Objective To understand the medical college students' knowledge,attitude and behavior of AIDS,and provide the basis for health education programmes.Methods 2 130 school students were recruited by cluster sampling method in one medical college,including 717 freshman,533 sophomore and 880 junior.Questionnaire was used to investigate AIDS-related knowledge,attitudes and behaviors to all of the 2 130 students.Results The correct answer rate was 80.72%,which was positively correlated with the grade,but the knowledge of non-AIDS transmission and detection techniques was still not very clear,such as mosquito bites,sharing towels and clothing with AIDS patients could spread the AIDS or not,the correct answer rate was just 36.7% and 54.3%.There was a certain attitude of discrimination in medical students on AIDS,79.9% of medical students were unwilling to shopping at the place of AIDS patients,and 76.4% were unwilling to have dinner with AIDS patients.Compared with the freshmen,high-grade students have higher knowledge level on HIV/AIDS,but their attitude to AIDS patients was poor.Conclusions Presently,medical students' recognizing on HIV/AIDS still have a long distance from the professional requirements,suggesting that AIDS health education in medical college students is necessary.

Objective: This cross-sectional study explores the serial multiple mediation of the correlation between internet addiction and depression by social support and sleep quality of college students during the COVID-19 epidemic. Methods: We enrolled 2,688 students from a certain university in Wuhu, China. Questionnaire measures of internet addiction, social support, sleep quality, depression and background characteristics were obtained. Results: The prevalence of depression, among 2,688 college students (median age [IQR]=20.49 [20.0, 21.0] years) was 30.6%. 32.4% of the students had the tendency of internet addiction, among which the proportion of mild, moderate and severe were 29.8%, 2.5% and 0.1%, respectively. In our normal internet users and internet addiction group, the incidence of depression was 22.6% and 47.2%, respectively. The findings indicated that internet addiction was directly related to college students’ depression and indirectly predicted students’ depression via the mediator of social support and sleep quality. The mediation effect of social support and sleep quality on the pathway from internet addiction to depression was 41.97% (direct effect: standardized estimate=0.177; total indirect effect: standardized estimate= 0.128). The proposed model fit the data well. Conclusion Social support and sleep quality may continuously mediate the link between internet addiction and depression. Therefore, the stronger the degree of internet addiction, the lower the individual’s sense of social support and the worse the quality of sleep, which will ultimately the higher the degree of depression. We recommend strengthening monitoring of internet use during the COVID-19 epidemic, increasing social support and improving sleep quality, so as to reduce the risk of depression for college students.

Objective: To analyze anxiety and its influencing factors of medical college students during the epidemic of COVID-19, so as to provide theoretical basis for targeted mental health promotion. Methods: Participants were selected through convenient sampling in 2 medical colleges, and general situation questionnaires, anxiety self rating scale(SAS), were csuected through questionnaire stars among to 6 276 medical college students anonymously through online platforms such as WeChat and QQ during the COVID-19 epidemic. Results: SAS scores of medical students was(38.52±7.76), anxiety detection rate was 8.9%. Anxiety detection rate varied significantly by gender, the frequency of protection alerting by the counselor, college level, residence, self reported health status, confirmed cases in the community, personal attention, disinfection, perceived risk of infection,as well as panic in the outbreak of COVID-19 (all P <0.05). Multivariate Logistic analysis showed that undergraduate( OR = 1.25 ), high perceived risk of infection( OR =1.71); extreme panic ( OR =2.75) were associated with high detection rate of anxiety. Female students( OR =0.62), rural residents( OR =0.80), moderate health status( OR =0.06), in good health( OR =0.11), in excellent health( OR =0.30); know or don t know there were COVID-19 patients in their residential areas( OR =0.67), close attention to COVID-19 1-2 times/d( OR = 0.47 ), or frequently( OR =0.38); moderate inevitable disinfection( OR =0.53), few inevitable disinfection ( OR =0.32) were associated with low detection rate of anxiety. Conclusion During the epidemic of COVID-19, anxiety among the medical college students was high, which varies by gender and college level. Psychological adjustment, appropriate attention and positive attitude towards COVID-19 should be promoted among medical college students. School counsellors should pay more attention and care to students while providing COVID-19 information through various ways.

