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.
Background The aim of this cross-sectional survey was to investigate the prevalence of depression in medical staff and its risk factors, as well as the association between depression, anxiety, headache, and sleep disorders. Methods Stratified random cluster sampling was used to select medical staff from various departments in 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 score the depression, anxiety and sleep disorders. Correlation analysis and regression analysis were performed on the factors affecting the occurrence and severity of depression. Results Among 645 medical staff, 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%. The prevalence of depression in females, nurses, unmarried or single group, and rotating-shift population was significantly higher than that in males(48.3% vs 27.1%, OR = 2.512), doctors(55.2% vs 26.7%, OR = 3.388), married group(50.5% vs 35.8%, OR = 1.900), and day-shift population(35.2% vs 7.5%, OR = 1.719). The occurrence of depression was correlated with anxiety, sleep disorder, headache and migraine, with anxiety being the most significant (Spearman Rho = 0.531). The SDS was significantly correlated with SAS and PSQI (Spearman Rho = 0.801, 0.503), and also related to the presence of headache and migraine (Spearman Rho = 0.228, 0.159). Multivariate 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 depression degree in multiple linear regression. Conclusion The prevalence of depression in medical staff is higher than that in the general population especially among females, nurse occupation, unmarried people and rotating-shift population. Depression is associated with anxiety, sleep disorders, headache and migraine. Anxiety and nurse occupation are risk factors for depression. This study might provide a reference for the promotion of occupational health among medical staff.
Background Headache during hemodialysis (HDH) is prevalent but not negligible. Despite the high prevalence of dialysis headaches, they have rarely been studied. Therefore, this study aimed to evaluate the prevalence, risk factors, and clinical characteristics of HDH and reappraise the HDH diagnostic criteria in the International Classification of Headache Disorders 3 (ICHD-3). Methods One hundred and fifty-four patients completed this randomized cross-sectional study. Consecutive patients who underwent haemodialysis were assessed using a semi-structured questionnaire. The patients were administered face-to-face questionnaires while undergoing dialysis. Results This study included 154 patients. Before commencing dialysis, 3.24% (5/154) of the patients had migraine without aura, 1.29% (2/154) had menstrual-related migraine, 0.6% (1/154) had tension-type headaches, and 0.6% (1/154) had an unclassifiable headache. One case (0.6%) of headache resolved after dialysis treatment. HDH was diagnosed in 9.09% (14/154) of the patients. Headache after haemodialysis (HAH) was reported in 6.49% (10/154) of patients. The most prevalent features of HDH were frontal or temporal location, bilateral headaches, dull and throbbing nature, and moderate severity. HDH started at a mean of 2.33 ± 0.79 h after dialysis commenced. The average headache duration was 6.56 ± 1.57 h (median = 3.0 h), with 66.67% of the patients reporting a duration of ≤4 h. HDH was more prevalent in females than males (P = 0.01, P < 0.05). Female sex was a risk factor for HDH (P = 0.01,P < 0.05). Conclusions The diagnostic criteria for 10.2 HDH in ICHD-3 may miss several HAH. Therefore, ICHD-3 should be revised according to the literature and further studies.
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