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What is the potential for bisexual men in China to act as a bridge of HIV transmission to the female population? Behavioural evidence from a systematic review and meta-analysis

BMC Infectious Diseases201111:242

DOI: 10.1186/1471-2334-11-242

Received: 19 April 2011

Accepted: 15 September 2011

Published: 15 September 2011

Abstract

Background

HIV prevalence among men who have sex with men (MSM) in China has rapidly increased in recent years. It is suggested that MSM could be a potential bridge of HIV transmission to the general female population. We investigated the bisexual behaviour of MSM in China through systematic review and meta-analysis.

Methods

We conducted a systematic review and meta-analyses on published peer-reviewed Chinese and English literature during 2001-2010 according to the PRISMA guidelines. Marital status and sexual behavioural indicators of MSM were presented graphically using forest plots. The pooled effect rates with 95% confidence intervals were also calculated. Meta-regression analyses were performed to examine the factors associated with high heterogeneities across the studies.

Results

Forty-three eligible articles (11 in English and 32 in Chinese) were identified. Our results showed that 17.0% (95% CI: 15.1-19.1%) of MSM in China are currently married to a woman and 26.3% (95% CI: 23.6-29.1%) of MSM had female sexual partners in the last six months. The pooled estimates for condom use rate between MSM and female sex partners was 41.4% (95% CI: 35.5-47.5%) at the last sex act; and 25.6% (95% CI: 23.0-28.4%) in the last six months. The consistent condom use rates with regular, non-commercial, casual and commercial female sex partners in the last six months were 23.3% (95% CI: 11.25-42.1%), 39.0% (95% CI: 28.8-50.3%) and 55.8% (95% CI: 41.4-69.4%), respectively.

Conclusions

A substantial proportion of Chinese MSM is currently married or had sexual relations with a female in the past six months. In addition, low condom usage was common between married MSM and their wives, hence posing a higher risk of transmitting HIV. Harm-reduction programs targeting married MSM and their female partners are necessary to curb the further spread of HIV infection to the general female population.

Keywords

Men who have sex with men (MSM) meta-analysis bisexual behaviour condom use

Background

Although blood transfusions and injecting drug use had historically been the dominant risk factors associated with HIV infection in China, sexual transmission has become the main route of HIV transmission in recent years. Among the 48,000 (41,000-55,000) Chinese people newly diagnosed with HIV in 2009 [1], 42.2% and 32.5% were due to heterosexual and homosexual transmission respectively [1, 2]. Notably, HIV prevalence among men who have sex with men (MSM) in China had increased rapidly from 1.4% to 5.3% between 2001-2009 [3] and this increasing trend is likely to continue in coming years.

The rapid increase in HIV prevalence among Chinese MSM was probably due to many factors including the increasing numbers of men who engage in homosexual sex; multiple male partners; and high levels of unprotected anal intercourse. A recent systematic review and meta-analysis study showed that just over one-third of MSM report consistent condom use with their male sex partners in the last six months and only 20% consistently used condoms with their regular male partners [4]. It has also been reported that sexually active Chinese MSM report having an average of six to seven male sexual partners in the last six months and 18% of them had participated in group sex in the past 12 months [5].

Due to traditional cultural and family values, Chinese MSM often marry to conceal their homosexuality from family and friends. It was estimated that approximately 50-70% of MSM have had sex with females in their lifetime [610] and 70-90% will eventually marry [11, 12]. This suggests that bisexual behaviours among Chinese MSM are common. As they are often the only son in their families, as a direct result of China's one-child policy, they also face their parents' expectation to have children to continue the family line.

Chinese MSM tend to have low rates of condom use with their female partners [13]. Given the rapid increase in HIV prevalence among Chinese MSM, their bisexual behaviours could potentially act as a bridge of HIV transmission to the general population [5, 9, 1416]. In this study we conducted a systematic review of studies on bisexual behaviours among Chinese MSM in both Chinese and English literature to examine the extent to which bisexual behaviour is common among Chinese MSM.

Our review, coupled with meta-analyses for specific questions, summarised evidence of bisexual behaviours of Chinese MSM. These included the age of MSM who are currently married; the percentage of Chinese MSM who had female sexual partners in last six months; the percentage of MSM who are currently married; and the condom usage rate among MSM with their female sexual partners at the last sex act or in the last six months. Different types of partnerships, including regular, non-commercial casual or commercial, were also distinguished in our review and analysis. In comparison with a recent published systematic review on behavioural studies among Chinese MSM [17], this study employed a meta-analysis approach with a strong focus on the condom use with different types of female partners. In addition, this study substantially extended the previous analysis to include both English and Chinese literature. Our study provides more detail insights and quantifiable results on the bisexual behaviours among MSM in China.

