Abstract
Entertainment venues in China are associated with risky sexual behavior. Most previous studies related to entertainment venues in China have focused on sex workers and commercial sex, but this study addressed sexual health in a sample of the general urban population. A randomly selected sample of market vendors (n = 4,510) from an eastern city was recruited and assessed to examine relationships between entertainment venue visits and sexual risk. Both behavioral (self-reports of unprotected sex) and biomedical (STD test results) measures were used. About 18% of the sample (26.8% of men and 9% of women) reported visiting entertainment venues in the past 30 days. Those who visited entertainment venues were more likely to be male, younger, single, with higher education, and to have more discretionary income. For both men and women, visiting entertainment venues was a significant predictor for unprotected sex and STD infection. Gender differences were observed in predicting unprotected sex and STD infections. Entertainment venues could be potential sites for place-based intervention programs and out-reach for the general population.
Keywords: China, Behavioral intervention, HIV, STD, Entertainment venues
Introduction
Commercial sex workers have played a major role in the spread of the HIV epidemic in many developing countries (Davis, 1993). Through 2005, heterosexual transmission accounted for 43.6% of cumulative reported HIV/AIDS cases in China (China Ministry of Health, Joint United Program on HIV/AIDS, World Health Organization, 2006). Although commercial sex is illegal in China, there are still many female sex workers who work and find clients at licensed entertainment venues, such as karaoke bars, saunas, night clubs, discos, or massage parlors (Li et al., 2006; Pan, 2004; Qu et al., 2002; Wei et al., 2004). Between 4 and 10 million women were estimated to engage in commercial sex in China, playing a significant role as a “bridge population” (Pan, 2004; Pan, Parish, Wang, & Laumann, 2004; Yang, Li, Stanton, Chen, & Liu, 2005). Sex workers have attracted a great deal of attention, as HIV infections attributable to heterosexual transmission are rising in China (China Ministry of Health & UNAIDS, 2003; Wu, Sullivan, Wang, Rotheram-Borus, & Detels, 2007).
Previous studies on entertainment venues in China have focused on the profiles of female entertainment workers (Ding et al., 2005; Qu et al., 2002; Rogers, Ying, Xin, Fung, & Kaufman, 2002; Yang & Xia, 2006). It was reported that 50–80% of entertainment workers had involved in commercial sex (Wei et al., 2004; Xu et al., 2001; Yang & Xia, 2006), with more than 50% of the female entertainment workers engaging in unprotected sex with their clients, putting both parties at risk of acquiring or transmitting HIV/AIDS and other sexually transmitted diseases (Ding et al., 2005; Liao, Schensul, & Wolffers, 2003; Qu et al., 2002; Rogers et al., 2002; Xia & Yang, 2005; Xu et al., 2001; Yang, Li, Stanton, Fang, et al., 2005; Yuan, 2003; Zhao & Yu, 2001). Although studies examining the profiles of entertainment workers are important, HIV prevention in entertainment venues in China needs to go beyond targeting female entertainment workers. For example, investigating the profiles of the patrons visiting entertainment venues is needed, since they represent the general population and have potential to benefit from preventive intervention programs.
Commercial sex was abolished in China in the 1950s through a national campaign against prostitution and STD, and sex workers and prostitution in China were declared to be eliminated at that time (Burton, 1988; Cohen, Henderson, & Aiello, 1996). In the 1980s, entertainment venues, such as karaoke bars, saunas, night clubs, discos, or massage parlors, which conceal informal and clandestine sex work have ree-merged, mainly due to increased economic freedom, rural-urban migration, increased disposable income, and liberalized attitudes (Gil, Wang, Anderson, Lin, & Wu, 1996; Huang, 2003; Liao et al., 2003; Smith, 2005). The venues have grown into huge, profitable businesses and owners of these venues often overlook illegal activities (Xinhua News Agency, 2006a). From time to time, the Chinese government launches crack-downs on drug use and prostitution activities in entertainment venues (Xinhua News Agency, 2005, 2006a). Recently, for example, all the owners and managers of the 1,200 entertainment venues in Beijing were required to take part in a special anti-drug program aiming for a safe environment for the 2008 Olympic Games (Xinhua News Agency, 2006b).
