• Journal of Family Resource Management and Policy Review
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• v.21 no.3
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• pp.141-159
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• 2017

The main purpose of this study is to investigate factors that influence sleep duration and sleep time poverty in terms of family characteristics, child characteristics, and time use. A series of data analyses were conducted on children's time use in two-parent families based on the 2013 Korean Children and Youth Panel Survey. One major finding is that children's sleep duration and the probability of having a sleep time poverty are related to their mothers' job classifications. The factors influencing the duration of sleep time and the sleep time poverty are similar in terms of family characteristics and children's time use. The mother's job classification, family income, number of younger siblings, number of older siblings, children's private tutoring hours, computer game hours, and TV hours are statistically significant factors affecting the duration of sleep time and the probability of having a sleep time poverty. However, the factor with greatest influence on sleep time duration is private tutoring hours and the factor most affecting sleep time poverty is computer game hours. The mother's job classification is a relatively powerful determinant for predicting her children's sleep duration and sleep time poverty.

• Journal of Korean Academy of Nursing
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• v.29 no.1
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• pp.61-71
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• 1999

Sleep is a necessity for survival. Disruption of sleep leads to numerous adverse physiological and psychological consequences. These could be particularly undesirable for older patients, who are subject to many additional factors. But there is limited research related to hospitalized elderly in Korea. The purpose of the study is to explore sleep patterns and disturbing factors of before and after hospitalization, in order to present basic information regarding elderly sleep to develop nursing intervention. The sample consisted of 32 elderly men and women between the ages of n and 87 years. Data collection was done from September to November 1997. Measures of sleep patterns and related factors were obtained from self-reported sleep questionnaires. Analysis of data was done by use of t-test, paired t-test, ANOVA, and Pearson Correlation Coefficient. The results of this study were summarized as follows : 1. In comparision between before and after admission of their sleep pattern, “sleep onset” tends to be delayed and nocturnal sleep time was significantly reduced. So, hospitalized elderly reported less total sleep time than before admission. 2. Regarding the sleep disturbing factors, medication(hypnotics ; 37.5%), physiological factor (snoring ; 59.4%) environmental factor (pillow ; 78.1%), emotional factor(anxiety related to disease ; 37.5%), and illness factor(fatigue ; 34.7%) were reported. 3. Significant differences in gender were found. Men had more disturbances in sleep than women owing to difficulty in falling a sleep and lack of nocturnal sleep. Women consumed more sleep inducing drugs. Significant increase was reported in napping during the day with increasing age. 4. Significant differences between good sleepers and poor sleepers were found for the following variables : nocturnal sleep time, total sleep time, bed time, sleep onset latency time, sleep latency time after nocturnal awakening, time spent in bed upon arousal, environmental factors, and emotional factors. In conclusion, it was found that the quantity and quality of sleep were significantly altered in hospitalized elderly, but adequate strategies for better sleep were not practiced. Further research is needed to develop Intervention strategies to promote sleep and to prevent sleep problems.

• Journal of The Korean Society of Integrative Medicine
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• v.10 no.1
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• pp.1-11
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• 2022

Purpose : Obesity is a major public health burden in developed countries and a well-known risk factor for cardiovascular disease. Short sleep duration is associated with obesity, as well as diabetes, heart disease and death. In modern society, habitual sleep restrictions seem unavoidable due to social obligations and work schedules along with a tendency toward decreased sleep time. Therefore, the purpose of this study is to examine the effect of differences in sleep time between weekdays and weekends on body mass index (BMI). Methods : This study involved 4,234 Korean adults aged 20 to 64 years based on data obtained from the 7th national health and nutrition examination survey (2016). All subjects were classified into the weekend catch-up sleep group (weekend CUS group). and the non catch-up sleep group (non-CUS group). Results : The longer the average sleep time, the lower was the BMI, and the larger the difference in sleep time between weekdays and weekends, the lower was the BMI. Compared with those with an average sleep time of 8 hours or more, obesity was 1.6-fold higher when the average sleep time was less than 6 hours, and 1.2-fold higher in the case of sleep time of 7 hours or more and less than 8 hours. When the difference in sleep time between weekdays and weekends was 0 or less, more than 0 hours but less than 1 hour, and more than 1 hour and less than 2 hours, the risk of obesity was 1.2-fold, 1.1-fold and 1.1-fold higher, respectively, compared with the risk associated with a sleep time difference of 2 hours or greater between weekdays and weekends. However, the difference was not statistically significant. Conclusion : Short sleep duration is positively associated with obesity. In addition, weekend catch-up sleep affects BMI.

