2015
DOI: 10.1080/17441692.2015.1045918
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What role does transactional sex play in the HIV/STI and reproductive health risk behaviour among high-tier entertainment centre workers in China?

Abstract: China’s rapid economic growth over the last three decades has led to increased population wealth and the proliferation of entertainment centres where people can conduct business, relax and meet new people. Little is known about the sexual risk behaviours of employees at high-tier entertainment centres. This paper addresses this gap in knowledge by comparing HIV risk perception and sexual and reproductive health behaviours among female and male employees at three high-tier entertainment centres in two cities in… Show more

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Cited by 2 publications
(2 citation statements)
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“…Regardless of the mechanism underlying the geographic variation, our findings suggest greater sexual risk for young women in age-disparate partnerships in urban areas as transactional sex has been linked to high risk behaviours including unprotected sex [ 14 ] and anal sex [ 54 , 55 ], as well as intimate-partner violence [ 56 58 ]. Gender differences in perceptions about motivations and intentions within partnerships in South Africa [ 56 , 59 , 60 ] align with our findings that men are more likely to perceive a transactional element in partnerships than women.…”
Section: Discussionmentioning
confidence: 91%
“…Regardless of the mechanism underlying the geographic variation, our findings suggest greater sexual risk for young women in age-disparate partnerships in urban areas as transactional sex has been linked to high risk behaviours including unprotected sex [ 14 ] and anal sex [ 54 , 55 ], as well as intimate-partner violence [ 56 58 ]. Gender differences in perceptions about motivations and intentions within partnerships in South Africa [ 56 , 59 , 60 ] align with our findings that men are more likely to perceive a transactional element in partnerships than women.…”
Section: Discussionmentioning
confidence: 91%
“…To obtain more accurate estimates of RTI risk, we made full use of available data from multiple sources, such as DHS, MODIS/Terra, WorldClim, SEDAC, SWBD and WorldPop (Table S1, Additional file 1 ). However, other potential influencing factors, such as social attitudes [ 50 ] and the number of sexual partners [ 51 , 52 ], are not available at sub-national level, thus cannot be included in our analyses. In addition, as we did not obtain data at high spatial resolution for wealth of household, we used district-level data for risk prediction, by assuming levels of wealth within districts were similar, which may lead to spatial misalignment issue and result in bias.…”
Section: Discussionmentioning
confidence: 99%