The current study was part of a multi-county intervention study evaluating the effectiveness of the Community Popular Opinion Leader (C-POL) intervention in reducing HIV and STDs (NIMH Collaborative HIV/STD Prevention Trial Group, 2007a). In this study, a large, randomly selected sample of citizens who worked at markets (n = 4,510) was recruited in China. The rational to choose market vendors was that the population was relatively stable with a sufficient number of venues of manageable size. The objectives of the study were to explore the profile of market workers in terms of their individual characteristics, sexual behavior, and entertainment venue visits, and to examine associations between sexual risk and entertainment venue visits by using both behavioral (self-reports of unprotected sex) and biomedical (STD test results) measures. Potential gender differences in the relationships were also investigated.
Method
Participants
This study was part of a NIMH Collaborative HIV/STD Prevention Trial being conducted with five populations at risk for HIV and STDs in China, India, Peru, Russia, and Zimbabwe. The study phases consisted of an ethnographic study, pilot studies, an epidemiological study, and a randomized controlled trial. This study concerns findings from the epidemiological data collected at baseline.
The study was conducted in a large, eastern city in China where a STD prevalence of more than 10% had been reported (Chen et al., 2005; Detels et al., 2003). Participants were recruited from 40 food markets. Normally a market has 50–150 stalls, with a total of 150–300 stall-owners and employees. Food market workers in China are often stable migrants and they live in the city on and off throughout their lives. Social activities for them usually center within a few blocks of each market, as workers often live close to work and socialize within that area. There were approximately 150 food markets in the study city (NIMH Collaborative HIV/STD Prevention Trial Group, 2007b). The market selection was based on the size and geographic location of the markets. Only the markets with more than 100 vendors were selected, and we selected markets with sufficient distance separation between each other to minimize contamination. All vendors 18–49 years old were invited to participate in the study with a refusal rate less than 8%.
Data collection commenced after meeting with and obtaining agreements from gatekeepers, primarily government officers and market managers. The purpose of the study and the type of recruitment activities were announced in the market the day before data collection began. Selected participants were transported by van to the Institute of Health Education of the Provincial Center for Disease Control and Prevention (CDC) for behavioral risk assessment and collection of biological specimens, after the administration of informed consent. All participants were paid 20 Yuan (U.S.$2.50) for their participation. The study only used materials and procedures that had been approved by both the UCLA IRB and China CDC IRB.
The survey questionnaire for risk behavior assessment contained questions regarding demographics, health status, health service utilization, sexual behavior, and condom use. The questionnaire was administered using a face-to-face personal interview, with interviewers recording responses on laptop computers. The computer assisted personal interview (CAPI) was developed to automatically incorporate skip patterns and reduce human error.
Participants were tested for chlamydia and gonorrhea using urine specimens collected from men and vaginal swabs collected from women. Following the trial protocol, Trichomonas testing was performed on women only. Venous blood was collected from all participants for testing for syphilis, herpes simplex virus type 2 (HSV-2), and HIV. Participants who had non-viral STDs received treatment and counseling at no cost. HIV-positive participants received treatment and counseling through the local CDC, and HSV-2 positive participants received treatment referrals and counseling. All treatment procedures followed appropriate China CDC guidelines.
Measures
STD diagnoses were obtained from the study laboratory tests for chlamydia, gonorrhea, syphilis, Trichomonas, herpes, and HIV following standardized laboratory protocols. Chlamydia and gonorrhea were tested using polymerase chain reaction. The MRL Diagnostics HSV-2 IgG test was used to identify specimens with positive HSV-2 antibody. HIV testing was performed using EIA or ELISA and repeated with another EIA/ELISA. Positives were confirmed using Western blot analysis. Syphilis testing was performed by rapid plasma reagin and confirmed using the Treponema pallidum particle agglutination test. Vaginal swabs were cultured for Trichomonas vaginalis using the InPouch TV test (Biomed Diagnostics, Santa Clara, CA).
