Biases in affective forecasting and recall in individuals with depression and anxiety symptoms
- PMID: 22649114
- DOI: 10.1177/0146167212447242
Biases in affective forecasting and recall in individuals with depression and anxiety symptoms
Abstract
The authors used experience sampling to investigate biases in affective forecasting and recall in individuals with varying levels of depression and anxiety symptoms. Participants who were higher in depression symptoms demonstrated stronger (more pessimistic) negative mood prediction biases, marginally stronger negative mood recall biases, and weaker (less optimistic) positive mood prediction and recall biases. Participants who were higher in anxiety symptoms demonstrated stronger negative mood prediction biases, but positive mood prediction biases that were on par with those who were lower in anxiety. Anxiety symptoms were not associated with mood recall biases. Neither depression symptoms nor anxiety symptoms were associated with bias in event prediction. Their findings fit well with the tripartite model of depression and anxiety. Results are also consistent with the conceptualization of anxiety as a "forward-looking" disorder, and with theories that emphasize the importance of pessimism and general negative information processing in depressive functioning.
Similar articles
-
Biases in Short-Term Mood Prediction in Individuals with Depression and Anxiety Symptoms.Individ Differ Res. 2013;11(3):91-101. Individ Differ Res. 2013. PMID: 25339851 Free PMC article.
-
Affective Forecasting Bias: Liability or Protective Factor?J Cogn Psychother. 2018 Oct;32(4):263-271. doi: 10.1891/0889-8391.32.4.263. J Cogn Psychother. 2018. PMID: 32746406
-
Bias in beliefs about the self is associated with depressive but not anxious mood.Compr Psychiatry. 2017 Apr;74:180-188. doi: 10.1016/j.comppsych.2016.12.009. Epub 2017 Jan 21. Compr Psychiatry. 2017. PMID: 28208079
-
Affective forecasting and self-rated symptoms of depression, anxiety, and hypomania: evidence for a dysphoric forecasting bias.Cogn Emot. 2012;26(6):1098-106. doi: 10.1080/02699931.2011.631985. Epub 2012 Mar 7. Cogn Emot. 2012. PMID: 22397734 Free PMC article.
-
A meta-analytic review of mood-congruent implicit memory in depressed mood.Clin Psychol Rev. 2014 Jul;34(5):402-16. doi: 10.1016/j.cpr.2014.06.001. Epub 2014 Jun 16. Clin Psychol Rev. 2014. PMID: 24980699 Review.
Cited by
-
Socioeconomic inequality in depression and anxiety and its determinants in Iranian older adults.BMC Psychiatry. 2022 Dec 5;22(1):761. doi: 10.1186/s12888-022-04433-w. BMC Psychiatry. 2022. PMID: 36471352 Free PMC article.
-
Adherence to Established Treatment Guidelines Among Unguided Digital Interventions for Depression: Quality Evaluation of 28 Web-Based Programs and Mobile Apps.J Med Internet Res. 2020 Jul 13;22(7):e16136. doi: 10.2196/16136. J Med Internet Res. 2020. PMID: 32673221 Free PMC article.
-
Are Retrospective Assessments Means of People's Experiences?: Accounting for Interpersonal and Intrapersonal Variability when Comparing Retrospective Assessment Data to Ecological Momentary Assessment Data.J Pers Oriented Res. 2022 Dec 22;8(2):52-70. doi: 10.17505/jpor.2022.24855. eCollection 2022. J Pers Oriented Res. 2022. PMID: 36589927 Free PMC article.
-
Behavioral Activation through Virtual Reality for Depression: A Single Case Experimental Design with Multiple Baselines.J Clin Med. 2022 Feb 25;11(5):1262. doi: 10.3390/jcm11051262. J Clin Med. 2022. PMID: 35268353 Free PMC article.
-
Screening accuracy of a 14-day smartphone ambulatory assessment of depression symptoms and mood dynamics in a general population sample: Comparison with the PHQ-9 depression screening.PLoS One. 2021 Jan 6;16(1):e0244955. doi: 10.1371/journal.pone.0244955. eCollection 2021. PLoS One. 2021. PMID: 33406120 Free PMC article.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
