• Safety and Health at Work
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• v.10 no.1
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• pp.30-38
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• 2019

Background: Police officers' stress perception, frequency of stressful events (stressors), and police work characteristics may contribute to poor sleep quality through different mechanisms. Methods: We investigated associations of stress severity (measured by stress rating score) and frequency of stressors with sleep quality and examined the influence of police work characteristics including workload, police rank, prior military experience, and shift work on the associations. Participants were 356 police officers (256 men and 100 women) enrolled in the Buffalo Cardio-Metabolic Occupational Police Stress Study from 2004 to 2009. A mean stress rating score and mean frequency of stressors occurring in the past month were computed for each participant from the Spielberger Police Stress Survey data. Sleep quality was assessed using the global score derived from the Pittsburgh Sleep Quality Index survey. Linear associations of the stress rating score and frequency of stressors with sleep quality (Pittsburgh Sleep Quality Index global score) were tested. Age, sex, race/ethnicity, and smoking status were selected as potential confounders. Results: The stress rating score was positively and independently associated with poor sleep quality (${\beta}=0.17$, p = 0.002). Only workload significantly modified this association (${\beta}=0.23$, p = 0.001 for high workload group; p-interaction = 0.109). The frequency of stressors was positively and independently associated with poor sleep quality (${\beta}=0.13$, p = 0.025). Only police rank significantly modified the association (${\beta}=0.007$, p = 0.004 for detectives/other executives; p-interaction = 0.076). Conclusion: Both police officers' perception of stress severity and the frequency of stressors are associated with poor sleep quality. Stress coping or sleep promotion regimens may be more beneficial among police officers reporting high workloads.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.7078-7088
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• 2015

This study examined effects of health behaviors and sleep related factor on cognitive function in the elderly hypertensive patients. Data were collected through a face to face interview survey with structured questionnaire form 140 elderly with hypertension ($age{\geq}65years$) from February 5 to May 1, 2013. Research instruments included Pittsburgh Sleep Quality Index(PSQI), Epworth Sleepiness Scale(ESS) and Korean version the Mini-Mental State Examination(MMSE-K). Cognitive function was negatively related to degradation in quality of sleep(r=-.29, p<.001). Sleep duration were negatively related to body mass index(r=-.18, p=.032) and degradation in quality of sleep(r=-.59, p<.001). Sleep duration was positively related to daytime sleepiness(r=.22, p=.008). Hierarchical multiple regression showed that age, education levels and living arrangement were associated with cognitive function(F=8.56, p<.001, Adjusted $R^2=.14$). After controlling for demographic characteristics and health behaviors, degradation in quality of sleep(${\beta}=-.27$, p=.008) was identified as significant predictors of cognitive function. This final model explained 17.0% of the cognitive function in the elderly hypertensive patients(F=4.09, p<.001). Therefore, as a strategy improving cognitive function of the elderly with hypertension, therapeutic intervention should be developed to improve quality of sleep considering age, education levels and living arrangement.

• Sleep Medicine and Psychophysiology
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• v.22 no.1
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• pp.11-19
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• 2015

Objectives: Whether daytime sleepiness is proportional to the severity of sleep apnea in obstructive sleep apnea syndrome (OSAS) is controversial. In this study we investigated how insomnia severity affects the association between daytime sleepiness and sleep apnea severity in OSAS. Methods: The present study included 235 male subjects who were diagnosed with OSAS based on clinical history and nocturnal polysomnography. Pearson's correlation analysis was conducted among sleep and mood-related self-reported data, polysomnographic data and demographic data of all subjects. Based on Pittsburgh Sleep Quality Index (PSQI), the subjects were divided into 2 groups; group A (n = 75; $PSQI{\leq}5$) and group B (n = 160; PSQI > 5). Partial correlation analysis was performed between the Epworth Sleepiness Scale (ESS) and other data in both groups. Multiple linear regression analysis was conducted to investigate the factors which affected the ESS in group A. Results: Pearson's correlation analysis showed weak or non-existent correlations between ESS and apnea severity data such as apnea-hypopnea index (AHI) (r = 0.148, p = 0.023), apnea index (AI) (r = 0.137, p = 0.036), hypopnea index (HI) (r = 0.058, p = 0.377), oxygen desaturation index (ODI) (r = 0.149, p = 0.022) and arousal total index (ATI) (r = 0.129, p = 0.048). Positive correlations between ESS and apnea severity data such as AHI ($r_p=0.313$, p = 0.008), AI ($r_p=0.339$, p = 0.004), ODI ($r_p=0.289$, p = 0.015) and ATI ($r_p=0.256$, p = 0.031) were observed only in group A. Multiple regression analysis showed that AI (t = 2.996, p = 0.004) and BAI (t = 2.721, p = 0.008) were associated with ESS in group A. Conclusion: The correlation between daytime sleepiness and sleep apnea severity was shown only in group A. This result suggests that associations between daytime sleepiness in OSAS and sleep apnea severity will become prominent when controlling for insomnia-related variables.

