• Title/Summary/Keyword: Sleep and Depression

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Study on the Factors Affecting the Sleep Disorder of Hemodialysis Patients (혈액투석환자의 수면장애에 영향을 미치는 요인)

  • Cho, Young-Im;Choi, Eun-Young
    • The Korean Journal of Rehabilitation Nursing
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    • v.8 no.2
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    • pp.94-101
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    • 2005
  • Purpose: The purpose of this study is to investigate the degree of sleep disorder and its related factors in hemodialysis patients. Method: The subjects of this study consisted of 210 hemodialysis patients. Data were analyzed by descriptive statistics, t-test, ANOVA, pearson's correlation coefficient, or stepwise multiple regression analysis by using SPSS/PC+ program. Result: Sleep disorder degree averaged 2.24. Stress of hemodialysis patients averaged 2.52. Depression degree of hemodialysis patients averaged 1.14. There was significant difference in sleep disorder according to age, marriage status, education, family income and help-givers. Sleep disorder was significantly associated with stress and depression. Stress, depression and marriage status explained 31.3% of the variance in the sleep disorder. Conclusion: In conclusion, the sleep disorder of hemodialysis patients is the nursing problem. The sleep disorder degree relates with stress, depression. Especially, it is strongly affected by stress among them.

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The Relationship of Quality of Sleep, Depression, Late-life Function and Disability (LLFDI) in Community-Dwelling Older Women with Urinary Incontinence (노년기 요실금 여성의 수면의 질, 일상생활 수행능력과 우울)

  • Shin, Kyung-Rim;Kang, Youn-Hee;Oak, Ji-Won
    • Journal of Korean Academy of Nursing
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    • v.38 no.4
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    • pp.573-581
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    • 2008
  • Purpose: The purpose of this study was to investigate the relationships among quality of sleep, depression, late-life function and disability in community-dwelling older women with urinary incontinence. Methods: A stratified random sampling method was conducted to recruit participants from May 10 to August 17, 2007. Data were collected by questionnaires, which were constructed to include lower urinary tract symptoms, quality of sleep, depression, and late-life function and disability in 128 community-dwelling older women. Results: The major findings of this study were as follow: 1) 56.3% of participants belonged to urinary incontinence group. 2) There were significant relationships between depression and sleep latency, sleep duration, daytime dysfunction, quality of sleep, function component, frequency dimension, and limitation dimension. 3) Depression was significantly associated with frequency dimension, limitation dimension in capability which explained 44% of variance in depression. Conclusion: These results may contribute to a better understanding of sleep quality, depression, late-life function and disability in the community-dwelling older women with urinary incontinence. Therefore, health programs for prompting older women's health should be planned based on results of the study.

Factors Influencing Sleep Disturbances among Older Adults Living within a Community (재가노인의 수면 관련요인)

  • Jeon, Bo Min;Choi-Kwon, Smi
    • Korean Journal of Adult Nursing
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    • v.29 no.3
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    • pp.235-245
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    • 2017
  • Purpose: Reported insomnia and decreased sleep quality are common among older adults. The purpose of this study was to identify factors contributing to insomnia and decreased sleep quality among elderly persons living within a community. The data will be verified with Actigraph which is a non-invasive measurement of rest/activity cycles. Methods: 137 participants over 65 years old were recruited from a senior welfare center. Their mean age was $74.07{\pm}5.18years$ old and majority was women (69.3%). The quality and quantity of nighttime sleep were assessed using Varren-synder-Halper Sleep Scale and a sleep log. Depression and fatigue were assessed using Geriatric Depression Scale Short Form and Fatigue Severity Scale, respectively. Pain was assessed using 11-point Numeric rating scale. An actigraph was used to verify the self-reported sleep. Results: Ninety-two participants (67.2%) reported insomnia. Sixty-eight subjects (49.6%) reported good sleep. Of the participants, 56.2% reported depression and 33.6% reported fatigue. In logistic regression, depression was related to insomnia (OR=3.09, p=.003). Sleep quality was related to depression (OR=2.13, p=.045) and fatigue (OR=2.24, p=.044). The data from the Sleep logs correlated with data obtained from the actigraph. Conclusion: Depression significantly influenced insomnia and sleep quality whereas fatigue only influenced sleep quality. Thus, depression and fatigue should be closely monitored among elderly persons with sleep disturbances.

