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作 者:孙群露[1] 安霞 饶兆伟 涂玉山[1] 饶展宏 毛美玲 李彤 李晓雯 林爱华[2] SUN Qun-lu;AN Xia;RAO Zhao-wei;TU Yu-shan;RAO Zhan-hong;MAO Mei-ling;LI Tong;LI Xiao-wen;LIN Ai-hua(Baoan District Center for Disease Control and Prevention,Shenzhen,Guangdong 518100,China;School of Public Health,Sun Yat-Sen University,Guangzhou,Guangdong 510080,China)
机构地区:[1]深圳市宝安区疾病预防控制中心,广东深圳518100 [2]中山大学公共卫生学院,广东广州510080
出 处:《实用预防医学》2020年第9期1064-1068,共5页Practical Preventive Medicine
基 金:深圳市宝安区MSM人群社会网络与相关行为特征研究(0420160110808V1)。
摘 要:目的分析HIV阳性男男性行为者(men who have sex with men,MSM)的社会网络特征和社会支持现况及其影响因素,为改善该人群的社会支持提供依据。方法收集2017—2018年在深圳市宝安区疾病预防控制中心转介治疗的HIV阳性的MSM的相关资料,采用描述性流行病学方法进行分析。结果110例HIV阳性MSM中,报告105个核心社会网络,提名249个网络成员,网络大小(3.37±1.43),网络密度(0.86±0.21)。社会支持总分为(26.42±7.74)分,主观支持得分(15.24±4.88)分,客观支持得分(4.98±2.62)分,支持利用度得分(6.20±1.98)分。方差或t检验分析显示,不同社会网络大小,网络成员的性别、社会关系种类、文化程度构成、性取向构成以及是否和网络成员有性行为的HIV阳性MSM社会支持得分差异有统计学意义。多重线性回归分析显示,网络成员的文化程度构成、性取向构成、关系亲密度和网络成员有性行为是社会支持得分的影响因素。结论应尽可能提高HIV阳性MSM的社会支持。Objective To analyze the characteristics of social networks, current situation of social support and their influencing factors among HIV-positive men who have sex with men(MSM) so as to provide evidence for improving social support of MSM. Methods Data concerning HIV-positive MSM who were transferred to Baoan District Center for Disease Control and Prevention in Shenzhen from 2017 to 2018 were collected, and then analyzed by descriptive epidemiological methods. Results One hundred and five core social networks were reported by 110 HIV-positive MSM, and 249 network members were nominated. The network size was(3.37±1.43), and the network density was(0.86±0.21). The total score of social support and the scores of subjective support, objective support and availability of support were(26.42±7.74),(15.24±4.88),(4.98±2.62)and(6.20±1.98), respectively. Variance test or t-test showed that there were statistically significant differences in the score of social support among HIV-positive MSM with different characteristics of social networks, including different sizes of social networks, network members’ gender, different social relationships, educational level, sexual orientation and sexual behavior with network members. Multiple linear regression analysis revealed that network members’ educational level, sexual orientation, relationship intimacy and sexual behavior with network members were the factors influencing the score of social support. Conclusion Social support for HIV-positive MSM populations should be improved as much as possible.
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