• The Journal of Korean society of community based occupational therapy
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• v.9 no.3
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• pp.1-9
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• 2019

Objective : The purpose of this study was to verify the effect of sleep quality on activity participation in the elderly living in the community. Methods : This study was conducted on 200 elderly people using welfare institutions located in Jeollabuk-do from August 21 to September 29, 2019. Data collection was performed using the Korean version of the Pittsburgh Sleep Quality Index (PSQI-K) and the Korean-Activity Card Sort (K-ACS). The data were analyzed by descriptive statistics, independent t-test, Pearson correlation, and simple linear regression analysis. Results : The group with high quality of sleep showed significantly higher participation in instrumental activities, social activities and leisure activities than the group with low quality of sleep (p<.001). The quality of sleep was significantly correlated with instrumental activities, social activities and leisure activities (p<.01). The quality of sleep significantly affected the instrumental activities (R²=.224), social activities (R²=.142) and leisure activities (R²=.227) (p<.001). Conclusion : The quality of sleep needs to be approaches to promote the participation of elderly people living in the community, and development of an intervention program will be needed to improve quality of sleep.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.112-120
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• 2019

Sleep quality among university students is important, especially for their physical and psychosocial wellbeing. This study was conducted to investigate the level of smartphone addiction and stress among university students, and to estimate the effects of those variables on sleep quality. Data were collected from August 1st to 14th, 2018 using an online self-report survey to measure demographics including daily activity and indulgence foods, smartphone addiction, perceived stress scale, and the Pittsburgh Sleep Quality Index (Korean version). Collected data were analyzed by independent t-tests, ANOVA, Pearson's correlation coefficients, and multiple regression. The results showed that smartphone addiction, stress, and sleep quality had positive correlation in each relation. Multiple regression analysis showed that the predictors of sleep quality were smartphone addiction (${\beta}=0.041$, p=.001) and stress level (${\beta}=0.177$, p=.001), and the regression equation explained 24.9% of sleep quality. Therefore, higher levels of smartphone addiction and stress were associated with lower sleep quality. Based on these results, it is necessary to reduce unnecessary use of smartphone usage, as well as to develop and apply programs for university students to improve their sleep quality.

• Journal of Korean Public Health Nursing
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• v.32 no.2
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• pp.263-274
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• 2018

Purpose: This study examined the correlation of insomnia, sleep quality, depression, and circadian rhythm in nursing students. Methods: A total of 213 subjects completed a questionnaire consisting of their general characteristics, Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), Center for Epidemiologic Studies Depression (CES-D), and Composite Scale of Morningness (CSM). The collected data were analyzed by descriptive statistics, t-test, ANOVA, and Pearson's correlation coefficient using the SPSS 23.0 program. Results: The subjects' mean scores were ISI 7.18; PSQI 11.18; CES-D 16.00; and CSM 30.18. In insomnia, there were significant differences according to caffeine, perceived health status and major satisfaction. In sleep quality, there were significant differences according to perceived health status and major satisfaction. Significant differences in depression were observed according to gender, caffeine, subjective health status, major satisfaction, and circadian rhythm by drinking and exercise. A significant positive correlation was observed among ISI, PSQI, and CES-D. ISI and CES-D were negatively correlated. Conclusion: Tailored health care programs should be developed and applied to prevent and manage sleep-related and emotion-related problems in nursing students by considering the health status, major satisfaction, and gender.

• Journal of Korean Biological Nursing Science
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• v.17 no.4
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• pp.287-296
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• 2015

Purpose: The purpose of this study was to identify the influence of physical activity and depression on sleep quality among the young-old and old-old community-dwelling elderly. Methods: Participants were 216 community-dwelling older adults in Korea aged 65 or above. Data were collected using structured questionnaires with face-to-face interviews that included demographic and health-related characteristics, International Physical Activity Questionnaires (IPAQ), the Short Form Geriatric Depression Scale (SGDS) and the Pittsburgh Sleep Quality Index (PSQI). A hierarchical multiple regression was conducted to examine whether physical activity and depression would predict sleep quality under other controlled factors. Results: There were differences in demographic and health-related characteristics, physical activity, and depression by age groups, but not in sleep quality. In the young-old elderly, physical activity (${\beta}=-0.22$, p=.043) and depression (${\beta}=0.31$, p=.002) were significantly associated with sleep quality (F=4.46, p=.001, Adjusted $R^2=.16$). In the old-old elderly, physical activity (${\beta}=-0.29$, p=.001) and depression (${\beta}=0.41$, p<.001) were significantly associated with sleep quality (F=10.79, p<.001, Adjusted $R^2=.29$). Conclusion: These finding highlight physical activity and depression as important contributors to sleep quality in both young-old and old-old elderly.

