Association of depressive symptoms, Internet addiction and insomnia among medical students in Anhui Province
10.16835/j.cnki.1000-9817.2023.08.012
- VernacularTitle:安徽省医学院校大学生抑郁与网络成瘾及失眠的关联
- Author:
JI Wenping, ZHANG Hongyan, TIAN Yinghan, YANG Cheng, WANG Song, SHI Yudong, HU Liangliang, WU Birong, XIA Lei
1
Author Information
1. Department of Postgraduate Training, Chaohu Hospital of Anhui Medical University, Hefei (238000) , China
- Publication Type:Journal Article
- Keywords:
Depression;
Sleep disorders;
Internet;
Behavior,addictive;
Mental health;
Regression analysis;
Students
- From:
Chinese Journal of School Health
2023;44(8):1174-1177
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the status of insomnia, Internet addiction, and depressive symptoms among medical students and to analyze the effect of Internet addiction on insomnia and the mediating role of depressive symptoms, in order to provide a basis for the development of targeted interventions and measurements for medical students.
Methods:A stratified whole group sampling method was used to select full-time college students from three medical universities in Anhui Province. The Chinese version of Insomnia Severity Index (ISI), Internet Addiction Test (IAT) scale and 9-item Patient Health Questionnaire (PHQ-9) were used to evaluate the symptoms of insomnia, Internet addiction and depressive in students. A multivariate Logistic regression analysis was used to explore the factors influencing insomnia among medical students and to analyze the relationship between insomnia with Internet addiction and depressive symptoms, respectively.
Results:The overall rate of Internet addiction was 49.5%, depressive symptoms was 39.5%, insomnia was 18.6%. High academic stress, and the presence of surrounding people diagnosed with COVID-19 were associated with a higher risk of insomnia ( P <0.05). The higher the level of Internet addiction (mild, OR =2.60; moderate/severe, OR =4.21) and depression. (mild, OR =6.35; moderate/severe, OR =19.32), the higher the risk of insomnia. Mediated effect analysis showed that Internet addiction had a direct predictive effect ( β =0.02, P <0.05) on insomnia and also indirectly affected insomnia through depression (indirect effect=0.07，95% CI =0.06-0.08).
Conclusion:The detected rates of insomnia, Internet addiction and depressive symptoms are high among medical students in Anhui Province, and Internet addiction and depressive symptoms are risk factors for insomnia, which should be given more attention and appropriate interventions when necessary to improve their physical and mental health.
