Objective: To analyze the status of sleep disorders and their influencing factors among Tibetan secondary school students in high altitude areas in China, so as to provide a reference for the improvement and intervention of sleep quality among Tibetan secondary school students in high altitude areas. Methods: From April to July, 2022, a questionnaire survey on demographic factors, sleep disorders, and lifestyle was conducted on 5 486 Tibetan secondary school students in the Lhasa, Shigatse, and Nagqu regions of Tibet, China, using stratified whole-group sampling. Descriptive statistics and Logistic regression analysis were used to analyze the sleep disorders of Tibetan secondary school students and their influencing factors. Results: The average score of PSQI for Tibetan secondary school students at high altitude was (5.67±3.23), and the detection rate of sleep disorders (PSQI>7) was 24.72% . There were significant differences in the prevalence of sleep disorders among different grades ( χ 2=23.95, P <0.01). Logistic regression analysis showed that interpersonal sensitivity, depression, anxiety, academic stress, falling asleep after midnight, sleep environment, and parental sleep disorders were positively associated with the occurrence of sleep disorders among Tibetan secondary school students ( OR =2.74, 1.68, 2.62, 1.32, 2.02, 1.85, 2.61, 1.31, 2.19, 2.88, 4.91, 2.94, 2.51, 1.36, P <0.05). Conclusion Tibetan secondary school students in high altitude areas have poor sleep quality and widespread sleep disorder problems, which should be given intervention and improvement. Schools and families should give secondary school students more guidance on appropriate exercise, and reduce academic stress to improve sleep quality and ensure healthy physical and mental development for secondary school students.

Objective: To understand the relationship between college students with different mobile phone addiction trends and adverse psychological problems such as depression and anxiety, so as to provide references for college students mental health intervention and prevention of mobile phone addiction. Methods: From 2018 to 2019, 1 824 college students from two universities in Henan were investigated for 5 follow up surveys of mobile phone addiction, depression, and anxiety, to understand the change trajectory of college students mobile phone addiction and its relationship with depression and anxiety. Results: The average score of mobile phone addiction among college students was (43.19±5.51) points, the detection rate of anxiety was 34.21%, and the detection rate of depression was 40.73%. In different urban and rural areas, class rankings, and sleep time, the differences in the scores of mobile phone addiction among college students were statistically significant ( F =3.65, 3.79, 3.82, P <0.05). Logistic regression analysis showed that compared with students in the mobile phone addiction group with a stable change trend, the high addiction increased group ( OR =3.21,95% CI =2.33-4.41) and the low addiction rapidly increased group ( OR=8.39，95%CI =5.08-13.78) had a higher risk of anxiety ( P <0.01), the high addiction increased group ( OR=3.31，95%CI =2.39-4.51), the low addiction rapidly increased group ( OR=4.51，95%CI =2.81-7.15) had a higher risk of depression ( P <0.01). Conclusion Colleges and universities should pay attention to the problem of mobile phone addiction among college students, especially those with a high concentration of mobile phone addiction, so as to effectively reduce the negative psychological problems of college students such as depression and anxiety.