• The Journal of Korean Physical Therapy
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• v.34 no.5
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• pp.272-277
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• 2022

Purpose: This study compared the subjective and objective sleep quality between subjects with and without thoracic hyper-kyphosis. Methods: Forty participants were divided into a hyper-kyphosis (n=17) and normal group (n=17) by thoracic spinal angle measurement. The subjective sleep quality was measured using PSQI, a self-report, and objective sleep quality was measured using an actigraphy that measures time according to sleep patterns. Results: The PSQI scores of subjects with thoracic hyper-kyphosis were significantly higher than those with normal thoracic curvature (p=0.013). The total sleep time and real sleep time were less in subjects with hyper-kyphosis than in normal subjects (p=0.006; p=0.029). The light sleep time was less in subjects with excessive spondylolisthesis than in normal subjects (p=0.010). Light sleep time was less in those with hyper-kyphosis, but deep sleep time was similar to the subjects with a normal thoracic curvature (p=0.003; p=0.140). Conclusion: Subjects with thoracic hyper-kyphosis had a decrease in subjective sleep quality, such as sleep discomfort, and objective sleep quality, such as a decrease in sleep time compared to normal subjects.

• Journal of Korean Academy of Nursing
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• v.50 no.4
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• pp.631-640
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• 2020

Purpose: This study aimed to examine premenstrual symptoms (PMS) of shift nurses and identify the association between PMS, sleep, and occupational stress. Methods: This study was conducted with a secondary data analysis that used data from the Shift Work Nurse's Health and Turnover study. The participants were 258 nurses who were working in shifts including night shifts. PMS, sleep patterns (sleep time and sleep time variability), sleep quality, and the occupational stress of each participant were measured using the Moos Menstrual Distress Questionnaire, a sleep diary, an actigraph, the Insomnia Severity Index, and the Korean Occupational Stress Scale, respectively. Data were analyzed using SPSS 23 and STATA 15.1 to obtain descriptive statistics, Pearson's correlation coefficients, multiple linear regression with generalized estimating equations (GEE) and Baron and Kenny's mediating analysis. Results: The average PMS score, average sleep time, average sleep time variability, average sleep quality score, and average occupational stress score of the participants was 53.95 ± 40.45, 7.52 ± 0.89 hours, 32.84 ± 8.43%, 12.34 ± 5.95, and 49.89 ± 8.98, respectively. A multiple linear regression analysis with GEE indicated that sleep time variability (B = 0.86, p = .001), and sleep quality (B = 2.36, p < .001) had negative effects on nurses' PMS. We also found that sleep quality had a complete mediating effect in the relationship between occupational stress and PMS. Conclusion: These findings indicate that both sleep time variability and sleep quality are important factors associated with PMS among shift work nurses. To improve shift nurses' PMS status, strategies are urgently needed to decrease sleep time variability and increase sleep quality.

• International Journal of Advanced Culture Technology
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• v.8 no.2
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• pp.1-5
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• 2020

As the world gradually advances to an aging society, the quality of human life is valued. Among them, 'quality of sleep' is very closely related to quality of life. Recently, Korea expanded health insurance coverage for "sleep disorders". Particularly, as the number of sleep multiple tests and prescriptions for sleep aids has increased rapidly, much attention has been focused on the related medical service environment. Therefore, this study looked at an in-depth interview of 11 hospitals to see what treatment delivery system is being established when the government applies health insurance for 'sleep disorders'. In conclusion, the organizations with the most average number of sleep polyp tests per day were found to have more sleep polyp labs (hardware) and more full-time specialists. Also, the polysomnography lab (hardware) and the specialist's full-time status (software) did not necessarily result in a "positive pressure regulator prescription" that can solve "sleep apnea" caused by "sleep ailments". Rather, it was found that the number of days of sleep multiple laboratories (hardware), the number of full-time specialists (software) or the specialty majors (software) had a greater impact. In particular, the higher the specialist's full-time personnel (software) index (=6.000), the higher the sleep-inducing agent prescription rate(=1.000), and the lower the specialist's full-time personnel (software) index (=1.000), the higher the sleep-inducer's prescription rate(= 0.010) Was low. In addition, even if the professional full-time personnel(software) index was the same (=1.000), the hospital type was lower as it was closer to the public hospital(=0.067) and higher at the specialized hospital (= 0.933). In the case of university hospitals, when the full-time specialists (software) are in the same condition (= 1.000), the frequency of use of the sleep laboratory (=1.000) and the sleep test rate (= 1.000) were all the same.

• Journal of Sasang Constitutional Medicine
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• v.33 no.3
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• pp.127-137
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• 2021