Risky sexual behavior was measured by the combination of several questions. Participants were asked about (1) number of partners in the past 6 months; participants reporting more than one partner were considered as having multiple partners; for those participants with multiple partners, we further queried (2) how many times the participant had sex with each non-primary partner and (3) how many times he/she used condoms within the past 6 months. If the number of times of having sex was greater than the number of times using condoms within the past 6 months with any non-primary sexual partners, the participant was defined as having unprotected sex within the past six months.
Entertainment venue visits, the main predictor of interest, was defined as “having visited karaoke bars, discos, or massage parlors at least once in the past 30 days.” Alcohol use was defined as drinking alcohol at least once a month. Demographic characteristics included respondent’s age, gender, marital status, education, and amount of discretionary income per month.
Data Analysis
All analyses were performed using SAS statistical software. First, descriptive analyses were performed to examine market vendor characteristics as they related to entertainment venue visits. Second, predictors of entertainment venue visits using multiple logistic regression analysis were examined. Last, multiple logistic analysis was conducted to examine associations between unprotected sex, STD diagnosis, and entertainment venue visits, adjusting for significant market vendor characteristics. Multiple logistic regression analyses were stratified by sex because significant differences in entertainment venue visits by sex were observed.
Results
The characteristics of the market vendors by entertainment venue visits are presented in Table 1. About 18% of the respondents reported visiting entertainment venues in the past 30 days. Market vendors visiting entertainment venues were more likely to be male, younger, and single, with higher education and more discretionary money per month. In addition, those visiting entertainment venues were significantly more likely to report alcohol use, multiple sexual partners, and unprotected sex with someone other than their spouse. The relationship between STD diagnosis and visiting entertainment venues was also significant.
Table 1.
Characteristics | Total (n = 4,510) (%) |
Visited entertainment venues |
p | |
---|---|---|---|---|
Yes (n = 787) (%) |
No (n = 3,723) (%) |
|||
Gender | ||||
Male | 47.3 | 26.8 | 73.2 | <.0001 |
Female | 52.7 | 9.0 | 91.0 | |
Age | ||||
25 or younger | 19.1 | 32.1 | 67.9 | <.0001 |
26–30 | 15.9 | 22.6 | 77.4 | |
31–35 | 20.1 | 15.8 | 84.2 | |
36 or older | 44.8 | 10.1 | 89.9 | |
Marital status | ||||
Married/live with partner | 82.4 | 13.6 | 86.4 | <.0001 |
Single/widowed/separated/divorced | 17.6 | 35.4 | 64.6 | |
Education | ||||
No schooling | 8.4 | 1.9 | 98.2 | <.0001 |
Primary school | 37.0 | 9.4 | 90.6 | |
Junior high | 41.7 | 23.4 | 76.6 | |
Senior high | 12.3 | 30.7 | 69.3 | |
College and higher | 0.6 | 44.0 | 56.0 | |
Discretionary money (Yuan) per month | ||||
≤200 | 35.4 | 6.0 | 94.0 | <.0001 |
201–500 | 38.0 | 16.6 | 83.4 | |
501–1000 | 20.1 | 32.9 | 67.1 | |
≥1000 | 6.5 | 37.3 | 62.7 | |
Alcohol use (at least once a month) | ||||
Yes | 41.2 | 28.1 | 71.9 | <.0001 |
No | 58.8 | 10.0 | 90.0 | |
More than one sexual partner in the past 6 months | ||||
Yes | 5.4 | 70.0 | 30.0 | <.0001 |
No | 94.6 | 13.9 | 86.1 | |
Any unprotected sex with non-spouse in past 6 months | ||||
Yes | 7.5 | 56.5 | 43.5 | <.0001 |
No | 92.5 | 14.3 | 85.7 | |
Positive STD diagnosis | ||||
Yes | 16.6 | 20.5 | 79.5 | .0164 |
No | 83.5 | 16.9 | 83.1 |
Following the analysis of respondent characteristics by entertainment venue visits, we examined the associations by using multiple logistic regressions (Table 2). Consistent with the bivariate analysis, significant predictors of entrainment venue visits were: being male (OR = 2.06; p < .001); age 30 years or younger (OR = 1.40; p < .0001); single (OR = 1.64; p < .0001); higher education (OR = 2.36; p < .0001); higher discretionary income (OR = 3.55; p < .0001); and alcohol use in the past 30 days (OR = 2.12; p < .0001).
