Investigation on sleep quality and mental health of nurses in public health emergencies
10.3760/cma.j.cn211501-20200823-03636
- VernacularTitle:突发公共卫生事件护理人员睡眠质量和心理健康状况的调查研究
- Author:
Pengbo YAN
1
;
Dianli HAN
;
Wenjing SONG
;
Ying WANG
;
Xuequn ZHAO
;
Ying CAO
;
Guimei DING
;
Xiaolin GUAN
;
Yaning LI
;
Yuehao SHEN
;
Kun SHAN
;
Chengfei XU
;
Peiran YUAN
;
Sai LI
;
Xuelian PIAO
Author Information
1. 天津市北辰医院护理部 300400
- Keywords:
Public health;
Nursing staff;
Sleep quality;
Mental health
- From:
Chinese Journal of Practical Nursing
2021;37(27):2111-2116
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To understand the sleep quality and mental health status of nurses in public health emergencies, and analyze the correlation between them.Methods:A total of 128 first-line nursing staff participating in public health emergencies on February 22-23, 2020 in Tianjin Beichen Hospital, Tianjin First Central Hospital, Tianjin Fourth Central Hospital were investigated by the general data questionnaire, Pittsburgh Sleep Quality Index (PSQI), and Symptom Checklist 90 (SCL-90).Results:70.3%(90/128) of nursing staff had poor sleep quality, and the total score of PSQI was (9.71±4.01) points, which was statistically significant compared with the domestic norm ( t value was 16.479, P<0.01). The total score of SCL-90 was 1.59±0.52, which was statistically significant compared with the domestic norm ratio ( t value was 4.505, P<0.01). One-way ANOVA showed that the nursing staff's age had a significant impact on sleep quality, and the difference was statistically significant ( F value was 4.092, P<0.05). Pearson correlation analysis showed that the Pittsburgh sleep quality scale index scores and symptom self-assessment scale and somatization, force, sensitive interpersonal relationship, depression, anxiety, hostile, terrorist, paranoia, and psychosis were positively correlated( r values were 0.292-0.444, P< 0.01). Conclusions:The sleep quality and mental health status of nurses in public health emergencies are poor, and the sleep quality is correlated with mental health status.
