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Taking an intersectional approach to define latent classes of socioeconomic status, ethnicity and migration status for psychiatric epidemiological research

Epidemiology and psychiatric sciences, 2018-12, Vol.27 (6), p.589-600 [Peer Reviewed Journal]

Copyright © Cambridge University Press 2017 ;Cambridge University Press 2017 2017 Cambridge University Press ;ISSN: 2045-7960 ;EISSN: 2045-7979 ;DOI: 10.1017/S2045796017000142 ;PMID: 28390448

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Title:
Taking an intersectional approach to define latent classes of socioeconomic status, ethnicity and migration status for psychiatric epidemiological research
Author: Goodwin, L. ; Gazard, B. ; Aschan, L. ; MacCrimmon, S. ; Hotopf, M. ; Hatch, S. L.
Subjects: Adult ; Emigrants and Immigrants - psychology ; Emigrants and Immigrants - statistics & numerical data ; Epidemiologic Studies ; Ethics ; Ethnic Groups - psychology ; Ethnic Groups - statistics & numerical data ; Female ; Health disparities ; Humans ; Indicators ; Latent Class Analysis ; London - epidemiology ; Male ; Mental disorders ; Mental Disorders - epidemiology ; Mental Disorders - psychology ; Mental Health ; Minority & ethnic groups ; Original ; Original Articles ; Prevalence ; Social Class ; Social Environment ; Socioeconomic Factors ; Socioeconomics
Is Part Of: Epidemiology and psychiatric sciences, 2018-12, Vol.27 (6), p.589-600
Description: Inequalities in mental health are well documented using individual social statuses such as socioeconomic status (SES), ethnicity and migration status. However, few studies have taken an intersectional approach to investigate inequalities in mental health using latent class analysis (LCA). This study will examine the association between multiple indicator classes of social identity with common mental disorder (CMD). Data on CMD symptoms were assessed in a diverse inner London sample of 1052 participants in the second wave of the South East London Community Health study. LCA was used to define classes of social identity using multiple indicators of SES, ethnicity and migration status. Adjusted associations between CMD and both individual indicators and multiple indicators of social identity are presented. LCA identified six groups that were differentiated by varying levels of privilege and disadvantage based on multiple SES indicators. This intersectional approach highlighted nuanced differences in odds of CMD, with the economically inactive group with multiple levels of disadvantage most likely to have a CMD. Adding ethnicity and migration status further differentiated between groups. The migrant, economically inactive and White British, economically inactive classes both had increased odds of CMD. This is the first study to examine the intersections of SES, ethnicity and migration status with CMD using LCA. Results showed that both the migrant, economically inactive and the White British, economically inactive classes had a similarly high prevalence of CMD. Findings suggest that LCA is a useful methodology for investigating health inequalities by intersectional identities.
Publisher: Cambridge, UK: Cambridge University Press
Language: English;Italian
Identifier: ISSN: 2045-7960
EISSN: 2045-7979
DOI: 10.1017/S2045796017000142
PMID: 28390448
Source: ProQuest One Psychology
Journals@Ovid Open Access Journal Collection Rolling
MEDLINE
PubMed Central（OA）
ProQuest Central

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Taking an intersectional approach to define latent classes of socioeconomic status, ethnicity and migration status for psychiatric epidemiological research

Copyright © Cambridge University Press 2017 ;Cambridge University Press 2017 2017 Cambridge University Press ;ISSN: 2045-7960 ;EISSN: 2045-7979 ;DOI: 10.1017/S2045796017000142 ;PMID: 28390448

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