Xiao Gui-Yuan, Peng Bin, Hu Ying, Qu Dou, Lai Min-Qing, Gong Yu, Zhao Feng-Lan, Yi Hong, Jia Yu, Zhou Wei-Kang, Lei Shan-Chuan, Wang Sha-Li, Xia Jing, Lv Deng-Zhi, Geng Shan, Bai Rong-Li, Zhong Xiao-Ni
1 Department of Health Statistics, School of Public Health, Chongqing Medical University,Chongqing, China.
2 Department of Dermatology, The 13th People's Hospital of Chongqing (The Geriatric Hospital of Chongqing), Chongqing, China.
Int J STD AIDS. 2019 Mar;30(4):353-361. doi: 10.1177/0956462418804652. Epub 2018 Nov 28.
With the objective of investigating the characteristics influencing high-risk sexual behaviours in elderly men (60-74 years of age) in Chongqing, China, a total of 1433 healthy elderly men with sexual intercourse frequencies of one to six times/month who were willing to participate in the questionnaires were studied at four hospitals. We measured serum testosterone levels and performed follow-ups every six months, with a total of 1128 elderly men followed up after two years. We also investigated socio-economic and demographic characteristics (age, education, income, location, marital status and number of marriages), types of sexual partners, age differences with fixed sexual partners, frequency of sexual intercourse, combined basic age-related diseases, sexually transmitted infections (STIs) education, elderly self-care ability and high-risk sexual behaviours (frequency of sexual intercourse and number of sexual partners) using questionnaires. We analysed the influencing factors of high-risk sexual behaviours in elderly men using a univariate analysis, multivariate logistic regression analysis, BP neural network prediction and cluster analysis. Finally, we found that serum total testosterone, age, types of sexual partners, age differences with fixed partners and frequency of sexual intercourse are five factors that influence high-risk sexual behaviours in elderly men.
为了调查影响中国重庆60至74岁老年男性高危性行为的特征，在四家医院对1433名每月性交频率为1至6次且愿意参与问卷调查的健康老年男性进行了研究。我们测量了血清睾酮水平，并每六个月进行一次随访，两年后共有1128名老年男性接受了随访。我们还通过问卷调查调查了社会经济和人口特征（年龄、教育程度、收入、地点、婚姻状况和婚姻次数）、性伴侣类型、与固定性伴侣的年龄差异、性交频率、合并的基本老年相关疾病、性传播感染（STIs）教育、老年人自我护理能力和高危性行为（性交频率和性伴侣数量）。我们使用单因素分析、多因素逻辑回归分析、BP神经网络预测和聚类分析来分析老年男性高危性行为的影响因素。最后，我们发现血清总睾酮、年龄、性伴侣类型、与固定伴侣的年龄差异和性交频率是影响老年男性高危性行为的五个因素。