Method

Searching strategy

Two investigators (EPFC, LZ) performed a systematic literature search for peer-reviewed studies from the following electronic databases: PubMed, Wanfang Data, China National Knowledge Infrastructure (CNKI) and Chinese Scientific Journals Fulltext Database (CQVIP), published between 2001 and 2010. The keywords searched in the databases were ("unprotected sex" OR "condom use" OR "risk behaviour") OR ("KABP [knowledge, attitudes, beliefs and practices]" OR "behaviour") OR ("Married" OR "Unmarried") OR ("female sexual partners") AND ("homosexual" OR "MSM" OR "men who have sex with men" OR "gay") AND "China". The references in the relevant articles were searched manually. We limited our search to articles published in Chinese and English only. We followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines issued in 2009 for conducting and reporting this systematic review and meta-analysis [18].

Study selection

Studies were included if they (1) reported the percentage of condom use (at the last sex act and/or consistent condom use in the last six months) OR (2) reported the percentage of MSM who had female sexual partners in last six months, through a peer-reviewed publication of cohort or cross-sectional study. We excluded studies in which the target study population was specifically money boys or MSM drug users only. Review papers, non-peer reviewed theses, local reports, conference abstract and presentations were excluded from this study. The two duration types of condom use in "last sex act" and "in last six months" were the most frequent and standardised reported indicators in most Chinese and English literature. Therefore consistent condom use rates within other durations (e.g. past one, three, twelve months or others) were also excluded. Studies which did not report study location, time periods and sample size were also excluded. If the study was duplicated in the databases, studies published in Chinese or published latest were excluded from this review.

Quality assessment

The quality of studies was assessed using a validated quality assessment tool for cross-sectional studies [19]. The following seven items were assessed to calculate a total quality score: (1) clear definition of the target population; (2) representativity of probability sampling; (3) sample characteristics matching the overall population; (4) adequate response rate; (5) standardised data collection methods; (6) reliable and valid survey measures/instruments; (7) appropriate statistical methods. Answers were scored 0 and 1 for 'No' and 'Yes', respectively. The total quality score varied between 0 and 7 (see Table 1).
Table 1

A summary of studies reporting bisexual behaviour among men who have sex with men in China

 

Study Design

Sexual orientation % (n/N)

Condom usage % (n/N)

Quality Score

First author, published year

Study Period

(MM/YY)

Study location

Age range

(Mean)

Recruitment method1

Sampling method 2

Sampling size

Percentage of married MSM

Had female partners in last six months

Types of female partner3

Condom use

at last sex act

100% condom use in last six months

 

East China

 

Cai GF, 2008 [26]

06/2006-12/2006

Zhejiang

16-46

MSM Venues

-

152

16.4% (25/152)

18.9% (28/148)

Commercial

-

33.3% (2/6)

4

Chen SC, 2007 [25]

07/2005-09/2005

Hangzhou

18-70 (28.0)

MSM Venues, internet invitation

Snowball

365

26.8% (97/362)

11.5% (42/365)

Commercial

75.0% (3/4)

44.4% (4/9)

4

Choi KH, 2007 [39]

09/2004-06/2005

Shanghai

18-56 (28.0)

MSM Venues

Snowball

477

13.0% (62/477)

25.2% (120/477)

-

-

-

6

Fu LJ, 2007 [23]

02/2006-12/2006

Zhejiang

19-41 (26.0)

-

Snowball

55

18.2% (10/55)

16.4% (9/55)

-

-

-

3

Hu Q, 2006 [6]

08/2005

Jiangxi

15-60 (25.0)

MSM Venues, internet advertisement

Snowball

200

10.5% (21/200)

-

Overall

51.1% (48/94)

-

4

Liao MZ, 2006 [27]

09/2005-11/2005

Shandong (Jinan, Yantai, Weihai)

18-73 (26.0)

MSM Venues

-

157

12.1% (19/157)

22.9% (36/157)

Commercial

78.6% (11/14)

50.0% (7/14)

3

Ruan S, 2009 [16]

03/2007-07/2007

Jinan

N/A

Peer referral

RDS

428

16.1% (69/428)

Total: 33.6% (144/428)

[Married: 97.1% (67/69); Unmarried: 21.4% (77/359)]

-

-

-

5

 

04/2008-06/2008

Jinan

N/A

Peer referral

RDS

500

25.4% (127/500)

Total: 32.6% (163/500) [Married: 78.0% (99/127); Unmarried: 17.2% (64/373)]

-

-

-

 

Wu J, 2008 [52]

10/2006-12/2006

Shanghai

18-54 (26.6)

MSM Venues

-

203

11.8% (24/203)

43.3% (88/203)

Overall

47.7% (42/88)

34.1% (30/88)

4

Yang HT, 2006 [8]

05/2004-07/2004

Jiangsu

18-56 (28.0)

MSM Venues, internet advertisement

-

222

21.6% (48/222)

45.9% (102/222)

Overall

-

21.3% (23/108)

5

Zhu YW, 2007 [53]

03/2006-07/2006

Jinan

17-66 (25.4)

CDC

-

400

11.0% (44/400)

20.0% (80/400)

Overall

-

27.5% (22/80)

4

Northeast China

            

Gu Y, 2004 [54]

03/2003-04/2003

Shenyang

16-49

MSM Venues

-

342

-

36.3% (124/342)

-

-

-

3

Liu LY, 2008 [55]

