직장인들의 수면 양상이 우울 및 불안에 미치는 영향
The Sleep Characteristics of Employees and Its Influence on Depression and Anxiety
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Objective : This study aimed to quantify the degrees of insomnia, depression and anxiety felt by employees, and to understand which components of insomnia affect depression and anxiety. Methods : One thousand employees who had medical checkups from January to December 2014 in the Workplace Mental Health Institute of Kangbuk Samsung Medical Center were selected randomly. Sleep quality, depression, and anxiety were rated using the Pittsburgh Sleep Quality Index (PSQI), the Center for Epidemiologic Studies Depression scale (CES-D), and the Beck Anxiety Inventory (BAI), respectively. Good and poor sleepers were divided into two groups according to their total PSQI score : ≤5 for good sleepers or ＞5 for poor sleepers. Results : Of 998 employees, 742 (74.35%) had PSQI total scores below 5, and 256 (25.65%) had scores over 5. Multivariate linear regression analysis using the 7 components of PSQI versus BAI, and CES-D scores revealed that subjective sleep quality, daytime dysfunction, sleep disturbance, sleep latency and sleep duration components were significantly associated with both BAI and CES-D. Conclusion : Among the components of insomnia, subjective sleep quality and daytime dysfunction were most strongly associated with depression and anxiety. (Anxiety and Mood 2016;12(2):97-102)
Abstract
Objective : This study aimed to quantify the degrees of insomnia, depression and anxiety felt by employees, and to understand which components of insomnia affect depression and anxiety. Methods : One thousand employees who had medical checkups from January to December 2014 in the Workplace Mental Health Institute of Kangbuk Samsung Medical Center were selected randomly. Sleep quality, depression, and anxiety were rated using the Pittsburgh Sleep Quality Index (PSQI), the Center for Epidemiologic Studies Depression scale (CES-D), and the Beck Anxiety Inventory (BAI), respectively. Good and poor sleepers were divided into two groups according to their total PSQI score : ≤5 for good sleepers or ＞5 for poor sleepers. Results : Of 998 employees, 742 (74.35%) had PSQI total scores below 5, and 256 (25.65%) had scores over 5. Multivariate linear regression analysis using the 7 components of PSQI versus BAI, and CES-D scores revealed that subjective sleep quality, daytime dysfunction, sleep disturbance, sleep latency and sleep duration components were significantly associated with both BAI and CES-D. Conclusion : Among the components of insomnia, subjective sleep quality and daytime dysfunction were most strongly associated with depression and anxiety. (Anxiety and Mood 2016;12(2):97-102)
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