• 건강소식
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• v.20 no.12 s.217
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• pp.14-15
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• 1996

• Journal of Family Resource Management and Policy Review
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• v.24 no.1
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• pp.41-53
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• 2020

The purpose of this study was to identify the factors that affect middle-old aged housewives' participation in lifelong learning as a part of human resource development. Through purposive sampling, the study recruited 163 full-time housewives over age 40 years who live in C City. As a result, first, 87.1 percent of all respondents, or 142, said they were willing to participate in lifelong learning in the future. There was no statistically significant difference in the results of cross-checking by age, educational background and monthly household income variables. Additionally, we used cluster analysis to measure differences in participation intentions according to the perception of human resource development of middle-old aged full-time housewives. The perception variable of lifelong learning is: First, Cognitive degree, second, importance, third, activation awareness. Cluster 1(n=16) was divided into generally low-perception types, such as cognitive degree, importance, and life-long learning activation of the C city, while Cluster 2(n=61) was classified as a type of person who thinks that lifelong learning is important to life and Cluster 3(n=86) was generally classified as a type with a higher lifelong learning perception. and we found that there was no difference in the intention to participate in lifelong learning by all cluster Lastly, we found that participants who valued human resource development scored significantly higher on measures of cognition than those who did not value it. Based on these results, we advocates social change that encourages the cultivation of talent through lifelong learning programs that can positively affect one's unique identity, not just wife and mother, and provide opportunities for self-development.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.153-167
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• 2019

Purpose: The aim of this study was to examine factors influencing health-related quality of life in middle and old adult one-person households. Method: This study carried out secondary analysis using the data from the $7^{th}$ Korean National Health and Nutrition Examination Survey. Subject samples who were selected are 497 middle and old adult one-person households over 40 years. Data were analyzed using descriptive statistics, simple and multiple regression techniques with the SPSS/WIN 24 program. Result: Factors influencing health-related quality of life in middle adult one-person households were activity limitation, depression, exercise, smoking habits with 57% prediction. In male old adult one-person households they were subjective health, metabolic syndrome, activity limitation, perceived stress with 44.8% prediction and in female old adult one-person households they were subjective health, activity limitation, home income with 35.9% prediction. Conclusion: Therefore, to improve their health-related quality of life it needs to develop & to apply national and local promotion policy and intervention program on health-related quality of life of middle and old adult one-person households.