• Therapeutic Science for Rehabilitation
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• v.11 no.1
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• pp.87-99
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• 2022

Objective : Through the application of the Anderson model, this study provides an empirical analysis of the decision-making factors for participation in cognitive improvement programs for the elderly living in the community. Methods : This study was conducted through an online survey. The participants were elderly people aged 65 years or older living in the community. The survey had 154 participants and was conducted over a two-month period from August to September 2020. Results : The main results of this study were as follow: first, there was no correlation between the predisposing factors and cognitive improvement program; second, among the enabling factors, diversity, interest, and effectiveness of the program were correlated with the cognitive improvement program; and third, there was no correlation between participation in the cognitive improvement program and need factors. Conclusion : This study shows that the results of basic information and evidence will be identified through analysis of the results of the study and that the implications for the development of cognitive improvement programs will be obtained in the future.

• Korean Journal of Social Welfare
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• v.47
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• pp.206-242
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• 2001

A survey research was conducted for a sample of 306 adult children who have an elderly parent or both parents alive. The purpose of the research was to test a structural equation model which specified the effects of early family relationships on comtemporary relationships and assistance patterns between adult children and their parents. The data were analyzed using EQS for Windows 5.7, utilizing maximum likelihood method. The results showed that early family relationships affected filial concern first, which in turn affected the level of assistance provided by adult children for elderly parents. No direct effect has been found between early family relationships and the level of assistance by adult children for elderly parents. Filial concern was played as an intervening variable. Early family relationships gave no direct effects to adult children's intention to assist their parents. Here again, filial concern was played as an intervening factor. Adult children's intention to assist their parents had not been led directly to provision of actual support to parents by their adult children. Thus, it was identified that intention to support is one thing, and the actual support is another. Controlling for the effects of filial concern, overall, early family relationship patterns gave no differential effects to the different aspects of support provided to parents by their adult children. On the basis of these results, this paper provided both discussions and suggestions for some strategies of intervention in the present family relationships in order for the inter-generational exchange of supports to happen in the future.

• Journal of Internet of Things and Convergence
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• v.6 no.4
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• pp.39-48
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• 2020

This study intends to the estimate the determinants and state dependence of long-term care services in Korea. For this purpose, we analyzed the transition patterns among three states of long-term care service utilization over time by using the Korea Welfare Panel Study data with the random effect multinomial logit model. It is found that the result showed a strong state dependence in long-term care service utilization. Especially, long-term care insurance for the elderly showed a strong state dependence among others. Among the individual demographic characteristics, the higher the age, the higher the probability of using long-term care insurance for the elderly, while the lower the probability when married. The characteristics of the residential region showed that the residents of the urban-rural integrated region had a significantly higher probability of using long-term care insurance than the reference region. The results of this study suggest that the long-term care service users have a strong state dependence, which means that it is important to take into account the increase in the utilization period of existing users in future demand forecasting.

• Communications for Statistical Applications and Methods
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• v.28 no.4
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• pp.393-410
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• 2021

The Korean Long-Term Care Insurance (K-LTCI) provides financial support for long-term care service to people who need various types of assistance with daily activities. As the number of elderly people in Korea is expected to increase in the future, the demand for long-term care insurance would also increase over time. Projection of future expenditure on K-LTCI depends on the number of beneficiaries within the grading system of K-LTCI based on the test scores of applicants. This study investigated the suitability of mixture distributions to the model K-LTCI score distribution using recent empirical data on K-LTCI, provided by the National Health Insurance Service (NHIS). Based on the developed mixture models, the number of beneficiaries in each grade and its variability under the current grading system were estimated by simulation. It was observed that a mixture model is suitable for K-LTCI score distribution and may prove useful in devising a funding plan for K-LTCI benefit payment and investigating the effects of any possible revision in the K-LTCI grading system.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.11
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• pp.537-542
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• 2017

Aggressive driving is a major cause of car accidents. Previous studies have mainly analyzed young driver's aggressive driving tendency, yet they were only done through pure clustering or classification technique of machine learning. However, since elderly people have different driving habits due to their fragile physical conditions, it is necessary to develop a new method such as enhancing the characteristics of driving data to properly analyze aggressive driving of elderly drivers. In this study, acceleration data collected from a smartphone of a driving vehicle is analyzed by a newly proposed ECA(Enhanced Clustering method for Acceleration data) technique, coupled with a conventional clustering technique (K-means Clustering, Expectation-maximization algorithm). ECA selects high-intensity data among the data of the cluster group detected through K-means and EM in all of the subjects' data and models the characteristic data through the scaled value. Using this method, the aggressive driving data of all youth and elderly experiment participants were collected, unlike the pure clustering method. We further found that the K-means clustering has higher detection efficiency than EM method. Also, the results of K-means clustering demonstrate that a young driver has a driving strength 1.29 times higher than that of an elderly driver. In conclusion, the proposed method of our research is able to detect aggressive driving maneuvers from data of the elderly having low operating intensity. The proposed method is able to construct a customized safe driving system for the elderly driver. In the future, it will be possible to detect abnormal driving conditions and to use the collected data for early warning to drivers.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.170-181
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• 2022

We live in a digital age. Smartphones are used by everyone from children to the elderly. And many smart devices are pouring out and changing our daily life a lot. However, even in the development of this digital age, there are some marginalized groups. There are also those who are reluctant to expose their information in the digital age. They have difficulty making reservations on their smartphones, using payment systems, logging into the site using various authentication and verification procedures, and entering and leaving buildings. We still carry most IDs, seals, certificates, etc. in physical form. Those who use smartphones are enjoying the convenience of the times. However, among the underprivileged, the desire to pass everything with only one device is growing. In this study, the most suitable smart band model was proposed by collecting the Delphi survey and the opinions of the general public. Future research is required to improve practical usability and utility by developing cheaper and more convenient models.

