Overgeneral and specific autobiographical memory predict the course of depression: an updated meta-analysis

Hallford, David, Rusanov, D., Yeow, J. J. E. and Barry, T. J. 2021, Overgeneral and specific autobiographical memory predict the course of depression: an updated meta-analysis, Psychological medicine, vol. 51, no. 6, pp. 909-926, doi: 10.1017/s0033291721001343.

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Title Overgeneral and specific autobiographical memory predict the course of depression: an updated meta-analysis
Author(s) Hallford, DavidORCID iD for Hallford, David orcid.org/0000-0003-1093-8345
Rusanov, D.
Yeow, J. J. E.
Barry, T. J.
Journal name Psychological medicine
Volume number 51
Issue number 6
Start page 909
End page 926
Total pages 18
Publisher Cambridge University Press
Place of publication Cambridge, Eng.
Publication date 2021-04
ISSN 0033-2917
1469-8978
Keyword(s) Social Sciences
Science & Technology
Life Sciences & Biomedicine
Psychology, Clinical
Psychiatry
Psychology
Autobiographical memory specificity
course of depression
depression
meta-analysis
overgeneral memory
COGNITIVE VULNERABILITY
TRAINING MEST
SYMPTOMS
DISORDER
FUTURE
PSYCHOPATHOLOGY
RUMINATION
THERAPY
Summary Impairments in retrieving event-level, specific autobiographical memories, termed overgeneral memory (OGM), are recognised as a feature of clinical depression. A previous meta-analytic review assessing how OGM predicts the course of subsequent depressive symptoms showed small effects for correlations and regression analyses when baseline depressive symptoms were controlled for. We aimed to update this study and examine whether their findings replicate given the decade of research that has been published since. A systematic literature review using the same eligibility criteria as the previous meta-analysis led to a doubling of eligible studies (32 v. 15). The results provided more precise estimates of effect sizes, and largely support the finding that OGM predicts the course of depressive symptoms. The effects were generally small, but significantly larger among clinical samples, compared to studies with non-clinical samples. There was some evidence that higher age was associated with stronger effects, and longer follow-up was associated with weaker effects. The findings on other moderating variables that were analysed were mixed. Continued research into this modifiable cognitive process may help to provide an avenue to better understand and treat highly prevalent and impactful depressive disorders.
Language eng
DOI 10.1017/s0033291721001343
Indigenous content off
Field of Research 1109 Neurosciences
1117 Public Health and Health Services
1701 Psychology
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30150287

Document type: Journal Article
Collections: Faculty of Health
School of Psychology
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