The Association Between Social and Spatial Closeness With PrEP Conversations Among Latino Men Who Have Sex With Men.
Journal
Journal of acquired immune deficiency syndromes (1999)
ISSN: 1944-7884
Titre abrégé: J Acquir Immune Defic Syndr
Pays: United States
ID NLM: 100892005
Informations de publication
Date de publication:
01 12 2021
01 12 2021
Historique:
received:
01
03
2021
accepted:
22
07
2021
pubmed:
4
8
2021
medline:
18
1
2022
entrez:
3
8
2021
Statut:
ppublish
Résumé
US Latino men who have sex with men (LMSM) are a group at highest risk for HIV. One driver of HIV among LMSM is inadequate access to pre-exposure prophylaxis (PrEP) information. The social network theory of homophily suggests that sharing similar sociodemographic factors could influence PrEP conversations within networks. This study aimed to determine how the effects of homophily across sociodemographic, immigration, cultural, and PrEP-related factors are associated with PrEP-related communication. This study was conducted in Miami-Dade County, FL. Data collected between August 2018 and October 2019 included 10 sociocentric friendship groups of 13 LMSM (N = 130). Participants were recruited using respondent-driven sampling by a community-based organization in Miami. We used the multiple regression quadratic assignment procedure to identify the effects of homophily and relationship characteristics on PrEP-related conversations using R software. More frequent PrEP-related conversations were associated with dyadic friendships characterized by homophily on knowledge of PrEP effectiveness, heterophily on depressive symptom severity, home addresses proximity, friend closeness, and interaction frequency. Past PrEP-related conversation frequency also increased based on heterophily on the Latino cultural value of familism (ie, emotional support to family). Racial homophily, heterophily on severity of depressive symptoms, home addresses proximity, friendship closeness, and frequency of interactions increased likelihood to encourage a friend to use PrEP. Social and spatial closeness and homophily play a role in PrEP-related conversations. Information from social networks contextualized in geographic settings can be elucidated to contribute toward the design of novel opportunities to end HIV.
Sections du résumé
BACKGROUND
US Latino men who have sex with men (LMSM) are a group at highest risk for HIV. One driver of HIV among LMSM is inadequate access to pre-exposure prophylaxis (PrEP) information. The social network theory of homophily suggests that sharing similar sociodemographic factors could influence PrEP conversations within networks. This study aimed to determine how the effects of homophily across sociodemographic, immigration, cultural, and PrEP-related factors are associated with PrEP-related communication.
SETTING
This study was conducted in Miami-Dade County, FL.
METHODS
Data collected between August 2018 and October 2019 included 10 sociocentric friendship groups of 13 LMSM (N = 130). Participants were recruited using respondent-driven sampling by a community-based organization in Miami. We used the multiple regression quadratic assignment procedure to identify the effects of homophily and relationship characteristics on PrEP-related conversations using R software.
RESULTS
More frequent PrEP-related conversations were associated with dyadic friendships characterized by homophily on knowledge of PrEP effectiveness, heterophily on depressive symptom severity, home addresses proximity, friend closeness, and interaction frequency. Past PrEP-related conversation frequency also increased based on heterophily on the Latino cultural value of familism (ie, emotional support to family). Racial homophily, heterophily on severity of depressive symptoms, home addresses proximity, friendship closeness, and frequency of interactions increased likelihood to encourage a friend to use PrEP.
DISCUSSION
Social and spatial closeness and homophily play a role in PrEP-related conversations. Information from social networks contextualized in geographic settings can be elucidated to contribute toward the design of novel opportunities to end HIV.
