Prevalence of depression and its correlation with anxiety, headache and sleep disorders among medical staff in the Hainan Province of China

ObjectiveThis cross-sectional survey aimed to investigate the prevalence of depression among medical staff and its risk factors as well as the association between depression, anxiety, headache, and sleep disorders.MethodsStratified random cluster sampling was used to select medical staff from variou...

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Main Authors: Guangshuang Lu (Author), Shaobo Xiao (Author), Jiaji He (Author), Wei Xie (Author), Wei Ge (Author), Fanchao Meng (Author), Ying Yang (Author), Shengyuan Yu (Author), Ruozhuo Liu (Author)
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Published: Frontiers Media S.A., 2023-06-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Guangshuang Lu  |e author 
700 1 0 |a Guangshuang Lu  |e author 
700 1 0 |a Guangshuang Lu  |e author 
700 1 0 |a Shaobo Xiao  |e author 
700 1 0 |a Shaobo Xiao  |e author 
700 1 0 |a Jiaji He  |e author 
700 1 0 |a Jiaji He  |e author 
700 1 0 |a Wei Xie  |e author 
700 1 0 |a Wei Xie  |e author 
700 1 0 |a Wei Ge  |e author 
700 1 0 |a Fanchao Meng  |e author 
700 1 0 |a Fanchao Meng  |e author 
700 1 0 |a Ying Yang  |e author 
700 1 0 |a Ying Yang  |e author 
700 1 0 |a Shengyuan Yu  |e author 
700 1 0 |a Shengyuan Yu  |e author 
700 1 0 |a Ruozhuo Liu  |e author 
700 1 0 |a Ruozhuo Liu  |e author 
245 0 0 |a Prevalence of depression and its correlation with anxiety, headache and sleep disorders among medical staff in the Hainan Province of China 
260 |b Frontiers Media S.A.,   |c 2023-06-01T00:00:00Z. 
500 |a 2296-2565 
500 |a 10.3389/fpubh.2023.1122626 
520 |a ObjectiveThis cross-sectional survey aimed to investigate the prevalence of depression among medical staff and its risk factors as well as the association between depression, anxiety, headache, and sleep disorders.MethodsStratified random cluster sampling was used to select medical staff from various departments of four hospitals in Sanya City. The Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale (SAS), and Pittsburgh Sleep Quality Index (PSQI) were used to quantitatively assess depression, anxiety, and sleep disorders. Correlation and regression analyses were performed to determine factors affecting the depression occurrence and scores.ResultsAmong 645 medical staff members, 548 (85%) responded. The 1-year prevalence of depression was 42.7% and the prevalence of depression combined with anxiety, headache, and sleep disorders was 23, 27, and 34.5%, respectively. The prevalence of depression in women, nurses, the unmarried or single group, and the rotating-shift population was significantly higher than that in men (48.3% vs. 27.1%, odds ratio OR = 2.512), doctors (55.2% vs. 26.7%, OR = 3.388), the married group (50.5% vs. 35.8%, OR = 1.900), and the day-shift population (35.2% vs. 7.5%, OR = 1.719). The occurrence of depression was correlated with anxiety, sleep disorders, headache, and migraines, with anxiety having the highest correlation (Spearman's Rho = 0.531). The SDS was significantly correlated with the SAS and PSQI (Spearman's Rho = 0.801, 0.503) and was also related to the presence of headache and migraine (Spearman Rho = 0.228, 0.159). Multiple logistic regression indicated that nurse occupation and anxiety were risk factors for depression, while grades of anxiety, sleep disorders and nurse occupation were risk factors for the degree of depression in multiple linear regression.ConclusionThe prevalence of depression among medical staff was higher than that in the general population, especially among women, nurses, unmarried people, and rotating-shift workers. Depression is associated with anxiety, sleep disorders, headache, and migraines. Anxiety and nursing occupation are risk factors for depression. This study provides a reference for the promotion of occupational health among medical professionals. 
546 |a EN 
690 |a prevalence 
690 |a depression 
690 |a anxiety 
690 |a headache 
690 |a sleep disorders (SD) 
690 |a medical staff 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Frontiers in Public Health, Vol 11 (2023) 
787 0 |n https://www.frontiersin.org/articles/10.3389/fpubh.2023.1122626/full 
787 0 |n https://doaj.org/toc/2296-2565 
856 4 1 |u https://doaj.org/article/9352d8801c1b4b879210cf76ce1b2319  |z Connect to this object online.