• Annals of Occupational and Environmental Medicine
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• v.35
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• pp.28.1-28.12
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• 2023

Background: Owing to the coronavirus disease 2019 pandemic, being exposed to work from home and work during nonwork time simultaneously can lead to sleep disturbance; however, their combined effect is unclear. We aimed to investigate the combined effect of work from home and work during nonwork time on sleep disturbance. Methods: This study used data from the Sixth Korean Working Condition Survey and included 27,473 paid workers. Logistic regression analysis was conducted to investigate the relationship between work from home, work during nonwork time, and sleep disturbance according to sex. We re-classified participants into 4 groups based on their working from home (No/Yes) and working during nonwork time (No/Yes). The relative excess risk due to interaction was calculated to examine the effect of exposure to both telecommuting and non-regular work hours on sleep disturbance. Results: Workers exposed to work from home and work during nonwork time had significantly higher risks of sleep disturbance for all, men, and women workers (OR [95% CI]: 1.71 [1.46-2.02], 1.79 [1.43-2.23], and 1.64 [1.29-2.08] for work from home and 3.04 [2.70-3.42], 3.61 [3.09-4.22], and 2.41 [2.01-2.90] for work during nonwork time, respectively). Compared to those who were not exposed to both factors, when workers had both job factors, the ORs (95% CI) of sleep disturbance for all, men, and women were 3.93 (2.80-5.53), 5.08 (3.21-8.03), and 2.91 (1.74-4.87), respectively. The relative excess risk due to interaction of work from home and work during nonwork time was not significant for sleep disturbance. Conclusions: Work from home and work during nonwork time were each associated with sleep disturbance, but the interaction between the two factors on sleep disturbance was not observed in both men and women.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.18 no.2
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• pp.186-194
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• 2011

Purpose: The purpose of this study was to investigate factors of sleep disturbance and sleep patterns of elderly hospitalized women patients between young-old (65-74 years), old (76-84 years) and old-old (85 years and above). Methods: The questionnaire included the environmental disturbance factors (Paik, 2000), degree of pain (Wang & Kim,1995), disease symptoms (Paik, 2000), depression (Kee, 1996) and sleep patterns (Oh, Song, & Kim, 1998). Data were analyzed using frequencies, means, ${\chi}^2$-test, t-test, ANOVA, Scheffe, Pearson correlation coefficients and multiple regression (SPSS 14.0). Results: The middle, and oldest group's environmental disturbance factors of degree of pain, disease symptoms, depression and sleep patterns were higher than those of the younger group. The younger, middle, and oldest group's sleep pattern had a significant negative correlation with environmental disturbance factors, degree of pain, disease symptoms and depression. The model including variables related to environmental, physical and psychological disturbance factors, explained the following variances in sleep pattern: 26.8% for the youngest group, 27.6% for the middle group and 40.7% for the oldest group. Conclusion: The result of this study offer basic data for the development of nursing intervention programs to improve sleep patterns for hospitalized women patients according to age differences.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.14 no.1
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• pp.62-71
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• 2007

Purpose: This study was done to compare sleep patterns, factors of sleep disturbance and sleep enhancement behaviors between sleep disturbance and non-sleep disturbance elderly patients. Method: The participants were 117 patients over 65 years old who were hospitalized at 5 general hospitals in Seoul. There were 83 patients in the good sleeper group and 34 in the poor sleeper group. The survey questionnaires included questions on general characteristics, sleep patterns, sleep disturbing factors, and sleep enhancement behaviors of the patients. Results: For sleep patterns and environmental factors of sleep disturbance, the poor sleepers was significantly higher than that of the good sleepers. Significant differences between good sleepers and poor sleepers were also found on the following variables: Environmental factors of sleep disturbance -'Sound of other patient's or care-giver's', 'Discomfort of bed, linen, pillow and patient's gown', 'Light in the room', 'Emergency situations', 'Temperature of patients rooms too hot or too cold'. The significant physical factor of sleep disturbance was 'Hard to breath even without moving' and for sleep enhancement behaviors: 'Use of ear plugs or eye covers' Conclusion: Consequently it is necessary to develop positive and differentiated programs for sleep enhancement for the inactive and poor sleeper among the elderly patients.

