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The prevalence of HIV among MSM in China: a large-scale systematic analysis

Meng-Jie Dong, Bin Peng, Zhen-Feng Liu and 5 more

BMC Infectious Diseases · 2019 · CC BY

doi:10.21203/rs.2.9216/v3

Abstract

Background. The prevalence of HIV among men who have sex with men (MSM) has become a significant public health challenge. The aim was to comprehensively estimate the national prevalence of HIV among MSM and its time trends through a large-scale systematic analysis.

Methods. Systematic search of Cochrane Library, PubMed, EMBASE, CNKI, VIP, and Wanfang Data databases without language restriction for studies on the prevalence of HIV among MSM published before Dec.31, 2018. Studies were eligible for inclusion if they were published in the peer-reviewed literature and used validated assessment methods to assess the prevalence of HIV among MSM. Estimates were pooled using random-effects analysis.

Results. Data were extracted from 355 cross-sectional studies (571,328 individuals) covered 59 cities from 30 provinces and municipalities of China. The overall national prevalence of HIV among MSM from 2001 to 2018 was estimated to be 5.7% (95% CI: 5.4–6.1%), with high between-study heterogeneity (I2 = 98.0%, P < 0.001). Our study showed an increased tendency in the HIV prevalence as time progressed by meta-regression analysis (I2 = 95.9%, P < 0.0001). HIV prevalence was the highest in those aged 50 years and older with HIV prevalence of 19.3% (95%CI: 13.1-27.4%, N = 13). HIV was more prevalent in the illiterate population (16.8%), than in those who had received an education. Although the internet was a major venue for Chinese MSM seeking male sex partners (35.6, 95%CI: 32.3-39.9%, N = 101), seeking MSM in bathhouses/saunas had the highest associated prevalence of HIV (13.4, 95%CI: 10.3-17.1%, N = 22). The HIV prevalence among MSM varied by location: compared with other regions in China, HIV was highly prevalent among MSM in the southwest (10.7, 95%CI: 9.3-12.2%, N = 91). Compared to participants who sometimes or always used condoms, participants who had never used a condom in the past 6 months had a higher risk of HIV infection, with odds ratios of 0.1 (95%CI: 0.08-0.14).

Conclusions. Our analysis provided reliable estimates of China’s HIV burden among MSM, which appears to present an increasing national public health challenge. Effective government responses are needed to address this challenge and include the implementation of HIV prevention.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 21, 2026. Paragraph numbers are ours, so an answer can point at one.

Background

Since the late 1990s, increasing numbers of men who have sex with men (MSM) have been diagnosed with HIV in the majority of countries with large and visible MSM communities. Chinese scientists began studying HIV-related risk behaviours among MSM in 1993, but epidemiological studies assessing the prevalence of HIV were not conducted until 2000. A growing body of evidence from different time periods and locations has shown that MSM play an increasingly important role in China’s HIV/AIDS epidemic. A report by the Chinese Ministry of Health estimated that approximately 780,000 people were estimated to be living with HIV/AIDS in China in 2011, and 17.4% of the estimated HIV/AIDS cases were attributable to male-to-male sexual contact. Recent national reports showed that HIV transmission among MSM accounted for 21.4 to 23.4% of the newly identified HIV/AIDS cases in some areas in China.

Estimates of the overall HIV prevalence among MSM in China have relied on several different reviews which conducted from 2001 to 2009, 2003 to 2009, and 2005 to 2010; these reviews found that MSM formed a high-risk population for HIV infection in China, with an overall prevalence ranging from 2.5 to 6.5%. Furthermore, these reviews identified a rising trend in the national HIV prevalence, with an estimated 0.9% increase in HIV infection among MSM in China from 2003 to 2008. However, our understanding of the nationwide HIV epidemiology remains incomplete. A wide range of demographic, behavioural, and societal factors that predict HIV acquisition among MSM in China have been identified. However, to the best of our knowledge, the relationships between these factors (including age, education, sex partners, commercial sex, and unprotected sexual intercourse) and the prevalence of HIV infection among MSM have not been reported based on all available data from China.

An accurate understanding of the HIV prevalence among MSM is critical for tailoring interventions and evaluating previously established programmes and services. The purpose of this study was to perform a large-scale systematic analysis to examine HIV epidemiology among MSM in China based on studies published up to Dec.2018.

Search strategy

A comprehensive literature search was conducted in the following databases to identify studies published up to Dec.31, 2018: Cochrane Library, PubMed, EMBASE, Chinese National Knowledge Infrastructure (CNKI), VIP, and Wanfang Data. Two independent investigators performed the searches in parallel. We used combinations of keywords and medical subject heading (MESH) terms as follows: (“HIV” or “AIDS” or “human immunodeficiency virus” or “acquired immunodeficiency syndrome”) and (“homosexual” or “gay” or “men who have sex with men” or “MSM” or “bisexual” or “Tongzhi” [the Chinese term referring to homosexual men]) and (“China” or “Chinese”) and (“prevalence” or “infection” or “associated risk” or “infection status” or “epidemic status” or “surveillance”). We also searched relevant reference lists and relevant journals manually, which were not mentioned in the introduction, and corresponded with authors to obtain the original data if necessary. We did not include grey literature (i.e., literature that had not been formally published). This systematic analysis adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

Inclusion and exclusion criteria

Studies with the following criteria were included to assess the prevalence of HIV among MSM: (i) studies involving MSM in mainland China; (ii) studies that required both presumptive and confirmatory tests for the HIV diagnosis; (iii) the English version of a study if the study was reported in both Chinese and English; and (iv) the comprehensive article (i.e., prevalence of HIV and its possible related risk factors) if multiple publications reported results based on the same research. Data from eligible studies were extracted by two reviewers independently.

We excluded duplicate studies within and between databases, studies with no numerical estimates, studies of Chinese populations conducted outside of mainland China, reviews, and viewpoints. We excluded animal studies and studies with a self-reported HIV status unconfirmed by tests. Studies with a sample size less than 30 were excluded. Disagreements were resolved by discussion. If no consensus could be reached, the issue was referred to a third author.