2006

Mudanjiang

N/A (29.0)

MSM Venues

-

202

16.8% (34/202)

-

Overall

26.3% (20/76)

24.0% (12/50)

2

Wang J, 2008 [56]

08/2006-10/2006

Harbin

N/A

MSM Venues

Convenience

401

-

22.4% (90/401)

Overall

48.9% (44/90)

-

3

Wang L, 2006 [57]

07/2004

Heilongjiang

17-66

MSM Venues

-

397

12.6% (50/397)

24.7% (98/397)

-

-

-

3

Zhang D, 2007 [58]

2002

Harbin

18-67

MSM Venues

-

215

-

41.9% (90/215)

-

-

-

5

 

2004

Harbin

18-67

MSM Venues

-

397

-

24.7% (98/397)

-

-

-

 
 

2006

Harbin

18-67

MSM Venues

-

647

-

25.0% (162/648)

-

-

-

 

Zhao H, 2009 [59]

01/2008-10/2008

Harbin

17-52 (25.0)

VCT Clinic

-

89

7.9% (7/89)

14.6% (13/89)

Overall

53.8% (7/13)

30.8% (4/13)

2

North China

Guo W, 2008 [60]

10/2007-11/2007

Hebei

18-54

MSM Venues, internet chat rooms

-

118

17.9% (19/106)

33.0% (35/106)

-

-

-

3

Liu H, 2001 [61]

08/2000-10/2000

Beijing

16/72 (30.1)

MSM Venues

TLS

84

29.8% (25/84)

27.4% (23/84)

-

-

-

3

Liu H, 2005 [10]

09/2001-01/2002

Beijing

18-69 (27.0)

MSM Venues

-

481

9.4% (45/481)

30.1% (145/481)

Overall

-

27.6% (40/145)

4

Liu H, 2007 [28]

08/2005-12/2008

Beijing

18-55 (27.2)

MSM Venues

-

416

11.5% (48/416)

31.7% (132/416)

Commercial

-

75.0% (12/16)

4

         

Regular

-

16.5% (16/97)

 
         

Non-commercial casual

-

40.7% (22/54)

 

Ma J, 2007 [62]

04/2006-10/2006

Tianjin

N/A (25.2)

Internet advertisement

-

433

9.5% (41/433)

22.9% (99/433)

-

-

-

5

Qu L, 2009 [63]

10/2008-12/2008

Inner Mongolia

18-63 (27.0)

MSM Venues

-

604

21.4% (129/604)

19.7% (119/604)

Overall

28.6% (34/119)

19.3% (23/119)

2

Ruan Y, 2007 [30]

06/2005-11/2005

Beijing

17-54 (26.2)

MSM Venues, peer referring, internet advertising

Snowball, convenience

526

6.5% (34/526)

10.6% (56/526)

Regular

-

32.6% (14/43)

5

         

Non-commercial casual

-

34.8% (8/23)

 

Wang CH, 2007 [12]

06/2003-10/2006

Chengde

15-28

MSM Venues

Snowball

82

26.8% (22/82)

22.0% (18/82)

-

-

-

1

Wang XL, 2009 [64]

11/2008-12/2008

Tangshan

19-53

MSM Venues

-

114

50.0% (57/114)

50.9% (58/114)

-

-

-

2

South Central China

Cai YM, 2009 [65]

10/2007-12/2007

Shenzhen

18-45 (27.0)

MSM Venues

RDS

351

21.9% (77/351)

28.5% (100/351)

Overall

-

36.8% (35/95)

3

He Q, 2005 [66]

04/2003-05/2003

Guangzhou

18-55

Peer referral, internet advertisement

Snowball

121

-

21.5% (26/121)

Overall

-

26.9% (7/26)

4

Li N, 2007 [40]

2006

Henan

17-68 (28.3)

CDC

Continuous

187

31.6% (59/187)

36.9% (69/187)

-

-

-

2

Liu H, 2009 [45]

2007

Shenzhen

18-45

MSM Venues

RDS

293

24.9% (73/293)

25.9% (76/293)

Overall

-

31.1% (91/293)

5

Xing JM, 2007 [41]

10/2005-12/2005

Hunan

14-65 (29.8)

MSM Venues, internet invitation

-

372

27.3% (101/370)

29.0% (108/372)

Overall

-

32.7% (33/101)

3

Xu YF, 2008 [67]

08/2007-09/2007

Nanning

17-38

Internet advertisement, peer referral

-

230

6.1% (14/230)

13.9% (32/230)

-

-

-

2

Zhong F, 2009 [64]

05/2008-08/2008

Guangzhou

≥ 18

VCT Clinic

RDS

379

21.9% (83/379)

28.2% (107/379)

-

-

-

5

Northwest China

Miao ZF, 2009 [68]

04/2008-06/2008

Yinchuan

18-55 (27.7)

MSM Venues, internet

Snowball

312

24.4% (76/312)

37.5% (117/312)

Overall

47.0% (55/117)

-

2

Zhang M, 2009 [24]

05/2008-06/2008

Ürumqi

18-54 (27.4)