Objective: The purpose of this cross-sectional survey is to explore the current state of Internet addiction (IA) in Chinese medical students and its connection with medical students’ sleep quality and self-injury behavior. Methods: Respondents were came from Wannan Medical College, China. The Young’s Internet Addiction Test, Pittsburgh Sleep Quality Index (PSQI), Self-Harm Questionnaire were used in this cross-sectional survey. A total of 3,738 medical students were investigated, 1,552 (41.52%) males, 2,186 (58.48%) females. T-test, chi-square test and MANOVA were used for data analysis. Results: Of the 3,738 medical students, 1,054 (28.2%) reported having IA, 1,126 (30.1%) reported having poor sleep quality, 563 (15.1%) having self-harm behaviors. IA tends to be more female, upper grade students. The sleep quality of IA was worse than that of non-IA (χ2=54.882, p<0.001), and the possibility of self-injury was higher than non-IA (χ2=107.990, p<0.001). Conclusion This survey shows that the IA detection rate of medical students was 28.2%. Females, higher grade students had a higher IA detection rate. The low sleep quality and self-injury behavior of medical students are associated with IA.

OBJECTIVETo investigate the quality of life of elderly diabetic patients and its influencing factors.

METHODSBy randomized cluster sampling, we conducted a survey in 1450 elderly residents (over 60 years old) living in urban, suburban and rural areas in south and north Anhui province. We evaluated the quality of life of the elderly diabetic patients using a demographic information questionnaire and full items on Short Form (36) Health Survey (SF-36).

RESULTSThe elderly diabetic patients had lower scores in all dimensions of quality of life than the elderly without diabetes. Multiple linear regression analysis showed a linear regression in the quality of life among the elderly diabetic patients in terms of geographic regions, education, personality, sleep quality, and age.

CONCLUSIONElderly diabetic patients have generally poor quality of life, which was subjected to the influences by geographic regions, education, personality, sleep quality, and age, suggesting the necessity of corresponding interventions to improve the quality of life of these patients.

Aged ; Aged, 80 and over ; China ; epidemiology ; Diabetes Mellitus, Type 2 ; epidemiology ; Humans ; Middle Aged ; Quality of Life ; Regression Analysis ; Surveys and Questionnaires

Objective: To analyze the school adaptation and behavioral performance of the first batch of students who return to school during the COVID-19 epidemic, and to provide a theoretical basis for further development of corresponding intervention measures. Methods: The method of cluster sampling was adopted to conduct anonymous questionnaire survey on the first batch of college students who have returned to a certain university. The survey contents included the basic information of the students, the adaptability of the school after returning to school and the corresponding behavior performance. Results: Male students reported high lever of satisfaction than female students on the dormitory environment health (t=10.28, P<0.01), but low satisfaction on school security and logistical support (t=2.26, P=0.02), rural students marked higher score than urban students for the school closed management system (t=2.82, P=0.01), in terns of school security, Logistics, the degree of school s attention to the epidemic prevention and epidemic prevention, non only-child gave high score than the only children; In terms of their own behavior, the rate of seek medical treatment immediately when they develop COVID-19 related symptoms (68.1%) was lower than that of others (81.3%)(χ 2=223.88，P<0.01)；In addition, the percentage of respondents who chose to report COVID-19 related symptoms (79.5%) was lower than that of others (88.7%)(χ 2=97.49，P<0.01). A total of 2 671 college students (98.9%) were able to wear masks every day and 2 457 (90.9%) chose to improve their diet to improve their immunity. Conclusion The first batch of college students who return to school have a high level of satisfaction on school management, and can take active measures to adapt to the life back to school and commit self-protection, however targeted measures to are still needed further strengthen students health education.

