• 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.

• Korean Journal of Social Welfare Studies
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• v.49 no.2
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• pp.5-38
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• 2018

The purpose of this study is to examine work-life balance by analyzing time schedules of married couple. The 2014 Korea Time Use Survey dataset was used for the analysis. Finally, 6,262 time diaries of 3,131 households were included in the analysis. The study used sequence analysis in particular, by applying the Lesnard(2014)'s dynamic hamming matching (DHM) method, which is useful for the time diary analysis where timing is a key factor. This study explored daily schedules of each man and woman according to 9 types of couple-combined work-schedules, which had been already derived by cluster analysis. The daily schedules were identified according to the activities divided as labor, housework, sleep, self-management, active leisure, passive leisure, and others. Here, time allocation was analyzed through various graphs showing average time amount and modal states by time period. Based on the analysis, it summarized that "long working hours as a main factor of work-life imbalance", "gender inequality of time use", "non-standard hours work impairing quality of life and "poverty of leisure time"as characteristics of work-life imbalance. Finally this study discussed the social policy implications to support work-life balance.

• Journal of Korean Public Health Nursing
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• v.30 no.2
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• pp.195-205
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• 2016

Purpose: This study is to compare the difference in status between elderly individuals with and without a spouse. Methods: The study is based on the Fifth Korean National Health and Nutrition Examination Survey(KNHAENS), between 2010 and 2012. Subjects were over the age of 65 years who participated in the survey. Chi-square test and logistic regression of complex sampling design of the KNHAENS and used the survey analysis method by SPSS (version 18). Results: Sleep time of female elders living alone was the shortest which was 2.59 times that of male elders living with a spouse. Stress awareness of female elders living with a spouse was the highest, which was 3.21 times that of male elders living with a spouse. Depression was the highest in female elders living alone, which was 2.26 times that of male elders living with a spouse. Suicidal idea was the strongest in female elders living alone, which was 2.87 times that of male elders living alone. Conclusion: Female elders living alone were weakest in regards to socio-economical aspect with the highest rate of poverty, low educational status, and unemployment. The mental health status of females was worse than that of males. In particular, the mental health status of females living alone was the worst.