BioMed Research International

BioMed Research International / 2014 / Article
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Dynamics of the HIV Epidemic in MSM

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Research Article | Open Access

Volume 2014 |Article ID 602719 |

Gang Zeng, Liangui Feng, Lin Ouyang, Rongrong Lu, Peng Xu, Guohui Wu, Fan Lu, "The Dynamic Trends of HIV Prevalence, Risks, and Prevention among Men Who Have Sex with Men in Chongqing, China", BioMed Research International, vol. 2014, Article ID 602719, 6 pages, 2014.

The Dynamic Trends of HIV Prevalence, Risks, and Prevention among Men Who Have Sex with Men in Chongqing, China

Academic Editor: Yujiang Jia
Received20 Oct 2013
Accepted12 Jan 2014
Published25 Mar 2014


Objective. This study was to characterize the continuously changing trends of HIV prevalence, risks, sexual behaviors, and testing behaviors among men who have sex with men (MSM) in Chongqing, China. Methods. Five consecutive cross-sectional surveys were conducted among MSM in 2006, 2008, 2010, 2012, and 2013. Testing for HIV and syphilis was performed, and HIV risks, sexual behavior, prevention, and HIV testing behavior were collected using the same questionnaire. Results. HIV prevalence increased from 13.0% to 19.7% from 2006 to 2013 (), with an increase of 1.0% per year. Syphilis prevalence peaked in 2008 with a positive rate of 11.6% and then experienced a sharp drop to 2.8% in 2012 and 2.9% in 2013. Percentage of those who ever received HIV testing in the last year increased from 17.0% to 43.3% (); condom use at the last anal intercourse and reported consistent condom use in the last 6 months increased from 51.8% to 71.0% () and from 24.7% to 47.9% (), respectively. Conclusions. HIV continued to spread among MSM in Chongqing even when a decline in prevalence of syphilis and increase in awareness rate, condom use, and HIV testing seeking behaviors seemed to occur.

1. Introduction

Unprotected sex among men who have sex with men (MSM) is the main route of HIV transmission in many countries and regions that were first affected by the HIV/AIDS epidemic, such as North America, Western Europe, and Australia [1]. Over the past years, HIV infection rate among MSM is on the decline in some cities in the United States [2]. On the contrary, HIV infection rate is increasing obviously among MSM in China [3, 4]. According to the national estimations of the HIV/AIDS epidemic in China, the proportion of HIV/AIDS cases infected via homosexual contact increased from 7.3% in 2005 to 13.0% in 2011 [5, 6]. It was estimated that 29.4% of new HIV infections in 2011 were transmitted via homosexual contact [6]. In 2008, a survey was conducted among 18,101 MSM in 61 cities in China and indicated an overall HIV prevalence of 5.1% among MSM. In some cities, HIV infection rate exceeded 10% among MSM [7, 8]. Chongqing is a city affected most heavily by homosexual transmission. The first HIV infection via homosexual contact was reported in Chongqing in 2005. Since then, the proportion of new HIV/AIDS cases via homosexual contact has shown a rapid upward trend [9], reaching 22.2% from January to June 2013, which is 0.8% higher for the same period in 2012. Understanding the trends of HIV/AIDS epidemics is crucial to identify priorities, revise strategies, and allocate resources in the response to HIV. In Chongqing, serological and behavioral surveillance has been conducted among MSM since 2006, and sound historical data have been accumulated [10, 11]. This study aims to capture the changes in the trends of the HIV/AIDS epidemic and risk behaviors of the MSM population based on the surveillance data from 2006 to 2013 in Chongqing and provide scientific evidence for the development of strategies and measures in the city’s response to HIV.

2. Methods

2.1. Study Population

Men who were at least 18 years of age and had sexual intercourse with at least 1 male during the previous year were eligible to participate in the study, regardless of their residence, history of HIV testing, serostatus, or treatment status.

2.2. Recruitment

Under the guidance of the National Protocol for HIV Sentinel Surveillance, a national MSM sentinel site was established in Chongqing and began operations in 2006. The period of surveillance was from April to June every year. A number of recruitment strategies were adopted, including receiving referrals from nongovernment organizations, adopting the snowball method, and using online recruitment. The numbers of participants were 561, 602, 400, 390, and 376 in 2006, 2008, 2010, 2012, and 2013, respectively.

