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Multilevel Modeling of Health Inequalities at the Intersection of Multiple Social Identities in Canada

Bibliographic Data

ID2144014
AuthorsCarla Ickert (0000-0002-1238-094X, University of Alberta, corresponding author), Ambikaipakan Senthilselvan (0000-0002-6631-1376, University of Alberta), Gian S Jhangri (0000-0001-8608-2104, University of Alberta)
Year2022
Volume63
Issue2
Pages214-246
Publication date2022-04-03
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueSociological Quarterly (JOURNAL)
Journal identifiersISSN: 0038-0253 • E-ISSN: 1533-8525
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00380253.2020.1868956
OpenAlexW3135209498
LanguageEN
References cited48

Health inequities in Canada are pervasive. Intersectional theory and novel quantitative methods can be used to understand health inequities. Drawing on a sample of adults from the 2015 and 2016 Canadian Community Health Survey, this study uses multilevel analysis individual heterogeneity and discriminatory accuracy (MAIHDA) to examine the intersectional effect of race, sex, income and immigration status on perceived health and perceived mental health. Small variance partition coefficients of the final models suggest that most of the variance across social strata is explained by the main effects for the four variables. Intersectional interaction effects for each social strata are reported

Demographic economics · Economic growth · Economics · Geography · Health care · Health equity · Immigration · Inequality · Intersection (aeronautics) · Intersectionality · Mental health · Multilevel model · Race (biology) · Sample (material) · Social determinants of health · Sociology · Statistics · Variance (accounting) · Employment and Welfare Studies · Food Security and Health in Diverse Populations · Gender Studies · Health disparities and outcomes · Mathematics · Psychology

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Highly citedNo

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