ABSTRACT

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.

摘要

加拿大的健康不平等现象普遍存在。交叉理论和新的定量方法可用于理解健康不平等。本研究利用 2015 年和 2016 年加拿大社区健康调查的成年人样本，使用多层次分析个体异质性和歧视准确性 (MAIHDA) 来检验种族、性别、收入和移民身份对感知健康和感知心理健康的交叉影响. 最终模型的小方差分配系数表明，跨社会阶层的大部分方差可以由四个变量的主要影响来解释。报告了每个社会阶层的交叉相互作用效应。