Quality assessment

The quality assessment tool for systematic reviews of observational studies (QATSO) was selected to evaluate the quality of the included studies, and a validated quality assessment tool was used to assess HIV prevalence/risk behaviours among MSM. Items were scored as 0, 1, and NA, representing “no,” “yes,” and “not applicable,” respectively. The total score of each eligible study had to be above 33% (scores of 0 to 33%, 33 to 66%, and 67 to 100% represented “poor” “satisfactory,” and “good” quality studies, respectively.)

Statistical analysis

We calculated the prevalence estimates with logit transformation, and a systematic analysis was conducted to calculate the pooled estimates following the methods suggested by DerSimonian and Laird. Clopper-Pearson confidence intervals were calculated for all prevalence estimates. An analysis of heterogeneity was performed using Cochran’s Q test (p < 0.10 indicating significant heterogeneity) and the I2 statistic. I2 values of 25, 50, and 75% represented low, moderate, and high degrees of heterogeneity, respectively. If the data were heterogeneous, random-effects models were used for the systematic analysis.

Many factors can affect homogeneity between studies. Therefore, we performed subgroup analyses to explore the potential sources of between-study heterogeneity. We calculated the prevalence of HIV among MSM by age, education, marital status, geographical distribution, occupation, gender of first sexual partner, and condom use in the last 6 months. Potential publication bias was assessed for significance using Begg’s test and was graphically explored by generating funnel plots.

All analyses were performed using R version 3.2.2.

Results

As shown in Fig. 1, a total of 3368 relevant articles were identified, of which 760 were further screened, and 355 cross-sectional studies (51 published in English and 304 in Chinese, which included 571,328 MSM) were finally included in the systematic analysis. The characteristics of the included studies are summarized in Table 1.

Characteristics of the selected studies

The 355 eligible articles included in this study covered 59 cities from 30 provinces and municipalities of China (no studies were from Tibet). The sample size of the selected studies ranged from 30 to 1,498,841 (mean 4373, 95% confidence interval [CI]: 455 – 8290). Among the 355 selected articles, 6 reported results for multiple study sites, and 79 reported HIV prevalence estimates for more than one time period, resulting in a total of 581 HIV prevalence estimates. The first included study was reported in 2001, with an HIV prevalence of 1.31%, and the studies provided overall estimates of the HIV prevalence among MSM in China from 2001 to 2018.

The sampling methods varied, with 123 studies using snowball sampling, 39 studies using respondent-driven sampling (RDS), 82 studies sampling from time-venue, 39 studies using multiple recruitment methods, and 11 applying convenience sampling methods. The analysed data indicated that the largest proportion (35.6, 95% CI: 32.3-39.9%) searched for sexual partners on the internet; among the other locations, 25.9% (95% CI: 22.4-27.0%) searched at bars/night clubs/tearooms, 13.2% (95% CI: 12.4-14.5%) searched at public bathhouses/saunas, and 12.4% (95% CI: 10.9-14.3%) searched at parks.

We found a publication bias, the problem that results from systematic differences between the results of all the completed studies on a topic and the results of the subset of those studies that are published, across the studies reporting the HIV prevalence (t = − 4.12, p = 0.0011) (Fig. 2), which must be taken especially seriously, as it presents perhaps the greatest threat to the validity of this method.

Study quality assessment

In the quality assessment, 214 of the included studies were considered “good” quality (values between 67 and 100%), 141 were considered “satisfactory” (values between 33 and 66%), and none were considered “poor” (values between 0 and 33%).

Demographic information

The demographic characteristics are detailed in Table 1. Most participants (68.7%) were single, although 22.3% had married a woman, 2.5% were cohabiting with their same-sex partner, and 5.0% were divorced or widowed. The sexual behaviour data indicated that 58.9% exclusively had sex with men, 33.8% had sex with both men and women, 2.8% were heterosexual, and 5.7% were undetermined.

Prevalence of HIV infections among MSM

Overall, the national HIV prevalence among MSM from 2001 to 2018 was 5.7% (95% CI: 5.4–6.1%, N = 355), with study prevalence rates ranging from 0% (95% CI: 0.1-2.5%) to 22.91% (95% CI: 18.1-28.3%). Substantial heterogeneity existed between the studies (p for Q test, p < 0.0001; I2 = 98.0%).

Chronological prevalence of HIV infections among MSM

Based on the study years selected for our investigation, we estimated chronological prevalence of HIV in China by meta-regression analysis (I2 = 95.9%, P < 0.001), demonstrating an increased tendency as time progressed (Fig. 3).

Relationships between HIV prevalence and age, education, marital status, occupation, ethnicity, and sexual debut partner

Table 2 shows the age-specific prevalence of HIV. For each 10-year increase in age, the prevalence of HIV also increased from 4.6% in people aged < 20 years to 7.2% in people aged 20-29 years to the highest prevalence (19.3%) in those aged > 50 years.

The prevalence of HIV decreased with increasing years of education, with a prevalence in the illiterate group of 16.8% (95% CI: 6.4-37.3%), which was higher than the prevalence rate among those who had received an education. Of the assessed occupations (including teacher, office staff, farmer, service business employee, unemployed and job-seeking, and worker), the prevalence of HIV was highest among farmers at 14.8% (95% CI: 3.8-43.2%).

The prevalence rates of HIV by sexual orientation were 7.0, 6.1, 7.5, and 7.6% for the homosexual, bisexual, heterosexual, and undetermined groups, respectively. Although the internet was a major venue for seeking male sex partners among Chinese MSM (35.6, 95% CI: 32.3-39.9%, N = 101), MSM seeking male sex partners in bathhouses/saunas had the highest prevalence of HIV (13.4, 95% CI: 10.3-17.1%, N = 22).

The odds ratio (OR) of HIV for those whose first sexual encounter was with a male compared to those with a first sexual encounter with a female was 0.6 (95% CI: 0.5-0.7), suggesting that in China, MSM with a female sexual debut partner had a higher HIV prevalence than those with a male sexual debut partner. Drug use was not a significant contributor to HIV transmission among Chinese MSM (OR: 1.14, 95% CI: 0.31-4.21).

