Prevalence and network analysis of internet addiction, depression and their associations with sleep quality among commercial airline pilots: A national survey in China.
Journal: Journal of affective disorders
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Affiliated Institutions:
Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau; Centre for Cognitive and Brain Sciences, University of Macau, Macau. Electronic address: yc@um.edu.mo.
Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau; Centre for Cognitive and Brain Sciences, University of Macau, Macau. Electronic address: yc@um.edu.mo.
Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau. Electronic address: mc@connect.um.edu.mo.
Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau. Electronic address: mc@um.edu.mo.
Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau. Electronic address: mc@um.edu.mo.
School of Public Health, Shanghai Jiao Tong University, Shanghai, China. Electronic address: zhang_@sjtu.edu.cn.
School of Public Health, Shanghai Jiao Tong University, Shanghai, China. Electronic address: tauriel@sjtu.edu.cn.
School of Public Health, Shanghai Jiao Tong University, Shanghai, China. Electronic address: zj@sjtu.edu.cn.
School of Public Health, Southeast University, Nanjing, China. Electronic address: szh@utexas.edu.
School of Nursing, Hong Kong Polytechnic University, Hong Kong. Electronic address: teris.cheung@polyu.edu.hk.
Section of Psychiatry, University of Notre Dame Australia, Fremantle, Australia; Division of Psychiatry, School of Medicine, University of Western Australia, Perth, Australia.
Department of Psychology, University of Macau, Macau. Electronic address: toddjackson@um.edu.mo.
Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau; Centre for Cognitive and Brain Sciences, University of Macau, Macau. Electronic address: xyutly@gmail.com.
School of Public Health, Shanghai Jiao Tong University, Shanghai, China; Sanya Maternal and Child Health Hospital, No. , Yingbin Rd, Jiyang District, Hainan, China. Electronic address: xiang-sjtu@hotmail.com.
Abstract summary
Airline pilots are members of a unique occupational group that is often confronted with sleep routine disruptions, yet relatively few studies have examined their mental health status. This study assessed the prevalence and network structure of internet addiction, depression and sleep quality problems in commercial airline pilots.A total of 7055 airline pilots were included in analyses. Internet addiction and depression were measured with the Internet Addiction Test (IAT) and 9-item Patient Health Questionnaire (PHQ-9), respectively. Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). The network model was constructed based on an Ising model and its association with sleep quality were evaluated using a flow procedure.Internet addiction, depression and sleep quality were common among airline pilots. The prevalence of internet addiction was 8.0 % (95 % CI: 7.3-8.6 %), while the rates of depression and poor sleep quality were 23.3 % (95 % CI: 22.3-24.2 %) and 33.0 % (95 % CI: 31.9-34.1 %), respectively. In the depression and internet addiction network model, "Fatigue" (PHQ4; Expected Influence (EI): 2.04) and "Depressed/moody/nervous only while being offline" (IAT20; EI: 1.76) were most central symptoms, while "Fatigue" (PHQ4; Bridge EI: 1.30) was also the most important bridge symptom. The flow network model of sleep quality with internet addiction and depression showed that "Appetite" (PHQ5) had the strongest positive association with poor sleep quality.Internet addiction, depression and sleep quality were common among airline pilots and warrant regular screening and timely treatment. Strategies to improve sleep hygiene may be useful in preventing onsets or exacerbations in depression and internet addiction among airline pilots.
Authors & Co-authors:
Sun
Chen
Zhang
Si
Li
Zhu
Zhang
Chen
Zhang
Su
Cheung
Ungvari
Jackson
Xiang
Xiang
Study Outcome
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