• Journal of the Korea Convergence Society
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• v.11 no.4
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• pp.233-245
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• 2020

This study aims to investigate the relationship between positive psychological capital and entrepreneurial intention among middle-aged and elderly individuals who are interested in starting their own business by focusing on the mediating effect of risk sensitivity and the moderating effect of asset status. To accomplish the study's objective, a questionnaire was administered to approximately 250 middle-aged and elderly people working in Seoul from December 1 to December 31, 2019. Collected data were analyzed using SPSS 26.0. Specifically, frequency analysis and descriptive statistics were conducted, and reliability of the constructs was assessed. Factor analysis was used to measure the goodness of fit of the model developed. Finally, a structural equation model was established, and analysis was conducted on the test of the hypotheses about the mediating, moderating, and adjusting effects using the AMOS statistical package. The results revealed that positive psychological capital had a positive impact on risk sensitivity, and the path analysis of self-efficacy and entrepreneurial intention as well as resilience and entrepreneurial intention showed results of 0.042 and 0.026, respectively, supporting mediating effects. In the causal relationship between positive psychological capital and entrepreneurial intention, asset status acted as a moderator given that the chi square difference between the models was 7.096. Thus, the findings provide implications for comprehensive training programs to boost positive psychological capital and asset status in middle-aged and elderly individuals who are preparing to establish their own business. Further studies are needed to cover broader geographic areas and compare/analyze other variables associated with business startups.

• Asian Journal of Business Environment
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• v.9 no.4
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• pp.23-28
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• 2019

Purpose - With rapid population aging in Korea, changes in the population structure will result in a rise in the fiscal burden. This paper investigates the effects of population aging on fiscal spending based on Korea's province data and country panel data from the OECD. Research design, data, and methodology - We use province-level fiscal data from Local Finance Integrated Open System and the Korean Statistical Information Service and also collect country panel data from the OECD. To investigate the relationship between population aging and fiscal expenditures, our analysis uses the fixed effects model. Results - The empirical analysis based on Korean local finance and country panel data show that population aging has a positive impact on social welfare expenditures and it also has a positive impact on spending related to children and the elderly, implying that population aging may lead to an increase in fiscal spending via an increase in social welfare expenditures and spending related to children and the elderly. Conclusion - These empirical results suggest that countries like Korea that expect to experience rapid population aging need to pay more attention to prepare for the expected increase in age-related spending in the near future.

• Journal of The Korean Society of Integrative Medicine
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• v.6 no.4
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• pp.149-169
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• 2018

Purpose : This study was to develop a strategy for modeling future workforce projections to serve as a basis for analyzing annual supply of and demand for physical therapists across the South Korea into 2030. Methods : In-and-out movement model was used to project the supply of physical therapists. The demand was projected according to the demand-based method which consists of four-stages such as estimation of the utilization rate of the base year, forecasting of health care utilization of the target years, forecasting of the requirements of clinical physical therapists and non-clinical physical therapists based on the projected physical therapists. Results : Based on the current productivity standards, there will be oversupply of 39,007 to 40,875 physical therapists under the demand scenario of average rate in 2030, undersupply of 44,663 to 49,885 under the demand scenario of logistic model, oversupply of 16,378 to 19,100 under the demand scenario of logarithm, and oversupply of 18,185 to 20,839 under the demand scenario of auto-regressive moving average (ARIMA) model in 2030. Conclusion : The result of this projection suggests that the direction and degree of supply of and demand for physical therapists varied depending on physical therapists productivity and utilization growth scenarios. However, the need for introduction of a professional physical therapist system and the need to provide long-term care rehabilitation services are actively being discussed in entering the aging society. If community rehabilitation programs for rehabilitation of disabled people and the elderly are activated, the demand of physical therapists will increase, especially for elderly people. Therefore, healthcare policy should focus on establishing rehabilitation service infrastructure suitable for an aging society, providing high-quality physical therapy services, and effective utilization of physical therapists.

• The Journal of Korean Academic Society of Nursing Education
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• v.10 no.1
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• pp.7-19
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• 2004

This study has a purpose to devise an education program in relation to Gerontology and geriatrics applicable to Korean nurses through literature review and analysis of education programs utilized by the Geriatric Education Centers (GECs) of USA. Educational contents on gerontology and geriatrics are very diverse in precedent literatures. The education programs of GECs for health care personnel are equally very diverse. Among educational contents, subjects considered important are age-related changes, health problems of the aged, pharmacology, death, fall and osteoporosis, delirium, dementia, depression, urinary incontinence, communication with elderly. Methods used in education program are mainly seminar, workshop and lecture through internet. In addition, case study, small-group discussion and conference are also adopted. The program proposed in this study for nurses in relation to gerontology and geriatrics consists of 32 hours' education; 6 hours for age-related changes, 10 hours for health problems of the elderly, 14 hours for health problems in old age and 2 hours of communication technique. Educational method proposed is to utilize lecture through internet, direct education, workshop, practical exercise, case study and role play in parallel. This study proposed an education program on the basis of precedent literature and the program of GECs. Therefore, it is desirable to develop in the future more practical education program applicable to and required in practicing fields. Of course, this development needs to be based on nurses' educational needs by field in relation to gerontology and geriatrics.