-

RDS

231

11.3% (26/231)

16.9% (39/231)

-

-

-

1

Southwest China

  

Feng L, 2009 [13]

07/2006-11/2006

Chongqing

≥ 18

MSM venues, community outreach, peer recruitment, web-based recruitment

VBS, CABC

1000

18.2% (182/1000)

24.5% (245/1000)

Overall

36.3% (89/245)

23.7% (58/245)

5

 

07/2007-11/2007

Chongqing

≥ 18

MSM venues, community outreach, peer recruitment, web-based recruitment

VBS, CABC

1044

22.7% (237/1044)

25.2% (263/1044)

Overall

28.5% (75/263)

22.4% (59/263)

 

Feng Y, 2010 [69]

03/2007-07/2007

Chengdu

16-44

MSM Venues

Snowball

538

19.2% (96/500)

26.5% (136/513)

-

-

-

6

Lau JT, 2009 [70]

2005

Kunming

15-75

MSM Venues, peer referral, internet recruitment

VBS, snowball

387

20.4% (79/387)

36.4% (141/387)

-

-

-

5

 

2006

Kunming

15-75

MSM Venues, peer referral, internet recruitment

VBS, snowball

316

11.4% (36/316)

30.1% (95/316)

-

-

-

 

Wang Y, 2008 [29]

12/2006-01/2007

Mianyang

16-57 (24.8)

MSM Community

RDS

201

7.5% (15/199)

12.9% (26/201)

Overall

57.7% (15/26)

42.3% (11/26)

4

         

Commercial

87.5% (7/8)

62.5% (5/8)

 

Xiao Y, 2009 [71]

07/2006-09/2007

Chongqing

18-68 (27.7)

MSM Venues, internet recruitment, community outreach, peer referral

VBS, snowball

1692

17.1% (289/1692)

21.6% (364/1689)

Overall

35.8% (130/363)

23.5% (85/362)

6

Zhou J, 2008 [72]

09/2006-12/2006

Guiyang

15-49 (24.0)

Peer referral, internet recruitment

-

406

5.2% (21/406)

7.4% (30/406)

Overall

63.3% (19/30)

-

5

Others

            

Xiao Y, 2010 [73]

07/2006-09/2006

20 cities from 7 provinces (Gansu, Inner Mongolia, Heilongjiang, Jilin, Liaoning, Ningxia, Chongqing)

15-68 (28.4)

Internet advertisement, community outreach, peer referral, MSM Venues

Snowball, VBS

4983

27.2% (1354/4983)

26.0% (1298/4983)

Overall

-

18.2% (231/1266)

6

Zhang BC, 2007 [74]

2004

6 cities

(Chongqing, Shenyang, Dalian, Qingdao, Nanjing, Xi'an)

15-72 (27.6)

MSM Venues

Snowball

1389

17.9% (249/1389)

42.4% (589/1389)

Overall

-

23.6% (139/589)

5

Zhang BC, 2008 [5]

2005-2006

9 cities (Harbin, Shenyang, Xi'an, Zhengzhou, Shanghai, Nanjing, Chongqing, Wuhan, Chengdu)

13-78 (29.1)

MSM Venues

Snowball

2250

24.7% (555/2246)

Total: 52.1% (548/1051) [Married: 74.0% (344/465); Unmarried: 34.8% (204/586)]

Overall

-

Total: 22.6% (190/839) [Married: 16.2% (65/401); Unmarried: 28.5% (125/438)]

5

1 MSM Venues: including gay bars, parks, sauna, bathroom, dance clubs; VCT Clinic: HIV voluntary counseling and testing clinic

2 RDS: Respondent-Driven Sampling; TLS: time-location sampling; VBS: Venue-based sampling, CABC: Cruising area-based convenience sampling

3 Overall partnerships represent the combination of regular, non-commercial casual and commercial female partnerships.

Data abstraction

For all identified studies, we also extracted information about the study: first author and year of publication, study period, study location, age of MSM, study base, sampling method, sample size, marital status (percentage of currently married MSM), and types of female sexual partners (regular, non-commercial casual, commercial or overall). We divided the studies into six traditional administrative regions (East China, Northeast China, North China, South Central China, Northwest China and Southwest China). See Table 1 for a description of included studies and extracted data.

Quantitative data synthesis

The data were analysed in the Comprehensive Meta-Analysis software (V2.0, Biostat, Englewood, New Jersey). For every stratified analysis, we tested the significance of heterogeneity by the Cochran's Q statistics (p < 0.10 indicates significant heterogeneity) and the level of heterogeneity was assessed by the I 2 statistic [20]. The value of the I 2 statistic indicates low (25%), moderate (50%) and high (75%) heterogeneity between studies. Due to the presence of heterogeneity in different stratified analyses, random effect models were used to compute the pooled effect rates (i.e. percentage of married MSM, percentage of MSM who had female sexual partners in the last six months and the condom use rates), 95% confidence intervals (CI) and relative weights of studies. Results were graphically presented in forest plots. Publication bias was tested by the Begg and Mazumdar rank correlation (p < 0.05 on the Kendall's tau indicates significant publication bias) where three or more studies contributed to a stratified analysis [21].