2.3. Measures

The survey site was located in a STI/HIV clinic of Chongqing CDC. After obtaining informed consent from study subjects, trained investigators administered a questionnaire to collect information on the study subjects’ demographic characteristics, homosexual behaviors, heterosexual behaviors, commercial sex, and access to HIV testing and intervention. Blood samples were taken from subjects for HIV and syphilis testing. HIV infection was screened with enzyme-linked immunosorbent assay (ELISA; Zhuhai Livzon Diagnostics Inc., China). Subjects with a positive result in the first test were retested with another ELISA reagent (Beijing Wantai Biological Pharmacy Enterprise Co., Ltd., China). HIV infection was diagnosed if both tests were positive. For syphilis testing, ELISA assay (Zhuhai Livzon Diagnostics Inc., China) and TRUST assay (Shanghai Rongsheng Biological Pharmacy Enterprise Co., Ltd., China) were used, and there would be a confirmed diagnosis if both ELISA and TRUST positive could be diagnosed syphilis positive. However, only ELISA assay was used in 2006 and 2008.

2.4. Statistical Analysis

Data were entered into a web-based electronic database designed by the National HIV Sentinel Surveillance Working Group. Upon completion of data inputs, data were then exported to the SAS software for statistical analysis (SAS Institute Inc., USA, version 9.3). Demographic characteristics were presented and compared using chi-square test for different rounds of samples. Observed trends in HIV and syphilis prevalence, as well as a number of sexual risk behaviors, were analyzed with chi-square trend test (Cochran-Armitage method). Since the study samples across the study period were different in age proportion, trends were also examined separately for participants aged between 18 and 24 years, 25 and 34 years, and those aged over 45 years. All reported values were examined at a 2-tailed test. was considered as a statistically significant difference.

3. Results

3.1. Study Participants

A total of 2329 MSM were enrolled in the sentinel surveillance surveys: 561 participated in 2006, 602 in 2008, 400 in 2010, 390 in 2012, and 378 in 2013 (Table 1). The mean age (SD) was 31.8 (9.9), 26.0 (6.8), 26.7 (6.9), 27.4 (6.4), and 27.4 (7.0) in 2006, 2008, 2010, 2012, and 2013, respectively. Subjects in 2006 were older than those in other years. Most subjects were single, accounting for 83.1%. 23.7% of subjects were migrants. In 2008, 38.0% of subjects (the highest figure across the years covered by the study) were migrants. 62.3% of subjects have received education for at least 13 years. The education level was obviously higher among subjects surveyed in 2010 than those surveyed before 2010. There are significant differences in demographic characteristics of subjects across the survey years ().

(%) (%) (%) (%) (%) (%)

Age (years)
 18–24561158 (28.2)602322 (53.5)400184 (46.0)390144 (36.9)376153 (40.7)2329961 (41.3)
 25–34561211 (37.6)602205 (34.1)400172 (43.0)390201 (51.5)376175 (46.5)2329964 (41.4)
 ≥35561192 (34.2)60275 (12.5)40044 (11.0)39045 (11.5)37648 (12.8)2329404 (17.3)
Marital Status
 Single561416 (74.2)602516 (85.7)391341 (87.2)390335 (85.9)376320 (85.1)23201928 (83.1)
 Married or divorced561145 (25.8)60286 (14.3)39150 (12.8)39055 (14.1)37646 (14.9)2320382 (16.5)
 Local561441 (78.6)602373 (62.0)398316 (79.4)390326 (83.6)376319 (84.8)23271775 (76.3)
 Non-Local561120 (21.4)602229 (38.0)39882 (20.6)39064 (16.5)37657 (15.2)2327552 (23.7)
Education (years)
 0–9561137 (24.5)60297 (16.2)39914 (3.6)39018 (4.6)37628 (7.4)2328294 (12.6)
 10–12561198 (35.3)602174 (28.8)39991 (22.8)39049 (12.6)37671 (18.9)2328583 (25.0)
 ≥13561226 (40.2)602331 (55.0)399294 (73.7)390323 (82.8)376277 (73.7)23281451 (62.3)

3.2. Dynamic Trends of HIV and Syphilis

HIV prevalence among the study participants showed an upward trend and increased from 13.0% to 19.7% from 2006 to 2013 (), with an increase of 1.0% per year. After age stratification, HIV prevalence significantly increased from 6.3% to 19.6% among MSM aged 18–24 () and had a modest increase from 13.7% to 19.4% among MSM aged 25–34 (). No significant trend was observed among those over 35 years old (). However, syphilis prevalence peaked in 2008 with a positive rate of 11.6% and then sharply dropped to 2.9% in 2013. The decreasing trend could be observed in all three age groups and subgroups by HIV infection status. In addition, both HIV infection rate and syphilis infection rate increased by age, with MSM over 35 having the highest HIV/syphilis prevalence in all survey years. HIV positive cases had higher syphilis prevalence compared to HIV negative cases over the study period, except in the year 2012. See Table 2.

