• Journal of Sasang Constitutional Medicine
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• v.33 no.1
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• pp.102-108
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• 2021

Objectives The purpose of this study was to identify differences in sleep by Sasang constitutional type using Pittsburgh Sleep Quality Index(PSQI). Methods The subjects of this study were 3,578 people who had information on Sasang constitutional type and PSQI among the data established at the Korean Medicine Data Center. We compared each item score in PSQI (subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbance, use of sleep medication, daytime dysfunction) and PSQI global scores by Sasang constitutional type using analysis of variance. Logistic regression was conducted to calculate the odds ratio of poor sleep by Sasang constitutional type. Results & Conclusions The SE type showed statistically significantly higher scores than the TE type and SY type in subjective sleep quality, sleep latency, habitual sleep efficiency, sleep disturbance, and PSQI global score, indicating poor sleep compared to other constitutional types. The odds ratio for poor sleep also shows that even after adjusting sex, age, height, and weight, the SE type was significantly higher than other constitutional types, indicating that the SE type could be a risk factor for poor sleep.

• Journal of Korean Biological Nursing Science
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• v.16 no.2
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• pp.98-104
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• 2014

Purpose: The purpose of this study was to assess sleep quality and to identify predictors of poor sleep quality in nursing students. Methods: The participants surveyed were 302 individuals at G College located in Kangwon-do. The participants completed the questionnaire including demographic characteristics, health behavior, and the Pittsburgh Sleep Quality Index (PSQI) for sleep quality. The BMI was calculated using height and weight. For the statistical analysis, $X^2$ test, Spearman correlation, and logistic regression were performed using the SAS window (version 9.2) program. Results: From the 302 individuals, 219 (72.5%) had poor sleep quality. The results showed significant correlations between physical activity and sleep quality, as well as between sleep duration and sleep quality. The BMI and sleep quality did not show any significant relationship. The factors affecting sleep quality were sleep latency (OR, 4.167; 95% CI, 1.406-12.344), sleep duration (OR, 6.717; 95% CI, 2.386-18.912), and sedentary hours (OR, 2.971; 95% CI, 1.095-8.064). Conclusion: The study demonstrates that poor sleep quality is common in nursing students, and intervention study is needed to improve sleep quality in nursing students. Additional studies are needed to determine the relationship between BMI and sleep quality.

• Sleep Medicine and Psychophysiology
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• v.19 no.1
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• pp.5-10
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• 2012

The release of hormones and the metabolism of human body are controlled by the circadian rhythm related to sleep-wake cycle. Growth hormone, prolactin, thyroid stimulating hormone, cortisol, glucose, and insulin-secretion rates fluctuate according to the sleep-wake cycle. In addition, sleep is related to the appetite regulation and carbohydrate and other energy metabolism. Hypocretin (orexin), an excitatory neuropeptide, regulates waking and diet intake, and the poor sleep increases diet intake. The short sleep duration increases one's body mass index and impairs the function of the endocrine and metabolism, causing increases in the risk of glucose intolerance and diabetes. The poor sleep quality and sleep disorders have similar impact on the metabolic function. In short, the sleep loss and the poor quality of sleep have a detrimental effect on the endocrine and energy metabolism. The improvement of sleep quality by the future research and appropriate clinical treatment would contribute to the decrease of the metabolic diseases such as diabetes.

• Korean Journal of Community Nutrition
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• v.24 no.5
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• pp.395-407
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• 2019

Objectives: This study examined the association of the sleep quality and patterns with the dietary behavior, including snack and beverage consumption, taste preferences, as well as lifestyle of university students. Methods: The subjects were 406 university students in Cheongju, Korea, and the data were collected using a self-administered questionnaire. They were divided into two groups according to the Pittsburgh Sleep Quality Index (PSQI): good-quality sleepers (PSQI score ≤ 5) and poor-quality sleepers (PSQI score > 5). The data were analyzed using a χ²-test, independent t-test, and analysis of covariance using the SPSS 25.0 program. Results: Fifty-two percent of university students were categorized as poor-quality sleepers by the PSQI. Students classified as poor-quality sleepers had delayed bedtimes, and a shorter duration in bed and total sleep hours than the good-quality sleepers did. Poor-quality sleepers were more prevalent among those who were female, having irregular mealtimes, or frequent late night meals. They also consumed fast food frequently, such as fried chicken and hamburgers, and noodles when adjusted for gender. In addition, drinks with caffeine over milk were dominant among poor-quality sleepers. Furthermore, the preferences for spicy and salty tastes and longer smartphone usage were more prevalent in those with poor-sleep quality. Conclusions: These results showed that more than 50% of university students reported disturbed sleep and poor quality sleep was associated with less desirable snack consumption and taste preference, more smartphone usage, and others. Therefore, nutrition education program along with lifestyle changes promoting sufficient sleep are encouraged to provide for university students, particularly those who have poor sleep quality.

