BackgroundBurnout is a psychosomatic syndrome characterized by three dimensions (emotional exhaustion [EE], feelings of depersonalization [DP], and reduced personal accomplishment [PA]). We determined the prevalence of burnout and mental health status between HIV/AIDS healthcare workers and other healthcare workers, and determined the factors associated with burnout of HIV/AIDS healthcare workers.MethodsAll participants were asked to complete a self-administered questionnaire. The participants were recruited from the departments of infectious diseases in four hospitals which treated HIV/AIDS. The questionnaire included demographics, the Maslach Burnout Inventory-General Survey (MBI-GS), the Symptom Checklist 90 (SCL-90), the Eysenck Personality Questionnaire (EPQ), and the Trait Coping Style Questionnaire (TCSQ).ResultsA total of 512 questionnaires were distributed; 501 questionnaires were completed and collected (the response rate was 97.9 %). After eliminating nine invalid questionnaires (1.80 %), 264 physicians and nurses caring for HIV/AIDS and 228 physicians and nurses caring for other infectious diseases provided valid responses (98.2 %). The HIV/AIDS healthcare workers’ scores on the emotional exhaustion (F = 6.350, p = 0.012) and depersonalization dimensions (F = 8.533, p = 0.004) were significantly higher than other healthcare workers. The HIV/AIDS healthcare workers had higher total scores and positive items on the Symptom Checklist 90 (SCL-90) compared with other healthcare workers. Low job satisfaction, serious somatization, interpersonal sensitivity, poor quality of sleep, high psychoticism scores, and use of negative coping styles were frequently associated with burnout.ConclusionsBurnout was shown to be highly prevalent in HIV/AIDS healthcare workers, 76.9 % of whom met the accepted criteria for burnout. In addition, compared with other healthcare workers, HIV/AIDS healthcare workers experienced lower levels of psychological health. Interventions should be targeted at reducing the occurrence of burnout and alleviating psychological pressure amongst HIV/AIDS healthcare workers.

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The mental health of young college students has always been a social concern. Strengthening the supervision of college students’ mental health problems is an important research content. In this regard, this paper proposes to apply fuzzy cluster analysis to the health analysis of college students and explore college students through fuzzy clustering. Explore the potential relationship between the factors that affect the health of college students, and this will provide a reference for the early prevention and intervention of college students’ mental health problems. In view of this, an improved fuzzy clustering method based on the firefly algorithm is proposed. First, the Chebyshev diagram is introduced into the firefly algorithm to initialize the population distribution. Then, an adaptive step size method is proposed to balance exploration and development capabilities. Finally, in the local search process, a Gaussian perturbation strategy is added to the optimal individual in each iteration to make it jump out of the local optimal. The process has good optimization capabilities and is easy to obtain the global optimal value. It can be used as the initial center of the fuzzy C-means clustering algorithm for clustering, which can effectively enhance the robustness of the algorithm and improve the global optimization ability. In order to evaluate the effectiveness of the algorithm, comparative experiments were carried out on four datasets, and the experimental results show that the algorithm is better than the comparison algorithm in clustering accuracy and robustness.