Objective: To understand the current situation and influencing factors of Internet addiction among college students after returning to school during the COVID-19 epidemic, and to provide scientific basis for timely intervention measures to adjust the risk factors of Internet addiction. Methods: A cluster sampling method was adopted to conduct a questionnaire survey among 2 700 college students who firstly returned to college using general condition questionnaire and Internet Addiction scale. Results: The detection rate of Internet addiction disorder was 32.4% among returning college students, moreover, the detection rate of Internet addiction in male students(36.0%) was higher than that in female students (31.2%) (χ 2=5.42,P<0.05). The degree of Internet addiction was negatively correlated with the physical health score (r-s=-0.20) and mental health score (r-s=-0.24) of college students (P<0.01). Multivariate Logistic regression analysis showed that compared with introversion, neutral (OR=0.67, 95%CI=0.55-0.82) and extroverted college students (OR=0.59, 95%CI=0.48-0.74) were protective factors for Internet addiction; compared with no exercise, physical exercise ≥3 times or more per week (exercise 3-4 times：OR=0.67, 95%CI=0.51-0.87; ≥5 times：OR=0.67, 95%CI=0.50-0.90) were the protective factors for Internet addiction among college students; family loss during the epidemic was a risk factor for Internet addiction among college students (OR=1.34, 95%CI=1.12-1.60); the risk of Internet addiction was 2.13 times higher for college students who actively sought psychological help than for those who did not seek psychological help (95%CI=1.14-3.96); college students who did not want to go back to school had 1.50 times the risk of Internet addiction as those who did (95%CI=1.26-1.77). Conclusion The current situation of college students online behaviors during COVID-19 is not optimistic, and should arouse sufficient attention from society and universities. In addition, college students returning to school should take more physical exercises and psychological counseling to detect and intervene in psychological problems in time, reduce their psychological burden, and enhance their psychological quality.

Objective: To investigate the sleep quality and influencing factors of the first batch of college students returning to school during COVID-19 epidemic, so as to provide scientific basis for taking corresponding measures. Methods: An anonymous self-administered questionnaire survey was conducted among the first batch of college students returning from a certain university by cluster sampling, which included general demographic characteristics, Trait Coping Style Questionnaire (TCSQ) and Pittsburgh Sleep Quality Index(PSQI). Results: The detection rate of sleep disorders was 19.33%(522/2 701). The mother s education level was high school or technical secondary school or below(OR=2.24, 95%CI=1.47-3.41), never eat breakfast(OR=3.25, 95%CI=1.86-5.68), families were damaged during the outbreak (OR=1.48, 95%CI=1.17-1.87) and negative coping (OR=1.15, 95%CI=1.12-1.17) were risk factors for sleep disorders(P<0.05). Compared to having a very poor relationship with parents, the relationship between parents was average(OR=0.23, 95%CI=0.06-0.89), better(OR=0.23, 95%CI=0.06-0.87), very good (OR=0.19, 95%CI=0.05-0.74) were protective factors for sleep disorders(P<0.05). Exercise once or twice a week during the epidemic(OR=0.76, 95%CI=0.58-1.00), positive coping (OR=0.93, 95%CI=0.91-0.96) were protective factors for sleep disorders(P<0.05). Conclusion In this COVID-19 epidemic, the sleep quality of returning college students was affected to different extent, and the relationship between parents, sports, mother s education, breakfast habits, and family damage during the COVID-19 were factors affecting their sleep quality. Targeted psychological intervention measures should be given to returning college students in the early stage.

Objective: To investigate the mental health and influencing factors of college students during online learning under the coronavirus disease 2019 (COVID-19) epidemic, and to provide a scientific basis for mental health education. Methods: From June to July 2020, a cluster sampling method was used to select one medical and non-medical colleges and universities in southern Anhui Province. Among them, the Depression Anxiety and Stress Scale-21 (DASS-21) was used to conduct an online questionnaire survey among 3 781 medical and non-medical college students. Results: The reporting rates of depression, anxiety and stress among medical college students (30.03%, 31.05% and 14.50%, respectively) were lower than those of non-medical college students(44.49%, 46.22%, 24.81%)(χ2=81.49, 88.26, 63.08, P<0.05). During the online learning period of college students, the depression and anxiety were mainly moderate(18.43%, 20.68%), and the stress was mainly mild and moderate(9.41%, 5.29%). Multivariate Logistic regression analysis showed that non-medical students, poor parent relationships, poor relationships with fathers, teachers inadequate preparation before class, and dissatisfaction with online teaching results were prone to depression(OR=1.84, 1.28, 1.63, 1.75,1.24), anxiety (OR=1.79, 1.22, 1.65, 1.77, 1.19) and stress(OR=2.09, 1.41, 1.58, 1.29,1.48)(P<0.05). Girls were less prone to depression (OR=0.82) and anxiety(OR=0.74); College students who live in rural areas were more likely to have anxiety symptoms(OR=1.27); Senior students were more likely to feel stress(P<0.05). Conclusion The detection rate of depression, anxiety and stress negative emotion in college students was higher during online study. Families and schools should pay attention to the mental health of college students during online learning, and provide targeted psychological counseling for different students.