This study found no association between PrEP adherence and social psychological factors, and the main objective factor in non-adherence was forgetting to take the medicine. In the future, the MSM population could be reminded to take their medicine regularly using electronic devices, which may improve PrEP adherence to some extent and may further reduce the incidence of HIV. The strategy to improve PrEP adherence requires further study.

This research examines the level of pre-exposure prophylaxis (PrEP) self-efficacy among HIV-negative men who have sex with men (MSM) in China and identifies the influencing factors associated with the level of PrEP self-efficacy in terms of social-demographic characteristics and social psychological factors. The data were gathered from a baseline assessment of a longitudinal randomized controlled intervention trial. From April 2013 to March 2015, nonprobability sampling was used to recruit HIV-negative MSM at Chongqing, Guangxi, Xinjiang, and Sichuan in west China. A total of 1884 HIV-negative MSM were analyzed. Chi-square test and nonparametric rank sum test were used for univariate analysis. Multivariable linear regression analysis was used to discuss the factors that influence the level of PrEP self-efficacy. Overall levels of PrEP self-efficacy were low, and five factors were found to effect PrEP self-efficacy: age, residence, AIDS-related knowledge, PrEP-related motivation, and anxiety. Age and anxiety score were negatively related to PrEP self-efficacy. The higher the age and anxiety score, the lower the PrEP self-efficacy. AIDS-related knowledge and PrEP-related motivation were actively related to PrEP self-efficacy. The higher the knowledge and motivation score, the higher the PrEP self-efficacy. In addition, the PrEP self-efficacy level of MSM in rural areas is lower than that in urban areas. The lower level of self-efficacy in the MSM population needs to be improved. Pertinent interventions should be taken to promote the self-efficacy of PrEP in MSM, to enhance their willingness to take medicine, improve their medication adherence, and thus reduce HIV infection among MSM.

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.