Table 2.
Predictors | Odds ratio | 95% Confidence intervals |
||
---|---|---|---|---|
Lower | Upper | p | ||
Male | 2.06 | 1.68 | 2.52 | <.0001 |
Age (30 years or younger) | 1.40 | 1.14 | 1.73 | <.0001 |
Single | 1.64 | 1.30 | 2.06 | .002 |
Education (>primary school) | 2.36 | 1.93 | 2.88 | <.0001 |
Money (>300 Yuan) | 3.55 | 2.95 | 4.26 | <.0001 |
Alcohol use | 2.12 | 1.75 | 2.57 | <.0001 |
The main dependent variables consisted of behavioral (reporting unprotected sex in the past 6 months) and biological (positive STD diagnosis) outcomes. We examined the associations between entertainment venue visits and risky sex, adjusting for significant market vendor profiles. Given that we observed significant gender differences on entertainment venue visits, we examined the associations stratified on gender (Table 3).
Table 3.
Outcomes | Unprotected sex |
Positive STD diagnosis |
||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Males (n = 2,132) |
Females (n = 2,378) |
Males (n = 2,132) |
Females (n = 2,378) |
|||||||||||||
Odds ratio |
95% C.I. |
Odds ratio |
95% C.I. |
Odds ratio |
95% C.I. |
Odds ratio |
95% C.I. |
|||||||||
Predictors | Lower | Upper | p | Lower | Upper | p | Lower | Upper | p | Lower | Upper | p | ||||
Age (30 years or younger) |
0.83 | 0.55 | 1.26 | ns | 2.49 | 1.33 | 4.66 | .0043 | 0.68 | 0.47 | 0.99 | .0414 | 0.88 | 0.69 | 1.13 | ns |
Single | 5.66 | 3.81 | 8.41 | <.0001 | 3.22 | 1.70 | 6.10 | .0003 | 1.10 | 0.73 | 1.65 | ns | 0.54 | 0.35 | 0.83 | .0048 |
Education (>primary school) |
0.85 | 0.60 | 1.19 | ns | 0.94 | 0.52 | 1.71 | ns | 0.83 | 0.62 | 1.12 | ns | 0.73 | 0.59 | 0.90 | .0041 |
Money (>300 Yuan) |
2.32 | 1.68 | 3.19 | <.0001 | 1.16 | 0.68 | 1.99 | ns | 1.18 | 0.88 | 1.57 | ns | 1.15 | 0.94 | 1.42 | ns |
Alcohol use | 1.05 | 0.76 | 1.46 | ns | 2.32 | 1.34 | 4.01 | .0026 | 1.07 | 0.80 | 1.44 | ns | 1.27 | 0.98 | 1.63 | .0673 |
Visited entertainment venues |
4.25 | 3.15 | 5.73 | <.0001 | 1.95 | 0.99 | 3.81 | .0523 | 1.87 | 1.37 | 2.55 | <.0001 | 1.70 | 1.21 | 2.37 | .0019 |
Among male market vendors, those who were single (OR = 5.66; p < .001) and those who reported more discretionary income (OR = 2.32; p < .0001) were significantly more likely to report engaging in unprotected sex with someone other than a spouse in the past 6 months. Among female market vendors, those who were younger (OR = 2.49; p = .0043), single (OR = 3.22; p = .0003), and those who reported alcohol use (OR = 2.32; p = .0026) were significantly more likely to report engaging in unprotected sex with a non-spouse in the past 6 months. Entertainment venue visits were significant predictors of unprotected sex for both male (OR = 5.66; p < .0001) and female (OR = 1.95; p = .05) market vendors. For men, those who reported visiting entertainment venues in the past 30 days were more than five times more likely to report unprotected sex than those who did not report such visits.
