title: Race, gender, class, sexuality (RGCS) and hypertension.
abstract: Informed by intersectionality theory, a tradition that theorizes intersecting power relations of racism, patriarchy, classism and heterosexism, this paper investigates the degree to which race, gender, class and sexuality manifest distinct and interconnected associations with self-reported hypertension in nationally-representative survey data from Canada. Binary logistic regression is used to model the main effects of, and interactions between, race, gender, education, household income and sexual orientation on hypertension, controlling for age, using data from the 2003 Canadian Community Health Survey (n = 90,310). From a main effects ('additive') perspective, Black respondents, respondents with less than high school and poorer respondents were significantly more likely than White respondents, university-educated Canadians and wealthier Canadians, respectively, to report hypertension. However, the interactive models indicate that the additive models were poor predictors of hypertension for wealthy Black men, wealthy South Asian women, women with less than a high school diploma and wealthy bisexual respondents, who were more likely than expected to report hypertension, and for poor Black men, poor South Asian women, poor South Asian men and women with a university degree, who were less likely than expected to report hypertension. It appears that, with regard to blood pressure at least, Canadians experience the health effects of education differently by their genders and the health effects of income differently by their identities defined at the intersection of race and gender. This study provides empirical support for the intersectional approach to cardiovascular health inequalities by demonstrating that race, gender, class and sexuality cannot be disentangled from one another as predictors of hypertension.
authors.affiliation: Department of Sociology, The University of British Columbia, Vancouver, BC, Canada. gerry.veenstra@ubc.ca
authors.forename: Gerry
authors.initials: G
authors.lastname: Veenstra
mesh_terms: D000328:Adult; D000368:Aged; D044466:Asian People / Q000706:statistics & numerical data*; D044383:Black People / Q000706:statistics & numerical data*; D002170:Canada; D005260:Female; D006306:Health Surveys; D006801:Humans; D006973:Hypertension / Q000208:ethnology*; D008297:Male; D008875:Middle Aged; D044468:Native Hawaiian or Pacific Islander / Q000706:statistics & numerical data*; D012307:Risk Factors; D057566:Self Report; D017678:Sex Distribution; D012725:Sexual Behavior / Q000706:statistics & numerical data*; D012923:Social Class; D012959:Socioeconomic Factors; D044465:White People / Q000706:statistics & numerical data*