Heterogeneity in meta-analysis is a test of the variation between studies. A high level of heterogeneity (I 2 ≥ 75.00, p < 0.10) may be due to the factors of the size of study, sampling methods and study base [20]. We investigated factors related to heterogeneity among studies by using meta-regression [22]. Due to insufficient number of studies, we could only perform meta-regression for the meta-analysis on: (1) MSM marriage rate; (2) MSM who had female sexual partners in the last six months; (3) condom use between MSM and female partners at last act; and (4) consistent condom use between MSM and female partners in the last six months. Potential study characteristics associated with high heterogeneity were examined in a multiple variables model. The multiple variables used in this study were the language of publication (Chinese versus English), size of study (< 200 versus ≥ 200), recruitment method (MSM venues versus non-MSM venues versus not reported), sampling method (not reported method versus other methods versus RDS (respondent driven sampling) or snowball method), and study time period (early 2000s (2000-2004) versus late 2000s (2005-2009)). The regression coefficient and p values (p value < 0.10 indicates that the factor is significantly associated with heterogeneity) for each study characteristic on meta-analysis were calculated by the STATA statistical software package (version 10). Results of meta-regression and subgroup meta-analyses based on the potential study characteristics were summarised in Table 2.
Table 2

Result of individual variable meta-regression models for each stratified meta-analysis

 

Stratified meta-analyses

Study Characteristic

Marital Status of MSM

Had female partners

in last six months

Condom use

at last sex act

Consistent condom use

in last six months

 

Pool estimate %

(95% CI), n

Meta-regression

(β, p -value)

Pool estimate %

(95% CI), n

Meta-regression

(β, p -value)

Pool estimate %

(95% CI), n

Meta-regression

(β, p -value)

Pool estimate %

(95% CI), n

Meta-regression

(β, p -value)

Language of article:

        

   Chinese

16.4 (13.9-19.3), n = 29

0.187

25.8 (21.7-30.4), n = 30

0.058

45.4 (37.5-53.6), n = 9

-0.282

26.9 (23.8-30.2), n = 13

0.009

   English

18.2 (15.2-21.5), n = 13

p = 0.312

26.8 (24.2-29.5), n = 16

p = 0.686

33.6 (29.0-38.6), n = 3

p = 0.058

23.4 (19.1-28.4), n = 5

p = 0.960

Sample size:

        

   < 200

19.8 (13.1-28.9), n = 10

-0.335

25.9 (19.8-33.2), n = 10

-0.056

45.4 (37.5-53.6), n = 9

 

28.6 (24.7-32.8), n = 11

-0.313

   ≥ 200

16.3 (14.3-18.4), n = 32

p = 0.090

26.3 (23.4-29.5), n = 36

p = 0.730

33.6 (29.0-38.6), n = 3

-

23.2 (20.4-26.3), n = 7

p = 0.139

Recruitment method:

        

   MSM venues

18.7 (16.6-21.0), n = 30

 

28.6 (25.5-32.0), n = 33

 

38.4 (32.8-44.3), n = 9

 

25.1 (22.5-27.9), n = 15

 

   Non MSM venues

12.6 (8.6-18.1), n = 10

-0.203

21.1 (16.2-26.9), n = 11

-0.139

59.4 (47.4-70.3), n = 3

0.368

34.2 (23.6-46.6), n = 3

0.107

   Not reported

13.5 (8.4-21.0), n = 2

p = 0.035

16.8 (12.9-21.6), n = 2

p = 0.059

-

p = 0.068

-

p = 0.679

Sampling method:

        

   RDS/snowball

17.2 (14.5-20.2), n = 17

 

25.7 (21.7-30.3), n = 21

 

45.9 (36.4-55.7), n = 4

 

25.8 (21.8-30.4), n = 8

 

   Other methods

21.7 (18.1-25.8), n = 8

0.013

26.5 (22.9-30.3), n = 5

0.009

37.0 (27.4-47.7), n = 3

0.122

27.5 (19.7-36.9), n = 2

0.089

   Not reported

14.6 (11.1-19.0), n = 17

p = 0.886

26.6 (22.5-31.1), n = 20

p = 0.899

41.6 (28.6-55.9), n = 5

p = 0.128

24.9 (21.8-28.4), n = 8

p = 0.268

Time period:

        

   2000-2004

16.8 (12.2-22.9), n = 5

0.023

32.6 (27.0-38.7), n = 9

-0.236

-

-

24.1 (21.4-27.1), n = 4

0.093

   2005-2009

17.1 (15.0-19.3), n = 37

p = 0.922

24.9 (22.1-27.9), n = 37

p = 0.134

41.4 (35.5-47.5), n = 12

 

26.1 (22.8-29.7), n = 14

p = 0.535

Table showing the pool estimate (%), 95% confidence interval (CI), number of studies (n), meta-regression coefficient (β) and significance of β (p-value). p-values in bold print represent significant associations (p < 0.10).

We also performed further analyses on the correlation between age and percentage of married MSM by the Spearman correlation coefficient (r).

