Nan D, Chong ESK, Dannuo W, Zewei L, Zexuan M, Shuyu D, Huang YT. Prevalence, risk, and protective factors of self-stigma for people living with depression: A systematic review and meta-analysis.
J Affect Disord 2023;
332:327-340. [PMID:
37060952 DOI:
10.1016/j.jad.2023.04.013]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 03/27/2023] [Accepted: 04/07/2023] [Indexed: 04/17/2023]
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.
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