Network Analysis of Comorbid Anxiety and Insomnia Among Clinicians with Depressive Symptoms During the Late Stage of the COVID-19 Pandemic: A Cross-Sectional Study

被引:12
|
作者
Cai, Hong [1 ,2 ,3 ,4 ]
Zhao, Yan-jie [1 ,2 ,3 ,4 ]
Xing, Xiaomeng [5 ,6 ,7 ]
Tian, Tengfei [5 ,6 ,7 ]
Qian, Wang [5 ,6 ,7 ]
Liang, Sixiang [5 ,6 ,7 ]
Wang, Zhe [5 ,6 ,7 ]
Cheung, Teris [8 ]
Su, Zhaohui [9 ]
Tang, Yi-Lang [10 ,11 ,12 ]
Ng, Chee H. [13 ]
Sha, Sha [5 ,6 ,7 ]
Xiang, Yu-Tao [1 ,2 ,3 ,4 ]
机构
[1] Univ Macau, Fac Hlth Sci, Dept Publ Hlth, Unit Psychiat, Zhuhai, Peoples R China
[2] Univ Macau, Inst Translat Med, Fac Hlth Sci, Zhuhai, Macao, Peoples R China
[3] Univ Macau, Ctr Cognit & Brain Sci, Zhuhai, Macao, Peoples R China
[4] Univ Macau, Inst Adv Studies Humanities & Social Sci, Zhuhai, Macao, Peoples R China
[5] Capital Med Univ, Natl Clin Res Ctr Mental Disorder, Beijing, Peoples R China
[6] Capital Med Univ, Beijing Anding Hosp, Beijing Key Lab Mental Disorders, Beijing, Peoples R China
[7] Capital Med Univ, Adv Innovat Ctr Human Brain Protect, Beijing, Peoples R China
[8] Hong Kong Polytech Univ, Sch Nursing, Hong Kong, Peoples R China
[9] Southeast Univ, Sch Publ Hlth, Nanjing, Peoples R China
[10] Emory Univ, Dept Psychiat & Behav Sci, Atlanta, GA USA
[11] Univ Melbourne, Melbourne Clin, Dept Psychiat, Richmond, Vic, Australia
[12] Univ Melbourne, St Vincents Hosp, Richmond, Vic, Australia
[13] Univ Melbourne, St Vincents Hosp, Dept Psychiat, Melbourne Clin, Richmond, Vic, Australia
来源
关键词
depression; anxiety; sleep; network analysis; health personnel; QUALITY-OF-LIFE; MENTAL-HEALTH; SLEEP; DISORDER; ASSOCIATION; CENTRALITY; OUTBREAK; FATIGUE; WORKERS;
D O I
10.2147/NSS.S367974
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: A high proportion of clinicians experienced common anxiety, insomnia and depression during the COVID-19 pandemic. This study examined the item-level association of comorbid anxiety and insomnia symptoms among clinicians who suffered from depressive symptoms during the late stage of the COVID-19 pandemic using network analysis (NA). Methods: Clinicians with depressive symptoms (with a Patients Health Questionnaire (PHQ-9) total score of 5 and above) were included in this study. Anxiety and insomnia symptoms were measured using the Generalized Anxiety Disorder Scale -7-item (GAD-7) and Insomnia Severity Index (ISI), respectively. Network analysis was conducted to investigate the network structure, central symptoms, bridge symptoms, and network stability of these disturbances. Expected influence (EI) was used to measure the centrality of index. Results: Altogether, 1729 clinicians were included in this study. The mean age was 37.1 [standard deviation (SD)=8.04 years], while the mean PHQ-9 total score was 8.42 (SD=3.33), mean GAD-7 total score was 6.45 (SD=3.13) and mean ISI total score was 8.23 (SD=5.26). Of these clinicians, the prevalence of comorbid anxiety symptoms (GAD-7 >= 5) was 76.8% (95% CI 74.82-78.80%), while the prevalence of comorbid insomnia symptoms (ISI >= 8) was 43.8% (95% CI: 41.50-46.18%). NA revealed that nodes ISI7 ("Interference with daytime functioning") (EI=1.18), ISI4 ("Sleep dissatisfaction") (EI=1.08) and ISI5 ("Noticeability of sleep problem by others") (EI=1.07) were the most central (influential) symptoms in the network model of comorbid anxiety and insomnia symptoms in clinicians. Bridge symptoms included nodes PHQ3 ("Sleep") (bridge EI=0.55) and PHQ4 ("Fatigue") (bridge EI=0.49). Gender did not significantly influence the network structure, but "having the experience of caring for COVID-19 patients" significantly influenced the network structure. Conclusion: Central symptoms and key bridge symptoms identified in this NA should be targeted in the treatment and preventive measures for clinicians suffering from comorbid anxiety, insomnia and depressive symptoms during the late stage of the COVID-19 pandemic.
引用
收藏
页码:1351 / 1362
页数:12
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