Citation
Evans, Clare R. (2019). Reintegrating contexts into quantitative intersectional analyses of health inequalities.
Health & Place. vol. 60
Abstract
Quantitative intersectional analyses often overlook the roles of contexts in shaping intersectional experiences and outcomes. This study advances a novel approach for integrating quantitative intersectional methods with models of contextual-level determinants of health inequalities. Building on recent methodological advancements, I propose an adaptation of intersectional MAIHDA (multilevel analysis of individual heterogeneity and discriminatory accuracy) where respondents are nested hierarchically in social strata defined by gender, race/ethnicity and socioeconomic classifications interacted with contextual classifications. To demonstrate this approach I examine past-month adolescent cigarette use intersectionally by school- and neighborhood-poverty status in Wave 1 of the National Longitudinal Study of Adolescent to Adult Health (N = 17,234). I conclude by discussing the adaptability of this approach to a variety of research questions, including intersectional effects that vary by contextual exposures over time, positions in social networks, and exposures to social policies.
URL
https://doi.org/10.1016/j.healthplace.2019.102214Keyword(s)
Intersectionality
Reference Type
Journal Article
Journal Title
Health & Place
Author(s)
Evans, Clare R.
Year Published
2019
Volume Number
60
ISSN/ISBN
1353-8292
DOI
10.1016/j.healthplace.2019.102214
Reference ID
6579
