응급구조사의 수면상태와 직무 스트레스가 우울에 미치는 영향
Influence of Job Stress and State of Sleep on the Depression of Emergency Medical Technicians
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Purpose: The purpose of this study was to identify the relationship of job stress, state of sleep, and depression and to identify factors influencing depression of emergency medical technicians. Methods: The research was a cross-sectional, descriptive study. Data collection were done using self-report questionnaires with 162 emergency medical technicians working in hospitals who agreed to participate in the study. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson’s correlation coefficients and multiple regression with the SPSS/WIN 18.0Program. Results: Depression had significant negative correlations with state of sleep, (r=-482, p<.001) and positive correlations with job stress (r=.196,p=.013). State of sleep had significant negative correlations with job stress (r=-.168, p=.033). The variance for life satisfaction was 23.7% (F=25.964, p<.001). Variable of state of sleep significantly predicted depression of emergency medical technicians. Conclusion: Considering these results,for emergency medical technicians' job stress, state of sleep, and depression, further studies are needed. Furthermore, there is a need to develop and implement new strategies to improve depression among emergency medical technicians.
Abstract
Purpose: The purpose of this study was to identify the relationship of job stress, state of sleep, and depression and to identify factors influencing depression of emergency medical technicians. Methods: The research was a cross-sectional, descriptive study. Data collection were done using self-report questionnaires with 162 emergency medical technicians working in hospitals who agreed to participate in the study. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson’s correlation coefficients and multiple regression with the SPSS/WIN 18.0Program. Results: Depression had significant negative correlations with state of sleep, (r=-482, p<.001) and positive correlations with job stress (r=.196,p=.013). State of sleep had significant negative correlations with job stress (r=-.168, p=.033). The variance for life satisfaction was 23.7% (F=25.964, p<.001). Variable of state of sleep significantly predicted depression of emergency medical technicians. Conclusion: Considering these results,for emergency medical technicians' job stress, state of sleep, and depression, further studies are needed. Furthermore, there is a need to develop and implement new strategies to improve depression among emergency medical technicians.
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