating content and less deprecation of others, as evidenced in our analysis, is a result that is in line with the broad spectrum of cognitive studies, which indicates that negative evaluation of the self is a main interpretation bias in depressed individua…”
BackgroundResultInfluentialYzer, M. C., Kinzer, H. T., & Malone, M. (2021) · Health Communication · doi:10.1080/10410236.2021.1917744 · Cited by 19
Collins, A. C., Lass, A. N. S., & Winer, E. S. (2023) · Current Psychology · doi:10.1007/s12144-023-04262-4 · Cited by 19
“Moreover, this may be due to negative interpretations when processing new information (Everaert et al., 2018, 2020; Everaert, Grahek, et al., 2017; Everaert et al., 2017).”
BackgroundKumpulainen, V., Copeland, A., Pulli, E. P., Silver, E. A., Kataja, E., Saukko, E., Merisaari, H., Lewis, J. D., Karlsson, L., Karlsson, H., et al. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.05.014 · Cited by 21
“Lastly, depressed mothers experience lower selfconfidence(20), draw more attention to negative information and are prone to negative misinterpretations(21) which can be reflected as learned adverse behavioural manners in the child.”
Parent‐child agreement on children's psychopathology and the impact of parental depression
Löchner, J., Hämmerle, S., Ghezih, S., Starman‐Wöhrle, K., Schulte‐Körne, G., & Platt, B. (2023) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1993 · Cited by 17
“This may be due to the cognitive biases for negative information known to characterize depression which appear to be stronger in currently versus remitted patients (Everaert et al., 2017).”
BackgroundHypoxia-Responsive Class III Peroxidases in Maize Roots: Soluble and Membrane-Bound Isoenzymes
Hofmann, A., Wienkoop, S., Harder, S., Bartlog, F., & Lüthje, S. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21228872 · Cited by 18
“A difference between RNA Seq and RT-qPCR was observed for smaller genes with fewer exons and lower expression [38].”
BackgroundRogers, J., & Sicouri, G. (2022) · Behavior Therapy · doi:10.1016/j.beth.2022.04.006 · Cited by 17
Salihu, D., Wong, E. M. L., Kwan, R. Y. C., Ho, G. W. K., Chutiyami, M., Surajo, K. S., Bello, U. M., Ibrahim, A. A., Ali, M. U., Wang, S., et al. (2022) · Psychiatry Research · doi:10.1016/j.psychres.2022.114700 · Cited by 21
Romero, N., & Sánchez-López, Á. (2023) · Behaviour Research and Therapy · doi:10.1016/j.brat.2023.104276 · Cited by 17
Positive social feedback alters emotional ratings and reward valuation of neutral faces
Young, K. S., Hasratian, A. M., Parsons, C. E., Zinbarg, R. E., Nusslock, R., Bookheimer, S. Y., & Craske, M. G. (2019) · Quarterly Journal of Experimental Psychology · doi:10.1177/1747021819890289 · Cited by 18
“Bias in information processing that favours negative over positive information has been proposed as a vulnerability and maintenance factor in depression and anxiety (Bistricky et al., 2011; Everaert et al., 2017; Gotlib & Joormann, 2010; Mathews & MacLeod, 2005; Mobini et al., 2013).”
Metadata
- Authors
- Everaert, J., Podina, I. R., & Koster, E. H. W.
- Affiliations
- Ghent University (BE)
- University of Bucharest (RO)
- Corresponding author
- Everaert, Jonas
- Venue
- Clinical Psychology Review
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 58
- Pages
- 33-48
- ISSN
- 0272-7358 (ISSN-L)
- OpenAlex
- W2756528888
- Cited by
- 378
- References
- 133
- Citations by year
- 2026: 59 · 2025: 35 · 2024: 41 · 2023: 49 · 2022: 42 · 2021: 34 · 2020: 79 · 2019: 28 · 2018: 10 · 2017: 1
- FWCI
- 5.10
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Clinical Psychology Review (publishedVersion, other-oa)
- PubMed (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, other-oa)
- Funders
- Yale University
- Universiteit Gent
- Universitatea din București
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Clinical Psychology › Psychological Treatments and Assessments
- Keywords
- interpretation bias, depression, cognitive biases, negative interpretation bias, mental imagery, depression remission, depressive symptoms
- MeSH terms
- Depression, Depressive Disorder, Humans, Thinking
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