Analyzing the influencing factors of depressive symptoms among medical staff in Beijing City
10.20001/j.issn.2095-2619.20241211
- VernacularTitle:北京市医护人员抑郁症状影响因素分析
- Author:
Li HU
1
;
Dan LIU
;
Shengying YAO
;
Zihuan WANG
;
Zhifeng SUN
;
Liu LIU
;
Yan YE
Author Information
1. Beijing Center for Diseases Prevention and Control, Beijing 100020, China
- Publication Type:Journal Article
- Keywords:
Medical staff;
Depressive symptoms;
Anxiety symptoms;
Occupational stress;
Insomnia symptoms;
Night shift;
Gender;
Influencing factor
- From:
China Occupational Medicine
2024;51(6):665-670
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the current situation of depressive symptoms among medical staff in Beijing City and its correlation with symptoms of anxiety, occupational stress and insomnia. Methods A total of 2 687 medical staff from 28 medical institutions in eight municipal districts of Beijing City were selected as study subjects using multi-stage sampling method. The basic situation, depression symptoms, anxiety symptoms, occupational stress and insomnia symptoms were investigated using the National Occupational Health Literacy Monitoring Questionnaire for Key Groups, Patient Health Questionaire-9, 7-item Generalized Anxiety Disorder Scale, Core Occupational Stress Scale, and Self-Sleep Management Questionnaire. Results The detection rate of depressive symptoms was 28.3%, and the detection rates of moderate, moderate-severe and severe depressive symptoms were 18.9%, 6.9% and 2.5%, respectively. The detection rate of anxiety symptoms was 41.3%, and the detection rates of mild, moderate and severe anxiety symptoms were 29.7%, 7.7% and 3.9%, respectively. The detection rate of occupational stress was 26.7%. The detection rate of insomnia symptoms was 36.6%. The results of multivariate logistic regression analysis showed that the risk of depressive symptoms in male medical staff was higher than that in female (P<0.05). The risk of depressive symptoms in night shift staff was higher than that in staff without night shift (P<0.05). The more severe the anxiety symptoms, the higher the risk of depressive symptoms (all P<0.01). The risk of depressive symptoms in medical staff with occupational stress was higher than those without occupational stress (P<0.01). The risk of depressive symptoms in medical staff with insomnia symptoms was higher than those without insomnia symptoms (P<0.01). Conclusion The detection rate of depressive symptoms among medical staff in Beijing City is relatively high. Gender, night shift, anxiety symptoms, occupational stress, and insomnia symptoms were independent risk factors of depressive symptoms.