• 한국보건간호학회지
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• 제19권2호
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• pp.305-315
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• 2005

Purpose: The purpose of this study was to investigate the relationships among depression, sleep patterns and health promoting behavior in female college students. Methods: The subjects of this study consisted of 350 college students. The data was collected through self-administered questionnaires from November to December of 2004. The data was analyzed via the SPSS computer program by using descriptive statistics, t-tests, ANOVA and Pearson's correlation coefficients. Results: There are significant differences and impacts on depression according to the amount of coffee consumed, the time spent on computer and the amount of smoke inhaled. Sleep patterns differ depending on one's college major, the time spent on computer, and the amount of smoke inhaled. Health promotion behavior was shown to be significantly different according to the living style, college major and how much TV was watched The mean scores for depression, sleep patterns, health promoting behavior were 1.45 (on a 3 points scale), 2.71 (on a 4 points scale), and 3.03 (on a 5 point scale), respectively. There was a significant positive correlation between sleep patterns and health promoting behavior, and there was negative correlation between depression and health promoting behavior, and between depression and sleep patterns in college students. Conclusion: The findings of this study give useful information to create further studies on intervention programs related to health promoting behavior for college female students.

• Journal of Preventive Medicine and Public Health
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• 제47권3호
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• pp.150-157
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• 2014

Objectives: The decrease or increase in sleep duration has recently been recognized as a risk factor for several diseases, including hypertension and obesity. Many studies have explored the relationship of decreased sleep durations and injuries, but few have examined the relationship between increased sleep duration and injury. The objective of this research is to identify the risk for injury associated with both decreased and increased sleep durations. Methods: Data from the 2010 Community Health Survey were used in this study. We conducted logistic regression with average sleep duration as the independent variable, injury as a dependent variable, and controlling for age, sex, occupation, education, region (cities and provinces), smoking, alcohol use, body mass index, hypertension, diabetes, arthritis, and depression. Seven categories of sleep duration were established: ${\leq}4$, 5, 6, 7, 8, 9, and ${\geq}10$ hours. Results: Using 7 hours of sleep as the reference, the adjusted injury risk (odds ratio) for those sleeping a total of ${\leq}4$ h/d was 1.53; 1.28 for 5 hours, for 1.11 for 6 hours, 0.98 for 8 hours, 1.12 for 9 hours, and 1.48 for ${\geq}10$ hours. The difference in risk was statistically significant for each category except for the 8 and 9 hours. In this study, risk increased as the sleep duration decreased or increased, except for the 8 and 9 hours. Conclusions: This research found that either a decrease or increase in sleep duration was associated with an increased risk for injury. The concept of proper sleep duration can be evaluated by its associated injury risk.

• 보건교육건강증진학회지
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• 제32권3호
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• pp.73-83
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• 2015

Objectives: The purpose of this study was to identify the effects of sleep quality and occupational stress on health-related quality of life among a university's security workers. Methods: 128 security workers voluntarily participated in the study. The survey asked demographic, health related, job related factors, the Korean Occupational Stress Scale Short Form(KOSS-SF), sleep quality questionnaire, and 12-Short Form Health Survey version 2.0(SF-12v2). The data were analyzed by using descriptive analysis, t-test, ANOVA, multiple linear regression, and multiple logistic regression. Results: The interrupted rest time was significantly negatively related to occupational stress. The occupational stress significantly affected sleep quality. The significant variable affecting Physical Component Score(PCS) and Mental Component Score(MCS) was sleep quality and occupational stress, respectively. Conclusions: HRQOL was founded to be affected by occupational stress and sleep disorder among the security workers. Based on this study, we suggest that the management of both occupational stress and sleep quality is crucial to improve the HRQOL.

• 한국임상보건과학회지
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• 제2권3호
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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.

• 성인간호학회지
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• 제28권1호
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• pp.106-115
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• 2016

Purpose: This study aimed to investigate sleep, fatigue, and the level of health promoting behaviors in Korean army soldiers. The factors influencing on health promoting behaviors of soldiers were also identified. Methods: A cross-sectional descriptive survey design was used. Data was collected from 269 soldiers in four military units of Korea in July 2015. Verran and Snyder-Halpern Sleep Scale, Fatigue Severity Scale, and Health Promoting Lifestyle Profile-II were used. Results: The health promoting behaviors were significantly different by perceived health status (p<.001) and presence of fatigue (p<.001). There were significant correlations between quality of sleep, fatigue, and health promoting behaviors of the subjects. In a multiple linear regression analysis, the level of health promoting behaviors were lower in the subjects with high level of fatigue (p<.001) and with fair perceived health status (p=.003). Conclusion: In order to increase health promoting behaviors of soldiers, it takes into account of soldiers' fatigue and perceived health status. Environmental arrangement for soldiers for the break time is needed urgently to decrease their fatigue as well as to improve their sleep quality.

• Safety and Health at Work
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• 제10권3호
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• pp.254-259
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• 2019

Background: This cross-sectional study assessed the sleep quality using the ActiGraph and investigated the relationship between the parameters of sleep assessment and the type of shift work in Korean firefighters. Methods: The participants were 359 firefighters: 65 day workers (control group) and 294 shift workers (shift work group: 77 firefighters with 3-day shift, 72 firefighters with 6-day shift, 65 firefighters with 9-day shift, and 80 firefighters with 21-day shift). Sleep assessments were performed using the ActiGraph (wGT3X-BT) for 24 hours during day shift (control and shift work group) and night shift and rest day (shift work group). The participants recorded bed time and sleep hours during the measurement period. Results: Sleep efficiency, total sleep time, and percentage of wake after sleep onset during night work were lower in the shift work group than control group (p < 0.05). Sleep efficiency decreased in night shift and increased in rest day, whereas wake after sleep onset increased in night shift and decreased in rest day (p < 0.05). Among shift work groups, sleep efficiency of 6-day shift was higher in day shift, and sleep efficiency of 21-day shift was lower in night shift than other shift groups (p < 0.05). Conclusion: We found that the sleep quality in night shift of the shift work group was poorer than the control group. As to the type of shift work, sleep quality was good in 6-day shift and poor in 21-day shift. Thus, fast rotating shift such as 6-day shift may be recommended to improve the sleep quality of the firefighters.

