Prevalence, risk, and protective factors of self-stigma for people living with depression: A systematic review and meta-analysis

J Affect Disord. 2023 Jul 1:332:327-340. doi: 10.1016/j.jad.2023.04.013. Epub 2023 Apr 13.

Abstract

Background: People living with depression are subjected to widespread stigmatization worldwide. Self-stigma may negatively affect patients' treatment, recovery, and psychological well-being. This review aims to summarize and synthesize the evidence on the prevalence, risk, and protective factors of depression self-stigma.

Methods: Four online databases, PubMed, PsycINFO, Web of Science, and Embase, were searched to identify eligible studies. Fifty-six studies involving a total of 11,549 samples were included in the final analysis. Four reviewers independently screened the literature, extracted data, and assessed the risk of bias in eligible studies. Pearson's r was chosen as the effect size metric of risk and protective factors.

Results: The results showed that the global prevalence of depression self-stigma was 29 %. Levels of self-stigma varied across regions, but this difference was not significant. Two demographic factors were identified: ethnicity (r = 0.10, p < 0.05) and having a partner/married (r = -0.22, p < 0.001). Five risk factors were identified: depression severity (r = 0.33, p < 0.01), public stigma (r = 0.44, p < 0.001), treatment stigma (r = 0.46, p < 0.001), perceived stigma (r = 0.37, p < 0.001), and enacted stigma (r = 0.71, p < 0.001). Five protective factors were identified: quality of life (r = -0.38, p < 0.001), social relationship (r = -0.26, p < 0.05), self-esteem (r = -0.46, p < 0.001), extroversion (r = -0.32, p < 0.001), and social functioning (r = -0.49, p < 0.001).

Limitations: Heterogeneity was observed in some of the results. Causality cannot be inferred due to the predominance of cross-sectional designs among the included literature.

Conclusions: Risk and protective factors of depression self-stigma exist across many dimensions. Future research should examine the inner mechanisms and effectiveness of interventions to reduce stigma.

Keywords: Depression; Prevalence; Protective factor; Risk factor; Self-stigma; meta-analysis.

Publication types

  • Meta-Analysis
  • Systematic Review
  • Review

MeSH terms

  • Cross-Sectional Studies
  • Depression* / therapy
  • Humans
  • Prevalence
  • Protective Factors
  • Quality of Life*
  • Social Stigma