Analysis of psychological status and influencing factors of medical workers amid COVID-19 pandemic; analysis of influencing factors
10.3760/cma.j.cn115624-20200522-00411
- VernacularTitle:新型冠状病毒肺炎疫情下医务人员的心理健康状态及影响因素分析
- Author:
Xufeng LIU
;
Yifei WANG
;
Kang SHI
;
Gang CHEN
;
Shiqi TANG
;
Yongqi LI
;
Jingkuan SU
;
Shengjun WU
;
Qiang ZENG
- From:
Chinese Journal of Health Management
2021;15(2):167-172
- CountryChina
- Language:Chinese
-
Abstract:
Objective:The study seeks to explore the factors influencing the psychological status and sleep quality of medical workers amid the ongoing COVID-19 pandemic, in order to provide data sources and theoretical basis for the development of relevant psychological intervention programs.Methods:Employing the convenience sampling method, general information questionnaire (age, gender, marital status, educational background, job status, etc.), Generalized Anxiety Disorder-7 and Patient Health Questionnaire, epidemic stress index scale, and sleep quality questionnaire were distributed to medical staff between February 18 and April 3, 2020, using the PEM mental health care platform of by ZhongShengKaiXin for medical staff issued. Descriptive, single factor, and correlation analyses, as well as multiple linear regression analysis were used to analyze the data.Results:Overall, 24, 845 questionnaires were collected from 23 provinces, of which 24, 687 were valid, with a recovery rate of 99.36%. The findings showed that the proportion of medical personnel with symptoms of anxiety and depression was 50.58% and 51.37%, respectively; 16.11% had poor or very poor anti-stress ability; and 71.78% reported poor or very poor sleep quality. There was a positive correlation between anxiety, depression, anti-stress ability, and sleep quality ( P<0.05). Anxiety was positively correlated with depression, stress tolerance, and sleep quality( r=0.787, 0.667, and 0.486, all P<0.001); depression was positively correlated with stress tolerance and sleep quality ( r=0.709 and 0.586, both P<0.001); and stress tolerance was positively correlated with sleep quality ( r=0.452, P<0.001). Multiple linear regression analysis results showed that age, gender, marital status, educational background, professional title, job status, and participation influenced the anxiety levels of medical personnel in the backdrop of the pandemic ( P<0.001). Depression levels of medical staff were influenced by gender, educational background, job position, and participation ( P<0.001), while gender, marital status, educational background, job position, and participation influenced the stress tolerance levels ( P<0.001). The sleep quality of medical workers was influenced by age, gender, job position, participation in the fight against the pandemic, and professional title ( P<0.001). Conclusions:Amid the ongoing COVID-19 pandemic, medical staff reported poor mental health status and sleep quality, which can be attributed to diverse factors. The research findings can be useful for assisting medical staff to strengthen their self-cognition, while also providing certain psychological counseling data and theoretical basis for management departments.
