{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Beccia AL"],"funding":["NIMHD NIH HHS"],"pagination":["116804"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11533792"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["351 Suppl 1"],"pubmed_abstract":["Accumulating evidence links structural sexism to gendered health inequities, yet methodological challenges have precluded comprehensive examinations into life-course and/or intersectional effects. To help address this gap, we introduce an analytic framework that uses sequential conditional mean models (SCMMs) to jointly account for longitudinal exposure trajectories and moderation by multiple dimensions of social identity/position, which we then apply to study how early life-course exposure to U.S. state-level structural sexism shapes mental health outcomes within and between gender groups. Data came from the Growing Up Today Study, a cohort of 16,875 children aged 9-14 years in 1996 who we followed through 2016. Using a composite index of relevant public policies and societal conditions ("],"journal":["Social science & medicine (1982)"],"pubmed_title":["Methods for structural sexism and population health research: Introducing a novel analytic framework to capture life-course and intersectional effects."],"pmcid":["PMC11533792"],"funding_grant_id":["F32 MD017452"],"pubmed_authors":["Ding EY","Agenor M","Austin SB","Beccia AL","Baek J","Lapane KL"],"additional_accession":[]},"is_claimable":false,"name":"Methods for structural sexism and population health research: Introducing a novel analytic framework to capture life-course and intersectional effects.","description":"Accumulating evidence links structural sexism to gendered health inequities, yet methodological challenges have precluded comprehensive examinations into life-course and/or intersectional effects. To help address this gap, we introduce an analytic framework that uses sequential conditional mean models (SCMMs) to jointly account for longitudinal exposure trajectories and moderation by multiple dimensions of social identity/position, which we then apply to study how early life-course exposure to U.S. state-level structural sexism shapes mental health outcomes within and between gender groups. Data came from the Growing Up Today Study, a cohort of 16,875 children aged 9-14 years in 1996 who we followed through 2016. Using a composite index of relevant public policies and societal conditions (","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jun","modification":"2025-04-04T07:28:06.081Z","creation":"2025-04-04T07:28:06.081Z"},"accession":"S-EPMC11533792","cross_references":{"pubmed":["38825380"],"doi":["10.1016/j.socscimed.2024.116804"]}}