A Study on Depression, Sleep and Fatigue in Younger and Older Elders (취약계층 전.후기 노인의 우울, 수면 및 피로간의 차이)

  • Choi, Yeon-Hee
    • Research in Community and Public Health Nursing
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    • v.18 no.2
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    • pp.223-231
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    • 2007
  • Purpose: This study was to compare differences in and correlation among depression. sleep and fatigue between younger and older elders. Method: A total of 370 subjects aged between 65 and 88 were selected through convenient sampling. Data were collected using a self report questionnaire from March to December, 2005. Results: Younger elders showed lower levels of depression and fatigue than older ones. The level of sleep satisfaction was higher in older elders than in younger ones. In both groups, fatigue was positively correlated to depression, and depression and fatigue were negatively correlated to sleep satisfaction. In addition, fatigue was affected by depression, the number of persons in household and sleep satisfaction. Conclusion: Older elders showed more serious health problems than younger ones. It is necessary to develop comprehensive intervention programs in order to promote healthy lifestyle for older elders.

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Factors Influencing Sleep Quality in Nursing Students - Focusing on Depression, Smartphone Usage before Sleep and Academic Score - (간호대학생 수면의 질 영향요인 - 우울, 수면 전 스마트폰 사용행태, 학업 성적을 중심으로 -)

  • Kim, Eun Ju
    • The Journal of the Korea Contents Association
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    • v.22 no.8
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    • pp.640-647
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    • 2022
  • The purpose of this study was to investigate the factors influencing sleep quality of nursing students, focusing on depression, smartphone usage before sleep, and academic score. Among nursing students in the 3rd and 4th grades of two universities, 196 subjects were randomly selected. Data were collected from April to July 2021 using tool of sleep quality(PSQI-K), depression(Korean BDI-II), and smartphone usage before sleep, and the effect on sleep quality was analyzed through Stepwise Multiple Regression Analysis. As a result of the study, two factors, depression and smartphone usage before sleep, had 39.0% explanatory power for the sleep quality of nursing students, and were statistically significant. That is, the higher the depression level and the more frequent smartphone usage before sleep, the worse the sleep quality level. However, academic score was not a significant variable. In conclusion, in order to improve the sleep quality of nursing students, it is necessary to reduce the pattern of sleep disorders related to depression and to correct the lifestyle by reducing smartphone usage before sleep.

Sleep Patterns and Factors Associated with Excessive Daytime Sleepiness in University Students (대학생의 수면양상과 주간졸음증에 영향을 미치는 요인)

  • Yi, Hyeryeon;Shin, Mee-Kyung;Won, Jongsoon
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.19 no.4
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    • pp.425-433
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    • 2012
  • Purpose: The purpose of this study was to investigate sleep patterns and predictors of excessive daytime sleepiness (EDS) in university students. Methods: Participants were 120 university students who were attending two universities in S-city and C-city. Data were collected from May 20 to June 15, 2012 using self-report questionnaires which included Johns' Epworth Sleepiness Scale, Yi's Sleep Quality Scale, and Beck Depression Inventory. Data were digitalized and analyzed using frequency, percentages, means and standard deviations, Wilcoxon rank sum test, Chi-square test, Fisher's exact test, and multiple logistic regression with SAS 9.0. Results: Mean total sleep time was 6.6 hours on weekdays, 8.1 hours on weekends. Mean sleep latency was 19.1 minutes and the score for mean sleep quality was 22.6. Prevalence of EDS was 12.5%. Depression was significantly different between EDS and Non-EDS students (t=2.17, p=.030). Multiple logistic regression showed that the only factor associated with EDS was depression (adjusted odds ratio of depression=5.33, 95% Confidence Interval=1.49-19.04). Conclusion: Results of this study indicate that university students experience short sleep time, low sleep quality, and common EDS with depression, suggesting that students with complaints of EDS should be completely assessed for depression as well as sleep problems.