Geographical characteristics of the HIV prevalence

To determine the geographical characteristics of the HIV prevalence in China, we analysed the differences in prevalence by geographical divisions in China based on its provinces or municipalities. The number of studies, total HIV-positive population, and pooled sample size were summarized for the different geographical divisions (Fig. 4).

Overall, the highest pooled HIV prevalence among MSM was found in southwest China (10.7, 95% CI: 9.3-12.2%, N = 91), in which Chongqing city had the highest HIV prevalence (13.8, 95% CI: 12.8-14.9%, N = 24), followed by east China (6.3, 95% CI: 5.6-7.0%, N = 167), which had a prevalence higher than the national average. The pooled HIV prevalence among MSM in northeast China (4.2, 95% CI: 3.4-5.0%, N = 58), north China (5.2, 95% CI: 4.4-6.1%, N = 66), northwest China (3.7, 95% CI: 3.0-4.5%, N = 57), and south China (5.1, 95% CI: 4.4-5.9%, N = 121) were lower than the prevalence of the country as a whole.

Condom use information (in the last 6 months)

Participants who had engaged in unprotected sex in the past 6 months had a higher risk of HIV infection than those who reported protected sex (either sometimes or always using a condom). The ORs for participants who never used a condom during sex with men, during commercial sex with men, and during sex with a woman in the past 6 months were 0.11 (95% CI: 0.08-0.14), 0.11 (95% CI: 0.09-0.13), and 0.07 (95% CI: 0.03-0.14), respectively.

Study findings

To the best of our knowledge, this study is the first large-scale systematic analysis of the epidemiology of HIV infection among MSM in China up to 2018. The study included 355 eligible studies that covered 59 cities from 30 provinces and municipalities. All the studies were of “satisfactory” or “good” quality, and the results of these studies were heterogeneous. Significant publication bias (Begg’s test, t = − 4.12, p-value = 0.0011) existed across the studies reporting the prevalence of HIV. The national estimate of HIV prevalence among MSM from 2001 to 2018 was 5.7% (95% CI: 5.4–6.1%), with study prevalence rates ranging from 0% (95% CI: 0.1-2.5%) to 22.9% (95% CI: 18.1-28.3%). The prevalence of HIV among MSM increased substantially between 2001 and 2018. These findings might have important policy implications because the prevalence also differed by age, education, occupation, and condom use. The data from this study indicated that the HIV prevalence differed by region, and a high burden of HIV infection was observed among MSM in southwest China, especially in Chongqing city. Although the internet was a major venue used by Chinese MSM to search for male sex partners, MSM who sought partners at bathhouses, saunas, and massage rooms had the highest HIV prevalence. Studies using snowball sampling had a higher prevalence of HIV infection than studies using RDS, convenience sampling, or multiple sampling methods. A possible explanation for this finding is that individuals with high-risk behaviours are more likely to accept HIV testing through snowballing sampling.

The present study provides insights into the national HIV prevalence among MSM over the past 18 years and proposes a suggestion for China’s health department to implement more effective prevention strategies and policies in the future. The national estimate of HIV prevalence in China differed somewhat from those of other countries or regions. For example, the prevalence of HIV among MSM is estimated to be 19% in the United States, 14.2% in Brazil, 3.0% (95% CI: 2.4–3.6) in the Middle East and North African region, 6.56% (95% CI: 5.54-7.57) in eastern Europe and central Asia, 14.74% (95% CI: 14.05-15.42) in south and southeast Asia, and 25.4% in the Caribbean. Our study showed an increased tendency in the HIV prevalence as time progressed (P < 0.001) (Fig. 2). The increasing HIV prevalence may be associated with several factors: 1) the increasing migration for better employment opportunities and living conditions from regions with a high HIV prevalence, such as from southern China or from the countryside, to large cities, which have a relatively open culture and convenient sexual venues (e.g., bars, saunas, parks, and sex clubs.); 2) the gradual changes in attitudes towards sex and increased openness of male homosexuality in China with changes in Chinese society, although homosexuality is still not widely accepted by the general population; and 3) the common occurrence of marriage between MSM and women because MSM might act as a bridge for HIV transmission from other MSM to the general population. Additionally, to some extent, the increased HIV prevalence may be due to an increase in the testing rates because HIV testing among Chinese MSM has increased over the past decade.

HIV prevalence in terms of age

A better understanding of the mechanisms underlying the age-related risks of HIV infection can help address the situation in practice. The findings presented in this article confirmed the notable increase in the HIV prevalence with increasing age in China because HIV was most prevalent in those aged 50 years and older; these results demonstrated a prominent age-dependent increase in HIV. The distribution of HIV cases by age differed somewhat from that of other countries. A higher HIV prevalence was found among MSM aged 15–19 and 20–24 years in the United States and among 15- to 24-year-old MSM in the United Kingdom. The reason for the increasing HIV prevalence in older MSM may be that older MSM have longer durations of exposure to HIV; additionally, unprotected anal intercourse (UAI) is more common among older MSM than in their younger counterparts, who may also have received a higher level of education. Therefore, behavioural scientists and practitioners alike must address the implications of these findings when developing targeted prevention interventions and treatment services for older MSM.

Importantly, the largest subgroup of MSM in this study was those aged 20-29 years (55.3% of the MSM, 95% CI: 52.9-57.6%), which is similar to findings in the literatures. Although younger MSM may be over sampled, the phenomenon should be taken seriously because younger MSM are sexually active, less able than older MSM to negotiate safer sex with their partners and more likely to have multiple sex partners and engage in more complicated sexual networks. Therefore, China may face a widespread HIV epidemic among young MSM if future timely interventions targeting this population are not implemented.

