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Review
. 2020 Dec:82:101934.
doi: 10.1016/j.cpr.2020.101934. Epub 2020 Oct 20.

Self-reported cognitive biases in depression: A meta-analysis

Inés Nieto  1 , Elena Robles  1 , Carmelo Vazquez  2
Affiliations
Review

Self-reported cognitive biases in depression: A meta-analysis

Inés Nieto et al. Clin Psychol Rev. 2020 Dec.

Abstract

Despite the influence of Beck's cognitive models of depression, the presence and magnitude of the specific proposed cognitive biases have not been systematically investigated. After a systematic search in PsycInfo and PubMED, studies reporting self-reported outcomes on cognitive biases and depressive symptoms in depressed and/or healthy groups were included. From a total of 4840 records, two different meta-analyses were conducted. 23 studies on 4865 participants provided data about catastrophising and depression (g = 0.95, 95% CI [0.64; 1.26]) and 40 studies on 4678 participants provided data about interpretation bias in depression (g = 0.78, 95% CI [0.43; 1.13]). Moderation analyses showed that the relationship between catastrophising and depression was higher in studies with more women, when the corresponding author was from a Western country, and when the instrument to measure depression was the DSM criteria, the SCL-90, the BDI, or the DASS. The relationship between interpretation bias and depressive symptoms was significant only in studies comparing depressed and healthy groups, and when using specific instruments to measure symptoms (DSM/RDC criteria plus a scale cut-off score) and cognitive bias (CDQ/CBQ, SCT, AST-D, other). Some limitations are acknowledged, but risk of publication bias was found to be low, and these results support the utility of some self-reported measures of cognitive biases in depression.

Keywords: Catastrophizing; Cognitive bias; Cognitive model; Depression; Interpretation bias.

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