Infections/Diseases20062008201020122013 value*
(%) (%) (%) (%) (%)

HIV 56173 (13.0)60298 (16.3)40050 (12.5)39076 (19.5)37674 (19.7)0.004
 Age (years)
  <2515810 (6.3)32239 (12.1)18422 (12.0)14426 (18.1)15330 (19.6)<0.001
  25–3421129 (13.7)20529 (14.1)17219 (11.0)20136 (17.9)17534 (19.4)0.085
  ≥3519234 (17.7)7520 (26.7)449 (20.5)4514 (13.1)4810 (20.8)0.18
Syphilis56154 (9.6)60270 (11.6)40025 (6.3)39011 (2.8)37611 (2.9)<0.001
 Age (years)
  <251586 (3.8)32229 (9.0)18412 (6.5)1443 (2.1)1534 (2.6)0.044
  25–3421119 (9.0)20526 (12.7)1729 (5.2)2015 (2.5)1753 (1.7)<0.001
  ≥3519229 (15.1)7515 (20.0)444 (9.1)453 (6.7)484 (8.3)0.056
HIV and syphilis coinfection7315 (20.5)9829 (29.6)507 (6.5)762 (2.1)749 (12.2)<0.001
Self-report STD diagnosis in the last year561112 (20.0)602122 (20.3)40022 (5.5)39011 (2.8)3769 (2.4)<0.001
 Age (years)
  <2515834 (21.5)32258 (18.0)18411 (6.0)1446 (4.2)1533 (2.0)<0.001
  25–3421153 (25.1)20546 (22.4)1727 (4.1)2011 (0.5)1754 (2.3)<0.001
  ≥3519225 (13.0)7518 (24.0)444 (9.1)454 (8.9)482 (4.2)0.072
HIV and Other STDs coinfection7326 (35.6)9824 (24.5)506 (12.0)766 (7.9)741 (1.4)<0.001

values are from Cochran-Armitage trend analysis.
3.3. Sexual Behavior and Trends of Reported Condom Use

Percentage of receiving HIV testing in the last year increased from 16.8% to 43.1% (). Reported condom use at the last anal intercourse and reported consistent condom use in the last 6 months increased from 51.9% to 71.0% () and from 24.7% to 47.9% (), respectively. HIV/AIDS awareness rate rose from 87.0% to 98.0% (). The proportion of subjects ever having had sex with women decreased from 33.0% to 8.8%. Just like the rate of condom use with men, the rate of condom use with women was also on the increase. The rate of condom use at last sex increased from 30.8% to 51.5%. The rate of consistent condom use in the past six months increased from 21.6% to 45.5%. See Table 3.

Health behaviors20062008201020122013 value*
(%) (%) (%) (%) (%)

Ever received HIV testing in previous year56194 (16.8)602195 (32.4)400198 (49.5)390165 (42.3)376162 (43.1)<0.001
 Age (years)
  <2515829 (18.4)32296 (29.8)18484 (45.7)14458 (40.3)15363 (41.2)<0.001
  25–3421144 (20.9)20579 (38.5)17291 (52.9)20194 (46.8)17581 (46.3)<0.001
  ≥3519221 (10.9)7520 (26.7)4423 (52.3)4513 (28.9)4818 (37.5)<0.001
Condom use during last sexual intercourse with man466242 (51.9)500330 (66.0)375250 (66.7)336231 (68.8)338240 (71.0)<0.001
 Age (years)
  <2513580 (59.3)268175 (65.3)171117 (68.4)12484 (67.7)13798 (71.5)<0.001
  25–3418797 (51.9)172123 (71.5)161108 (67.1)173119 (68.8)154113 (73.4)<0.001
  ≥3514465 (45.1)6032 (53.3)4325 (58.1)3928 (71.8 )4729 (61.7)0.002
Consistent condom use in the last 6 months with men466115 (24.7)500185 (37.0)375155 (41.3)336150 (44.6)338162 (47.9)<0.001
 Age (years)
  <2513548 (35.6)26897 (36.2)17175 (43.9)12450 (40.3)13760 (43.8)<0.001
  25–3418745 (24.1)17271 (41.3)16164 (39.8)17382 (47.4)15488 (57.1)<0.001
  ≥3514422 (15.3)6017 (28.3)4316 (37.2)3918 (46.2)4714 (29.8)<0.001
Sex with women561185 (33.0)60295 (15.8)40045 (11.3)39045 (11.5)37633 (8.8)<0.001
Condom use during last sexual intercourse with woman18557 (30.8)9543 (45.3)4515 (33.3)4522 (48.9)3317 (51.5)0.008
Consistent condom use in the last 6 months with women18540 (21.6)9538 (40.0)4512 (26.7)4519 (42.2)3315 (45.5)0.001
Commercial sex with men56139 (6.9)60251 (8.4)38416 (4.0)37614 (3.6)3679 (2.4)<0.001
HIV/AIDS awareness rate561488 (87.0)602522 (86.7)400385 (96.3)390385 (98.7)376368 (98.0)<0.001

values are from Cochran-Armitage trend analysis.