Results

Trial Flow/Flow of included studies

We identified 707 articles from four electronic databases (103 in PubMed, 133 in CQVIP, 231 in CNKI and 240 in Wanfang); we also identified 22 articles from an internet search and reference lists of published articles. Due to duplication of articles and unrelated topics, we excluded 552 articles after screening the titles. We screened the abstracts of the remaining 177 articles, following which 25 articles were excluded because 20 were non peer-reviewed theses and five were conference presentations or abstracts. The remaining 152 articles were eligible for full-text screening; we further excluded 109 articles (64 did not report bisexual behaviour; 38 reported condom use with female partners in last twelve months; four did not report the study site; two reported condom use in last three months and one reported condom use in the last one month only). Finally, we included 43 articles (11 in English and 32 in Chinese) in a qualitative and quantitative synthesis (Figure 1).
https://static-content.springer.com/image/art%3A10.1186%2F1471-2334-11-242/MediaObjects/12879_2011_Article_1578_Fig1_HTML.jpg
Figure 1

Flow chart for selection of studies with number of articles (N) and number of estimates (n).

Study characteristics

The sample size of identified studies ranged from 55 to 4983 (median: 365; IQR: 201-480). Among 43 studies, two did not identify the study base [23, 24] and approximately 73% (30/41) of studies recruited MSM participants from MSM venues. Five studies [2529] reported the condom use rate between MSM and female sex workers. Two studies [28, 30] reported the condom use rate between MSM and regular/non-commercial casual female sexual partners. Only two studies [5, 16] reported the percentage of married and unmarried MSM who had sex with female in the last six months. The majority of studies recruited MSM participants from MSM venues such as gay bars, sauna and bathrooms (Table 1).

Quantitative data synthesis

Marital status

It was estimated that 17.0% (95% CI: 15.1-19.1%) of MSM in China are currently married (Figure 2). High and significant heterogeneity (I 2 = 93.56, p < 0.001) existed and the publication bias was marginally significant (p = 0.03). Meta-regression analysis showed that heterogeneity was explained by the size of study (β = -0.335, p = 0.090) and recruitment method (β = -0.203, p = 0.035) (Table 2). Studies with a small sample size (< 200) and participants recruited from MSM venues were more likely to report a higher marriage rate than large studies conducted in non-MSM venues. In addition, a significant association (r = 0.816, p < 0.0001) between the mean age of the sampled MSM cohorts and the current marital status (Figure 3) was observed, which indicates that older MSM are more likely to be married compared to younger MSM.
https://static-content.springer.com/image/art%3A10.1186%2F1471-2334-11-242/MediaObjects/12879_2011_Article_1578_Fig2_HTML.jpg
Figure 2

Forest plot of pooled estimates of percentage of married MSM in China.

https://static-content.springer.com/image/art%3A10.1186%2F1471-2334-11-242/MediaObjects/12879_2011_Article_1578_Fig3_HTML.jpg
Figure 3

Correlation between mean age of MSM in China and the percentage of MSM who are currently married.

Bisexual behaviour of MSM

The random effects model revealed that approximately 26.3% (95% CI: 23.6-29.1%) of MSM had female sexual partners in the last six months (Figure 4a); no significant publication bias existed (p = 0.353). High and significant heterogeneity between studies existed (I 2 = 95.27, p < 0.001) in the meta-analysis. Only one study factor (recruitment method) was significantly associated with this heterogeneity (β = -0.139, p = 0.059) (Table 2). Studies which recruited participants from gay venues were more likely to have female sexual partners in the last six months than MSM recruited from non-gay venues.
https://static-content.springer.com/image/art%3A10.1186%2F1471-2334-11-242/MediaObjects/12879_2011_Article_1578_Fig4_HTML.jpg
Figure 4

Forest plot of pooled estimates of percentage of (a) MSM; and (b) married and unmarried MSM who had female partners in last six months.

A comparison of the bisexual behaviours between married and unmarried MSM showed that married MSM (83.9%, 95% CI: 71.1-91.8%) were more likely to have female sexual partners than unmarried MSM (23.9%, 95% CI: 14.7-36.5%) in last six months (Figure 4b) (χ2 = 490.4, p < 0.001). No significant publication bias was observed (p = 0.851).

Condom use with female partners

The pooled estimate of levels of condom use between MSM and their female partners during 2005-2008 was 41.4% (95% CI: 35.5-47.5%) at last sex act (Figure 5a) with significant heterogeneity (I 2 = 78.46, p < 0.001) throughout these studies. Meta-regression analysis showed that two study characteristics, language of articles (β = -0.282, p = 0.058) and recruitment method (β = 0.368, p = 0.068), significantly contributed to this relatively high heterogeneity (Table 2). Since the sample size and time period were collinear with other study factors in the meta-regression model, these two study characteristics were both excluded by the meta-regression model. There was no significant publication bias in this meta-analysis (p = 0.273).
https://static-content.springer.com/image/art%3A10.1186%2F1471-2334-11-242/MediaObjects/12879_2011_Article_1578_Fig5_HTML.jpg
Figure 5

Forest plot of (a) condom use with overall female partners in the last sex act; and (b) reported consistent condom use with overall female partners in last six months.