Identifiants
pubmed: 34342298
doi: 10.1097/QAI.0000000000002777
pii: 00126334-202112010-00007
pmc: PMC8556301
mid: NIHMS1728486
doi:
Substances chimiques
Anti-HIV Agents
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
366-375Subventions
Organisme : NIMHD NIH HHS
ID : G12 MD007583
Pays : United States
Organisme : NIAID NIH HHS
ID : U01 AI038855
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL146208
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH100021
Pays : United States
Organisme : NIAID NIH HHS
ID : R24 AI067039
Pays : United States
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ID : U01 AI069432
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL146193
Pays : United States
Organisme : NIAAA NIH HHS
ID : U01 AA020790
Pays : United States
Organisme : NCATS NIH HHS
ID : KL2 TR000421
Pays : United States
Organisme : NIMHD NIH HHS
ID : U54 MD002266
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000004
Pays : United States
Organisme : NIDA NIH HHS
ID : F31 DA037788
Pays : United States
Organisme : NIAAA NIH HHS
ID : R01 AA016893
Pays : United States
Organisme : NIMHD NIH HHS
ID : P20 MD002288
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA036297
Pays : United States
Organisme : NIAID NIH HHS
ID : P30 AI050409
Pays : United States
Organisme : NIAID NIH HHS
ID : F31 AI124794
Pays : United States
Organisme : NIMH NIH HHS
ID : P30 MH062246
Pays : United States
Organisme : NIAID NIH HHS
ID : U01 AI069434
Pays : United States
Organisme : NIAAA NIH HHS
ID : P01 AA029545
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA011602
Pays : United States
Organisme : NIAID NIH HHS
ID : P30 AI094189
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL146245
Pays : United States
Organisme : NIDA NIH HHS
ID : K24 DA000432
Pays : United States
Organisme : NIMH NIH HHS
ID : P30 MH116867
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH125727
Pays : United States
Organisme : NCRR NIH HHS
ID : UL1 RR024131
Pays : United States
Organisme : NIMHD NIH HHS
ID : F31 MD015988
Pays : United States
Organisme : NIDA NIH HHS
ID : R00 DA041494
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL146192
Pays : United States
Organisme : NIAID NIH HHS
ID : U01 AI038858
Pays : United States
Organisme : NEI NIH HHS
ID : U10 EY008057
Pays : United States
Organisme : NIAID NIH HHS
ID : U01 AI068636
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL146201
Pays : United States
Organisme : NIA NIH HHS
ID : R21 AG059505
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002378
Pays : United States
Organisme : NIAID NIH HHS
ID : P30 AI110527
Pays : United States
Organisme : NIAID NIH HHS
ID : P30 AI027763
Pays : United States
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Pays : United States
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Pays : United States
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Pays : United States
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Pays : United States
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Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000083
Pays : United States
Organisme : NIAID NIH HHS
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Pays : United States
Organisme : NHLBI NIH HHS
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Pays : United States
Organisme : NIDA NIH HHS
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Pays : United States
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Pays : United States
Organisme : NEI NIH HHS
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Pays : United States
Organisme : NHLBI NIH HHS
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Pays : United States
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Pays : United States
Informations de copyright
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.
Déclaration de conflit d'intérêts
The authors have no conflicts of interest to disclose.
Références
Centers for Disease Control and Prevention. HIV Surveillance Report, 2018 (Updated). Atlanta, GA: CDC; November 2019, 2020.
HIV/AIDS Section, Florida Department of Health. HIV/AIDS Epidemiological Profile, EMA 011A: HIV Diagnoses from 2014 to 2018. Atlanta, GA: Division of Disease Control and Health Protection; 2020.
Grant RM, Lama JR, Anderson PL, et al. Preexposure chemoprophylaxis for HIV prevention in men who have sex with men. N Engl J Med. 2010;363:2587–2599.
Bangsberg D, Haberer J, Psaros C, et al. High adherence and high effectiveness observed in HIV discordant couples: partners PrEP Study, adherence monitoring and counseling substudy. Paper presented at: 19th Conference on Retroviruses and Opportunistic Infections (CROI); 2012.
Thigpen MC, Kebaabetswe PM, Paxton LA, et al. Antiretroviral preexposure prophylaxis for heterosexual HIV transmission in Botswana. N Engl J Med. 2012;367:423–434.
Choopanya K, Martin M, Suntharasamai P, et al. Antiretroviral prophylaxis for HIV infection in injecting drug users in Bangkok, Thailand (the Bangkok Tenofovir Study): a randomised, double-blind, placebo-controlled phase 3 trial. Lancet. 2013;381:2083–2090.
HIV Prevention Pill Not Reaching Most Americans Who Could Benefit—Especially People of Color [Press Release]. Atlanta, GA: Centers for Disease Control and Prevention. 2018-03-23T06:52:05Z; 2018.
Centers for Disease Control and Prevention. 2019 Conference on Retroviruses and Opportunistic Infections: PrEP Use Has Increased Among Gay and Bisexual Men at Risk for HIV. Atlanta, GA: CDC; 2019. Available at: https://www.cdc.gov/nchhstp/newsroom/2019/croi-2019.html . Accessed September 7, 2020.
