Literature DB >> 31571020

Gender Identity and Sexual Orientation in Chinese Men Who Have Sex with Men: A Latent Class Analysis.

M Kumi Smith1,2, Chongyi Wei3,4, Chuncheng Liu3,5, Stephen W Pan3,6, Jason J Ong3,7, Joseph D Tucker3,8.   

Abstract

Men who have sex with men (MSM) are a diverse population yet are often treated as a monolithic risk group. In China, MSM have long been characterized as a "bridge population" of closeted men who are married to (or will marry) women due to sociocultural expectations. Latent class models can inform a more nuanced yet empirical characterization of this population. In total, 1424 eligible respondents recruited online provided self-reported behavioral data. Nine items related to constructs including sexual behaviors, sexual orientation, and gender identity informed the latent class model. Logistic regression was used to measure associations between latent class membership and HIV-related sexual and health-seeking behaviors. Model fit indicated a population structure made up of four classes that we characterized as "Gender nonconforming" (4.3%), "Closeted-unmarried" (29.9%), "Closeted-married" (24.6%), and "Out" (41.2%). Members of the "gender nonconforming" class were more likely to report HIV-related risk behaviors, and "Closeted-unmarried" class members were less likely to report health-seeking behaviors, both relative to "Out" members. The largest latent class was made up of members of the "Out" class, an enlightening revision of a population traditionally viewed as largely closeted men. Two types of "closeted" classes emerged, distinguished by divergent tendencies regarding marriage and health seeking. Findings suggest that current understandings of Chinese MSM are simplistic (regarding closeted behaviors) and too narrow (in its definition of MSM as cisgender men). A more nuanced understanding of MSM subgroups and their heterogeneous risk behaviors will be critical for provision of more meaningful prevention services.

Entities:  

Keywords:  Gender identity; HIV risk behaviors; Latent class analysis; Men who have sex with men; Sexual orientation

Mesh:

Year:  2019        PMID: 31571020      PMCID: PMC7035172          DOI: 10.1007/s10508-019-01481-4

Source DB:  PubMed          Journal:  Arch Sex Behav        ISSN: 0004-0002


  61 in total

1.  The trouble with "MSM" and "WSW": erasure of the sexual-minority person in public health discourse.

Authors:  Rebecca M Young; Ilan H Meyer
Journal:  Am J Public Health       Date:  2005-06-16       Impact factor: 9.308

2.  Migration, neighborhoods, and networks: approaches to understanding how urban environmental conditions affect syndemic adverse health outcomes among gay, bisexual and other men who have sex with men.

Authors:  James E Egan; Victoria Frye; Steven P Kurtz; Carl Latkin; Minxing Chen; Karin Tobin; Cui Yang; Beryl A Koblin
Journal:  AIDS Behav       Date:  2011-04

Review 3.  Global epidemiology of HIV infection in men who have sex with men.

Authors:  Chris Beyrer; Stefan D Baral; Frits van Griensven; Steven M Goodreau; Suwat Chariyalertsak; Andrea L Wirtz; Ron Brookmeyer
Journal:  Lancet       Date:  2012-07-20       Impact factor: 79.321

Review 4.  HIV incidence among gay men and other men who have sex with men in 2020: where is the epidemic heading?

Authors:  Shauna Stahlman; Carrie Lyons; Patrick S Sullivan; Kenneth H Mayer; Sean Hosein; Chris Beyrer; Stefan D Baral
Journal:  Sex Health       Date:  2017-02       Impact factor: 2.706

5.  Modelling the Epidemiological Impact and Cost-Effectiveness of PrEP for HIV Transmission in MSM in China.

Authors:  Lei Zhang; Peng Peng; Yumeng Wu; Xiaomeng Ma; Nyi Nyi Soe; Xiaojie Huang; Hao Wu; Martin Markowitz; Kathrine Meyers
Journal:  AIDS Behav       Date:  2019-02

6.  The influence of social and sexual networks in the spread of HIV and syphilis among men who have sex with men in Shanghai, China.

Authors:  Kyung-Hee Choi; Zhen Ning; Steven E Gregorich; Qi-Chao Pan
Journal:  J Acquir Immune Defic Syndr       Date:  2007-05-01       Impact factor: 3.731

7.  Latent Class Analysis With Distal Outcomes: A Flexible Model-Based Approach.

Authors:  Stephanie T Lanza; Xianming Tan; Bethany C Bray
Journal:  Struct Equ Modeling       Date:  2013-01       Impact factor: 6.125

8.  Understanding Gay Community Subcultures: Implications for HIV Prevention.

Authors:  Garrett Prestage; Graham Brown; John De Wit; Benjamin Bavinton; Christopher Fairley; Bruce Maycock; Colin Batrouney; Phillip Keen; Ian Down; Mohamed Hammoud; Iryna Zablotska
Journal:  AIDS Behav       Date:  2015-12

Review 9.  Estimating per-act HIV transmission risk: a systematic review.

Authors:  Pragna Patel; Craig B Borkowf; John T Brooks; Arielle Lasry; Amy Lansky; Jonathan Mermin
Journal:  AIDS       Date:  2014-06-19       Impact factor: 4.177

10.  Crowdsourcing HIV Test Promotion Videos: A Noninferiority Randomized Controlled Trial in China.

Authors:  Weiming Tang; Larry Han; John Best; Ye Zhang; Katie Mollan; Julie Kim; Fengying Liu; Michael Hudgens; Barry Bayus; Fern Terris-Prestholt; Sam Galler; Ligang Yang; Rosanna Peeling; Paul Volberding; Baoli Ma; Huifang Xu; Bin Yang; Shujie Huang; Kevin Fenton; Chongyi Wei; Joseph D Tucker
Journal:  Clin Infect Dis       Date:  2016-04-29       Impact factor: 9.079

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  1 in total

1.  Chained multimediator model of sexual orientation disclosure, sexual minority stigma, sexual minority identity, social support, and resilience among ymsms.

Authors:  Sumin Tan; Ping Cen; Ting Fang; Xing Yang; Yun Zhang; Jiawen Zhu; Haimei Huang; Min Wang; Li Jiang; Jieling Mo; Chuanyi Ning
Journal:  BMC Public Health       Date:  2022-04-21       Impact factor: 4.135

  1 in total

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