Sleep Quality and its Associated Factors in Adults (성인의 수면의 질과 관련요인에 관한 연구)

  • Yi, Hyeryeon
    • Journal of Korean Public Health Nursing
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    • v.27 no.1
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    • pp.76-88
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    • 2013
  • Purpose: The purpose of this study was to identify the degree of sleep quality and its associated factors in adults. Methods: The data was collected from 986 adults aged 19 to 64 by convenience sampling. Subjects completed a questionnaire composed of Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory, and other questions that self-rated health and sociodemographic variables. Statistical methods used included descriptive statistics, simple logistic regression, and multiple logistic regression analyses. Results: The global PSQI score was 5.7. About 45% of the subjects were poor sleepers (global PSQI score >5). Multiple logistic regression analyses showed that factors significantly associated with sleep quality were depression and poor self-rated health in young and middle-aged adults. Depression was the most significant associated factor. The presence of a spouse was also associated with sleep quality in young adults. Conclusion: These findings suggest that people with poor sleep quality should have their health carefully screened for depression. In addition, we recommend the development of a nursing program for improving sleep quality.

The Effect of Rhythmic Activity Program on IADL, Depression and Sleep of the Elderly (율동적 동작프로그램이 노인의 일상생활 수행능력, 우울 및 수면에 미치는 효과)

  • Lee, Kang-Yi
    • The Journal of Korean Academic Society of Nursing Education
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    • v.12 no.1
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    • pp.28-35
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    • 2006
  • Purpose: This study was performed to verify the effect of rhythmic activity program on the elderly particularly their level of instrumental activities of daily living(IADL), depression and sleep. Method: The design of this study is one-group pretest-post test design. Three self-reported questionnaires were used as follows: first, the IADL Scale developed by Lawton and Brody(1969) and revised by Suh(1996) for measuring IADL, second, the Geriatric Depression Scale developed by Sheikh and Yesavage(1986) and revised by Song(1991) for measuring depression, third, Korean Sleep Scale developed by Oh, Song, & Kim(1998) for measuring sleep aspects; fourth, the applied version of Facial Pain Scale developed by Wong & Baker(1988) and revised by Song(2004) for measuring sleep quality. Twenty-seven elderlies carried out 50 minutes of rhythmic activity program for 4 weeks. Before and after the experiment, they were tested for IADL, depression and sleep. Collected data were processed using the SPSS/WIN 12.0 program analyzed by the frequency, percentage, mean and paired t-test. Results: The improvement in IADL of the elderly was not enhanced significantly but depression and sleep disorders significantly decreased. Conclusion: Rhythmic activity program is an effective nursing intervention for the elderly.

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The Association Between Weekend Catch-Up Sleep and Depression by Age Group in Korean Adults

  • Na Ryeong, Kim;Jaehyun, Han;Tae Hui, Kim
    • Korean Journal of Psychosomatic Medicine
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    • v.30 no.2
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    • pp.187-195
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    • 2022
  • Objectives : We aimed to explore weekend catch-up sleep (CUS) by age and to find out the association between CUS and depression by the age group and weekday sleep duration (SD). Methods : Using data from the 2016-2018 Korean National Health and Nutrition Examination Survey, the CUS by age of 16,174 subjects was investigated, and the depression data of 11,088 subjects were analyzed. CUS was calculated as the weekend sleep duration minus weekday sleep duration (SD). The mean of CUS and weekday SD in depression group and non-depression group was compared by early, middle, and late adulthood groups, and logistic regression analysis was performed to investigate the effect of CUS on the depression by age group when weekday SD was insufficient. Results : The CUS tended to decrease continuously with age, the mean of CUS in the late adult group was the shortest. However, the average SD, adjusted for weekend CUS, was the shortest in the middle adulthood group. Overall, the sleep durations were shorter in the depression group than in the non-depression group, but the CUS difference between the two groups was significantly only in the middle adulthood. The risk of depression was significantly higher when weekend CUS was less than 1hour with a short weekday SD of less than 6hours (OR 2.44, 95% CI: 1.78-3.35), and this finding was significant in all adult groups. Conclusions : The findings of this study suggest that short weekday SD and inadequate weekend CUS are associated with depression and that CUS is an option to compensate for sleep deprivation and prevent depression.

Influence of Job Stress and State of Sleep on the Depression of Emergency Medical Technicians (응급구조사의 수면상태와 직무 스트레스가 우울에 미치는 영향)

  • Lee, Chun Yee;Byun, Eun Kyung;Kim, Nam Hee
    • Korean Journal of Occupational Health Nursing
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    • v.22 no.3
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    • pp.191-197
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    • 2013
  • 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 18.0 Program. 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.