Relationship between HIV prevalence and geographic location, education, sought sexual partners and occupation

The HIV prevalence among MSM varied according to geographic location. For example, there was an extraordinarily high HIV prevalence of MSM in the southwest compared to the other regions of China (southwest China: 10.7%; northwest China: 3.7%; central China: 5.1%; northeast China: 4.2%; north China: 4.7%; and east China: 6.3%). The high HIV prevalence among MSM in the southwest may be due to several factors: 1) the difference in socioeconomic development between the southwest and other regions of China because the southwest region has a lower economic status and its residents have a lower education level; 2) southwest China includes several areas with a high HIV prevalence, such as Chongqing, which is a city that is accepting towards homosexuality and has very open attitudes about sex; and 3) the increased illicit drug use among MSM in southwest China because drug use is a major risk for HIV transmission among MSM and can contribute to the HIV epidemic. Therefore, to better curb the spread of HIV, targeted measures should be adopted that consider the risk profile of MSM in areas of China with a high HIV prevalence.

Our study found that those who had less education, sought sexual partners at bathhouses or saunas, were farmers and were divorced or widowed were more likely to be infected with HIV. Regarding economic considerations, MSM with less education experience a lack of appropriate health messages and support and are more inclined to seek partners at bathhouses, saunas, or massage rooms due to their low costs. The prevalence of HIV among farmers was 14.8%, which was the highest of all occupations examined. One possible explanation for this high prevalence is that farmers have a lower chance of receiving an education than other occupations in China. Yang et al. found that condom use was clearly higher among MSM with a higher level of education, such as college students or teachers, than that among others and that these more educated groups could volunteer to promote HIV intervention efforts and facilitate a reduction in the HIV infection rate among MSM.

HIV prevalence and sexual risk behaviours

Our study indicated that 22.3% of MSM were married to women; these MSM may conceal their sexual orientation due to the traditional values and social stigma present in China, making it unlikely that they can be reached by traditional prevention measures targeting the general MSM population. Although the proportion of divorced or widowed MSM was only 4.6%, the HIV prevalence appeared to be higher (12.8%) in this population than in the single, married, and cohabitating groups. This higher prevalence may be because MSM who are divorced or widowed no longer have access to a legitimate, routine sexual life and are thus more prone to illegal sexual behaviour and have greater exposure to high-risk environments.

Interestingly, HIV knowledge was high in the MSM population (91.1, 95% CI: 89.5-92.4%), but consistent condom use was low, reflecting the complexity of the hypothesis that knowledge transfer and behavioural change are keys to HIV prevention. The study revealed that the rate of consistent condom use was lower when MSM had sex with women (29.6%) than when they had sex with men (41.5% for sex with men and 52.1% for commercial sex with men) over the past 6 months (Table 1). Therefore, MSM are vulnerable to HIV infection from both genders and can serve as a bridge for HIV transmission from one gender to the other. Han et al. reported that MSM who had sex with women were more likely to be married and that once they were HIV carriers, they were likely to exhibit commercial sexual behaviour. This study confirmed that in addition to distribution of accurate and up-to-date information on risky behaviours and effective community-based prevention programmes that make condoms available and accessible, concrete strategies that illustrate and highlight the harm and dangers of not using a condom during penetrative sex need to be implemented to enhance individuals’ motivations to change their behavioural patterns and skills and reduce their HIV risk.

Our data indicated that drug use was not a significant contributor to HIV transmission among Chinese MSM (OR: 1.14, 95% CI: 0.31-4.21), suggesting that drug use did not significantly contribute to overall HIV transmission among MSM. However, the increased illicit drug use among Chinese MSM may perpetuate the HIV epidemic, and this relationship may be similar to those in Western countries where drug use is a major risk for HIV transmission.

Limitations

This systematic analysis had several limitations. First, the scarcity of existing research did not allow for subgroup analyses of HIV prevalence by number of sexual partners or for analyses of the differences in condom use among MSM when purchasing or selling sex. Second, this study represented a wide spectrum of MSM in China; the included studies used snowball sampling, RDS, time venue sampling, convenience sampling, and multiple sampling methods. However, few studies in Jilin province (n = 2) and Tibet (n = 0) were included, which might have affected the regional HIV prevalence among MSM. Finally, significant publication bias (p-value = 0.0011) was observed in our analysis. Differences between sampling methods, sample sizes, study locations, and the quality of studies may explain publication heterogeneity. Therefore, readers should be aware that they may be viewing a biased sample of experimental results and should moderate the strength of the conclusions accordingly. Despite the limitations described above, this study employed strict inclusion criteria and applied a valid search strategy to provide an objective, authentic, and current estimate of HIV in China based on a large sample size.

Conclusions

HIV among MSM is a significant public health challenge in China. Our results showed an increased tendency as time progressed from 2001 to 2018, a higher prevalence of HIV among older MSM than young MSM, and a decreased prevalence with increasing education. These findings illustrate the need for HIV prevention, surveillance, treatment, and intervention strategies among at-risk populations, including evidence-based policy decisions to expand available programmes.

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    Mou C, Wang Q, Zhong Y, Jiang Y, He Z. Correlation between HIV antibody and sexual behaviors of men who have sex with men in Guangzhou in 2010. Nan Fang Yi Ke Da Xue Xue Bao. 2012;32:113-115.

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    Shi XD, Liu SZ, Zhao J. Comparisons of sexual behavor and infection of HIV and syphilis among men who have sex with men in Shenzhen, Guangzhou. S Cn J Prev Med. 2010;36:22-25.

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    Wang WM, Xue LJ, Chen YQ. Syphilis/HIV infection and KAP status among MSM in Kunshan City. Prev Med Trib. 2011;17:396-398.

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    Sun DY, Ma YM, Nie YG, Zhu Q, Wang Z. Study on HIV/HCV and syphilis infection among MSM in two cities. Chin J Pract Med. 2010;37:10-12.

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    Chen JJ, Liu J, Li Y, et al. Survey on HIV/syphilis infection and characteristic of MSM. Chin J AIDS STD. 2011;17:328-331.

    Not in our library

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    He SX, ZHAN HD. Survey on characteristic and infection of HIV/syphilis in Geemu city, Qinghai Province. Qinghai Medicine. 2012;42:87-88.

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    Gong CL, Zhang QH. Results of AIDS monitoring of 252 MSM in Quanzhou city. Cn Trop Med. 2010;10:1496-1497.

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  142. 142.