• Korean Journal of Biological Psychiatry
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• v.21 no.2
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• pp.74-80
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• 2014

Objectives More than half of the elders suffer from chronic sleep disturbances. Moreover, sleep disturbances are more prevalent in patients with depressive disorder than in community dwelling elderly. In this study, we aim to estimate the risk factors of poor sleep quality and its effect on quality of life in patients with late life depression. Methods This study included 159 depressive patients aged 65 years or older who completed Pittsburgh Sleep Quality Index (PSQI). A global PSQI score of 5 or greater indicates a poor sleeper. Structural diagnostic interviews were performed using the Korean version of Mini International Neuropsychiatric Interview (MINI). Depression was evaluated by the Korean form of Geriatric Depression Scale (KGDS). Global cognition was assessed by Mini-Mental State Examination in the Korean version of the Consortium to Establish a Registry for Alzheimer's Disease assessment packet. Quality of life was evaluated by the Korean version of Short-Form 36-Item Health Survey (SF-36). Results The frequencies of poor sleepers were 90.5% in major depressive disorder, 71.8% in minor depressive disorder, 47.1% in subsyndromal depressive disorder, and 73.0% in all types of depressive disorders. Multivariate logistic regression analysis indicated that female [odds ratio (OR) = 2.83, 95% confidence interval (CI) = 1.20-6.67] and higher KGDS score (OR = 1.13, 95% CI = 1.05-1.21) were risk factors of poor sleep quality in patients with late life depression. In the analysis of ANCOVA adjusted for age, gender, education and KGDS score, the mean scores of vitality mental health and mental component summary of SF-36 were lower in poor sleepers than in good sleepers. Conclusions Poor sleepers among patients with late life depression are very common and are associated with female and higher KGDS scores. Poor sleep quality causes a significant negative effect on mental health quality. So researchers and clinicians should be more vigilant in the evaluation and treatment of sleep disturbances in patients with late life depression.

• Women's Health Nursing
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• v.13 no.3
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• pp.201-210
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• 2007

Purpose: The purposes of this study were to (a) explore the prevalence of sleep patterns of middle-aged women; (b) identify the relationship between subjective sleep quality and its related variables; and (c) predict the possible explanations of how the related factors affect subjective sleep quality of middle-aged women. Methods: A total of 256 women aged 40-60 years were purposely sampled and given self-administered questionnaires in a cross-sectional, correlation coefficient design. The data was analysed using t-test, one-way ANOVA, Pearson's correlation coefficients, and stepwise multiple regression. Results: The results were as follows; (a) a total of 40% of the women were poor sleepers as defined by a global PSQI score >5; (b) there were significant differences in quality of sleep related to type of family, number of present illnesses, and use of medication; (c) health promoting behaviors, family functioning, depression, and climacteric symptoms were significantly related to subjective sleep quality; and (d) 34% of variance in subjective sleep quality can be explained by climacteric symptoms, depression, type of family, and spouse. Conclusions: Our findings suggested a high proportion of poor sleeping in middle-aged women. Poor sleeping appeared to have poor health promoting behaviors, lower family functioning, worse depression, and higher climacteric symptoms. Climacteric symptoms, depression, type of family, and spouse were independent risk factors for poor sleeping. Nurse professionals should screen for sleep problems in middle-aged women with a biopsychosocial and behavioral aspect.

• 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 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.

• Journal of the Korean society of biological therapies in psychiatry
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• v.24 no.3
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• pp.173-183
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• 2018

Objectives : The aim of study was to estimate the prevalence of poor sleep quality and depressive symptoms as well as to examine the moderating effect of positive psychology on the relationship between poor sleep quality and depressive symptoms among Korean university students. Methods : A total of 2,338(1,071 male and 1,267 female) university students at seven universities of four cities in Korea were randomly selected to participate in a survey. Data were collected by self-report questionnaires, including Pittsburgh Sleep Quality Index(PSQI), Beck Depression Inventory(BDI), Satisfaction with Life Scale(SWLS), Positive Psychotherapy Inventory(PPTI), and sociodemographic characteristics. Results : The prevalence was 44.8% for poor sleep quality and 14.4% for depressive symptoms among Korean university students. By moderated regression analysis, the results showed that poor sleep quality(${\beta}=0.453$, p<0.001) aggravated depressive symptoms of university students, and life satisfaction(${\beta}=-0.087$, p<0.001) and happiness(${\beta}=-0.145$, p<0.001) respectively buffered the negative effect of the poor sleep quality on depressive symptoms. Conclusion : This study showed very high prevalence of poor sleep quality and depressive symptoms among Korean university students. Overall, these findings demonstrates that positive psychology can be effective in the enhancement of subjective and psychological well-being and may help to reduce depressive symptom levels. In the context of public health, positive psychology can be used as preventive, easily accessible and non-stigmatizing tools.

• Journal of Preventive Medicine and Public Health
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• v.56 no.4
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• pp.319-326
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• 2023

Objectives: The coronavirus disease 2019 (COVID-19) pandemic has increased the workload of healthcare workers (HCWs), impacting their health. This study aimed to assess sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and identify factors associated with poor sleep among HCWs in Vietnam during the COVID-19 pandemic. Methods: In this cross-sectional study, 1000 frontline HCWs were recruited from various healthcare facilities in Vietnam between October 2021 and November 2021. Data were collected using a 3-part self-administered questionnaire, which covered demographics, sleep quality, and factors related to poor sleep. Poor sleep quality was defined as a total PSQI score of 5 or higher. Results: Participants' mean age was 33.20±6.81 years (range, 20.0-61.0), and 63.0% were women. The median work experience was 8.54±6.30 years. Approximately 6.3% had chronic comorbidities, such as hypertension and diabetes mellitus. About 59.5% were directly responsible for patient care and treatment, while 7.1% worked in tracing and sampling. A total of 73.8% reported poor sleep quality. Multivariate logistic regression revealed significant associations between poor sleep quality and the presence of chronic comorbidities (odds ratio [OR], 2.34; 95% confidence interval [CI], 1.17 to 5.24), being a frontline HCW directly involved in patient care and treatment (OR, 1.59; 95% CI, 1.16 to 2.16), increased working hours (OR, 1.84; 95% CI,1.37 to 2.48), and a higher frequency of encountering critically ill and dying patients (OR, 1.42; 95% CI, 1.03 to 1.95). Conclusions: The high prevalence of poor sleep among HCWs in Vietnam during the COVID-19 pandemic was similar to that in other countries. Working conditions should be adjusted to improve sleep quality among this population.