• 한국노년학
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• v.41 no.4
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• pp.547-566
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• 2021

The purpose of this study is to analyze the effect of social activities on healthy life expectancy (HLE) by gender difference. HLE implies an estimate of how long an individual can expect to live in full health or without disease and/or disability. Morbidity, mortality, and functional health status usually have been known as key variables. Many researchers have tried to investigate factors affecting HLE in countries level by performing comparative analyses. In micro level, there have been some studies about social factors affecting HLE in individual level. However, few studies are found focusing on the relationship between HLE and social activities. This study anlayzes 4,029 over 65 years of age from the first wave (2006) to the seventh wave (2018) of the Korean Longitudinal Study of Ageing (KLoSA), which is a national panel data collected by Korea Employment Information Service. The data has been collected as a part of social and economic policies planning for Korean government. HLE was measured by life period without disease or disability. One of findings is that male older adults (76.9 yrs) show higher HLE in comparing to female group (75.3 yrs). Female group appeared to be more likely to have higher incidence rate and disorders. Another finding indicates that age, number of chronic diseases, and subjective health status affect HLE of both groups. Finally, regarding social activities, religion affiliated activities appear to significantly affect HLE of both groups. In case of male older adults, alumni or hometown gathering also appeared another activities affecting HLE. This study indicates that the effect of social activities types on HLE among older adults appears differently by gender. Further, unlikely of longer life expectancy among female older adults as known, HLE shows a reverse estimate, longer healthy life expectancy among male older adults. This finding may imply that later life of female older adults shows lower quality of life in comparing to that of male group, even if female life expectancy has been higher. This study encourages to develop more social activity programs for older adults in community level. Specifically, more attention is required to planning for programs targeting female older adults.

• Journal of Korean Dental Hygiene Science
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• v.7 no.1
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• pp.1-15
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• 2024

Background: This study aims to determine the association between the number of remaining teeth and oral health-related quality of life according to economic activity status in elderly. Methods: Data from the 9th Korean Longitudinal Study of Ageing (KLoSA) were used to analyze 6,004 older adults aged 59 years and older. The number of remaining teeth was categorized as less than 20 and more than 20, and the Geriatric Oral Health Assessment Index (GOHAI) was used to measured the oral health-related quality of life of the elderly. Independent t-tests were performed to compare demographic, economic, sociodemographic, and health characteristics, as well as GOHAI scores, between economically active and inactive individuals. In the case of ANOVA analysis, Scheffe's post hoc analysis was performed to confirm statistical significance between groups. Linear regression analysis was conducted to determine the influence of the number of remaining teeth on GOHAI according to economic activity status. Results: Among the study population, 33.9% were economically active, which is approximately half the proportion of those were not economically active. The mean GOHAI scores were 43.32 and 40.15 for economically active and economically inactive individuals with 20 or more residual teeth, respectively (p<0.001). Simple linear regression analysis revealed that having more than 20 remaining teeth was associated with a statistically significant increase in GOHAI by approximately 4.56 times and 4.92 times compared to having fewer than 20 teeth for economically active and non-economically active individuals, respectively (p<0.001). Multiple linear regression analysis, adjusted for demographic, economic, sociodemographic, and health characteristics, showed that having more than 20 remaining teeth was associated with a statistically significant increase in GOHAI by approximately 3.62 and 2.97 times compared to having fewer than 20 teeth in economically active and non-economically active individuals, respectively (p<0.001). Conclusion: This study explored economic activity status as one of several approaches to enhance the oral health-related quality of life of the elderly. By using the number of remaining teeth as an indicator of oral health status. supporting economic activity could potentially improve both oral health and overall quality of life for older individuals. Such interventions may have positive effects on policy outcomes, including reducing economic inequality by promoting economic engagement among the elderly.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.127-138
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• 2020

This study aims to analyze influences of self-perceived health, participation in social activities on life satisfaction and mediating effect of participation in social activities of the elderly by age group. For this, Structural Equation Model(SEM) was implemented by using data of the 6th wave of KLoSA with 2,106 young-olds and 2,219 old-olds. The results are as follows: The young-old elderly had higher level of self-perceived health, higher participation in social activities, and higher life satisfaction than the old-old elderly, and the mediating effect of participation in social activities was founded only in the young-old elderly. As a result of multi-group analysis, the influence of self-perceived health on life satisfaction was confirmed by no difference between both groups and the influence of self-perceived health on the participation in social activities was relatively higher in the old-old elderly. In the path of participation in social activities on the life satisfaction, the young-old elderly were found to have a significant effect. Through above results, the intervention plan considering the differences between groups was discussed in order to improve the elderly's life satisfaction.