Entertainment venue visits were also significant predictors of positive STD diagnosis for both male (OR = 1.87; p < .0001) and female (OR = 1.70; p = .0019) respondents. Among men, those aged 30 years or younger were less likely to have a positive STD diagnosis (OR = 0.68; p = 0.0414). Among women, those who were single (OR = 0.54; p = .0048) with higher education (OR = 0.73; p = .0041) were significantly less likely to have a positive STD diagnosis. Gender differences were observed when STD diagnosis was examined in the context of marital status and education.
Discussion
Female sex workers in entertainment venues are an important “bridge population” who transmit HIV/STD between high-risk groups and the general population through unprotected sex. The danger that the HIV/STD epidemic could make a quick inroad to the general population through sexual transmission underscores the need to study individual characteristics and structural factors attributed to such transmission. In China, entertainment venues and their associated commercial sex are considered relevant to the spread of STDs, including HIV/AIDS (Chen et al., 2005; Fang et al., 2007; Hesketh, Zhang, & Qiang, 2005). Given that commercial sex in China is illegal, it is very difficult to implement prevention efforts directly targeting the clients of commercial sex workers. Nearly 27% of men and 9% of women in our sample reported entertainment venue visits in the past 30 days, and their patronage of entertainment venues did increase the probability of unprotected sexual practices and STD infection. Understanding entertainment venue visitation, patrons’ individual characteristics, and their relationships with unprotected sex and STD infection can be a proxy for measuring risky sexual behavior and commercial sex in China.
Data showed that having more discretionary income was the most significant predictor of visiting entertainment venues, followed by higher education, alcohol use, youth, being male, and being single. These results were consistent with findings from previous studies that unmarried men and women earning a high income were likely to engage in commercial sex (Parish et al., 2003; Wang et al., 2007). Despite the lack of general profiles of those visiting entertainment venues, there is little doubt that financial stability plays a role. With the rapid economic development that has occurred in China over the past two decades, behavioral norms have changed, including consumption and leisure activity patterns. The marketplace provides opportunities to buy virtually anything for people with higher incomes, and being able to do so becomes a symbol of success. As discretionary money becomes available to be drawn into the world of entertainment, risk behaviors associated with commercial sex and substance use also become inevitable (Smith, 2005).
For both men and women, visiting entertainment venues was correlated with both unprotected sex and STD infection. Other factors revealed that male market vendors having more discretionary money were more likely to engage in unprotected sex, but this factor did not necessarily predict STD infections. One explanation could be that higher income not only allows people to visit entertainment venues, where they may engage in risky behaviors, but also provides opportunities to access healthcare and effective treatment. HIV/STD prevention programs need to take these factors into consideration to design messages that specifically target groups with different socioeconomic backgrounds.
Our study investigated gender differences in predicting unprotected sex and STD infections. For instance, having discretionary money was a significant predictor of unprotected sex for men, but not for women. It might be because men and women are engaging in different activities in entertainment venue: men are more likely to visit karaoke bars to pay for sex (or at least to increase their chances of a sexual encounter), while women go to venues with groups for karaoke singing and less frequently involve in commercial sex activities. Being younger was associated with unprotected sex for women, but not for men. The most interesting finding was that married women were more likely than their single counterparts to have STD infection, yet marital status was not a significant factor for men. One interpretation is that some married women acquired STDs through their spouses who engaged in high-risk behaviors, which is further complicated by women’s economic dependency on their male counterparts. Furthermore, women with little or no education were associated with STD infection, raising the possibility that women with lower economic status have less power to negotiate safe sex practices with their sexual partners and may become more vulnerable to the infection.
