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1.
Korean Journal of Occupational Health Nursing ; : 114-121, 2015.
Artigo em Coreano | WPRIM | ID: wpr-162293

RESUMO

PURPOSE: The purpose of this study was to assess the psychosocial work environment of hospital nurses to identify influences of psychosocial work environment on stress, depression, sleep disorder, and burnout. METHODS: A total of 219 nurses working in one hospital were surveyed by using the Korean version of the Copenhagen Psychosocial Questionnaire (COPSOQ-K) mental health and psychosocial work environment. The impact of the psychosocial work environment on mental health was analyzed using multiple regression. RESULTS: Mental health variables are correlated with each other. The psychosocial work environment variables and mental health variables are mostly correlated. To assess the psychosocial work environment that affects mental health the most, multiple regression was used. Work-family conflict was the most powerful explanation of all the mental health variables. Work pace, social community at work, mutual trust among employees, predictability, and influence were found to be affecting some mental health variables. CONCLUSION: To improve the mental health of nurses, it is necessary to consider work pace, social community at work, mutual trust among employees, predictability, influence focus on work-family conflict.


Assuntos
Depressão , Hospitais Gerais , Saúde Mental , Inquéritos e Questionários
2.
Korean Journal of Occupational Health Nursing ; : 219-226, 2014.
Artigo em Coreano | WPRIM | ID: wpr-771065

RESUMO

PURPOSE: This study aims to determine the association between psychosocial work environment and self-rated health among general hospital nurses. METHODS: A total of 195 nurses working in one general hospital were eligible for data analysis by multivariate logistic regression. The psychosocial work environment was measured with the Korean version of the Copenhagen Psycosocial Questionnaire version II (COPSOQ-K). Self-rated health was recoded as good (excellent/good) and not good (fair/poor/bad) to the question, "In general, how would you rate your health status?" RESULTS: 40% of nurses rated their health positively. Commitment to the workplace (OR=1.27), predictability (OR=1.32), recognition and reward (OR=1.41), role clarity (OR=1.32), and social support from colleagues (OR=1.25) were positively associated with self-rated health of nurse participants. Work-family conflict (OR=0.82) was negatively associated with self-rated health. CONCLUSION: The findings suggest that psychological work environment predicts self-rated health of hospital nurses. Good psychological work environment may be helpful in improvement of nurses' health.


Assuntos
Hospitais Gerais , Modelos Logísticos , Inquéritos e Questionários , Recompensa , Estatística como Assunto
3.
Korean Journal of Occupational Health Nursing ; : 219-226, 2014.
Artigo em Coreano | WPRIM | ID: wpr-56074

RESUMO

PURPOSE: This study aims to determine the association between psychosocial work environment and self-rated health among general hospital nurses. METHODS: A total of 195 nurses working in one general hospital were eligible for data analysis by multivariate logistic regression. The psychosocial work environment was measured with the Korean version of the Copenhagen Psycosocial Questionnaire version II (COPSOQ-K). Self-rated health was recoded as good (excellent/good) and not good (fair/poor/bad) to the question, "In general, how would you rate your health status?" RESULTS: 40% of nurses rated their health positively. Commitment to the workplace (OR=1.27), predictability (OR=1.32), recognition and reward (OR=1.41), role clarity (OR=1.32), and social support from colleagues (OR=1.25) were positively associated with self-rated health of nurse participants. Work-family conflict (OR=0.82) was negatively associated with self-rated health. CONCLUSION: The findings suggest that psychological work environment predicts self-rated health of hospital nurses. Good psychological work environment may be helpful in improvement of nurses' health.


Assuntos
Hospitais Gerais , Modelos Logísticos , Inquéritos e Questionários , Recompensa , Estatística como Assunto
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