• The Journal of Industrial Distribution & Business
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• v.11 no.7
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• pp.29-40
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• 2020

Purpose: In modern society, many urban problems are occurring, such as aging, hollowing out old city centers and polarization within cities. In this study, we intend to apply big data and machine learning methodologies to predict depression symptoms in the elderly population early on, thus contributing to solving the problem of elderly depression. Research design, data and methodology: Machine learning techniques used random forest and analyzed the correlation between CES-D10 and other variables, which are widely used worldwide, to estimate important variables. Dependent variables were set up as two variables that distinguish normal/depression from moderate/severe depression, and a total of 106 independent variables were included, including subjective health conditions, cognitive abilities, and daily life quality surveys, as well as the objective characteristics of the elderly as well as the subjective health, health, employment, household background, income, consumption, assets, subjective expectations, and quality of life surveys. Results: Studies have shown that satisfaction with residential areas and quality of life and cognitive ability scores have important effects in classifying elderly depression, satisfaction with living quality and economic conditions, and number of outpatient care in living areas and clinics have been important variables. In addition, the results of a random forest performance evaluation, the accuracy of classification model that classify whether elderly depression or not was 86.3%, the sensitivity 79.5%, and the specificity 93.3%. And the accuracy of classification model the degree of elderly depression was 86.1%, sensitivity 93.9% and specificity 74.7%. Conclusions: In this study, the important variables of the estimated predictive model were identified using the random forest technique and the study was conducted with a focus on the predictive performance itself. Although there are limitations in research, such as the lack of clear criteria for the classification of depression levels and the failure to reflect variables other than KLoSA data, it is expected that if additional variables are secured in the future and high-performance predictive models are estimated and utilized through various machine learning techniques, it will be able to consider ways to improve the quality of life of senior citizens through early detection of depression and thus help them make public policy decisions.

• Korean Journal of Social Welfare
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• v.66 no.1
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• pp.61-85
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• 2014

Lately, as the problem of the aged poverty becomes a big social issue, this paper studies the problem of financial stability with respect to the income and consumption of before-and-after retirement generations. After dividing the data in Korean Longitudinal Study of Ageing(KLoSA) into retired and non-retired groups, this study compares the difference among ageing groups by cross analysis and t-test. First, the result tells that the total personal income of retired group is lower than the one of non-retired group. Second, the public pension income benefit ratio of retired group is only 30% of it's total income, and the amount of public pension appears to be 40% of the total pension income. The benefit ratio of the personal pension income is low as about 1% in both groups, The private transfer income of the retired group takes relatively large portion in its total personal income. Third, as people gets older, financial stability gets worse because consumption does not decrease as much as the income decreases. Fourth, it is turned out that the expectation of old life supporting from nation is low in both groups. Fifth, the factors that affects the income of the public pension in the retired group are gender, age, education, and health status, when compared with the factors to the personal total income of the non-retired group. In terms of policy, this paper emphasizes the needs of the intensification of the public pension and the support for the revitalization of the personal pension.

• 한국노년학
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• v.36 no.3
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• pp.693-709
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• 2016

This study was to investigate depressive symptoms of caregiving grandmothers in South Korea and related factors focusing on caregiving characteristics. The data were drawn from the fourth wave of Korean Longitudinal Study on Ageing (KLoSA). The study participants were 3,291 grandmothers who had at least one grandchild, and we limited our analysis to 127 grandmothers who had provided care for their grandchild(ren) during the past one year. As for the depressive symptoms, Center for Epidemiological Survey-Depression 10(CES-D 10) short version were applied. Caregiving characteristics including caregiving duration by weeks per year, caregiving hours per week and the number of grandchildren who received grandmother care were examined. A multiple logistic regression was performed to detect association between caregiving characteristics and depressive symptoms while adjusting for general socioeconomic characteristics and health status of caregiving grandmothers. The longer duration of caregiving lowered the depressive symptoms and in contrast, those who spent more hours for providing care to their grandchildren were more exposed to the depressive symptoms. Physical pain significantly increased their depressive symptoms and low income level were more likely to induce depressive symptoms. More detailed studies on grandchild caregiving patterns among grandmothers were needed. Also, tailored support policy and services should be considered to alleviate their burden and depression in the future.

