• Journal of the Korean Home Economics Association
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• v.42 no.11
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• pp.31-45
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• 2004

The purpose of this study was to provide basic information about the facility planning to reduce elderly isolation and to improve their rehabilitation ability. Four re%archers observed the using behavior of the elderly residents in the corridor and lounge of 5 facilities. The results of the study were as follows. The using rate of the lounge wis higher than that of the corridor since most of the elderly were controlled by the staffs at the lounge. The facility could decrease the crowd of the lounge by arranging the sofa at the corridor-especially surrounding the atrium. The use rate in the lounge was very dependent on the time of the day, because its use was influenced mainly by daily schedule, and this resoled in it being largely inactive most of the time. A counter plan is needed to encourage natural interaction among the elderly. Individual or small group activities are required in addition to the regular programs. Since the furniture arrangements_(sofas and tables) at the corridor could induce elderly isolation and inactivity, various equipments should be arranged for the self-controlled activities. The indirect participation in the regular activities, which are usually conducted in the lounge, should also be considered in the corridor so that the elderly could observe them at any places.

• Proceedings of KHEA Conference
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• 2004.04a
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• pp.158-158
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• 2004

• Proceedings of the KHMA Conference
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• 2005.05a
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• pp.174-175
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• 2005

• Proceedings of the Population Association of Korea Conference
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• 2007.06a
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• pp.63-77
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• 2007

• Journal of agricultural medicine and community health
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• v.46 no.4
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• pp.280-294
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• 2021

Objectives: The purpose of this study is to investigate the effects of social capital characteristics, socio-demographic characteristics, physical condition, and health behavior characteristics on health-related quality of life of the elderly in Korea. Methods: T-test, one-way ANOVA, and regression analysis were performed by applying a complex sample design to 57.787 people aged 65 and over using the 2019 Community Health Survey. Results: First, as a result of complex-sample T-test and ANOVA analysis, it was found that there were differences in health-related quality of life according to social capital characteristics, physical condition & health behavior characteristics, and socio-demographic characteristics. Complex Sample Regression Analysis Results, the explanatory power of the model was 28%. When living in the metropolitan area, living in an apartment building, having a spouse, having a higher household income, economic activity, higher educational attainment, increase sleeping time, walking time, frequent binge drinking, health checkup, networking, trust, and social participation showed higher health-related quality of life. When people were older, their gender was female, higher BMI, number of chronic diseases, and severe stress that showed lower health-related quality of life. Conclusions: It was proved that the factors affecting the health-related quality of life of the elderly are not only physical condition and health behavior factors, but also social capital and socio-demographic characteristics. It was found that the role as a member was important.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1646-1648
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• 2013

고령화 되어 가는 현대 사회에서 노인들이 일반 성인과 동등한 수준에서 정보를 접근 가능하도록 스마트기기의 손쉬운 인터페이스 방법이 요구된다. 음성 인터페이스는 노인들의 스마트기기 활용도를 높여 줄 수 있지만, 성능이 평균적 성인연령 대의 발성행태에 최적화되어 있어, 노인들이 사용할 경우 음성인식률 저하를 초래한다. 그래서 노인 친화형 음성 인터페이스를 개발하기 위한 일환으로 노인음성에 대한 인식률을 향상시켜 줄 수 있는 전처리 알고리즘을 개발하고자 한다. 이를 위해 노인층과 청년층을 대상으로 음성샘플을 수집하여 분석하였고, 그 결과 노인이 청년에 비해 발성속도가 느리며 이는 스마트기기의 음성인식 기능저하로 이어진다는 것을 확인할 수 있었다.