    Zhang Q, Deng P, Geng YJ. Study on HIV/syphilis infections among men who have sex with men and their behavioral feature. Cn Trop Med. 2012;12:219-220.

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    Pan P, Cai Y, Hong F, et al. Investigation on high risk behavior and HIV/syphilis infection among 675 men having sex with men (MSM) in Shenzhen City. J Pub Health Prev Med. 2012;23:21-23.

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    Cai YM, Hong FC, Feng TJ, Wen LZ, Zhang CL. Distribution characteristics and influencing factors of syphilis among men who have sex with men in Shenzhen. Chin J AID STD. 2013;19:125-126.

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    Wang L, Song W, Wang XL. Survey on the knowledge, high risk behavior and HIV/syphilis infection rate among men who have sex with men of site and online types in Shenyang. Chin J Dis Control Prev. 2010;14:1193-1196.

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    Wang YY, Yang HT, Li SK. Investigation of acquired immunodeficiency syndrome correlated with knowledge, attitude, high risk behaviors and HIV/syphilis infection in MSM population in Shijiazhuang in 2008. Mod Prev Med. 2011;38:3958-3960.

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    Wang YY, Chen JY, Li Y, Gu L, Zhao A. Investigation on AIDS prevalence among men who have sex with men in Lanzhou city. Chin J Nat Med. 2010;12:327-329.

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  148. 148.

    Zhang F, Zhao X, Cao X. Sero-prevalence and correlates of HIV infection among men who have sex with men in Suzhou. Chin J Dis Control Prev. 2011;15:1031-1034.

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    Xu Y, Zhang X, Zhu Z, Pan L, Yu MR. Analyses of the prevalence of HIV infection in MSM in Taizhou city. Jiangsu J Prev Med. 2012;23:50-51.

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  150. 150.

    Wang XD, Ma Y, Yang Y. Study of the prevalence of HIV, syphilis and HCV in MSM in Urumqi. J Dermatol Venereol. 2011;33:104-105.

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  151. 151.

    Liu PL, Yao ZZ, Shi WD, Ding J, Li SL, Chen L, Yang T, Wang X, Zhou W. Epidemiological study on the status of HIV/STD among MSM in Wuhan City. Chin J Dis Control Prev. 2010;14:917-919.

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  152. 152.

    Zhang ZF, Xu N, Zhao CC, Gao XY, Li YZ. Survey on the prevalence of HIV, HCV and syphilis infection from different population in Xining. J Med Pest Control. 2011;27:1017-1018.

    Not in our library

  153. 153.

    Wang ZJ, Sun L, Ma X. Survey on AIDS/STD risk behaviors and prevalence among men who have sex with men in Guangling, Yangzhou. Jiangsu Journal of Preventive Medicin. 2010;21:4-7.

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    Chen KJ, Zhao XY, Chen L, Zou J, Li Q, Teng G, Ding X. Analysis on prevalence of HIV and syphilis and its risk behavior characteristics among men who have sex with men in Yongchuan district of Chongqing. Chongqing Medicine. 2012;41:1730-1733.

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  155. 155.

    Yang GZ, Wang H, Shi JC. Survey of HIV/TP infection of gay in Dali prefecture. Chin J Health Lab Technol. 2011;21:995-996.

    Not in our library

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    Luo H, Mei J, Song L, Lu R, Lu JY, Fu LR, Li XH, Jia MH, Lu L. Comprehensive surveillance on HIV among 1237 men who have sex with men in thirteen cities of Yunnan. Chin J Epidemiol. 2012;33:706-709.

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    Xu J, Han DL, Liu Z, Ma XY, Wang LL, Pang L, Zhang HB, Wu ZY. The prevalence of HIV infection and the risk factors among MSM in 4 cities, China. Chin J Prev Med. 2010;44:975-980.

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    Ding XB, Feng LG, Chen Y, et al. Study on the prevalence and related factors of HIV infection in MSM in a rural country in Chongqing. Chin J Prev Med. 2010;44:273-275.

    Not in our library

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    Ding XB, Feng LG, Xu J, et al. Study on the prevalence of HIV, syphilis, HCV and HSV-II and its associated factors among 743 men who have sex with men in Chongqing. Chin J Dis Control Prev. 2012;14:227-231.

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    Feng LG, Ding XB, JO XU, Ou YL, Xu SM, Zheng JQ, Guo XJ, Yang MF, Liu XP. Study on HIV, syphilis and HCV prevalence and its associated factors among internet MSM comparison to non-internet MSM in Chongqing. J Trop Med. 2010;10:78-82.

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    Guo HJ, Feng D, Yi L, et al. Infection status of HIV, syphilis, HCV among MSM and their behavioral characteristic in Zunyi city. Occup Health. 2012;28:440-441.

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    Wu GF, Shi TT. Survey on HIV, syphilis, and health requirement from 2010 to 2012. Guide Chin Med. 2013;34:570-571.

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  163. 163.

    Chen SX, Zhang ML, Han XM. Study on HIV knowledge and its associated factors among internet MSM in Gaomi from 2011 to 2012. Prev Med. 2013;25:410-411.

    Not in our library

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    Shi YH, Liu L, Liu W, Shu HP. The analysis report of Pingxiang city gay AIDS and venereal disease sentinel surveillance results. J Dis Monit Control. 2014;8:279-281.

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    Tang YL, He FN, Liu J, Kong FY. Analysis on the risk behavior characteristics among men who have sex with men in Jiujiang. S Cn J Prev Med. 2014;40:161-163.

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    Ju CW, Li XH, Ju WL, et al. Analysis of HIV infection and the risk factors among MSM in Guigang. Applied Prev Med. 2014;20:206-211.

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    Jin J, Luo Y, Chen JF, et al. HIV infection status and associated risk factors among men who have sex with men in Hangzhou, Zhejiang. Dis Surveill. 2015;30:639-643.

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    Pan YF, Wang DL, Wang JT. Analysis of samples from different sources in sentinel surveillance among men who have sex with men in Changzhou. Jiangsu J Prev Med. 2015;26:33-36.