Cohen SE. Lessons Learned From the US PrEP Demonstration Project: Moving From the “Real World” to the “Real, Real world.” San Francisco, CA: UCSF; 2015.
Algarin AB, Shrader CH, Bhatt C, et al. The pre-exposure prophylaxis (PrEP) continuum of care and correlates to initiation among HIV-negative men recruited at Miami Gay Pride 2018. J Urban Health. 2019;96:835–844.
McPherson M, Smith-Lovin L, Cook JM. Birds of a feather: homophily in social networks. Annu Rev Sociol. 2001;27:415–444.
Monge PR, Contractor NS. Theories of Communication Networks. Oxford, UK: Oxford University Press; 2003.
Young LE, Jonas AB, Michaels S, et al. Social-structural properties and HIV prevention among young men who have sex with men in the ballroom house and independent gay family communities. Soc Sci Med. 2017;174:26–34.
Antshel KM. Integrating culture as a means of improving treatment adherence in the Latino population. Psychol Health Med. 2002;7:435–449.
Villarruel AM, Jemmott LS, Jemmott JBI. Designing a culturally based intervention to reduce HIV sexual risk for Latino adolescents. J Assoc Nurses AIDS Care. 2005;16:23–31.
Cauce AM, Domenech-Rodriguez M. Latino families: myths and realities. In: Latino Children and Families in the United States: Current Research and Future Directions. Westport, CT: Greenwood Publishing Group; 2002:3–25.
Knight G, Gonzales N, Saenz D, et al. The Mexican American cultural values scales for adolescents and adults. J Early Adolesc. 2010;30:444–481.
Shrader CH, Arroyo-Flores J, Skvoretz J, et al. PrEP use and PrEP use disclosure are associated with condom use during sex: a multilevel analysis of Latino MSM egocentric sexual networks. AIDS Behav. 2021;25:1636–1645.
Deane KD, Parkhurst JO, Johnston D. Linking migration, mobility and HIV. Trop Med Int Health. 2010;15:1458–1463.
Carrico AW. Getting to zero: targeting psychiatric comorbidities as drivers of the HIV/AIDS epidemic. Int J Behav Med. 2019;26:1–2.
Mustanski B, Birkett M, Kuhns LM, et al. The role of geographic and network factors in racial disparities in HIV among young men who have sex with men: an egocentric network study. AIDS Behav. 2015;19:1037–1047.
HIV/AIDS Surveillance, Florida Department of Health in Miami-Dade County. HIV among Hispanics/Latinos in Miami-Dade—2016. Paper presented at: Hispana Iniciativa 2017; Miami, FL.
Valverde EE, Oster AM, Xu S, et al. HIV transmission dynamics among foreign-born persons in the United States. J Acquir Immune Defic Syndr. 2017;76:445–452.
Brondolo E, Brady Ver Halen N, Pencille M, et al. Coping with racism: a selective review of the literature and a theoretical and methodological critique. J Behav Med. 2009;32:64–88.
Centers for Disease Control and Prevention. Preexposure Prophylaxis for the Prevention of HIV Infection in the United States—2017 Update: A Clinical Practice Guideline. Atlanta, GA: US Public Health Service; 2018.
Salganik MJ, Heckathorn DD. Sampling and estimation in hidden populations using respondent‐driven sampling. Sociol Methodol. 2004;34:193–240.
Kanamori M, De La Rosa M, Shrader CH, et al. Progreso en Salud: findings from two adapted social network HIV risk reduction interventions for Latina seasonal workers. Int J Environ Res Public Health. 2019;16:4530.
Cervantes RC, Fisher DG, Padilla AM, et al. The Hispanic Stress Inventory Version 2: improving the assessment of acculturation stress. Psychol Assess. 2016;28:509.
Gilbody S, Richards D, Brealey S, et al. Screening for depression in medical settings with the Patient Health Questionnaire (PHQ): a diagnostic meta-analysis. J Gen Intern Med. 2007;22:1596–1602.
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Washington, DC: American Psychiatric Publishing; 2013.
ArcGIS Pro [Computer Program]. 2019.
R: A Language and Environment for Statistical Computing [Computer Program]. Vienna, Austria: R Core Team; 2019.
Dekker D, Krackhardt D, Snijders TA. Sensitivity of MRQAP tests to collinearity and autocorrelation conditions. Psychometrika. 2007;72:563–581.
