{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T19:47:18Z","timestamp":1787168838218,"version":"build-2736575974"},"reference-count":64,"publisher":"SAGE Publications","issue":"8","license":[{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["AIDS Patient Care and STDs"],"published-print":{"date-parts":[[2024,8]]},"abstract":"<jats:p>\n                    Despite the availability of pre-exposure prophylaxis (PrEP), Latino sexual minority men (LSMM) continue to experience disparities in PrEP uptake and subsequently, HIV vulnerability. Social network norms are an underutilized solution to increase PrEP uptake. We used a peer influence model (network autocorrelation model) to examine the role of social network descriptive norms (i.e., actual behaviors) surrounding PrEP use. A total of 11 sociocentric networks of 13 friends (\n                    <jats:italic toggle=\"yes\">n<\/jats:italic>\n                    = 143 LSMM) were recruited into our study from 2018 to 2019 in South Florida. Most participants were in PrEP pre-contemplation (\n                    <jats:italic toggle=\"yes\">n<\/jats:italic>\n                    = 44), and almost one-third of our sample were using PrEP (\n                    <jats:italic toggle=\"yes\">n<\/jats:italic>\n                    = 38). Three network autocorrelation models were estimated using an empirically informed Bayesian analysis. We found a positive association between participants\u2019 Motivational PrEP Cascade (MPC) position and their network members\u2019 (friends\u2019) cascade position based on three different measures of connection even when accounting for PrEP knowledge: friendship (\n                    <jats:italic toggle=\"yes\">\u03c1<\/jats:italic>\n                    = 0.22; 95% CI\n                    <jats:xref ref-type=\"fn\">a<\/jats:xref>\n                    = 0.01\u20130.42), emotional closeness (\n                    <jats:italic toggle=\"yes\">\u03c1<\/jats:italic>\n                    = 0.24; 95% CI = 0.03\u20130.44), and frequency of interaction (\n                    <jats:italic toggle=\"yes\">\u03c1<\/jats:italic>\n                    = 0.22; CI = 0.03\u20130.42). Our findings highlight that an individual\u2019s progress in the MPC may be influenced by their network members\u2019 progress in the MPC, suggesting that LSMM using PrEP may serve as role models to their peers for PrEP use due to descriptive norms. Our findings further suggest that PrEP interventions for LSMM along the MPC can be implemented at the social network level.\n                  <\/jats:p>","DOI":"10.1089\/apc.2024.0077","type":"journal-article","created":{"date-parts":[[2024,8,19]],"date-time":"2024-08-19T11:57:01Z","timestamp":1724068621000},"page":"370-379","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":9,"title":["Peer Influence on Motivation to Use Pre-Exposure Prophylaxis Among Latino Sexual Minority Men in Miami, Florida: A Network Autocorrelation Model"],"prefix":"10.1177","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3500-8507","authenticated-orcid":false,"given":"Cho Hee","family":"Shrader","sequence":"first","affiliation":[{"name":"College of Nursing and Health Innovation, Arizona State University, Phoenix, Arizona, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7440-6618","authenticated-orcid":false,"given":"Lacey","family":"Craker","sequence":"additional","affiliation":[{"name":"Department of Public Health Science, School of Medicine, University of Miami Miller, Miami, Florida, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5257-7114","authenticated-orcid":false,"given":"Ariana L.","family":"Johnson","sequence":"additional","affiliation":[{"name":"Department of Public Health Science, School of Medicine, University of Miami Miller, Miami, Florida, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8245-9952","authenticated-orcid":false,"given":"Edda","family":"Rodriguez","sequence":"additional","affiliation":[{"name":"Department of Public Health Science, School of Medicine, University of Miami Miller, Miami, Florida, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0573-1710","authenticated-orcid":false,"given":"John","family":"Skvoretz","sequence":"additional","affiliation":[{"name":"Department of Sociology, University of South Florida, Tampa, Florida, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7219-7151","authenticated-orcid":false,"given":"Kyle J.","family":"Self","sequence":"additional","affiliation":[{"name":"Department of Educational and Psychological Studies, University of Miami, Miami, Florida, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2260-3307","authenticated-orcid":false,"given":"Mariano","family":"Kanamori","sequence":"additional","affiliation":[{"name":"Department of Public Health Science, School of Medicine, University of Miami Miller, Miami, Florida, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,8,16]]},"reference":[{"key":"e_1_3_5_2_2","doi-asserted-by":"publisher","DOI":"10.2196\/23173"},{"key":"e_1_3_5_3_2","unstructured":"Centers for Disease Control and Prevention. HIV Surveillance Report 2021; Vol 34. 2023. Available from: https:\/\/stacks.cdc.gov\/view\/cdc\/149071 [Last accessed: August1 2023]."},{"key":"e_1_3_5_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.annepidem.2017.02.003"},{"key":"e_1_3_5_5_2","unstructured":"Florida Department of Health. Miami-Dade county epidemiological profile 2021. 2024. Available from: https:\/\/www.flhealthcharts.gov\/ChartsDashboards\/rdPage.aspx?rdReport=HIVAIDS.DataViewer&cid=0471 [Last accessed: March20 2024]."},{"key":"e_1_3_5_6_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1002690"},{"key":"e_1_3_5_7_2","unstructured":"HIV Prevention Trials Network. HPTN 083: A phase 2b\/3 double blind safety and efficacy study of injectable cabotegravir compared to daily oral tenofovir disoproxil fumarate\/emtricitabine (TDF\/FTC) for pre-exposure prophylaxis in HIV-uninfected cisgender men and transgender women who have sex with men. Emtricitabine (TDF\/FTC) for Pre-Exposure Prophylaxis in HIV-Uninfected Cisgender Men and Transgender Women who have Sex with Men. 2017. Available from: https:\/\/www.hptn.org\/research\/studies\/hptn083"},{"key":"e_1_3_5_8_2","doi-asserted-by":"publisher","DOI":"10.1097\/COH.0000000000000597"},{"key":"e_1_3_5_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11524-019-00362-4"},{"key":"e_1_3_5_10_2","unstructured":"Centers for Disease Control and Prevention. HIV Surveillance Supplemental Report: Monitoring Selected National HIV Prevention and Care Objectives by Using HIV Surveillance Data United States and 6 Dependent Areas 2018; Vol 25 (2). 2020. 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