Several limitations must be noted. Data on sexual behavior were from self-reports and subject to social desirability biases. Thus, data on engaging in unprotected sexual activities were likely to be underreported. Since the data were collected in only one geographic region of China and with only market vendors, generalization of findings to other populations is limited. Also, we assessed the visit of multiple types of entertainment venues in a single question, which didn’t allow us to further investigate each of the venues and their different clients and potential relationships to risk behavior. Nonetheless, the study has important implications for prevention and intervention in China, as entertainment venues can clearly be important sites for place-based intervention programs and outreach to the general population. Recently, the Chinese government launched programs to purchase condoms to distribute at entertainment venues at no cost and made the provision of condoms at entertainment venues an official requirement (Wu et al., 2007; Xinhuanet, 2005). Further studies focused on the effectiveness of such efforts and their impacts on visitors’ sexual practices will be needed.
Acknowledgements
This study was funded by NIH/NIMH grant number U10MH61513, which is a five-country Cooperative Agreement being conducted in China, India, Peru, Russia, and Zimbabwe. Each site has selected a different venue and population with which to implement the Community Public Opinion Leader (C-POL) intervention. We thank team members in Fuzhou, Nanjing, and Beijing, China for their support and contributions to this study.
Contributor Information
Li Li, Semel Institute for Neuroscience and Human Behavior, Center for Community Health, University of California at Los Angeles, Los Angeles, CA, USA.
Zunyou Wu, National Center for AIDS/STD Control and Prevention, Chinese Centers for Disease Control and Prevention, Beijing, China.
Mary Jane Rotheram-Borus, Semel Institute for Neuroscience and Human Behavior, Center for Community Health, University of California at Los Angeles, Los Angeles, CA, USA.
Jihui Guan, Fujian Center for Disease Control and Prevention, Fuzhou, China.
Yueping Yin, National STD Reference Laboratory, Nanjing, China.
Roger Detels, School of Public Health, University of California at Los Angeles, Los Angeles, CA, USA.
Sheng Wu, Semel Institute for Neuroscience and Human Behavior, Center for Community Health, University of California at Los Angeles, Los Angeles, CA, USA.
Sung-Jae Lee, Semel Institute for Neuroscience and Human Behavior, Center for Community Health, University of California at Los Angeles, Los Angeles, CA, USA.
Haijun Cao, School of Public Health, University of California at Los Angeles, Los Angeles, CA, USA.
Chunqing Lin, School of Public Health, University of California at Los Angeles, Los Angeles, CA, USA.
Keming Rou, National Center for AIDS/STD Control and Prevention, Chinese Centers for Disease Control and Prevention, Beijing, China.
Zhendong Liu, National Center for AIDS/STD Control and Prevention, Chinese Centers for Disease Control and Prevention, Beijing, China.
References
- Burton S. The sex revolution hits China. Time. 1988 September 12;:65. [Google Scholar]
- Chen XS, Yin YP, Liang GJ, Gong XD, Li HS, Poumerol G, et al. Sexually transmitted infections among female sex workers in Yunnan, China. AIDS Patient Care and STDs. 2005;19:853–860. doi: 10.1089/apc.2005.19.853. [DOI] [PubMed] [Google Scholar]
- China Ministry of Health. Joint United National Program on HIV/AIDS. World Health Organization . 2005 Update on HIV/AIDS epidemic and response in China. UN Group on HIV/AIDS and China Ministry of Health; Beijing, China: 2006. [Google Scholar]
