{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Kelly NK"],"funding":["NIAID NIH HHS"],"pagination":["1543-1552"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11239282"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["38(10)"],"pubmed_abstract":["<h4>Objective</h4>The aim of this study was to estimate the longitudinal associations of state-level anti-LGBTQ+ policies and county-level politics with individual HIV prevention outcomes among sexual and gender minoritized (SGM) youth.<h4>Design</h4>Keeping it LITE-1 prospectively enrolled 3330 SGM youth and young adults (ages 13-34) at increased risk of HIV throughout the United States from 2017 to 2022.<h4>Methods</h4>Semiannual surveys collected self-reported HIV prevention measures [current preexposure prophylaxis (PrEP) use, weekly PrEP adherence, HIV/STI testing in the past 6 months]. Geolocation was linked with state-level LGBTQ+ policy data and county-level election data. Generalized linear models with GEE estimated the single and joint longitudinal associations for two exposures "],"journal":["AIDS (London, England)"],"pubmed_title":["The relationship between anti-LGBTQ+ legislation and HIV prevention among sexual and gender minoritized youth."],"pmcid":["PMC11239282"],"funding_grant_id":["UH3 AI133676","T32 AI070114","UG3 AI169631","UG3 AI133676"],"pubmed_authors":["Pence BW","Slaughter-Acey J","Pettifor AE","French AL","Ranapurwala SI","Hosek S","Kelly NK","Hightow-Weidman LB"],"additional_accession":[]},"is_claimable":false,"name":"The relationship between anti-LGBTQ+ legislation and HIV prevention among sexual and gender minoritized youth.","description":"<h4>Objective</h4>The aim of this study was to estimate the longitudinal associations of state-level anti-LGBTQ+ policies and county-level politics with individual HIV prevention outcomes among sexual and gender minoritized (SGM) youth.<h4>Design</h4>Keeping it LITE-1 prospectively enrolled 3330 SGM youth and young adults (ages 13-34) at increased risk of HIV throughout the United States from 2017 to 2022.<h4>Methods</h4>Semiannual surveys collected self-reported HIV prevention measures [current preexposure prophylaxis (PrEP) use, weekly PrEP adherence, HIV/STI testing in the past 6 months]. Geolocation was linked with state-level LGBTQ+ policy data and county-level election data. Generalized linear models with GEE estimated the single and joint longitudinal associations for two exposures ","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Aug","modification":"2026-03-17T15:29:55.624Z","creation":"2025-08-16T03:06:56.799Z"},"accession":"S-EPMC11239282","cross_references":{"pubmed":["38742882"],"doi":["10.1097/qad.0000000000003926","10.1097/QAD.0000000000003926"]}}