Literature DB >> 21660750

"Bridge population": sex workers or their clients?--STI prevalence and risk behaviors of clients of female sex workers in China.

Z J Huang1, W Wang, M C Martin, E J Nehl, B D Smith, F Y Wong.   

Abstract

As the HIV/AIDS epidemic and the spread of sexually transmitted infections (STIs) in China has come to the forefront of public health attention, female sex workers (FSWs) and their clients (CFSWs) are becoming increasingly important to HIV/STI prevention efforts. This secondary analysis uses data abstracted from the Chinese Health and Family Life Survey 1999-2000 to report prevalence rates of two STIs as well as sexual risk behaviors for CFSWs - men who paid for sex with FSWs in the past 12 months - in comparison with men who had not patronized FSWs. Among 1879 Chinese CFSWs who completed anonymous interviews and urine testing, 152 (6.3%, weighted) said they had paid for sex in the past 12 months and 18.8% of CFSWs (weighted) tested positive for gonorrhea. CFSWs were 10 times more likely to have an STI (either self-reported or tested) than non-client Chinese men, and they were equally likely to use condoms inconsistently with their spouses. This study highlights the importance of studying CFSWs who use condoms inconsistently and do not practice safe sex with their spouse as a potential bridge population. Prevention and intervention efforts should target this bridge population and include education on HIV/AIDS and STI transmission, condom promotion, marriage counseling, destigmatization of HIV and STIs, and promotion of STI diagnosis and treatment.

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Year:  2011        PMID: 21660750     DOI: 10.1080/09540121.2010.507759

Source DB:  PubMed          Journal:  AIDS Care        ISSN: 0954-0121


  25 in total

1.  What role does transactional sex play in the HIV/STI and reproductive health risk behaviour among high-tier entertainment centre workers in China?

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2.  Condom Use During Commercial Sex Among Male Clients of Female Sex Workers in Sichuan China: A Social Cognitive Theory Analysis.

Authors:  Yi Yang; Cui Yang; Carl A Latkin; Rongsheng Luan; Kenrad E Nelson
Journal:  AIDS Behav       Date:  2016-10

3.  Hazardous drinking and HIV-risk-related behavior among male clients of female sex workers in Tijuana, Mexico.

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4.  HIV risk and sexual health among female migrants in China.

Authors:  Wen Huang; Yanyan Dong; Lin Chen; Dandan Song; Jun Wang; Haidong Tao; Nickolas Zaller; Hongbo Zhang; Don Operario
Journal:  Health Promot Int       Date:  2015-06-04       Impact factor: 2.483

5.  Sexually transmitted infection screening uptake and knowledge of sexually transmitted infection symptoms among female sex workers participating in a community randomised trial in Peru.

Authors:  Pamela K Kohler; Pablo E Campos; Patricia J Garcia; Cesar P Carcamo; Clara Buendia; James P Hughes; Carolina Mejia; Geoff P Garnett; King K Holmes
Journal:  Int J STD AIDS       Date:  2015-05-04       Impact factor: 1.359

6.  HIV-related risk among female migrants working in entertainment venues in China.

Authors:  Wen Huang; Don Operario; Yanyan Dong; Nickolas Zaller; Dandan Song; Huan He; Haidong Tao; Junrui Xia; Hongbo Zhang
Journal:  Prev Sci       Date:  2014-06

7.  Men who purchase sex, who are they? An interurban comparison.

Authors:  Danielle C Ompad; David L Bell; Silvia Amesty; Alan G Nyitray; Mary Papenfuss; Eduardo Lazcano-Ponce; Luisa L Villa; Anna R Giuliano
Journal:  J Urban Health       Date:  2013-12       Impact factor: 3.671

8.  Accounting for selection bias in association studies with complex survey data.

Authors:  Kathleen E Wirth; Eric J Tchetgen Tchetgen
Journal:  Epidemiology       Date:  2014-05       Impact factor: 4.822

9.  U.S. drug use and migration experiences of Mexican female sex workers who are injection drug users.

Authors:  Victoria D Ojeda; José Luis Burgos; A Gudelia Rangel; Remedios Lozada; Alicia Vera
Journal:  J Health Care Poor Underserved       Date:  2012-11

10.  An analysis of risk factors for human immunodeficiency virus infection among Chinese blood donors.

Authors:  Jingxing Wang; Jing Liu; Yi Huang; Tonghan Yang; Fuzhu Yao; Xiangdong Dong; Guoxin Wen; Xinhong Bi; Mingjiang Zhao; Xiuqiong Wen; Mei Huang; Yunlai Lü; Hongli Ma; Qilu Yu; David Wright; Nan Guo; Paul Ness; Hua Shan
Journal:  Transfusion       Date:  2013-01-10       Impact factor: 3.157

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