• Korean Journal of Health Education and Promotion
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• v.13 no.2
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• pp.115-129
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• 1996

This study was designed to provide the material for the development of policies for the improvement of the quality of life the elderly by identifying the relationship among general characteristics, mental health, physical health and social health which exert an effect on the improvement of the quality of old people’s lives, development of a model capable of enhancing the quality of life for the elderly and establishing the future direction of health education. 1000 old people who were more than 60 years old were selected as subjects for this study, and the interview and inquire methods using the questionnaire and the self-completion method were employed to obtain data. 1. It was shown that there was a significant difference between the home elderly and Institutionalized elderly in terms of all measured items except stress item of general characteristic, as well as on almost measured items of physical health, mental health and social health, and it was shown that there was the interaction between departments. 2. Since it was shown that general characteristics, mental health, physical and social health were interrelated, it can be seen that one characteristic is mutually related to other characteristics.

• 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.

• The Korean Journal of Community Living Science
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• v.17 no.4
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• pp.67-80
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• 2006

This study conducted research on the actual state of community-oriented services for elderly rural inhabitants and their desire related to them to develop a local community service network model suitable to the characteristics of rural longevity villages. The research was conducted on 906 elderly people over 65 living in 20 rural longevity villages through questionnaires assessing filming and economy, economic activity, health care, learning and leisure activities as well as asking their wants and needs relative to local community services. As a result, it was found rural elderly people showed a high desire for local community services such as health, transportation and economy activity. In addition, they were mainly cultivating farm products as their economic activity and showed a high demand in the future as well. Most were found to take a walk in the healthcare field and showed a high demand for health examinations, health education, health consulting, hot spring bathing and basking in the woods. Respecting learning, social and leisure activities, they were mostly found to watch TV and do house chores, and showed a high desire for village environment repair, traditional farm music, visiting and tourism. With the above results, it is expected that the desire of rural elderly for such services can be satisfied, and the development of a local community service network model suitable to the characteristic of a local community is recommended.

• 한국노년학
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• v.38 no.3
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• pp.537-550
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• 2018

The purpose of this study was to investigate the status of total body water and it's influencing factors in community elderly. In this descriptive study, data were collected from 135 elderly at senior citizen center, from October 4 2016 to February 28 2017. Surveys using questionnaire and anthropometric measurements for BMI and total body water were done for data collection. The results of the study showed that while most of the subjects of the study showed total body water within the appropriate range, some elderly especially elderly women show a degraded total body water. Total body water showed significant difference according to sex, body mass index, number of chronic illness, number of medication and urinary incontinence levels. Significant influencing factors were BMI(${\beta}=-0.51$, p=<.001), sex(${\beta}=-0.47$, p=<.001) and this regression model explained 51% of the variance in total body water. In the future, attention needs to be paid to the total body water of the elderly in the local community, especially to the elderly women with risk factors.

• 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.

• Journal of Information Technology Services
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• v.20 no.1
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• pp.117-130
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• 2021

The Korean society is transforming into the intelligence information society rapidly during the 4th industrial revolution. But middle aged and elderly people are hard to access and accept these changes. So, the purpose of this study is to examine the Intelligence information society factors affects life satisfaction among the elderly by moderating effect of on/offline social capital. This study analyzed data of 2,303 people between the ages over 50 from the 2018 Digital Divide Survey conducted by the National Information Society Agency (NIA) using SPSS26.0. The result showed that sex, age, education, household type, Intelligence information society perception, expectation, anxiety are significantly effected life satisfaction. Also on/offline social capital had moderating effect between intelligence information society and life satisfaction. Based on the results of this study proviedes a basis for developing a success model for elderly people who accepts the intelligence information society. Also, this study identifies the implications and future studies are suggested.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.289-294
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• 2020

Peptic ulcer disease is a gastrointestinal disorder caused by Helicobacter pylori infection and the use of nonsteroid anti-inflammatory drugs. While many studies have been conducted to find the risk factors of peptic ulcers, there are no studies on the suggestion of peptic ulcer prediction models for Koreans. Therefore, the purpose of this study is to implement peptic ulcer prediction model using machine learning based on demographic information, obesity information, blood information, and nutritional information for middle-aged and elderly people. For model building, wrapper-based variable selection method and naive Bayes algorithm were used. The classification accuracy of the female prediction model was the area under the receiver operating characteristics curve (AUC) of 0.712, and males showed an AUC of 0.674, which is lower than that of females. These results can be used for prediction and prevention of peptic ulcers in the middle and elderly people.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.803-815
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• 2021

As the world's aging population increases, the aging problem in China, which has a huge population, has reached a serious situation. Therefore, this study intends to present the CCRC model of smart home care. Seven application factors of CCRC of smart home care and problems of CCRC of smart home care in China were derived through theoretical review and case analysis. Based on this, this study presented a value proposition for the 7 application elements of smart home care CCRC tailored to China's aging status and future technology demand. First, it improves the environmental atmosphere and increases the comfort of the spatial environment. Second, we value the physical and environmental safety of the elderly. Third, online convenience services are provided. Fourth, we guarantee the health and psychological health of the elderly. Fifth, it increases the efficiency of responding to unexpected situations. Sixth, predict the physical condition and surrounding environment of the elderly. Seventh, add more recreational rides. Through this, we expect to improve the quality of life by providing a safe and comfortable smart service environment for the elderly.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.325-329
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• 2001

This paper tests existence of precautionary saving motive under health uncertainty, using household level panel data from Korea. For this purpose, this paper considers a dynamic health capital model with health uncertainty and derives testable equations for changes in consumption and medical expenditures. Under this framework, households who face future health uncertainty will exhibit precautionary behavior by depressing consumption or increasing investment in health. To test this hypothesis, the paper uses the conditional variance of health as the direct measure of health uncertainty, obtained by estimating a multinomial logit model. Empirical results using the Korean Household Panel Study (KHPS, 1993 - 1997) suggest that Korean elderly households follow the precautionary behavior to insure against future health risk.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.14 no.4
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• pp.62-72
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• 2015

Nowadays the issue of aging society has received considerable critical attention, especially in transportation planning and demand forecasting. This study identified the factors related to travel time budget for elderly by purpose using seemingly unrelated regression model (SUR model). The SUR model is suitable when error terms of each equation are assumed to be correlated across the equations in terms of travel time budget which is constant in 2 hours per day commonly. The results showed that elderly's travel time budget was affected by individual, household, urban facility and transportation service. The leisure travel comprised a large proportion of total travel time and had a positive relationship with elderly, sports, religious facilities. Moreover, the elderly who had low income or unemployed person had low frequency of social activity such as leisure, shopping and business. This study can provide a comprehensive implications of forecasting the future travel demand and analyzing the travel behavior.