Consistent condom use with female sexual partners in last six months was 25.6% (95% CI: 23.0-28.4%) during the period of 2002-2008 (Figure 5b). Moderate heterogeneity was observed between studies (I 2 = 70.14, p < 0.001), but we found that none of the study characteristics was significantly associated with this heterogeneity (Table 2). There was no significant publication bias observed (p = 0.140).

Condom use among MSM with commercial female partners was also analysed according to identified studies (three reported condom use at last act [25, 27, 29], and five reported rates of consistent use in the last six months [2529]). The pooled estimates of condom use in commercial partnerships were 80.3% (95% CI: 60.4-91.6%) (I 2 = 0.00, p = 0.602) at last sex act and 55.8% (95% CI: 41.4-69.4%) (I 2 = 4.50, p = 0.327) in the last six months (Figure 6). No significant publication bias was observed in either of the stratified analyses (p = 0.602 and 0.327 for last sex act and last six months, respectively). Since heterogeneities were low and not significant in both stratified meta-analyses, meta-regression analysis was not performed.
https://static-content.springer.com/image/art%3A10.1186%2F1471-2334-11-242/MediaObjects/12879_2011_Article_1578_Fig6_HTML.jpg
Figure 6

Forest plot of (a) condom use with commercial female partners in the last sex act; and (b) reported consistent condom use with commercial female partners in last six months.

Two studies reported the consistent condom use with regular and non-commercial causal female partners in the last six months [28, 30]. In comparison with commercial partnerships, condom usage rates in regular and non-commercial casual partnerships were much lower, estimated to be 23.3% (95% CI: 11.25-42.1%) (I 2 = 77.37, p = 0.036) and 39.0% (95% CI: 28.8-50.3%) (I 2 = 0.00, p = 0.240), respectively (Figure 7). Publication bias could not be assessed due to lack of studies in both stratified meta-analyses.
https://static-content.springer.com/image/art%3A10.1186%2F1471-2334-11-242/MediaObjects/12879_2011_Article_1578_Fig7_HTML.jpg
Figure 7

Forest plot of condom use with (a) regular female partners; and (b) non-commercial casual female partners in last six months.

Discussion

Our meta-analysis showed that approximately 17.0% of MSM are currently married to a female in China, which is consistent with another recent review which reported an average of 17.5% [17]. In contrast, the percentage of MSM who are married in most Western developed countries is much lower. Only 1.5-3.0% of MSM are currently married to a woman in the United States [3133] and 7.9% in Australia [34]; however, higher rates of marriage among MSM were observed in some other developing countries (for example, 35-42% in India [35, 36]). There is generally greater acceptance and legitimacy of gay identity, gay marriage or cohabitation relationships and less social stigma, discrimination and family pressure in developed countries. Previous studies showed that only 11-17% of Chinese MSM disclosed their homosexual sexual orientation to their wives [37, 38] and 1% of them disclosed to their children [37]. Due to the high prevalence of bisexual behaviours among MSM in China, this group is very likely to facilitate HIV transmission to the female population to a much greater extent than occurs in most countries where HIV predominantly affects MSM. Our review provides a timely synthesis of current evidence of bisexual behaviours among MSM in China, which could inform the implementation of effective intervention programs.

Previous available studies indicated that Chinese MSM had an average of 1-5 female sexual partners in the last six months [7, 8, 39, 40]. Additionally, we estimated that a higher proportion (83.9%) of married MSM have had female sexual partners than unmarried MSM (23.9%). However, only 16.2% and 28.5% of married and unmarried MSM have had consistent condom use with their female partners in the past six months, respectively [5]. Fifty-eight percent of married MSM had concurrent male and female sexual partners in last six months, hence putting their wives at a greater risk of HIV infection [41].

Partnership type had strong influences on condom use of MSM. In general, condom usage at last sex act between MSM and overall female sexual partners was estimated to be 41.4% (95% CI: 35.5-47.5%); but only 25.6% (95% CI: 23.0-28.4%) of MSM used condoms consistently in the last six months. A study in 2004 found that 31.8% of MSM had regular female sex partners, 6.0% had non-commercial casual female sex partners and 4.5% had commercial female sex partners [14]. Among three specific partnership types, consistent condom use was estimated to be the greatest in commercial partnerships (55.8%, 95% CI: 41.4-69.4%), followed by non-commercial casual partnerships (39.0%, 95% CI: 28.8-50.3%) and regular partnerships (23.3%, 95% CI: 11.2-42.1%). In general, reasons of low condom use with partners mainly included: emotional and physical sensation, availability of condoms, and loyalty and trust [5, 25]. In addition, sexual abuse was common in China. It was reported that 30% of wives were abused by their homosexual or bisexual husbands to relieve their mental pressure from social stigma and discrimination [42]. This indicated that regular sexual partners of Chinese MSM were often not empowered to negotiate for protected sexual intercourse with their male partners.

