Literature DB >> 25587181

Cross-sectional survey comparing HIV risk behaviours of adolescent and young adult men who have sex with men only and men who have sex with men and women in the U.S. and Puerto Rico.

Jonathan M Ellen1, Lauren Greenberg2, Nancy Willard3, Stephanie Stines4, James Korelitz2, Cherrie B Boyer5.   

Abstract

OBJECTIVE: To examine the HIV risk behaviours of men who have sex with men only (MSMO) and men who have sex with men and women (MSMW), aged 12-24 years, in five US cities and in San Juan, Puerto Rico.
METHODS: Data were collected through four annual cross-sectional anonymous surveys at community venues and included questions about sexual partnerships, sexual practices including condom use and substance use. Demographic and risk profiles were summarised for both groups.
RESULTS: A total of 1198 men were included in this analysis, including 565 MSMO and 633 MSMW. There were statistically significant differences between the two groups for many risk factors examined in multivariable models. MSMW were more likely to identify as bisexual, be in a long-term relationship, have a history of homelessness, have ever used marijuana, have ever been tested for HIV and to have been tested for HIV within the past 6 months. MSMW may be more likely to ever exchange sex for money and ever have a sexually transmitted infection than MSMO.
CONCLUSIONS: MSMW were more likely to report several markers of socioeconomic vulnerability or behaviours associated with increased risk for HIV than MSMO. MSMW contribute to HIV prevalence in the USA, and better understanding of the risk profile of this group is essential to understand heterosexual HIV transmission. MSMW, particularly those who identify as bisexual or questioning, may feel uncomfortable participating in programmes that are designed for gay-identified men. Therefore, prevention strategies need to target distinct subgroups that compose the population of MSM. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  ADOLESCENT; HETEROSEXUAL BEHAVIOUR; HIV; SEXUAL BEHAVIOUR; SEXUAL HEALTH

Mesh:

Year:  2015        PMID: 25587181      PMCID: PMC4500752          DOI: 10.1136/sextrans-2014-051712

Source DB:  PubMed          Journal:  Sex Transm Infect        ISSN: 1368-4973            Impact factor:   3.519


  9 in total

1.  Laying the foundation for Connect to Protect: a multi-site community mobilization intervention to reduce HIV/AIDS incidence and prevalence among urban youth.

Authors:  Mauri A Ziff; Gary W Harper; Kate S Chutuape; Bethany Griffin Deeds; Donna Futterman; Vincent T Francisco; Larry R Muenz; Jonathan M Ellen
Journal:  J Urban Health       Date:  2006-05       Impact factor: 3.671

2.  HIV risk among substance-using men who have sex with men and women (MSMW): findings from South Florida.

Authors:  M Reuel Friedman; Steven P Kurtz; Mance E Buttram; Chongyi Wei; Anthony J Silvestre; Ron Stall
Journal:  AIDS Behav       Date:  2014-01

3.  Sexual identity, sex of sexual contacts, and health-risk behaviors among students in grades 9-12--youth risk behavior surveillance, selected sites, United States, 2001-2009.

Authors:  Laura Kann; Emily O'Malley Olsen; Tim McManus; Steve Kinchen; David Chyen; William A Harris; Howell Wechsler
Journal:  MMWR Surveill Summ       Date:  2011-06-10

4.  Partner characteristics and undiagnosed HIV seropositivity among men who have sex with men only (MSMO) and men who have sex with men and women (MSMW) in Baltimore.

Authors:  Cathy Maulsby; Frangiscos Sifakis; Danielle German; Colin P Flynn; David Holtgrave
Journal:  AIDS Behav       Date:  2012-04

5.  Survey data collection using Audio Computer Assisted Self-Interview.

Authors:  Rachel Jones
Journal:  West J Nurs Res       Date:  2003-04       Impact factor: 1.967

6.  HIV risk among men who have sex with men only (MSMO) and men who have sex with men and women (MSMW) in Baltimore.

Authors:  Cathy Maulsby; Frangiscos Sifakis; Danielle German; Colin P Flynn; David Holtgrave
Journal:  J Homosex       Date:  2013

7.  Examining differences in types and location of recruitment venues for young males and females from urban neighborhoods: findings from a multi-site HIV prevention study.