• Journal of Nutrition and Health
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• v.50 no.2
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• pp.171-179
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• 2017

Purpose: We conducted comparative analysis of dietary behavior and food and nutrient intakes of Korean elderly in urban and rural areas using the 2014 Korea National Health and Nutrition Examination Survey (KNHANES). Methods: This study was conducted on 1,239 participants (urban elderly: 867, rural elderly: 372) aged 65 years and over who participated in the health examination and nutrition survey in the 6th 2014 KNHANES. Dietary behaviors, including skipping meals, eating out frequencies, and food and nutrient intakes were analyzed using 24-hour recall data. Analysis of complex sample design data through SPSS 19.0 was used for the analysis. Results: The rate of skipping dinner was higher in urban (6.5%) than in rural elderly (3.6%) (p < 0.05), and the frequency of eating out per week of urban elderly (1.73) was higher than that of rural elderly (1.35) (p < 0.001). The rural elderly consumed a greater amount of grain compared to urban elderly, whereas consumption of water, seaweed food, and dairy products was lower in rural than in urban areas (p < 0.05). The rural elderly consumed significantly less highly unsaturated fatty acids, n-6 fatty acids, phosphorus, iron, vitamin A, carotene, niacin, and vitamin C in comparison with elderly in urban areas. Comparison of the percentages of Dietary Reference Intakes for Koreans (KDRIs) between the two groups showed that intakes of vitamin A and vitamin C were significantly lower in the rural elderly than in urban elderly. Conclusion: The elderly in rural areas showed unbalanced food and nutrient intakes compared to the elderly in urban areas. Therefore, customized nutrition education according to residential areas should be developed and provided to rural elderly to improve their health and nutritional status.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.7078-7088
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• 2015

This study examined effects of health behaviors and sleep related factor on cognitive function in the elderly hypertensive patients. Data were collected through a face to face interview survey with structured questionnaire form 140 elderly with hypertension ($age{\geq}65years$) from February 5 to May 1, 2013. Research instruments included Pittsburgh Sleep Quality Index(PSQI), Epworth Sleepiness Scale(ESS) and Korean version the Mini-Mental State Examination(MMSE-K). Cognitive function was negatively related to degradation in quality of sleep(r=-.29, p<.001). Sleep duration were negatively related to body mass index(r=-.18, p=.032) and degradation in quality of sleep(r=-.59, p<.001). Sleep duration was positively related to daytime sleepiness(r=.22, p=.008). Hierarchical multiple regression showed that age, education levels and living arrangement were associated with cognitive function(F=8.56, p<.001, Adjusted $R^2=.14$). After controlling for demographic characteristics and health behaviors, degradation in quality of sleep(${\beta}=-.27$, p=.008) was identified as significant predictors of cognitive function. This final model explained 17.0% of the cognitive function in the elderly hypertensive patients(F=4.09, p<.001). Therefore, as a strategy improving cognitive function of the elderly with hypertension, therapeutic intervention should be developed to improve quality of sleep considering age, education levels and living arrangement.

• The Journal of Korean Institute of Next Generation Computing
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• v.13 no.6
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• pp.96-105
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• 2017

In this paper, we investigated the age classification from the speaker by analyzing the voice calls of the emergency center. We classified the adult and elderly from the call center calls using behavioral speech utterances and SVM(Support Vector Machine) which is a machine learning classifier. We selected two behavioral speech utterances through analysis of the call data from the emergency center: Silent Pause and Turn-taking latency. First, the criteria for age classification selected through analysis based on the behavioral speech utterances of the emergency call center and then it was significant(p <0.05) through statistical analysis. We analyzed 200 datasets (adult: 100, elderly: 100) by the 5 fold cross-validation using the SVM(Support Vector Machine) classifier. As a result, we achieved 70% accuracy using two behavioral speech utterances. It is higher accuracy than one behavioral speech utterance. These results can be suggested age classification as a new method which is used behavioral speech utterances and will be classified by combining acoustic information(MFCC) with new behavioral speech utterances of the real voice data in the further work. Furthermore, it will contribute to the development of the emergency situation judgment system related to the age classification.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2001.05a
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• pp.25-28
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• 2001

In modem society, the development of science and industrialization has brought economic growth, and better living environment, improved food life, advanced medicine, and increased span of life have leaded us into the aging society. In the current situation to move toward the aging society, it's needed to prepare housing planning for retirement community in consideration of the physical and psychological and behavioral features of the elderly to raise their quality of life. The purpose of this study was to map out proper housing planning for retirement community in consideration of the physical, psychological and behavioral characteristics of senior citizens, instead of just focusing on comfortable and convenient one.