Homosexuality, Male ; psychology ; Humans ; Male ; Risk-Taking ; Sexual Behavior ; psychology

China ; HIV Infections ; Homosexuality, Male ; Humans ; Incidence ; Male ; Risk Factors

Male homosexuality is a complex phenomenon which is universal and with unknown causes. Researchers believe that both biological and environmental factors have played a role in its pathogenesis. Researches focusing on genetics, neurobiology, development and endocrinology have made certain progress. In this paper, we have reviewed the biological causes of male homosexuality, which may provide clues for further research in this field.
Developmental Biology ; Endocrinology ; Homosexuality, Male ; Humans ; Male ; Neurobiology

China ; Demography ; HIV Infections ; HIV-1 ; Homosexuality, Male ; Humans ; Male

Bisexuality ; psychology ; Female ; HIV Infections ; prevention & control ; Health Promotion ; Homosexuality, Female ; psychology ; Homosexuality, Male ; psychology ; Humans ; Male ; Risk Reduction Behavior ; Singapore ; Transgender Persons ; psychology

Demography ; Homosexuality, Male ; psychology ; statistics & numerical data ; Humans ; Internet ; Male ; Surveys and Questionnaires

OBJECTIVETo explore the relevant factors of the causes of sexual orientations of gay.

METHODFrom March to June 2013, 350 gays were recruited from one music bar and three bath centers where gays frequently visited in Changsha city, by proportional stratified sampling method. Meanwhile, another 332 males who identify themselves as non-homosexuality were also recruited considering the composition of ages, gender and educational background. Questionnaire survey was conducted to all the subjects, with 300 effective ones reclaimed. The questionnaire included the general demographic information, traits of character, the condition of foster in childhood and information of family members. The differences between the gays and non-homosexuality groups were analyzed to explore the causes of the sexual orientations of gays.

RESULTSThere were statistical significant differences between gays and non- homosexuality group on following indexes (χ(2) was 59.63, 5.90, 16.01, 84.99, 161.57, 77.77, 112.32, 190.84, 30.10 respectively, all of P < 0.05) :had a tender father and an impervious mother, were physically weak, not agile, physically inactive, attentive to details, highly conservative, not adventurous, and radical in childhood, were raised as girls before the age of 18, liked to dress as girls before the age of 18, don't liked to play toy knives and toy guns before the age of 18, suffered from sexual abuse before the age of 18 (e.g. forced to expose private parts or forced to have sex) by adults, had read or watched books or films about homosexual and experienced sexual pleasure from that before the age of 18. The rate of gays on these indexes was separately 62.3% (187/300), 57.7% (173/300) , 62.3% (187/300) , 63.0% (189/300), 67.3% (202/300) , 62.7% (189/300), 68.0% (204/300), 65.0% (195/300) and the rate on these indexes of non-homosexuality group was separately 21.3% (64/300), 28.0% (84/300) , 25.0% (75/300) , 12.7% (38/300), 31.3% (94/300), 17.7% (53/300) , 12.7% (38/300), 42.7% (128/300) . The rate of gays on these factors:the youngest boy in family, had the father or twin brothers who were homosexual or self identified as gay was 62.7% (188/300), 56.0% (168/300) and 62.0% (18/29) respectively; and the rate was 40.7% (122/300), 4.0% (12/300) and 20.0% (2/10), respectively among non-homosexuality group. The difference showed statistical significance (χ(2) was 34.52, 193.14, 5.27 respectively, all of P < 0.05).

CONCLUSIONThe correlative factor of sexual orientation of gays maybe was family relationship, tend and education since childhood, psychological characteristics, sexual experience during puberty.

Adult ; Homosexuality, Male ; psychology ; statistics & numerical data ; Humans ; Male ; Sexual Behavior ; statistics & numerical data ; Surveys and Questionnaires

Adult ; China ; epidemiology ; GB virus C ; classification ; Hepatitis, Viral, Human ; epidemiology ; virology ; Homosexuality, Male ; Humans ; Male

OBJECTIVETo investigate the status of HIV disclosure to primary partners and to explore the correlates of HIV disclosure among HIV-infected men who have sex with men (MSM) in Guangzhou, Chongqing and Chengdu.

METHODSThis survey was conducted in Chengdu, Chongqing and Guangzhou by using "snowballing" sample from December, 2012 to May, 2013. Participants who were eighteen years old or elder, HIV-infected, had sex with men and lived in three cities when the survey was conducted were eligible for subjects of this survey. Primary partners and disclosure status of participants were investigated. Multiple Unconditioned Logistic Regression analysis was used to analyze the influence factors associated with HIV disclosure.Of 600 participants, 541 were excluded because of logical problem or incomplete items in questionnaire and the effective response rate was 90.2%.

RESULTSOf the 541 HIV-positive MSM participants, the mean age was (30.2 ± 7.7) years old, 78.2% (423/541) of the participants had male primary partners.Of the 423 participants who had male primary partner, 10.9% (46/423) had wife, 58.9% (249/423) had one primary partner, and 41.1% (174/423) had two or more. The proportion of HIV disclosure to all male primary sexual partners and wife was 41.8% (177/423) and 4.5% (19/423) respectively, 20.3% (86/423) of them disclosure to some of male primary partners and 37.8% (160/423) not disclosure to any male primary partners. Participants who had HIV-positive male partners in the past 6 months (accounting for 35.2% (149/423)) were more likely to disclose HIV infection to their primary sexual partners (70.5% (105/149)) than those who had non-HIV-positive sexual partners (26.3% (72/274)) (χ(2) = 77.46, P < 0.01). Participants who had male unknown HIV-status sexual partners in the past 6 months(accounting for 52.7% (223/423)) were less likely to disclosure HIV infection to primary sexual partners (22.4% (50/223) ) than those who had already known HIV-status sexual partners (63.5% (127/200)) (χ(2) = 73.11, P < 0.01). The possibility of HIV disclosure to primary sexual partner among participants who had HIV-positive sexual partner increase to 6.36 (3.75-10.80) times of those who had HIV -negative partners, and the possibility among participants who had sexual partners of unknown HIV status decreased to 0.44 (0.25-0.76) times of those who had sexual partners of already known HIV status. Compared with having non-anal sex behaviors with male primary partner, the possibility of HIV disclosure to primary sexual partner decreased to 0.46 (0.22-0.95) times among participants who had anal sex behavior with male primary partners.

CONCLUSIONThere were low proportion of HIV disclosure to primary sexual partners among HIV-infected MSM in Guangzhou, Chongqing and Chengdu.HIV disclosure to primary sexual partners may be associated with characteristics of their sexual partners, and participants who had HIV-positive male partners were more likely to disclose HIV infection to their primary sexual partners.

Adult ; China ; Cities ; Disclosure ; HIV Infections ; Homosexuality, Male ; Humans ; Male ; Sexual Behavior ; Sexual Partners

OBJECTIVETo study the practical survey method on estimating the size of male homosexual population.

METHODSNine male homosexual gathering spots were selected and three methods as division method, capture-mark-recapture method and multiplier method were applied in counting the numbers of homosexual men in one city in Sichuan province.

RESULTSNumber of counting through division method was 877 and the three numbers through capture-mark-recapture method were 1408, 1207 and 949 respectively. However, appropriate data was not obtained by multiplier method.

CONCLUSIONSDivision method was easy to operate with its high credibility, but costly. Capture-mark-recapture method was less costly less both in capital and time, and the results could be testified to each other. Multiplier method should be modified before applied to obtain reliable information.

China ; Homosexuality, Male ; statistics & numerical data ; Humans ; Male ; Statistics as Topic ; methods