• Journal of Korean Clinical Health Science
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• v.2 no.3
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• pp.176-187
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• 2014

Purpose. The purpose of this study was to identify the factors affecting quality of sleep and sleep disturbance among inpatient. Methods. A descriptive correlational study was conducted Participants were 200 inpatient in a hospital located in B city. A structured questionnaire was used for data collection. Collected data were analyzed using descriptive statistics, t-test, one-way ANOVA, Pearson's correlation, and stepwise multiple regression. Result. Hospitalized patient's score of sleeping quality was 38.26 on an overall scale of 60, indicating it to be higher than 'Medium (30 points). Almost hospitalized patient in this study suffer from sleep disturbances. As results of univariate analyses, Educational level, Departments, Why hospitalized, Insomnia / depression, Chronic Disease, Scale of pain, physical symptoms, environmental factors, emotional factors, and sleep promoting behavior, disturbed sleep among hospitalized. However, the result of stepwise multiple regression analysis identified that physical symptoms, environmental factors, emotional factors, sleep promoting behavior, and Why hospitalized disturbed sleep and were significant score of sleeping quality for hospitalized and these sleep disturbance factors accounted 46.8% of variance of sleeping quality among hospitalized. Conclusion. These findings suggest that hospitalized patients with poor sleep quality should have their health carefully screened for physical symptoms, environmental factors, emotional factors, sleep promoting behavior, and why hospitalized. In addition, we recommend the development of a nursing program for improving sleep quality.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2006.05a
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• pp.759-763
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• 2006

The World Health Organization(WHO) has recommended population of sleep disturbance as one of the environmental health indicators. But the percentage of respondents who felt highly sleep disturbed, that is, %HSD can???thave application to sleep disturbance from instantaneous noise. Therefore, this study has been carried out to present the technique for assessing sleep disturbance on instantaneous noise quantitatively. The study of sleep disturbance on night time instantaneous railway noise has been undertaken. Noise monitor has been in operation from 22 hours to 7 hours during 6 nights at 12 locations. To assess instantaneous noise induced sleep disturbance, it was decided to measure body movement by actiwatch. %motility was used as indicators of sleep disturbance. %motility is the expected value of probability of motility value during 7 epochs (105s) of any noise event. The measures of instantaneous motility have been related to measures of instantaneous railway noise events. The relationship shows that %motility is a good predictor for assessing sleep disturbance and Korean is more sensitive to noise than European although the railway noise have been considered in this study. This study can be extended to assessing long-term sleep disturbance and give a guideline far policy decision.

• Environmental Analysis Health and Toxicology
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• v.29
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• pp.6.1-6.6
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• 2014

Objectives Hospitalized patients are vulnerable to sleep disturbances because of environmental stresses including noise. While most previous studies on hospital noise and sleep have been performed for medical machines in intensive care units, there is a limited data for patients hospitalized in medical wardrooms. The purpose of present study was to measure noise level of medical wardrooms, identify patient-perceived sources of noise, and to examine the association between noise levels and sleep disturbances in hospitalized patients. Methods Noise dosimeters were used to measure noise level in 29 inpatient wardrooms at a university hospital. Sleep pattern and disturbance were assessed in 103 hospitalized patients, using the Pittsburgh Sleep Quality Index (PSQI) and Leeds Sleep Evaluation Questionnaire. Results The mean equivalent continuous noise level for 24 hours was 63.5 decibel A (dBA), which was far higher than 30 dBA recommended by the World Health Organization for hospital wardrooms. Other patients sharing a room were perceived as the most common source of noise by the patients, which was usually preventable. Of the patients in the study, 86% had bad sleep as assessed by the PSQI. The sleep disturbance was significantly correlated with increasing noise levels in a dose response manner. Conclusions Systemic organizational interventions are needed to keep wardrooms private and quiet to reduce sleep disturbance.

• Journal of Environmental Health Sciences
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• v.30 no.3
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• pp.283-292
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• 2004

Valid evaluation of community reaction to road-traffic noise exposure is important for the policy making and quality of life. The purpose of this study is to evaluate the relationship between community reaction and nighttime road-traffic noise. The study measured nighttime roadside noise caused by high traffic which is greater than LAeq(22:00-07:00) 65dB(A) and lower than 65dB(A) at Chonju city, from March to April, 2003. Three hundred sixty seven subjects, aged from 20 to 65, were selected from those who are residing close to the major roads. They were asked to answer the questions regarding noise source, stress(PWI-SF), annoyance, disturbance of specific activity, disturbance of sleep, somatic symptom, and four suggested confounding factors. The relationship between annoyance, somatic symptom and noise exposure was not significant. Adjusted odds ratio(95% C.I.) for disturbance of communication　 and disturbance of attention and rest　 were 1.59(1.03-2.71), 1.64(1.06-2.81), respectively. On the other hand sleep disturbance　 was indicated as 1.34(0.77-2.32). The results suggested that federal policy-making about road-traffic noise should consider community reaction evaluated by various perspective including annoyance, disturbance of specific activity, disturbance of sleep, and confounding factors.

