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

Abstract

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.

Depressive Symptoms and Associated Factors among Employees in Public Utility Places of Zhejiang Province, China

“…The survey results showed that the prevalence of depressive symptoms among employees in Zhejiang Province's public utility places was 17.9%, which was similar to the results among the Chinese labour force in 2016 (17.3%) and in-service employees in 2018 (19.3%) studied by Guoying Zhang [26]. Although the prevalence of depressive symptoms among employees of public utility places is lower compared with the elderly and the highstress occupational groups (44.1-55.2%) [36,37], nearly 20% is still a shocking proportion because these people are the main labour force in society and the spiritual and economic support of a family, and they should be very healthy.…”

The impact of chronic insomnia disorder on menstruation and ovarian reserve in childbearing-age women: A cross-sectional study

“…Furthermore, 48 individuals (47.06%) displayed significant anxiety, and 24 individuals (23.53%) suffered from severe depression (Table 2). It is well-established that sleep and mental disorders are interrelated [28]. Although limited evidence links anxiety and depression with ovarian function, we included emotional factors as candidate variables in our investigation.…”

Sleep quality and mental health among Chinese nurses after the COVID-19 pandemic: A moderated model

“…The relationship between sleep quality and poor mental health outcomes, such as anxiety and depression, remains uncertain [22]. This implies that poor sleep quality may contribute to the development of anxiety and depression, which is supported by a significant body of literature [23][24][25][26]. Moreover, A recent study utilizing Mendelian randomization methodology has identified insomnia as a causal factor contributing to the development of anxiety [27].…”