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    Zhu C, Hua Y, Chen X, Wang JM. Analysis of HIV infection among 253 men who have sex with men. J Aerosp Med. 2015;26:882-883.

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    Wang SL, Guo NY, Hu XM. HIV infection status and its influencing factors among MSM in Urumqi. Chin Gen Practice. 2015;18:1260-1264.

    Not in our library

  171. 171.

    Zheng LX, Que JC, Chen QJ, Yan JP. Monitoring and analysis of HIV infection and behavior of MSM in Longyan. Chin J Lepr Skin Dis. 2015;3:39-41.

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    Qin Y, Bi XJ, Tang XF, Liu BL, Yang EZ, Tang W. Analysis of HIV infection among men who have sex with men in Hechuan from 2009 to 2013. Med Peop1e. 2014;27:1-2.

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    Ye HS, Guo HG, Li ZM. An analysis on the prevalence of HIV/syphilis infections and the related risk behaviors among 297 men who have sex with men from gay internet community in Zhuhai city. J Diagn Ther Dermatol-Venereol. 2014;21:151-154.

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    Ding W, Zhang YX. Survey on knowledge, attitude and practice about HIV/syphilis among MSM, Qingzhou city, 2013. Prev Med Trib. 2014;20:112-114.

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  175. 175.

    Chen Y, Sun XF, Hu JL, Wang Y. Analysis on the prevalence of HIV and associated risk factors among men who have sex with men in Huaian. Jiangsu Health Care. 2014;16:1-2.

    Not in our library

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    Zhou XH, Yan J, Fei YH, Jiang J. Survey on infection status of HIV, syphilis, HCV among 169 MSM and their behavioral characteristic in Lianshui. Jiangsu Health Care. 2014;16:22-23.

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    Xu YL, Yang XS, Liu KY. Prevalence of and associated factors for HIV and HBV infections among men who have sex with men in Beijing, China. J Capit med Univ. 2014;35:96-100.

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    Ma XY, Mc Farland Willi ZQY. Zhang Q. analysis on trend of HIV prevalence among men having sex with men. Chin J Public Health. 2007;23:1352-1354.

    Not in our library

  179. 179.

    Wang W, Zou YZ, Hao XG. Survey on the prevalence of HIV/syphilis and associated factors among men who have sex with men. Zhejiang Prev Med. 2013;25:43-44.

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  180. 180.

    Yang Y, Xia B. Characteristics of heterosexual behaviors and HIV/syphilis infection among men who had sex with men (MSM) in Chaoyang District, Beijing. Chronic Pathemathol J. 2013:194–6.

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    Zhang X, Zhou J, Huang X, Zhang P, Chen JR, Gu CH. Investigation of HIV infection and SEX behaviors among MSM in Pudong district, 2008-2012. Med Soc. 2013;26(26):51–2.

    Not in our library

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    Wu P. Survey on infection status of HIV, syphilis, HCV among MSM and their behavioral characteristic in Wuxi. Jiangsu Health Care. 2013;15:4-5.

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    Xiao L, Wang B, Wang J, Yu WX. Analysis of HIV, syphilis, HCV infection among men who have sex with men. J Dermatol Venereol. 2013;35:112-118.

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    Li SJ, Li JF, Liu LH, Zhao C, Zhou H. Survey on infection status of HIV/syphilis among 450 MSM in Shijiazhuang. Hebei Med J. 2013;35:129-130.

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    Tan WQ, Zhao JS, Liu ZS, Zheng J, Huang ZL, Chen X. HIV prevalence trend of men who have sex with men from National Sentinel Surveillance in Changsha: 2012~2014. Prac Prev Med. 2015;22:912-914.

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  186. 186.

    Guan W, Zhu Y, Wei Q, Wu X, Li L, Yan H, Yang M, Chen L. Trends on the changing prevalence in patients with early syphilis and HIV infection among men who having sex with men in Nanjing, from 2008 to 2013. Zhonghua Liu Xing Bing Xue Za Zhi. 2015;36:624-628.

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    Jia XW, Luo Q, Wang F, Tang ZM, Sui GZ. Study on HIV infection and HIV knowledge among MSM in Beichuan Qiang Autonomous County, Mianyang city. Prac Prev Med. 2015;27:467-469.

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  188. 188.

    Zhao LH, Jiang A, Zhang YH, Wang XM. Study on incidence of HIV and its influencing factors among MSM in Ningxia. Chin J Venereol. 2015;29:50-52.

    Not in our library

  189. 189.

    Peng T, Peng G, Yang K, Jiang H, Chen H, Tang H, Chu X, Liu C. Recent HIV infection among men who have sex with men in Hubei, 2010-2013. Zhonghua Liu Xing Bing Xue Za Zhi. 2015;36:162-166.

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    Zhu ZP, Zhang M, Liu L, Xu YY, Xu WJ. An analysis of new HIV infection in MSM in Nanjing city in 2013. Chin J AIDS STD. 2015;21:41-43.

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    Mei L, Chen XW, Zhao QY, Han H, Han T. Survey of sexual behavior characteristics, HIV infection status and sexually transmitted disease prevalence among men who have sex with men in Taiyuan, Shanxi, 2013. Dis Surveill. 2014;29:776-781.

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    Feng YJ, Wang L, Wang ZG, He YL, Wang L, Zhang J. The situation and influence factors of HIV/TP/HCV infection in men who have sex with men in Qinhuangdao. Chin J AIDS STD. 2014;20:748-750.

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    Hui S, Li Y, Yan H, Guo W, Tong X, Wang K. HIV incidence and factor related to lost-to-follow-up among men who have sex with men in Harbin, Heilongjiang. Chin J Epidemiol. 2015;36:1381-1383.

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    WP HE, Ye XD, Tang SK, Zhuang JT. The prevalence of HIV and syphilis and related factors among men who have sex with men in Guangzhou. Chin Prev Med. 2015;16:684-688.

    Not in our library

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    Zhao WB, Su QJ, Jiang CH. Prevalence and influencing factors of HIV infection among MSM in An'shan City from 2012 to 2014. Occup Health. 2015;31:3120-3125.

    Not in our library

  196. 196.

