Literature DB >> 21733532

Use of the Internet for sex partnership in men who have sex with men before HIV infection.

S S Lee1, Dennise K P Tam, Darwin W L Mak, K H Wong.   

Abstract

Over half (58.4%) of 77 recently diagnosed Chinese HIV infected men having sex with men (MSM) had networked sex partners through Internet in the year prior to their infections. Internet using MSM were younger (29.6y vs 38.7y; t = -4.77, P < 0.01), better educated, more likely to have a regular sex partner, and have undergone regular HIV testing (Chi square = 5.57, P < 0.05). These characteristics could be used for planning public health interventions.
Copyright © 2011 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21733532     DOI: 10.1016/j.puhe.2011.03.010

Source DB:  PubMed          Journal:  Public Health        ISSN: 0033-3506            Impact factor:   2.427


  10 in total

1.  Sociodemographic and sexual behavior characteristics of an online MSM sample in Guangdong, China.

Authors:  L Huang; E J Nehl; L Lin; G Meng; Q Liu; M W Ross; F Y Wong
Journal:  AIDS Care       Date:  2013-10-14

2.  HIV and syphilis prevalence among men who have sex with men: a cross-sectional survey of 61 cities in China.

Authors:  Zunyou Wu; Jie Xu; Enwu Liu; Yurong Mao; Yan Xiao; Xinhua Sun; Yufen Liu; Yan Jiang; Jennifer M McGoogan; Zhi Dou; Guodong Mi; Ning Wang; Jiangping Sun; Zhongfu Liu; Lu Wang; Keming Rou; Lin Pang; Wenge Xing; Juan Xu; Shuo Wang; Yan Cui; Zhijun Li; Marc Bulterys; Wen Lin; Jinkou Zhao; Ray Yip; You Wu; Yang Hao; Yu Wang
Journal:  Clin Infect Dis       Date:  2013-04-11       Impact factor: 9.079

3.  Editorial commentary: China, HIV, and syphilis among men who have sex with men: an urgent call to action.

Authors:  Kathryn E Muessig; Myron S Cohen
Journal:  Clin Infect Dis       Date:  2013-04-11       Impact factor: 9.079

4.  Factors associated with unprotected receptive anal intercourse with internal ejaculation among men who have sex with men in a large Internet sample from Asia.

Authors:  Sin How Lim; Thomas E Guadamuz; Chongyi Wei; Roy Chan; Stuart Koe
Journal:  AIDS Behav       Date:  2012-10

5.  Seeking Male Sexual Partners via Internet and Traditional Venues among Chinese Men Who Have Sex with Men: Implications for HIV Risk Reduction Interventions.

Authors:  Yu Liu; Juan Wang; Han-Zhu Qian; Hongjie Liu; Lu Yin; Hongyan Lu; Chen Zhang; Yuhua Ruan; Yiming Shao; Sten H Vermund
Journal:  AIDS Behav       Date:  2016-10

Review 6.  Changing patterns of HIV epidemic in 30 years in East Asia.

Authors:  S Pilar Suguimoto; Teeranee Techasrivichien; Patou Masika Musumari; Christina El-saaidi; Bhekumusa Wellington Lukhele; Masako Ono-Kihara; Masahiro Kihara
Journal:  Curr HIV/AIDS Rep       Date:  2014-06       Impact factor: 5.071

7.  Virtual versus physical channel for sex networking in men having sex with men of sauna customers in the City of Hong Kong.

Authors:  Shui-Shan Lee; Agnes N S Lam; Chi-Kei Lee; Ngai-Sze Wong
Journal:  PLoS One       Date:  2012-02-10       Impact factor: 3.240

8.  A mixed-methods study on the acceptability of using eHealth for HIV prevention and sexual health care among men who have sex with men in China.

Authors:  Kathryn E Muessig; Cedric H Bien; Chongyi Wei; Elaine J Lo; Min Yang; Joseph D Tucker; Ligang Yang; Gang Meng; Lisa B Hightow-Weidman
Journal:  J Med Internet Res       Date:  2015-04-21       Impact factor: 5.428

Review 9.  Using eHealth to engage and retain priority populations in the HIV treatment and care cascade in the Asia-Pacific region: a systematic review of literature.

Authors:  Julianita Purnomo; Katherine Coote; Limin Mao; Ling Fan; Julian Gold; Raghib Ahmad; Lei Zhang
Journal:  BMC Infect Dis       Date:  2018-02-17       Impact factor: 3.090

10.  Mobile Health App for Self-Learning on HIV Prevention Knowledge and Services Among a Young Indonesian Key Population: Cohort Study.

Authors:  Priyanka Rani Garg; Leena Uppal; Sunil Mehra; Devika Mehra
Journal:  JMIR Mhealth Uhealth       Date:  2020-09-08       Impact factor: 4.773

  10 in total

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