Mental health of front-line staff in prevention of coronavirus disease 2019.
10.11817/j.issn.1672-7347.2020.200241
- Author:
Ziwei TENG
1
,
2
;
Jing HUANG
1
,
3
;
Yan QIU
1
,
3
;
Yuxi TAN
1
,
3
;
Qiuping ZHONG
1
,
3
;
Hui TANG
1
,
3
;
Haishan WU
1
,
3
;
Ying WU
1
,
3
;
Jindong CHEN
1
,
4
Author Information
1. National Clinical Research Center for Mental Disorders
2. Department of Psychaitry, Second Xiangya Hospital, Central South University, Changsha 410011, China. zwaidc@csu.edu.cn.
3. Department of Psychaitry, Second Xiangya Hospital, Central South University, Changsha 410011, China.
4. Department of Psychaitry, Second Xiangya Hospital, Central South University, Changsha 410011, China. chenjindong@csu.edu.cn.
- Publication Type:Journal Article
- Keywords:
anxiety;
coronavirus disease 2019;
depression;
fatigue;
front-line staff;
pneumonia
- MeSH:
Anxiety;
diagnosis;
Betacoronavirus;
Coronavirus Infections;
prevention & control;
psychology;
Depression;
diagnosis;
Fatigue;
diagnosis;
Health Personnel;
psychology;
Humans;
Mental Health;
Pandemics;
prevention & control;
Pneumonia, Viral;
prevention & control;
psychology
- From:
Journal of Central South University(Medical Sciences)
2020;45(6):613-619
- CountryChina
- Language:English
-
Abstract:
OBJECTIVES:The coronavirus disease 2019 (COVID-19) pandemic is a global public health crisis, which elicits psychological problems in different population This study is to investigate the impact of COVID-19 on mental health in the front-line staff.
METHODS:Patient Health Questionnare-9 (PHQ-9), Self-Rating Anxiety Scale (SAS), and Fatigue Self-assessment Scale (FSAS) were used to assess the depression, anxiety, and fatigue in front-line staff.
RESULTS:The detection rates of depression, anxiety, and fatigue were 49.1%, 21.8%, and 76.0% among the front-line staff. The rates of depression, anxiety, and fatigue in community workers were higher than those in medical workers and other occupational staff (<0.01). The PHQ-9 of front-line staffs was negatively correlated with age, family income, family members' support, satisfaction of service objects, and sleep quality (all <0.01), while positively correlated with education level, fatigue, fear of pneumonia, and the duration of daily attention to the COVID-19 (all <0.01). SAS was negatively correlated with age, family income, family support, satisfaction of objects service, and sleep quality (all <0.01), while positively correlated with gender, fatigue, fear of pneumonia, and duration of daily attention to the COVID-19 (all <0.01).
CONCLUSIONS:The front-line workers should manage work and rest time reasonably to adjust their negative mood and fatigue. The government and the society should pay more attention to the psychological state of the front-line staff, particularly for the staff working in the community or villages and towns in preventing the COVID-19 pandemic. Thus, front-line staff can be obtained mental intervention or be taken a rest from the high-intensive work.