- China Ministry of Health. UNAIDS . A joint assessment of HIV/AIDS prevention, treatment and care in China. UN Group on HIV/AIDS and China Ministry of Health; Beijing: 2003. [Google Scholar]
- Cohen MS, Henderson GE, Aiello P. Successful eradication of sexually transmitted diseases in the People’s Republic of China: implications for the 21st century. Journal of Infectious Diseases. 1996;174:S223–S229. doi: 10.1093/infdis/174.supplement_2.s223. [DOI] [PubMed] [Google Scholar]
- Davis N. Prostitution: An international handbook on trends, problems, and policies. Greenwood Press; London: 1993. [Google Scholar]
- Detels R, Wu Z, Rotheram MJ, Li L, Guan J, Yin Y, et al. Sexually transmitted disease prevalence and characteristics of market vendors in eastern China. Sexually Transmitted Diseases. 2003;30:803–808. doi: 10.1097/01.OLQ.0000086607.82667.CF. [DOI] [PubMed] [Google Scholar]
- Ding Y, Detels R, Zhao Z, Zhu Y, Zhu G, Zhang B, et al. HIV infection and sexually transmitted diseases in female commercial sex workers in China. Journal of Acquired Immune Deficiency Syndromes. 2005;38:314–319. [PubMed] [Google Scholar]
- Fang XY, Li XM, Yang HM, Hong Y, Zhao R, Dong BQ, et al. [Retrieved March 29, 2007];Profile of female sex workers in a Chinese county: Does it differ by where they came from and where they work? World Health & Populations. 2007 February; doi: 10.12927/whp.2007.18695. from http://www.longwoods.com/product.php?productid=18695. [DOI] [PMC free article] [PubMed]
- Gil VE, Wang MS, Anderson AF, Lin GM, Wu ZO. Prostitutes, prostitution and STD/HIV transmission in mainland China. Social Science & Medicine. 1996;42:141–152. doi: 10.1016/0277-9536(95)00064-x. [DOI] [PubMed] [Google Scholar]
- Hesketh T, Zhang J, Qiang DJ. HIV knowledge and risk behaviour of female sex workers in Yunnan Province, China: Potential as bridging groups to the general population. AIDS Care. 2005;17:958–966. doi: 10.1080/09540120500100676. [DOI] [PubMed] [Google Scholar]
- Huang HH. The particularity of “Karaoke” at the leisure musical life in modem time. Journal of Guangdong Education Institute. 2003;23:82–85. [Google Scholar]
- Li Y, Li WJ, Lin P, Mai RJ, Liu YY, Yang LL, et al. A study of population size estimation of female sex workers in a city in Guangdong province. South China Journal of Preventive Medicine. 2006;32:18–20. [Google Scholar]
- Liao S, Schensul J, Wolffers I. Sex-related health risks and implications for interventions with hospitality women in Hainan, China. AIDS Education and Prevention. 2003;15:109–121. doi: 10.1521/aeap.15.3.109.23834. [DOI] [PubMed] [Google Scholar]
- NIMH Collaborative HIV/STD Prevention Trial Group Methodological overview of a five-country community-level HIV/sexually transmitted disease prevention trial. AIDS. 2007a;21(Suppl 2):S3–S18. doi: 10.1097/01.aids.0000266453.18644.27. [DOI] [PubMed] [Google Scholar]
- NIMH Collaborative HIV/STD Prevention Trial Group Selection of populations represented in the NIMH Collaborative HIV/STD Prevention Trial. AIDS. 2007b;21(Suppl 2):S19–S28. doi: 10.1097/01.aids.0000266454.26268.90. [DOI] [PubMed] [Google Scholar]
- Pan SM. Three ‘red light districts’ in China. In: Micollier E, editor. Sexual cultures in East Asia: The social construction of sexuality and sexual risk in a time of AIDS. Routledge Curzon; New York: 2004. pp. 23–53. [Google Scholar]
- Pan SM, Parish W, Wang A, Laumann E. Sexual behaviors and sexual relationships in contemporary China. Social Science Manuscripts Publisher; Beijing: 2004. [Google Scholar]
- Parish WL, Laumann EO, Cohen MS, Pan S, Zheng H, Hoffman I, et al. Population-based study of chlamydial infection in China: A hidden epidemic. Journal of the American Medical Association. 2003;289:1265–1273. doi: 10.1001/jama.289.10.1265. [DOI] [PubMed] [Google Scholar]
