• Journal of Korean Academy of Nursing
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• v.31 no.5
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• pp.749-758
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• 2001

The purpose of the study was to analyze the functional status of low income elderly living at home according to their socio-economic factors, sensory function, health status, medical service utilization, commodity and types of chronic disease. Method: Functional status was defined by the level of mobility, ADL and IADL categorized as independently functional, mildly impaired, moderately disabled, and severely disabled. The data was collected by home-visit interviews with 567 community dwelling adults who were 65 years of age or more with low a income status subsidized by government in ChonAn. Results: 9.9% of community dwelling older adults were severely disabled, and 44.4% were moderately disabled in their functional status. There were significant differences in the functional status by age, education, religion, and types of family structure. The older adults with hearing impairment or dental problems had a significantly higher rate of severe disability. Self-rated health status and medical service utilization were also significant factors to the differences in functional status. The functional status of older adults was also significantly related to the presence of chronic health problems such as chronic back pain, stroke, and Alzheimer-dementia. Conclusion: The results confirmed that community dwelling older adults with low income status were more functionally disabled in comparison to general older adults at national level, while the relating factors to their functional status seemed similar to other studies on older adults. Further studies were suggested to look into functional status longitudinally and focus on the changes of functional status by managing modifiable influencing factors.

• Korean Journal of Social Welfare
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• v.54
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• pp.203-220
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• 2003

The purpose of this study is to identify and empirically study the factors that significantly influence amount and types of Informal caregiving to severely disabled elderly who have functional limitations. For this research, a set of caregivers living with the severely elderly were surveyed. Among collected data, data for 211 caregivers were used for this study. The results suggest that a variety of factors determine informal caregivers do systematically determine their allocation of time to the provision of elderly care. The results of four OLS regressions using data surveyed are as follows. First, The hypothesized role of income is supported in model 1 of the four regression models. Second, the technological components of informal care production significantly influences caregiving hours include the number of ADLs and IADLS needs help, the number of caregivers in the team, the utilization of formal services. Third, any component of production technology of household goods do not significantly influence caregiving hours. Fourth, the components of preferences significantly influence caregiving hours include caregiver's participation in market work, willingness money to pay market-purchased care for the elderly.

• Journal of Industrial Convergence
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• v.18 no.6
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• pp.139-146
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• 2020

Care of people with severe disabilities requires care throughout their life cycle compared to non-disabled families. For this reason, carers of severely handicapped families are highly likely to have negative feelings throughout the family as well as daily stress. Disabled families also have a high rate of experiencing difficulties between non-disabled children or married couples in life centered on the disabled. In particular, the rapid aging in Korea affects the lives of the elderly disabilities along with the aging of the caregivers. The study explored alternatives to realistic support through the past and present experiences of caregivers with disabilities through qualitative research methods, and derived hopes and expectations for the future as follows.First, after confirming the disability for infants and toddlers with disabilities, information about the support system or system is provided from the rating agency. Second, providing "customized care support" suitable for the type of disability or individual characteristics at the social, political, institutional, and economic levels. Third, the provision of programs for non-disabled children and the provision of healing programs only for families with disabilities or those with disabilities. Fourth, the provision of spaces and programs that provide rest and rest for adults with disabilities. Fifth, the application of a long-term care system for the elderly reflecting the aging age of the disabled and institutionalization of community care for the disabled. The research is meaningful in that it presents discussion points for improving the quality of life of adults and the elderly with disabilities.

• Health Policy and Management
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• v.27 no.2
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• pp.177-185
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• 2017

Background: The mental problems of the elderly are at issue as a serious social phenomenon. The purpose of this study is to identify risk factors affecting the mood disorders of the elderly. Methods: The subjects were 1,779,236 aged ${\geq}65$ and participated in health screening. Dependent variable was mood disorders. Independent variables were consisted of community level (regional deprivation index and healthcare resources) and individual level (sex, age, insurance type, disability, smoking, alcohol, physical activity, body mass index, and healthcare utilization). Multilevel logistic regression was performed. Results: At the individual level, women, employed insured, severely disabled people, heavy alcohol drinkers, high-intensity physical activity, body mass index, and patients who had chronic disease and severe disease were significantly associated with mood disorders. As the age has increased, it has let increase of mood disorders. At the community level, as the regional deprivation index has increased by 1, mood disorders has been increased by 1.005 times. The intra-class coefficient was 7.04%. Conclusion: We found individual and community level factors are associated with mood disorders. Systematic approach is essential to reduce mood disorders.

• Journal of Internet Computing and Services
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• v.20 no.6
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• pp.137-142
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• 2019

This paper Various services exist to detect and monitor abnormal event. However, most services focus on fires and gas leaks. so It is impossible to prevent and respond to emergency situations for the elderly and severely disabled people living alone. In this study, AI model is designed and compared to detect abnormal event of heart rate signal which is considered to be the most important among various bio signals. Specifically, electrocardiogram (ECG) data is collected using Physionet's MIT-BIH Arrhythmia Database, an open medical data. The collected data is transformed in different ways. We then compare the trained AI model with the modified and ECG data.