• 한국노년학
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• v.37 no.4
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• pp.871-891
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• 2017

The purpose of this paper is to reduce the reverse-causality and overestimate bias of analysis on how health affected middle-aged and elderly worker's early retirement. From the Korean Longitudinal Study of Ageing(KLoSA) panel data, I researched 1,049 people who were 45-52 years old in 2006. To eliminate the reverse-causality problem, I used the health data which is surveyed before retirement. To reduce bias, I controlled the health status when retirees worked. The main results are as follows. First, the worsened health still affects the hazard of early retirement, with reducing the endogeneity problem. Second, chronic illness is one of the strong predictors of early retirement to self-employed, and self-reported bad health is the main health predictor of wage workers. These results give two implications; first, the impact magnitude of the health indicator depends on employment type. Each employment type has different flexibility of working hours. It seems that the flexibility can reduce early retirement hazard with health problems. Self-employed, who has more flexibility of working hours can work until they have to stop working due to the serious health problem or doctor's advice. Second, to promote middle-aged and elderly workers to keep working, the long-term health policy which decreases chronic illness is needed.

• 한국노년학
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• v.36 no.4
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• pp.1125-1139
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• 2016

The current study examines whether retirement changes health behaviors and how the effect differs by reasons for retirement. This study conducts fixed-effects logistic regression analyses, using data from the Korean Longitudinal Study of Aging (KLoSA) over the period 2006 through 2014. Results indicates that retirees are more likely to participate in regular exercise compared to their employed counterparts. Retirement is positively associated with participation in regular exercise regardless of reasons for retirement. The odds of being engaged in smoking among retirees are 50% less relative to those for employees. However, analyses by reasons for retirement reveal that only participants who retired for health problems or reaching retirement age are less likely to smoke cigarettes compared to employed participants. Retirees show significantly lower odds in drinking compared to employees. Yet, further analyses present that only individuals who retired due to health problems are less likely to drink alcohol. Overall, these results suggest that retirement may provide opportunities for positive changes in health behaviors. The present study imply that individuals who retired due to health problems benefits most from retirement in terms of health behaviors compared to retirees who retired for other reasons.

• 한국노년학
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• v.37 no.3
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• pp.687-705
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• 2017

The purpose of present study is to examine the effects of the elderly's assets on life satisfaction, and to examine the indirect effects, such as financial and emotional support exchange with their children, between their assets and life satisfaction. For this study purpose, the 5th data of the Korean Longitudinal Study of Aging (KLoSA) was used. Abstracted from the data, 1,977 cases only for the elderly over 65-year-old were analyzed by employing SPSS 23.0 and SPSS Process Macro. The analysis results are summarized as follows. First, the assets of the elderly had a positive direct effect on the satisfaction of life. Second, the elderly's assets indirectly affected the satisfaction of life through the financial support exchange with their child(ren). Lastly, the elderly's assets indirectly affected the satisfaction of life through the emotional support exchange with their child(ren). Based on these results, this study suggests practical and political implications in terms of social welfare for the elderly's life satisfaction, so as to facilitate the elderly's assets accumulation, and to enhance support exchange between the elderly and their child(ren).

• 한국사회정책
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• v.23 no.1
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• pp.95-123
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• 2016

As Korean society grows rapidly older, a systematic analysis of the determinants of labor supply behavior among the elderly becomes a prerequisite for designing more effective senior employment policies and income security regime for the elderly. Literatures review shows that a majority of previous researches have been ignoring the problem of "endogenous predictor" especially when it comes to the estimation of the effects of the two key variables, education and non-labor income, on labor supply decisions among older people. They have failed to take into consideration the unobserved heterogeneities which might affect both labor supply decisions of the elderly and their levels of education and non-labor income, which means, according to some econometric literatures, that the estimated coefficients of the two predictors can be inconsistent. The paper tries to redress the endogeneity problem by employing a panel logit model with data from the 1st. to 4th. wave of the KLoSA(Korean Longitudinal Survey of Ageing) to estimate the effects of key predictors on the probability of getting jobs among older people(ages of 60 or older). Both a random effects and a fixed effects model reaffirms that non-labor income has a negative effect on the chances of being employed. And a random effects model shows that the effect of education is also negative, as has frequently been reported by previous studies. That means the effects of education and non-labor income on elderly employment remain negative after the effect of unobserved heterogeneities is controled for and the problem of endogenous predictors is redressed through an appropriate panel data analysis. These findings mean, in turn, that when Korean baby-boomers, who had acquired an unprecedentedly higher level of education and were expected to enjoy ever-larger amount of non-labor income than their preceding generations, retires in near future, their incentives to work will become much weaker and the lack of labor-force and the burden of financing increased public pension expenditure will become more troublesome. The paper concludes with recommending some policy initiatives helpful to solve these expected problems.