- Qu S, Liu W, Choi KH, Li R, Jiang D, Zhou Y, et al. The potential for rapid sexual transmission of HIV in China: Sexually transmitted diseases and condom failure highly prevalent among female sex workers. AIDS and Behavior. 2002;6:267–275. [Google Scholar]
- Rogers SJ, Ying L, Xin YT, Fung K, Kaufman J. Reaching and identifying the STD/HIV risk of sex workers in Beijing. AIDS Education and Prevention. 2002;14:217–227. doi: 10.1521/aeap.14.3.217.23892. [DOI] [PubMed] [Google Scholar]
- Smith CJ. Social geography of sexually transmitted diseases in China: Exploring the role of migration and urbanization. Asian Pacific Viewpoint. 2005;46:65–80. [Google Scholar]
- Wang B, Li X, Stanton B, Fang X, Lin D, Mao R. HIV-related risk behaviors and history of sexually transmitted diseases among male migrants who patronize commercial sex in China. Sexually Transmitted Diseases. 2007;34:1–8. doi: 10.1097/01.olq.0000222668.95038.03. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wei SB, Chen ZD, Zhou W, Wu FB, Li SP, Shan JG. A study of commercial sex and HIV/STI-related risk factors among hospitality girls in entertainment establishments in Wuhan, China. Sexual Health. 2004;1:141–144. doi: 10.1071/sh03011. [DOI] [PubMed] [Google Scholar]
- Wu Z, Sullivan SG, Wang Y, Rotheram-Borus MJ, Detels R. Evolution of China’s response to HIV/AIDS. Lancet. 2007;369:679–690. doi: 10.1016/S0140-6736(07)60315-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xia G, Yang X. Risky sexual behavior among female entertainment workers in China: Implications for HIV/STI prevention intervention. AIDS Education and Prevention. 2005;17:143–156. doi: 10.1521/aeap.17.3.143.62904. [DOI] [PubMed] [Google Scholar]
- Xinhuanet [Retrieved March 20, 2007];China to distribute 305M condoms to hotels, entertainment venues at no cost. 2005 September 17; from http://www.medicalnewstoday.com/medicalnews.php?newsid=30727.
- Xinhua News Agency [Retrieved March 20, 2007];China to crack down on drug use in entertainment venues. 2005 September 14; from http://www.english.people.com.cn/200509/15/eng20050915_208549.html.
- Xinhua News Agency [Retrieved March 20, 2007];China’s entertainment venues checked for drugs, prostitutes and gangsters. 2006a March 16; from http://www.english.people.com.cn/200603/16/eng20060316_250905.html.
- Xinhua News Agency [Retrieved March 20, 2007];Beijing entertainment venues to be drug free before 2008. 2006b August 30; from http://www.china.org.cn/english/government/179512.htm.
- Xu SL, Yan JS, Chen L, Yan PP, Chen HH, Liu JX, et al. Epidemiological study of HIV-related risk behaviors in high risk population in Fuzhou City. Chinese Journal of STD/AIDS Control and Prevention. 2001;7:220–222. [Google Scholar]
- Yang H, Li X, Stanton B, Chen X, Liu H. HIV-related risk factors associated with commercial sex among female migrants in China. Health Care for Women International. 2005;26:134–148. doi: 10.1080/07399330590905585. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yang H, Li X, Stanton B, Fang D, Mao R, Liu H, et al. Workplace and HIV-related sexual behaviours and perceptions among female migrants workers. AIDS Care. 2005;17:819–833. doi: 10.1080/09540120500099902. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yang X, Xia G. Gender, work, and HIV risk: determinants of risky sexual behavior among female entertainment workers in China. AIDS Education and Prevention. 2006;18:333–347. doi: 10.1521/aeap.2006.18.4.333. [DOI] [PubMed] [Google Scholar]
- Yuan Y. Getting access to sex workers in China. China Blind Language Publisher; Beijing: 2003. [Google Scholar]
- Zhao P, Yu H. Study on sexual and drug use behaviors of high risk among sex workers in entertainment establishments in Shanghai. Zhonghua Liuxing Bingxue Zazhi. 2001;22:341–343. [PubMed] [Google Scholar]