Objectives The purpose of this study was to identify the effects of personality by each Sasang constitution on sleep using Positive Affect and Negative Affect Schedule(PANAS) and NEO-personality inventory(NEO-PI). Methods The subjects of this study were 2,078 people who had information on Sasang constitutional type and personality(PANAS, NEO-PI) among the data established at the Korean Medicine Data Center. Sleep time and sleep quality were investigated through self-written questionnaires. Sleep time was collected by hand-writing, and sleep quality was checked on a 4 point Likert scale. Pearson correlation analysis was conducted to see the correlation between personality and sleep in each constitutional type. Logistic regression was performed using personality as independent variables to find out how much personality affects sleep time. In order to find out how much personality affects sleep quality, regression analysis was performed using personality as independent variables. Results & Conclusions Sleep time was hardly affected by personality. As a result of Pearson correlation analysis, sleep time in all subjects did not show a significant correlation with personality. In logistic regression on sleep time as the dependent variable, no statistically significant results were obtained except for the Negative Affect(NA) in Taeeumin. Sleep quality showed a statistically significant correlation with the negative affect(NA), neuroticism(N), extraversion(E), Physical Component Summary(PCS) and Mental Component Summary(MCS). As a result of regression analysis on sleep quality as the dependent variable, neuroticism(N), negative affect(NA), positive affect(PA), and extraversion(E) were found in the factors affecting sleep quality. Besides, how much personality affected sleep quality might differ in each constitution. In all constitutions, sleep quality was affected by N, but the rank of N was different in each constitution. The sleep quality of Soyangin was not affected by E, and the sleep quality of Taeeumin was specifically affected by O.

• Journal of Korean Biological Nursing Science
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• v.13 no.3
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• pp.211-219
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• 2011

Purpose: The study compared the rest-activity rhythm and sleep pattern of elderly with young group. Methods: The subjects were 22 over than 65 years old and 23 under 65 years old. An actigraph, sleep diary, Pittsburgh Sleep Quality Index and Insomnia Severity Index scale were used as measurement tools for this study. The data were analyzed with $x^2$, Lamda test, t-test and correlation with SPSS 15.0 program. Results: The elderly had lower curve than the young group in rest-activity rhythm on each time zone. In particular, the elderly group had lower rest-activity rhythm curve of 8, 9, 14, 18, 19, 20, 21, 22 and 23 time zone than those of young group. Sleep pattern had statistical difference in the total sleep time, PSQI and insomnia. Total sleep time of elderly had lower score and PSQI and Insomnia had higher score than young group. Age had correlation with rest-activity rhythm, sleep efficiency, PSQI and insomnia. Conclusion: Rest-activity rhythm of the elderly showed an increase in activity in the early morning because of earlier get up than the young group and an decrease in activity in the afternoon because of taking a nap at this time. Elderly sleep was that total sleep time increased but sleep efficiency decreased and insomnia intensified. This sleep pattern was related to age and rest-activity rhythm.

• Journal of Korean Critical Care Nursing
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• v.1 no.1
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• pp.19-31
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• 2008

Purpose: This study was conducted to exam the effects of the Abbreviated Cognitive Behavioral Therapy(ACBT) on chronic insomnia. Methods: Study was one-group interrupted time series study that involved 13 adults(mean age=51.7, aged 25-77 years) with chronic primary insomnia who visited sleep disorder clinic of S Hospital from November 2004 to October 2005. The subjects received 2-session individual ACBT with 2 week-interval($1^{st}$: 1.5- 2hrs, $2^{nd}$: 20-30min). To measure the subjective insomnia severity and sleep patterns, 3 times of insomnia severity index and sleep logs were completed(before ACBT, after ACBT, and 3-month after ACBT). The main outcomes were subjective insomnia severity and sleep patterns(sleep onset latency, waking after sleep onset, and total sleep time, sleep efficiency). The data were analyzed with SPSS 10.0 version program by Friedman test, Wilcoxon signed rank test with Bonferroni correction. Results: There were statistically significant decrease in insomnia severity index, sleep onset latency, and waking after sleep onset, and increase total sleep time and sleep efficiency. Conclusion: ACBT was effective in reducing subjective insomnia severity and improving sleep patterns. Sleep improvement was better sustained over time with ACBT.

• Journal of Korean Academy of Nursing
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• v.37 no.1
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• pp.5-13
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• 2007

Purpose: The purpose of this study was to identify the relationship between physical activity and sleep patterns of the elderly. Methods: The subjects of this study were 154 elderly who visited a community senior center in Korea. Data was collected by an interview and a self reported questionnaire, during the period from June to October, 2006. Physical activity was measured by IPAQ Korean version(2006), and sleep pattern by Korean Sleep Scale A developed by Oh et al.(1998). Results: The prevalence of chronic illness in the subjects was 73.4 %. The mean time of vigorous activity was $6.62{\pm}31.27$ minutes/day during the past week. Moderate activity time was $28.85{\pm}50.31$ minutes/day and walking time was $28.85{\pm}50.3$ minutes/day. The total sleep time was $397.63{\pm}111.53$ minutes/day. Physical activity of the elderly significantly correlated with sex, chronic illness, job, and sleep patterns of the elderly. Stepwise multiple regression analysis revealed that the most powerful predictor of sleep pattern was the satisfaction of sleep. A combination of the number of chronic illnesses, moderate physical activities(MET), and total time of sleep accounted for 44.4% of the sleep pattern. Conclusions: Moderate physical activity is more effective than vigorous physical activity for improving the sleep quality of the elderly.