Add Health as a Resource for the Science of the Exposome: Structural Sexism Measures

The structural sexism dataset described in this user guide includes measures that capture the institutionalized and unequal distribution of power, rights, and resources by sex, with implications for gendered health disparities, across the following domains: sexual and reproductive health policy and access, family assistance policy, political representation, and health disparities. This structural sexism dataset is part of a larger data collection effort that was designed to help scientists more effectively operationalize and study the exposome – the constellation of social, economic, psychological, behavioral, environmental, and biological factors that combine to shape the onset and progression of chronic disease, morbidity, and mortality. The measures described in this guide were assembled, cleaned, and merged to Add Health’s core and biological data by Athena Owirodu, Lauren Gaydosh, and Brian Frizzelle, under the direction of Robert A. Hummer, at the Carolina Population Center (CPC) at the University of North Carolina at Chapel Hill.