    Wang ZH. Survey of HIV infection in men who have sex with men (MSM) in Jinzhou. Chin J Convalescent Med. 2015;24:1220-1222.

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  197. 197.

    Chen SL, Wu WJ. An analysis on HIV infection status and related factors among men who have sex with men. Zhejiang Prev Med. 2015;27:992-998.

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    Wei W, Li LM, Cao WH, Lv JJ, Chu XY. Survey on risk factors of HIV infection among men who have sex with men (MSM) in Haidian district, Beijing. Cap J Public Health. 2015;9:198-202.

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    Zhao YY, Qiu XQ, Cui DY. Analysis of HIV infection and the influencing factors among MSM in Xiangyang. China Trop Med. 2015;15:1083-1085.

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    Liu JH, Yuan ZK, Liao QH, Gong ZH. Analysis on HIV/AIDS sentinel surveillance among the group of men who have sex with men from 2013 to 2014 in Jiangxi Province. Soft Sci Health. 2015;29:576-578.

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    Wu P. Wuxi MSM population of HIV infection situation analysis and intervention methods. World Latest Medicine. 2015;15:55-56.

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  202. 202.

    Luo QS, Zhao J, Chen L, Liu SC, Zhang Y. Prevalence and influencing factors of HIV infection among MSM in Shenzhen. China Trop Med. 2015;15:815-818.

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    Chen CY, Li L, Wang M, Lai XH, Sun YM, Chen JH, Wang T. Analysis of the HIV infection and its related behaviors among men who have sex with men in Zhongshan city (2010-2014). J Pub Health Prev Med. 2015;26:12-15.

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    Tang HL, Hu YQ, Zhang T. A cohort study of new HIV infections among men who have sex with men in Jinhua, Zhejiang Province. Chin Rural Health Serv Admin. 2015;35:477-480.

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    Zhang XX, Xue FH, Yi-hua J, Zeng DF. Surveillance and analysis of HIV/ syphilis among men who have sex with men in Lucheng district during 2011-2013. Chin J Health Lab Tec. 2015;25:1073-1076.

    Not in our library

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    Chen LF, Tang XL, Chen Z. Epidemic situation of HIV/AIDS among men who have sex with men in different places in Sanya. China Trop Med. 2015;15:322-324.

    Not in our library

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    Zhang WY, Zhang RZ, Wang J, et al. HIV infection and its influential factors among men who have sex with men in Kunming. Chin J Dis Control Prev. 2015;19:203-205.

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    Sui DD, Chen SH, Gong YH, Zhong LQ, Zeng Q. HIV/AIDS sentinel surveillance among men who have sex with men in Foshan city, 2009-2013. S Cn J Prev Med. 2015;41:33-36.

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    Ma YM, Li N, Sun DY, Nie YG, Li J, Wang Z. HIV infection status among men who have sex with men in Henan, 2008-2013. Zhonghua Liu Xing Bing Xue Za Zhi. 2015;36:158-161.

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    Xu JL. Prevalence of HIV infection among MSM in Chaoyang city in 2012. Chin J Public Health. 2015;31:118-119.

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  211. 211.

    Chen JJ, Wang YH, Niu JP, Li Y, Gu LP. Epidemiological survey of HIV/AIDS among MSM in Lanzhou in 2006-2013. Chin J Prev Med. 2014;15:649-653.

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    Long QS, Lin P, Li Y, Fu XB, Liu J, Ye R, Li J, Huang H. Prevalence of human immunodeficiency virus and associated risk factors among men who have sex with men in the major regions of Pearl River Delta, from 2009 to 2013. Zhonghua Liu Xing Bing Xue Za Zhi. 2014;35:1227-1230.

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    He SF, Sui YM, Li GY, Ma XY, Lu HY, Zhang G, He X. HIV infection status and its influence factors in men who have sex with men (MSM) in Beijing from 2009 to 2013. Chin J Prev Med. 2014;15:161-164.

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    Yang QW, Jing ZC, Su YY. Prevalence and risk factors of HIV infection in MSM population in Mengzi, Yunnan. Chin J Health Educ. 2014;30:716-719.

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    Jin Y, Li JZ, Hu YX, Zhu YW, Xu LF, Yang H. HIV infection status and related risk factors in men who have sex with men in Jinan, Shandong. Dis Surveill. 2014;29:638-642.

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    Li J, Yu AL, Yang CM, Wang B, Yang MY, Meng L. Situation and correlated behavior of HIV infection among currently married MSM in Gansu province. Zhonghua Liu Xing Bing Xue Za Zhi. 2014;35:809-811.

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    Tao LD, Gao Y, Shi L. Epidemiological analysis of HIV/AIDS and syphilis in 801 MSM in Chengguan District of Lanzhou. Bull Dis Control Prev. 2014;29:10-12.

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    Zhao LH, Zhang YH, Wang XM, Ma GM. An analysis on epidemic trend of HIV/AIDS and sexual behavior characteristics among MSM from 2008 to 2012 in Yinchuan city. Chongqing Medicine. 2014;43:2629-2631.

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    Wang Y, LL LI, Xu J, Li ZJ, Zhang GG. A cohort study of new HIV infections among men who have sex with men in Mianyang city, Sichuan Province of China. Chin J Viral Dis. 2014;4:218-225.

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    Fu ZH, Zhao XP, Cao XP, Zhao YQ, Zhang FX, Shao MC. HIV incidence among men who have sex with men in Suzhou city: a cohort study. Chin J Public Health. 2014;30:726-728.

    Not in our library

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    Zhao LY, Zhao N, Zhang HY. A survey on current status of HIV and syphilis infection among men who have sex with men. Chin Prev Med. 2014;15:253-255.

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    Chen Q, Gui Y, Sun YM, Li Y, Zhang Q, Su XL, Lu HY. HIV infection and syphilis among men who have sex with men in Beijing: a survey in 2012. Chin J Dermatol. 2014;47:349-350.

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    Wei XD, Sui D, Yin H. A survey on status of HIV and risk factors among men who have sex with men in Anshan from 2009 to 2011. Pract Prev Med. 2014;21:565-566.

