{"title":"The immediate effect of discrimination on mental health: A meta-analytic review of the causal evidence.","authors":"Christine Emmer, Julia Dorn, Jutta Mata","doi":"10.1037/bul0000419","DOIUrl":null,"url":null,"abstract":"<p><p>This meta-analysis synthesizes experimental studies on the immediate effects of discrimination on mental health, exploring the effects of different paradigms and discrimination types on diverse facets of mental health. We analyzed data from a systematic literature search (73 studies; 12,097 participants; 245 effect sizes) for randomized controlled trials with manipulation of discrimination as a predictor and mental health as an outcome using a three-level random-effects model. Experimentally manipulated discrimination led to poorer mental health (<i>g</i> = -0.30), also after controlling for publication year, region, education level, and methodological quality. Moderator analyses revealed stronger effects for <i>pervasive (g</i> = -0.55) compared to single-event manipulations (<i>g</i> = -0.25) and a trend toward weaker effects for samples with nonmarginalized (<i>g</i> = -0.16) compared to marginalized identities (<i>g</i> = -0.34). Gender and age did not moderate the effect. Discrimination had the largest effects on externalizing (<i>g</i> = -0.66) and distress-related outcomes (<i>g</i> = -0.41); heterosexism (<i>g</i> = -0.66), racism (<i>g</i> = -0.32), and sexism (<i>g</i> = -0.30) had the largest effects on mental health. Convenience sampling compromised generalizability to subgroups and the general population, downgrading methodological quality for all included studies. When interpreting the findings, selective samples (mostly young female adults with higher education), often limited ecological validity, and ethical restrictions of lab-induced discrimination need to be considered. These constraints likely led to conservative estimates of the mental health effects of discrimination in this meta-analysis. Future research should investigate more diverse samples, further explain the heterogeneity of findings, and explore protective factors of the effects of discrimination on mental health. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":17,"journal":{"name":"ACS Infectious Diseases","volume":null,"pages":null},"PeriodicalIF":4.0000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Infectious Diseases","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1037/bul0000419","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/8 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 0
Abstract
This meta-analysis synthesizes experimental studies on the immediate effects of discrimination on mental health, exploring the effects of different paradigms and discrimination types on diverse facets of mental health. We analyzed data from a systematic literature search (73 studies; 12,097 participants; 245 effect sizes) for randomized controlled trials with manipulation of discrimination as a predictor and mental health as an outcome using a three-level random-effects model. Experimentally manipulated discrimination led to poorer mental health (g = -0.30), also after controlling for publication year, region, education level, and methodological quality. Moderator analyses revealed stronger effects for pervasive (g = -0.55) compared to single-event manipulations (g = -0.25) and a trend toward weaker effects for samples with nonmarginalized (g = -0.16) compared to marginalized identities (g = -0.34). Gender and age did not moderate the effect. Discrimination had the largest effects on externalizing (g = -0.66) and distress-related outcomes (g = -0.41); heterosexism (g = -0.66), racism (g = -0.32), and sexism (g = -0.30) had the largest effects on mental health. Convenience sampling compromised generalizability to subgroups and the general population, downgrading methodological quality for all included studies. When interpreting the findings, selective samples (mostly young female adults with higher education), often limited ecological validity, and ethical restrictions of lab-induced discrimination need to be considered. These constraints likely led to conservative estimates of the mental health effects of discrimination in this meta-analysis. Future research should investigate more diverse samples, further explain the heterogeneity of findings, and explore protective factors of the effects of discrimination on mental health. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
期刊介绍:
ACS Infectious Diseases will be the first journal to highlight chemistry and its role in this multidisciplinary and collaborative research area. The journal will cover a diverse array of topics including, but not limited to:
* Discovery and development of new antimicrobial agents — identified through target- or phenotypic-based approaches as well as compounds that induce synergy with antimicrobials.
* Characterization and validation of drug target or pathways — use of single target and genome-wide knockdown and knockouts, biochemical studies, structural biology, new technologies to facilitate characterization and prioritization of potential drug targets.
* Mechanism of drug resistance — fundamental research that advances our understanding of resistance; strategies to prevent resistance.
* Mechanisms of action — use of genetic, metabolomic, and activity- and affinity-based protein profiling to elucidate the mechanism of action of clinical and experimental antimicrobial agents.
* Host-pathogen interactions — tools for studying host-pathogen interactions, cellular biochemistry of hosts and pathogens, and molecular interactions of pathogens with host microbiota.
* Small molecule vaccine adjuvants for infectious disease.
* Viral and bacterial biochemistry and molecular biology.