1.A cross-sectional study on physicaly violent behavior among youth males in Chengdu, Sichuan province
Xiaoling LI ; Junmei HU ; Fei FENG ; Fengsu HOU ; Ping YUAN
Chinese Journal of Epidemiology 2014;35(7):806-808
Objective To investigate the prevalence of physically violent behavior among 18-34 years old males in Chengdu.Methods 2 151 males aged 18-34 years was recruited in Chengdu,using a multistage stratified random sampling method."Men' s health and modem lifestyles survey questionnaire" was adopted to collect information on demography,physical violent behavior,attitude and reactions to violence.Results Self-reported prevalence of physical violent behavior since 15 years of age among those 18-34 year-old males was 51.8%.17.8% of the young males reported having violent behavior in the past 5 years,but the prevalence declined progressively with age (P<0.01).People who were religious or remained single had higher prevalence rates than those non-religious,married or having regular sex partners (P<0.01).Prevalence seemed relatively high in students or workers at service/commercial fields,with rates as 24.5% and 20.3%.Conclusion Data from our study suggested that physical violence was an important problem among young males in Chengdu.Factors as being young,single,divorced or widowed were associated with self-reported violent behavior.People who were religious,being students or working at the service/commercial fields seemed to be under high risk of carrying physical violence.
2.Cluster analysis of sexualized drug use among men who have sex with men and its impact on high risk sexual behaviors in Chengdu
Xiaoting CHEN ; Yuqi CAI ; Lanxia GAN ; Fengsu HOU ; Xiao YANG ; Xiaodong WANG ; Chun HAO ; Jing GU ; Yuantao HAO ; Wangnan CAO ; Jinghua LI
Chinese Journal of Epidemiology 2023;44(2):268-275
Objective:To understand the characteristics of sexualized drug use (SDU) among men who have sex with men (MSM) in Chengdu and classify their behavioral patterns by applying the two-step cluster (TSC) algorithm and by exploring the association between SDU patterns and high risk sexual behaviors, in order to provide a reference basis for the development of HIV prevention interventions.Methods:Supported by an MSM-friendly organization in Chengdu from December 2021 to February 2022, MSM were recruited by on-site survey and peer referral to collect information on sociodemographics, SDU characteristics, sexual behaviors, STD diagnosis, and HIV status. TSC was performed to classify the characteristics of SDU, and the differences between groups were compared. Chi-square test and multiple binary logistic regressions were used to identify the relationship between SDU clusters and HIV-related risk sexual behaviors.Results:A total of 727 MSM were surveyed, and 39.8% (289/727) of the respondents reported SDU experience with a same-sex partner in the last six months. TSC clustered SDU-MSM into three behavioral pattern groups. There were significant differences in monthly income, types of drugs used for SDU, mode, frequency, polydrug use, multiple sexual partners, non-adherence to condom use, and group sex among the three groups of SDU-MSM ( P<0.05). Multivariate binary logistic regression analysis showed that the third category of SDU-MSM was 2.22 (95% CI: 1.06-4.66) times more likely than the first category not to use condoms consistently; the third and second categories were 2.82 (95% CI: 1.18-6.77) times and 8.78 (95% CI: 3.42-22.42) times. Conclusions:The prevalence of SDU among MSM in Chengdu was more than 1/3, and different SDU clustering pattern was associated with high-risk sexual behaviors. MSM with higher SDU frequency, drug use, and polydrug abuse are more difficult to adhere to condom use and more likely to have group sex and high risk sexual behaviors, increasing the risk of STD and HIV infection, and need to strengthen SDU surveillance and intervention.