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    Li DM, Ge L, Wang L, Guo W, Ding Z, Li P, Cui Y. Trend on HIV prevalence and risk behaviors among men who have sex with men in China from 2010 to 2013. Zhonghua Liu Xing Bing Xue Za Zhi. 2014;35:542-546.

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    Zhong F, Xu HF, Qin FJ, Cheng WB, Wang M, Ling L. Analysis of HIV prevalence among men who have sex with men in Guangzhou from 2000 to 2010. J Trop Med. 2014;14:353-357.

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    Ouyang L, Wu GH, Zhou Y, Zheng JQ, Zhou QH. Sex behaviors and HIV infection status among men who have sex with men in Chongqing, 2010-2013. Dis Surveill. 2014;29:124-129.

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    Sun XH, Li XP, Hang XP, Wang Y, Wang P. Investigation on male behavior of Qingyang city crowd HIV/syphilis infection status and influencing factors. Chin J Derm Venereol. 2014;28:165-167.

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    Ma L, Zhou J, Yan F, Qin O, Zhu J, Li J. An analysis of HIV/syphilis infection among men who have sex with men in Guiyang. Chin J Derm Venereol. 2014;28:46-49.

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    Zhao ZJ, Wan YZ, Zhou L, Li DJ, Chang BL. HIV/AIDS sentinel surveillance in men who have sex with men in Dalian, Liaoning, 2009-2012. Dis Surveill. 2014;29:41-43.

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    Shen L, Mao LX, Liu XX, Wang T, Wu X, Yang J. Analysis of HIV, HBV, HCV and syphilis infection among men who have sex with men in Zhenjiang in 2012. Chin J Health Lab Tec. 2014;24:120-121.

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    Bai Y, Li MQ, Tan LJ. Analysis of the result of HIV/AIDS surveillance among men who have sex with men in Liuzhou city from 2007 to 2011. Occup Health. 2013;29:3334-3335.

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    Zhang X, Cai YM, Song YJ. Prevalence of HIV and syphilis infection among 502 men who have sex with men in Shenzhen. China Trop Med. 2013;13:1500-1507.

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    Min XD, Wang J, Zhang RZ, et al. HIV prevalence and influencing factors among MSM in Kunming city in 2012. Chin J Public Health. 2013;29:1729-1731.

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    QI X, Xu J, Zhang Z, Li SM, Xiao D. Prevalence and incidence of HIV and syphilis among men who have sex men (MSM) in Beijing. Chin Prev Med. 2013;14:407-412.

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    Wang Y, Li LL, Fan J, et al. Investigation on the sexual behavior and hiv infection among MSM in Mianyang city and analysis of the influencing factors. Prac Prev Med. 2013;20:1166-1169.

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    Qian YP, Tao XR, Yang XG. Investigation of the prevalence of HIV and influencing factors among 1378 men who have sex men. J Pathog Biol. 2013;8:921-923.

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    Wang HL, Wang W, Chu HN, et al. Status of HIV and syphilis infection among men who have sex with men in Chengde City from 2011-2012. Occup Health. 2013;29:2521-2522.

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    Tian ZW, Zhao SJ, Niu LY, Yang J. Prevalence of HIV/syphilis infection and knowledge, behaviors of STD/AIDS among men who have sex with men in Xuchang city. Chin J Public Health. 2013;29:1330-1333.

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    Wu JY. Investigation on new infection rate of HIV-1 among MSM in Qinghai from 2009 to 2011. J Med Pest Control. 2013;29:792-793.

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    Song YJ, Cai YM, Hong FC. Prevalence and factors associated with HIV infection among men who have sex with men in Shenzhen from 2009 to 2011. Cn Trop Med. 2013;13:815-817.

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    Shu B, Situ CM, Liu Y, et al. Analysis of HIV/AIDS sentinel surveillance among msm in Shenzhen. Prac Prev Med. 2013;20:694-696.

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    Han Y, Xia DY, Sun YM. Prevalence and related factors of human immunodeficiency virus (HIV) among men who have sex with men (MSM) in Beijing. Chin J AIDS STD. 2013;19:399-412.

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    Nong QX, Shi J, Xu YF. Prevalence of HIV infection and its risk factors among MSM in Nanning city. Chin J Public Health. 2013;29:682-684.

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    Yan PP, Zhang CY, Liang FF. Study on men who have sex with men for HIV infection prevalence and the incidence in Fujian in 2012. Strait J Prev Medi. 2013;19:1-5.

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    Zhang GQ, Zhao JS, Peng JY, et al. Prevalence of HIV, syphilis infection among men who have sex with men in Changsha, China. Chin J Viral Dis. 2013;3:128-130.

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    Feng YJ, Wang ZG, Wang L. The investigation of HIV knowledge and high risky behavior state among men who have sex with men in Qinhuangdao city. Chin J Derm Venereol. 2013;27:271-273.

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    Yang JF, Huan Y, Guo JH, et al. Sexual behavior characteristics and HIV infection status among MSM in Baoshan. J Med Pest Control. 2013;29:244-246.

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    Du GY, Yu HR. Survey on AIDS knowledge, attitude, behavior among men who have sex with men and HIV/syphilis/hepatitis C infection, Liaocheng city, 2010. Prev Med Tri. 2013;19:93-97.

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    Cai YM, Song YJ, Pan P, Hong FC, Feng TJ. An analysis of prevalence of syphilis/HIV in Shenzhen from 2005 to 2011. S Cn J Prev Med. 2013;39:32-34.

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    Jiang WH, He QY, Fan SF. Status and risk factors of HIV infection among MSM in Chengdu. J Prev Med Inf. 2013;29:36-40.

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    Zhou S, Feng LG, Ding XB, Xiong HY. Analysis of HIV infection rate and its influencing factors among male migrant workers who have sex with men. Acta Acad Med Militaris Tertiae. 2013;35:46-49.

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    Yang L, Yang CJ, Chen HC, Ma YL, Mei JY. HIV incidence in MSM in Yunnan, 2008-2011. Mod Prev Med. 2015;42:137-156.

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