Authors:  Kate S Chutuape; Mauri Ziff; Colette Auerswald; Marné Castillo; Antionette McFadden; Jonathan Ellen
Journal:  J Urban Health       Date:  2008-10-30       Impact factor: 3.671

8.  A Longitudinal Investigation of Syndemic Conditions Among Young Gay, Bisexual, and Other MSM: The P18 Cohort Study.

Authors:  Perry N Halkitis; Farzana Kapadia; Kristen L Bub; Staci Barton; Alvaro D Moreira; Christopher B Stults
Journal:  AIDS Behav       Date:  2015-06

9.  HIV infection and sexual risk among men who have sex with men and women (MSMW): a systematic review and meta-analysis.

Authors:  M Reuel Friedman; Chongyi Wei; Mary Lou Klem; Anthony J Silvestre; Nina Markovic; Ron Stall
Journal:  PLoS One       Date:  2014-01-30       Impact factor: 3.240

  9 in total
  9 in total

1.  Exchange of Sex for Drugs or Money in Adolescents and Young Adults: An Examination of Sociodemographic Factors, HIV-Related Risk, and Community Context.

Authors:  Cherrie B Boyer; Lauren Greenberg; Kate Chutuape; Bendu Walker; Dina Monte; Jennifer Kirk; Jonathan M Ellen
Journal:  J Community Health       Date:  2017-02

2.  Latent Growth Curve Modeling of Non-Injection Drug Use and Condomless Sexual Behavior from Ages 18 to 21 in Gay, Bisexual, and Other YMSM: The P18 Cohort Study.

Authors:  Perry N Halkitis; Kristen Bub; Christopher B Stults; Francesca C Bates; Farzana Kapadia
Journal:  Subst Use Misuse       Date:  2017-08-18       Impact factor: 2.164

3.  Food Insecurity and Risk Indicators for Sexually Transmitted Infection Among Sexually Active Persons Aged 15-44, National Survey of Family Growth, 2011-2017.

Authors:  Penny S Loosier; Laura Haderxhanaj; Oscar Beltran; Matthew Hogben
Journal:  Public Health Rep       Date:  2020-02-07       Impact factor: 2.792

4.  Men Who Have Sex with Men (MSM) Who Have Not Previously Tested for HIV: Results from the MSM Testing Initiative, United States (2012-2015).

Authors:  Hollie A Clark; Emeka Oraka; Elizabeth A DiNenno; Laura G Wesolowski; Pollyanna R Chavez; Marc A Pitasi; Kevin P Delaney
Journal:  AIDS Behav       Date:  2019-02

5.  Drug Use and Sexual HIV Transmission Risk Among Men Who have Sex with Men and Women (MSMW), Men Who have Sex with Men only (MSMO), and Men Who have Sex with Women Only (MSWO) and the Female Partners of MSMW and MSWO: A Network Perspective.

Authors:  Typhanye V Dyer; Maria R Khan; Milagros Sandoval; Abenaa Acheampong; Rotrease Regan; Melissa Bolyard; Pedro Mateu-Gelabert; Samuel R Friedman
Journal:  AIDS Behav       Date:  2017-12

6.  Subsequent Sexual Risks Among Men Who Have Sex with Men May Differ by Sex of First Partner and Age at Sexual Debut: A Cross-Sectional Study in Beijing, China.

Authors:  Yu Liu; Han-Zhu Qian; K Rivet Amico; Hongjie Liu; Lu Yin; Yuhua Ruan; Yiming Shao; Chen Zhang; Sten H Vermund
Journal:  AIDS Behav       Date:  2017-10

7.  HIV testing practices and the potential role of HIV self-testing among men who have sex with men in Mexico.

Authors:  Catherine E Oldenburg; Katie B Biello; Amaya G Perez-Brumer; Joshua Rosenberger; David S Novak; Kenneth H Mayer; Matthew J Mimiaga
Journal:  Int J STD AIDS       Date:  2016-07-11       Impact factor: 1.359

8.  Comparison of Selected Sociodemographic Characteristics and Sexual Risk Behaviors of Black/African American Men Who Have Sex with Men Only and Men Who Have Sex with Men and Women, Southeastern United States, 2013-2016.

Authors:  Malendie T Gaines; Donna Hubbard McCree; Zaneta Gaul; Kirk D Henny; DeMarc A Hickson; Madeline Y Sutton
Journal:  J Racial Ethn Health Disparities       Date:  2019-09-09

9.  HIV Infection Rates and Risk Behavior among Young Men undergoing community-based Testing in San Diego.

Authors:  Martin Hoenigl; Antoine Chaillon; Sheldon R Morris; Susan J Little
Journal:  Sci Rep       Date:  2016-05-16       Impact factor: 4.379

  9 in total

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