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Interpersonal Discrimination, Gendered Race, and Cardiovascular Disease Inequities: Application of the Emerging Identity Pathology Model

An emerging framework, the Identity Pathology (IP) model, partially addresses persistent uncertainties about the primary causes of disparities in cardiovascular health (CVH) between black and white women and men through outlining how identity beliefs associated with social group membership lead to predictable differences in the health-damaging effects of discrimination exposure. Using data from the CARDIA cohort, this doctoral thesis seeks to: 1) propose a novel psychosocial characteristic, identity pathology, that drives the distribution of reported race and gender discrimination in health-relevant ways, 2) assess whether there are group differences in the effects of multiple versus single forms of discrimination on future CVH, and 3) assess variation between these groups in the relationships of reported racial and gender discrimination in a variety of daily life settings with future CVH. The IP framework suggests that beliefs about identity unique to each gendered race group influence the perception of discrimination and whether reported exposure will be associated with CVH. Simultaneous reports of racial and gender discrimination in multiple settings (compared with no discrimination) were negatively associated with future CVH only among white men. Further, the setting in which discrimination was reported appeared to be a significant indicator of whether experiencing multiple forms of discrimination negatively impacted CVH in each group. Our findings contribute to the literature through introducing a novel framework for assessing the effects of interpersonal discrimination. This work also provides preliminary evidence that compounded experiences of interpersonal racial and gender discrimination may not substantially contribute to poorer CVH among black women.

Identiferoai:union.ndltd.org:umassmed.edu/oai:escholarship.umassmed.edu:gsbs_diss-2019
Date01 March 2019
CreatorsBey, Ganga S.
PublishereScholarship@UMassChan
Source SetsUniversity of Massachusetts Medical School
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceMorningside Graduate School of Biomedical Sciences Dissertations and Theses
RightsLicensed under a Creative Commons license, http://creativecommons.org/licenses/by/4.0/

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