• Sleep Medicine and Psychophysiology
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• v.28 no.1
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• pp.34-42
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• 2021

Objectives: This study investigated sleep quality in female full-time homemakers and evaluated the relationship of sleep disturbance with psychological and socio-environmental factors. Methods: This cross-sectional study adopted a structured survey and sequential recruitment method for randomized participation of community-dwelling full-time female homemakers. Sleep quality and mental health were measured using the Korean version of the Pittsburgh Sleep Quality Index (K-PSQI), Korean version of the Beck Depression Inventory-II (K-BDI-II), Korean version of the Beck Anxiety Inventory (K-BAI), and Korean version of the Beck Hopelessness Scale (K-BHS). The willingness-to-pay (WTP) method was selected to measure the self-evaluated monetary value of household service work. The relationship among the main relevant factors was statistically analyzed through a mediation model. Results: A total of 166 participants were analyzed and classified having poor versus good sleep quality (poor : 24.1%, n = 40 ; good : 75.9%, n = 126 ; cut-off point = 9 on the K-PSQI). Significant between-group differences were observed in mental health status (K-BDI-II, p < 0.001 ; K-BAI, p < 0.001 ; K-BHS, p = 0.003). The moderated mediation model was verified, indicating that depression may mediate the association between nurturing burden and sleep disturbance. The path from nurturing burden to depression may be moderated by average monthly household income. Conclusion: A relatively high portion of full-time female homemakers may suffer from sleep disturbance and interactions between psychological and socio-environmental factors might determine sleep quality, suggesting the need for public health policies targeting improvement of sleep quality and mental health among full-time homemakers.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.643-653
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• 2020

This study is a descriptive research study to identify the relationship between cancer fatigue, quality of sleep, environmental sleep disturbance, and comfort perceived by hospitalized cancer patients. Data were collected with structured questionnaires from 113 cancer patients from a university hospital in J city, Gyengnam, from September 17 to November 5, 2019, and analyzed using SPSS 21.0, using independent t-test, one-way ANOVA, Scheffé test, Pearson's correlation coefficient, and stepwise multiple regression. The subjects' Comfort is significantly different depending on education level, Cancerous type, Radiation treatment status, Usual exercise status. The result showed that comfort was negatively correlated with cancer fatigue(r=-.609, p<.001), quality of sleep(r=-.478, p<.001), and environmental sleep disturbance(r=-.297, p=.001). The variables that had a significant effect on comfort were cancer fatigue(β=-.42, p<.001), subjective quality of sleep(β=-.30, p=.001), and cancer type(β=-.18, p<.015), and the explanatory power was 46.1%(F=27.24, p<.001). Based on these results, it is necessary to develop a program to improve the quality of sleep and to reduce the cancer fatigue by cooperating with medical and nursing staff in multidisciplinary ways to enhance the comfort of hospitalized cancer patients.

• Annals of Occupational and Environmental Medicine
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• v.34
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• pp.8.1-8.11
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• 2022

Background: As self-employed workers are vulnerable to health problems, this study aimed to analyze mental health problems and sleep disturbances among self-employed workers compared with paid workers in Korea. Methods: A total of 34,750 workers (23,938 paid workers and 10,812 self-employed workers) were analyzed from the fifth Korean Working Condition Survey, which included 50,205 households collected by stratified sampling in 2017. To compare mental health problems and sleep disturbance among self-employed workers and paid workers, multivariate logistic regression analyses were performed. Results: The odds ratio in self-employed workers compared with paid workers was 1.25 (95% confidence interval [CI]: 1.09-1.42) for anxiety, 1.11 (95% CI: 1.04-1.17) for overall fatigue, 1.11 (95% CI: 1.04-1.20) for difficulty falling asleep, 1.10 (95% CI: 1.02-1.18) for difficulty maintaining sleep and 1.24 (95% CI: 1.16-1.32) for extreme fatigue after waking up. Conclusions: Self-employed workers in Korea have a higher risk of self-reported mental health problems and sleep disturbances than paid workers. Further studies with a longitudinal design and structured evaluation are required to investigate the causal relationship between health problems and self-employment.