Prell C. Social Network Analysis: History, Theory and Methodology. Thousand Oaks, CA: Sage; 2012.
Everett MG, Borgatti SP. The dual-projection approach for two-mode networks. Social Networks. 2013;35:204–210.
Borgatti SP, Mehra A, Brass DJ, et al. Network analysis in the social sciences. Science. 2009;323:892–895.
Hanneman RA, Riddle M. Introduction to Social Network Methods. Riverside, CA: University of California, Riverside; 2005.
Csardi G, Nepusz T. The igraph software package for complex network research. InterJ Complex Syst. 2006;1695:1–9.
Shannon P, Markiel A, Ozier O, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13:2498–2504.
ESRI. Directional Distribution (Standard Deviational Ellipse) (Spatial Statistics). West Redlands, CA: ESRI; 2020. Available at: https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-statistics/directional-distribution.htm . Accessed December 29, 2020.
Añez LM, Paris M Jr, Bedregal LE, et al. Application of cultural constructs in the care of first generation Latino clients in a community mental health setting. J Psychiatr Pract. 2005;11:221–230.
Acevedo V. Cultural competence in a group intervention designed for Latino patients living with HIV/AIDS. Health Soc Work. 2008;33:111–120.
US Census Bureau, Population Estimates, American Community Survey. Race and Hispanic Origin: Hispanic or Latino, Percent. Washington, DC: US Census Bureau; 2019.
Schwartz-Mette RA, Lawrence HR, Shankman J, et al. Birds of a feather want to talk together: the impact of depressive symptoms on initial stages of friendship formation in older adolescence. J Soc Clin Psychol. 2018;37:769–793.
Schaefer DR, Kornienko O, Fox AM. Misery does not love company: network selection mechanisms and depression homophily. Am Sociol Rev. 2011;76:764–785.
Parsons JT, Grov C, Golub SA. Sexual compulsivity, co-occurring psychosocial health problems, and HIV risk among gay and bisexual men: further evidence of a syndemic. Am J Public Health. 2012;102:156–162.
Roth WD, Marin A. The role of skin color in Latino social networks: color homophily in sending and receiving societies. Sociol Race Ethn. 2021;7:175–193.
Biello KB, Marrow E, Mimiaga MJ, et al. A mobile-based app (MyChoices) to increase uptake of HIV testing and pre-exposure prophylaxis by young men who have sex with men: protocol for a pilot randomized controlled trial. JMIR Res Protoc. 2019;8:e10694.
Touger R, Wood BR. A review of telehealth innovations for HIV pre-exposure prophylaxis (PrEP). Curr HIV/AIDS Rep. 2019;16:113–119.
LeGrand S, Muessig KE, Horvath KJ, et al. Using technology to support HIV self-testing among men who have sex with men. Curr Opin HIV AIDS. 2017;12:425.
MacCarthy S, Barreras JL, Mendoza-Graf A, et al. Strategies for improving mobile technology–based HIV prevention interventions with Latino men who have sex with men and Latina transgender women. AIDS Educ Prev. 2019;31:407–420.
Besoain F, Perez-Navarro A, Aviñó CJ, et al. Prevention of HIV and other sexually transmitted infections by geofencing and contextualized messages with a Gamified App, UBESAFE: design and creation study. JMIR Mhealth and Uhealth. 2020;8:e14568.
Doblecki-Lewis S, Kobetz E, Byrne J, et al. 1965. PrEP on the go! Implementation mobile PrEP, STI, and HIV prevention services in south Florida. Open Forum Infect Dis. 2019;6(suppl 2):S65.
Williams J, Petersen N, Stoler J. Characterizing the spatial mismatch between intimate partner violence related healthcare services and arrests in Miami-Dade County, Florida. BMC Public Health. 2018;18:1085.
Kolaczyk ED, Krivitsky PN. On the question of effective sample size in network modeling: an asymptotic inquiry. Stat Sci. 2015;30:184.
Fujimoto K, Williams ML. Racial/ethnic differences in sexual network mixing: a log-linear analysis of HIV status by partnership and sexual behavior among most at-risk MSM. AIDS Behav. 2015;19:996–1004.
Kuhns LM, Hotton AL, Schneider J, et al. Use of pre-exposure prophylaxis (PrEP) in young men who have sex with men is associated with race, sexual risk behavior and peer network size. AIDS Behav. 2017;21:1376–1382.