RESUMO
Objective To explore the relationship between job burnout feeling and sleep quality in psychiatric female medical staff.Methods 100 female medical staff were randomly selected from two mental hospitals in Wenzhou,and the Pittsburgh sleep quality index was used to evaluate and Maslach burnout inventory;and the relation-ship between sleep quality and job burnout was analyzed.Results Female psychiatric and medical personnel to the personality dimension score was (10.84 ±4.75)points,which was higher than Maslach norm (7.12 ±5.22)points;emotion exhaustion scores of (14.44 ±6.38)points,low achievement sense score of (15.07 ±6.89)points,below the Maslach often die emotion exhaustion scores of (22.19 ±9.53)points and low achievement sense scores (36.54 ± 7.34)points.The differences were statistically significant (t =-12.15,7.84,-31.15,all P <0.01).Job burnout and there were significant correlations between sleep quality and the emotional exhaustion and personification and PQSI seven dimensions and the total score was a positive correlation,low sense of achievement and PQSI total score and negatively correlated with seven dimensions.Conclusion Wenzhou psychiatric female medical staff burnout is significantly higher than the general population,there is a correlation between staff burnout and sleep quality,and the more serious burnout,poorer quality of sleep.Improving the quality of sleep of medical staff is one of the ways to relieve job burnout.
RESUMO
Objective: To study the quality of sleep and the quality of life in the Chinese People's Armed Police Forces of Guangdong province. Methods: By random unitary sampling, the PSQI Scale and the WHOQOL-BREF Scale were used in 1170 people of the Chinese People's Armed Police Forces in Guangdong province. Results: The total score of the quality of sleep in the Chinese People's Armed Police Forces of Guangdong province was 6.73?3.13. The scores of physiological, psychological, social, and environmental domains of the quality of life for the good-sleepers were higher than that of the ordinary-sleepers and the bad-sleepers. The scores of the four domains of the quality of life were correlated with the scores of PSQI negatively. Conclusion: The quality of sleep could influence the quality of life.