• Journal of Family Resource Management and Policy Review
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• v.22 no.2
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• pp.25-43
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• 2018

The purpose of this study was to analyze the factors that influence middle-aged people's retirement planning and financial preparation for old age. The data was derived from "the National Survey of Families 2015". The samples included 1,462 people from 40 to 64 years of age. The findings from the analysis showed that the level of retirement planning was significantly associated with gender, age, education level, employment status, monthly family income, monthly expenditure on spending to support parents, and perceived household economic condition. When the samples were divided by sex, the results showed that the perceived household economic condition was the most significant factor for both men and women's level of retirement planning. Age and education level were the significant factors for women's level of retirement planning but not for men's. Logistic regression was used to analyze whether middle-aged people made financial preparation for old age. For the whole sample, whether or not a person was a regular employee, monthly family income, monthly expenditure on supporting parents, perceived household economic condition, and retirement planning were significant variables in determining financial preparation. For men, whether or not a person was a regular employee, monthly family income, perceived household economic condition, and retirement planning were significant factors, for women whether or not a person was a regular employee, and retirement planning were the significant factors in determining financial preparation. The results implied that retirement planning is needed for middle-aged people to prepare for old age financially while the financial preparation should differ depending on sex.

• Journal of Families and Better Life
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• v.26 no.5
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• pp.129-142
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• 2008

This study examines how economic and psychological characteristics affect the quality of life (QoL) of elderly individuals age 60 and older, who live in the Seoul-metropolitan area. Relationships among socio-demographic status, economic conditions, psychological characteristics, family life, health status, and QoL are examined by t-test and ANOVA(Duncan's test as post hoc multiple comparisons), and the multiple regression analysis is used to estimate QoL determinants in the elderly. The major findings of the study are as follows. First, younger age, higher education levels, better health status, harmonious family relations, higher levels of household income, lower levels of loneliness, and higher self-esteems are related to higher QoL levels. Second, the impacts of factors on QoL are differentiated according to tercile groups that divide monthly allowance of respondents into three categories: below normal (threshold amount below 21MW), near normal (threshold amount between 21MW and 35MW), and above normal (threshold amount above 35MW). For each tercile group, poor health status or higher loneliness have negative effects on QoL, while harmonious family relationship has a positive effect. For the below-normal group, years of education or self-esteem have positive effects, while age or retirement status have negative effects when controlling for other factors. For the near-normal group, being married, or perceived financial insecurity create lower QoL levels, while higher self-esteem increases QoL levels. For the above-normal group, being widowed, employed, or retired have positive effects on QoL, when controlling for other variables. Third, even among elderly with high allowances, the effects of health status and family relationship are significant determinants that explain QoL levels. This result suggests that, for te elderly, poor health status and poor family relationships severely decrease QoL in later life, regardless of economic condition.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.17
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• pp.7981-7986
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• 2015

Background: As coverage of public insurance is not sufficient to cover diagnosis or treatment of cancer, having private health insurance is important to prepare for unexpected expenses of cancer. The purpose of this study was to assess factors associated with having private cancer insurance, considering gender among the socio-demographic factors and health behavior. Materials and Methods: We used data from the 2011 Korea Health Panel, which included 10,871 participants aged 20 years and older. Socio-demographics, health behavior, and perceived cancer risk were the independent variables and having private cancer insurance was the dependent variable. Multivariable logistic regression analysis was used to identify factors associated with having private cancer insurance. Results: The variables relating to middle age, higher education, higher household income, married men, and the perceived cancer risk groups of 1-10% and 11-30% were significantly associated with having private cancer insurance. Additionally, females who had private non-cancer health insurance were positively associated with the dependent variables (OR=1.36; 95% CI=1.17-1.57). Education, smoking status, exercise, and perceived cancer risk possibility were significantly associated with having private cancer insurance only among women. The men lowered the overall percentages of those having private cancer insurance (OR=0.53, 95% CI=0.45-0.63). Conclusions: We found that there were significant differences between men and women who had private cancer insurance. Women with private cancer insurance are more likely to follow precautionary health behavior than men. This could be interpreted as resulting from masculine ideologies. It is important to make males recognize the seriousness of the cancer risk. In general, household income was highly associated with private cancer insurance. These results reveal an inequity among the buyers of private cancer insurance in terms of economic status level, education level, and health condition.