Several limitations of our study must be noted. First, the selected studies in this review recruited MSM participants predominantly from major urban Chinese cities. Bisexual behaviour such as MSM who have female sexual partners and condom usage may be significantly different between urban and rural regions. Second, based on our search criteria, we could not identify any studies on condom use at the last sex act in the South Central region or consistent condom use in the last six months in the Northwest region. Our pooled estimates of condom usage may not be representative for the entire MSM population in China. Third, very few studies reported bisexual behaviours stratified according to their marital status and partnership types. This substantially limited the strength of meta-analysis in these cases. Fourth, due to insufficient description of some studies, we were unable to classify whether the sexual contacts between MSM and female was penile-vaginal intercourse, penile-anal intercourse or oral sex. Male-to-female anal contacts often had a higher risk of HIV transmission than vaginal contact [43]. Due to reproductive reasons, MSM might not use condoms during vaginal sex but they may use condoms in anal sex. Since vaginal intercourse was more common than anal intercourse in male-female partnership, we assumed all condom usage estimates were associated with vaginal sexual intercourse. Fifth, due to limited number of studies available, we were unable to investigate the associations between the age of MSM and consistent condom use in different geographical locations and with different types of partnerships. For the same reason, the contribution of age to the heterogeneity of the studies could not be investigated. Sixth, our study only addressed the overall MSM population; specific populations such as male sex workers ('money boys') were not included in this study. In China, 'money boys' have become one of the emerging high-risk sub-populations in gay communities in recent years [44]. However, very few epidemiological and socio-behavioural studies have focused on this population to date. Limited studies indicated that Chinese 'money boys' are usually younger than the overall MSM population and unmarried [38, 4547]. An estimated 71% of Chinese money boys had 1-3 male clients and 11% had more than 10 clients per week [38]. Approximately 27% of money boys had female clients in last six months [48]. Unprotected sex with both male and female clients was very common (59.4% and 55.6%, respectively) [38]. A survey in 2007 found that 43% of the money boys had female sexual partners but only 36% reported consistent condom use in the last six months [45]. Money boys were more likely to move between major cities to earn extra income from the commercial sex industry and hence they may be a particularly important population for transmitting HIV in different geographical locations [49]. These characteristics may result in the population of money boys becoming the core group for HIV transmission among MSM and the general population [44, 45]. Further investigations are necessary to understand the behaviours of this sub-population in China.

Moderate to high heterogeneities were observed in the conducted meta-analyses. Given the limited details of study information, we only investigated five potential study characteristics associated with the heterogeneity in the meta-regression model. Recruitment method was found to be the major study characteristic associated with high heterogeneity in the stratified meta-analyses (associated with marital status, percent of MSM who had female sex partners and condom use at last sex act). Furthermore, we postulate that several other factors, including geographical Chinese regions, age of MSM and migrant status, may also be associated with the heterogeneity observed, although these factors could not be assessed by meta-regression due to limited data. Other study variables such as the quality of interviewers, questionnaire or marital status of MSM were not reported in the collated studies but may also contribute to the heterogeneities across studies.

MSM is a population highly susceptible to the emerging HIV epidemic in China [9, 50, 51]. Further studies on specific sub-populations of MSM, such as money boys, transgender MSM, MSM who inject drugs and bisexual MSM, are necessary to understand their sexual behaviours and contribution to the HIV transmission within and beyond the MSM population. Currently, there are no specific public health interventions targeting bisexual MSM in China. Our results indicate that MSM recruited at MSM venues were more likely to be currently married, had sex with females in last six months, and had unprotected sex with females. Harm-reduction interventions such as distribution of condoms and lubricants to bisexual MSM may be implemented at MSM venues and further expanded to the wider communities. Given the low condom usage between MSM and their regular female partners, public health intervention strategies should particularly target married MSM and their regular female partners. Sexual behaviour and condom use rates with different partnerships should be clearly identified in the future social-behavioural surveys in order to understand the bisexua behaviour among MSM and to curb the spread of HIV transmission from MSM to the overall female population.

Conclusion

Men who have sex with men are a population that is highly susceptible to the rapid spreading HIV infection in recent years. Our study shows that a substantial proportion of MSM is currently married or has had sex with a female in the past six months. Consistent condom use rates are low among partnerships with regular females. Our findings imply that the general female population, as regular partners of MSM, has a high risk of contracting HIV infection that are bridged from their bisexual male partners. Scale-up of the harm-reduction interventions and health educations for bisexual MSM and their female partners are necessary to halt the further spread of HIV into the general female population.

Declarations

Acknowledgements

This study was funded from the following sources: the Australian Government Department of Health and Ageing; the University of New South Wales; the World Bank Global HIV/AIDS Program; and grant no FT0991990 from the Australian Research Council. The views expressed in this publication do not necessarily represent the position of the Australian Government. The Kirby Institute is affiliated with the Faculty of Medicine, University of New South Wales.

Authors’ Affiliations

(1)
The Kirby Institute for infection and immunity in society, University of New South Wales
(2)
CFI Building, Corner of West and Boundary Streets

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