• 수면정신생리
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• 제29권2호
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• pp.35-39
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• 2022

렘수면 행동장애는 렘수면에서 과도한 근전도 활동과 관련된 불쾌한 꿈과 격렬한 행동이 특징인 사건수면이다. 이는 특발성으로 나타날 수 있고, 다른 신경학적 또는 의학적 상태에 이차적으로 나타날 수 있는 등 여러 이질적인 기저 질환이 있을 수 있다. 특발성으로 나타나는 렘수면 행동장애는 대부분 시누클레인 병증으로 인한 신경퇴행성 질환이 나타날 가능성을 의미하므로, 정확한 진단이 예후를 예측하는데 중요하다. 렘수면 행동장애의 진단을 위해서는 수면다원검사에서 나타나는 무긴장증이 없는 렘수면이 필수적이다. 노인 환자에서 수면 중 꿈을 꾸면서 행동을 보이는 질환으로는 폐쇄성 수면 무호흡증, 외상 관련 수면 장애, 수면 중 격렬한 주기적인 다리 운동 등이 알려져 있다. 렘수면 행동장애를 모방할 수 있는 다른 수면장애가 동반되어 나타날 수 있음을 고려하여 신중한 병력 청취와 수면다원검사 등을 이용하여 수면장애의 감별 진단 및 치료가 중요하겠다.

• 농촌의학ㆍ지역보건
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• 제42권4호
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• pp.244-253
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• 2017

이 연구는 여중생의 수면과 정신건강의 상호연관성을 분석하기 위하여 질병관리본부가 수행하고 온라인을 통해 공개하고 있는 2016 청소년건강행태온라인조사 원자료 중 중학교 여학생의 조사결과인 15,477명을 연구대상으로 하여 분석하였다. 연구결과 일반적 변수들과 흡연, 음주, 수면의 질, 수면시간을 모두 통제하여도 수면시간이 길수록 스트레스 인지율, 우울감 경험률, 자살 생각률이 유의하게 낮았으며, 또 충분한 수면여부에서 '그렇다'라고 답한 경우 스트레스 인지율, 우울감 경험률이 그렇지 않은 경우에 비해 유의하게 낮았다. 이 같은 연구결과 여중생의 수면시간과 질은 정신건강의 관련성이 있었기 때문에 향후 여중생들의 정신건강에 영향을 미칠 수 있는 수면시간과 질에 대한 추적연구를 포함하여 수면과 정신건강에 대한 스트레스와 우울감의 매개효과 분석과 같은 심층적인 연구와, 청소년의 수면 제한 요소를 줄일 수 있는 정책마련이 필요하다.

• Safety and Health at Work
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• 제9권2호
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• pp.159-163
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• 2018

Background: Fatigue and sleepiness are inter-related and common among road transport drivers. In this study, sleep deprivation and fatigue among chemical transportation drivers were examined. Methods: A cross-sectional study surveying 107 drivers from three hazardous types of chemical production and transportation industries (nonflammable gases, flammable gases, and flammable liquids) was conducted. Data on sleep deprivation were collected using questionnaires of the Stanford Sleeping Scale and the Groningen Sleep Quality Scale. Fatigue was assessed using an interview questionnaire and a flicker fusion instrument. Results: Chemical drivers had a mean sleeping scale (Stanford Sleeping Scale) of 1.98 (standard deviation 1.00) and had a mean score of 1.89 (standard deviation 2.06) on the Groningen Sleep Quality Scale. High-risk drivers had higher scores in both the Stanford Sleeping Scale and the Groningen Sleep Quality Scale with a mean score of 2.59 and 4.62, respectively, and those differences reached statistical significance (p < 0.05). The prevalence of fatigue, as assessed through a critical flicker fusion analyzer, subjective fatigue question, and either of the instruments, was 32.32%, 16.16%, and 43.43%, respectively. Drivers who slept <7 hours and had poor sleep quality were found to have more fatigue than those who slept enough and well. Drivers who had a more sleepiness score resulted in significantly more objective fatigue than those who had a less sleepiness score. Conclusion: Sleep quality and sleeping hour can affect a driver's fatigue. Optimization of work-rest model should be considered to improve productivity, driver retention, and road safety.

• 대한간호학회지
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• 제40권1호
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• pp.119-126
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• 2010

Purpose: The study was done to identify factors influencing the sleep of elderly women. Methods: Data were collected by questionnaires from 203 elderly women in Seoul and Gyeong-gi province. Measures were physical health state, family support, life satisfaction, sleep, depression, and quality of life. Data were analyzed using Pearson correlation coefficients, t-test, ANOVA, and stepwise multiple regression with SPSS/WIN 13.0 version. Results: The mean score for sleep for elderly women was 39.04. Sleep for elderly women according to religion, education level, spouses, and monthly income showed significant differences. Sleep for elderly women showed significantly positive correlations to physical health state, family support, life satisfaction, and quality of life. The significant factors influencing sleep of elderly women were physical health state, family support, depression, and quality of life, which explained about 70.4% of the variance. The strongest factors influencing the sleep was physical health state. Conclusion: The results suggest that in developing nursing interventions and practice for sleep pattern of elderly women spouses and family support should be considered.