4. Discussion

Despite huge amounts of effort in HIV prevention and control, this analysis has shown that there has been a significant increase in HIV prevalence among MSM population in Chongqing from 2006 to 2013, coinciding with the general trend in China [4, 12]. This rise in prevalence is mainly due to the rapid increase in HIV infection among MSM individuals aged 18–24 years, which resulted in the fact that all age groups had similar HIV prevalence in 2013 although there was a huge gap (6.3% for 18–24, 13.7% for 25–34, and 17.7% for over 35) in 2006. Previous study indicated that younger MSM are more likely inclined to have multiple sex partners and engage in more complicated sexual networks and older MSM may prefer to have young MSM partners [13]. The sexual intercourse between older MSM with higher HIV prevalence and young MSM could be a contributing factor to the increase of HIV prevalence among young MSM. HIV prevalence among older MSM has stabilized in recent years, as a result of more people having access to ART treatment and decreasing number of MSM dying from AIDS. However, it is also likely that the HIV prevalence may have been overestimated. Firstly, in all rounds of surveys, HIV positive cases were defined as two ELISA positives, which may include some false positives. Secondly, the participants were conveniently sampled. One meta-analysis indicated that the unprotected anal intercourse prevalence was significantly lower in studies that used random or systematic sampling methods compared with studies that used convenience sampling, as more high-risk MSM could have been recruited, resulting in higher estimate of HIV prevalence [14].

Our results suggest that there is a significant increase in condom usage and more MSM are willing to seek HIV testing. This could be partly a result of the numerous MSM intervention projects implemented by the local government, as well as the work of all the MSM nongovernment organizations in Chongqing these years [10]. The positive trend could also be seen in other studies in China [15, 16]. However, the current level of condom usage is still very low and could be a reason for the elevated prevalence. Many countries across the world are struggling to reduce unprotected sexual behavior among MSM [17, 18] and to reduce HIV infection among MSM, additional effort is needed to expand HIV prevention programs, taking into consideration of the biomedical, behavioral, and structural aspects of the epidemic, which could lead to possible improvements in safe sexual behavior, HIV testing seeking and access to care, and subsequently a decline of HIV prevalence in the long run.

There are a few reasons for the discrepancy between HIV prevalence increase and condom use rate. Firstly, prevalence reflects joint action of incidence and mortality. Prevalence might go up when both incidence and mortality go down. In fact, with expansion of ART, the mortality does decrease significantly in recent years in China [19]. In general, population incidence can reflect epidemic trends most directly. The surveillance of incidence, however, has not been implemented widely due to constraints of laboratory capacity, staffing, timing, and resources. Many studies adopted prevalence from continuous cross-sectional surveys to estimate the trends of HIV/AIDS epidemic [20, 21]. Secondly, Sentinel surveillance is grounded on anonymous unlinked survey. The duplication of the recruitment over the years might have overestimated condom use rate and HIV testing rate.

The analysis indicated a significant decline in syphilis infection rate in Chongqing, which could also be seen in other Chinese cities [22]. Since TRUST reagents were not used for syphilis screening in 2006 and 2008, the use of single ELISA might produce a high proportion of false positive cases. Excluding data from these two years, an obvious decline was still observed for syphilis infection rate after 2010. Additionally, the proportion of subjects self-reporting sexually transmitted diseases in the previous year was also on the decline, consistent with syphilis testing results and coinciding with the self-reported increasing rate of condom use. This indicated that safer sex could be effective in preventing STDs but needed to be confirmed by more data. Results showed that the rate of syphilis infection and self-reported STD was higher among HIV-positive subjects than among HIV-negative subjects, consistent with other studies [23]. The high rate of coinfection justified the necessity of screening in both HIV positive cases and STD patients.

There are several limitations in this analysis. Firstly, the sentinel surveillance relied on convenience-based samples and the participants were recruited through several different methods in every round. Since the characteristics of samples in each survey showed statistically different results, stratified analysis was performed to minimize the effect of the change in population structure.

Secondly, changes in HIV tests may also influence trends. HIV antibody tests have improved over the years. New generation assays are more accurate and the rate of false-positive results that may skew prevalence becomes lower. Thirdly, Reporting bias due to desirability is more likely to affect the assessment of trend data. Since incidence is the best indicator of HIV trend in a short period, trend analysis based on incidence estimates was strongly recommended for future study.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Authors’ Contribution

Gang Zeng and Liangui Feng contribute to the paper equally on data analysis, interpretation of the findings, and paper drafting.


The study was funded by the National Science Foundation of China (71003089, 71373008). The authors also gratefully acknowledge the staff in voluntary STD/HIV testing and counseling clinic in Chongqing CDC, whom without their contribution to the questionnaire survey and laboratory work the study would not have been completed.


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