• Journal of Sasang Constitutional Medicine
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• v.29 no.1
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• pp.40-49
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• 2017

Objectives Sleep duration and sleep quality are closely related to obesity, however there are few studies considering the Sasang constitution. This study is to investigate the relationship between sleep status and obesity according to Sasang constitution. Methods This cross-sectional research studied 2,672 participants (1,293 men and 1,379 women) using the Korean Medicine Data Center (KDC) of the KIOM. Sasang constitution was diagnosed by KS-15 questionnaire. Obesity was divided into two categories: general obesity was defined as Body Mass Index(BMI) ${\geq}25kg/m^2$, and abdominal obesity was defined as waist circumference ${\geq}90cm$ in men and ${\geq}85cm$ in women. Sleep quality was assessed using the Pittsburgh Sleep Quality Index. Results The distribution of the subjects was 56.9% for Taeumin and 43.1% for non-Taeeumin., Poor sleep quality increased both BMI and waist circumference in Taeeumin. In men Taeeumin, sleep duration was correlated with BMI, and sleep quality was correlated with waist circumference. The prevalence of obesity was significant difference according to sleeping duration in men Taeeumin, it was the highest at 6 hours of sleeping time. Conclusions Sleep duration and sleep quality was associated with obesity in Taeeumin. Especially, in men Taeeumin, adequate sleep duration was an important factor for prevention and treatment of obesity.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.616-628
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• 2016

The purpose of this study was to examine symptom experiences, sleep quality, and quality of life in asthma patients and investigate any correlation among these factors. The study was conducted on 146 asthma patients that visited the Internal Medicine Department of Allergies at a hospital in Korea from March to June, 2015. Tools that were originally developed by Oh (1999) were used to measure the symptom experience of asthma patients. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI) while quality of life was measured by the Short Form 36-Items Heath Survey (SF-36). The dates were analyzed by t-test, ANOVA, Scheffe test, and Pearson's correlation coefficient using the SPSS 20.0 program. Symptom experiences of asthma patients showed a positive relation with sleep quality (r=.468, p<.001) and negative relationship with quality of life; PCS (r=-495, p<.001) and MCS (r=-.411, p<.001). The symptom experiences of an asthma patient along with sleep quality and quality of life turned out to be correlated. Therefore, this study is expected to be utilized as a basis for the development of assessment tools and arbitration programs to elucidate symptom experiences of asthma patients from various aspects and enhance their sleep quality and quality of life.

• The Journal of Korean Medicine
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• v.45 no.1
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• pp.127-138
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• 2024

Objectives: Cold extremities have been suggested to correlate with sleep disturbances. This study aims to explore the relationship between thermal sensations in body, encompassing both cold and heat sensations, with sleep quality and insomnia. Methods: Self-administered questionnaires were utilized to assess thermal sensations in body, sleep quality and symptoms of insomnia in middle-aged women. A multiple logistic regression analysis was performed to ascertain the association between thermal sensations in body and both sleep quality and insomnia symptoms. Results: Among 899 participants, 255 (28.4%) were categorized in the cold sensation group, 95 (10.6%) in the heat sensation group, 70 (7.8%) in the group with both cold and heat sensations, and 479 (53.3%) in the no-sensation group. Pittsburgh Sleep Quality Index and Insomnia Severity Index were notably higher in the group experiencing both sensations when compared to the no-sensation group. After adjustments for covariates, the odds ratios for poor sleep quality, moderate/severe insomnia, and long sleep latency were significantly elevated in the group with both sensations when compared to the no-sensation group. The odds ratios for poor sleep quality in the cold sensation group and for moderate/severe insomnia and low sleep efficiency in the heat sensation group were significantly higher when compared to the no-sensation group. Conclusions: The risk for sleep disturbances varied depending on the presence of thermal sensations in body, with the greatest risk observed for low sleep quality and insomnia in individuals experiencing both cold and heat sensations.