The purpose of this study was examined effect of physical fitness and exercise participation on healthy aging of the elderly. The subjecrts were a total 319 people that they were participate in the regular exercise, and go to welfare center in Seoul. Data were collected during the period from November 1 to November 30, 2006. The collected data were analyzed frequency, descriptive statistics, correlation and hierarchical regression analysis using the SPSS-Win 12.0 program. The results of hierarchical regression analysis were appeared as follows. According to the results of hierarchical regression analysis, significant factors influencing healthy aging were monthly income, monthly pocket money, self-perceived health status, leg muscle strength, exercise behavior and period of exercise. 2. According to the results, significant factors influencing physiological health were age, marital status, self-perceived health status, exercise behavior and period of exercise. 3. According to the results, significant factors influencing cognitive-mental health were monthly income, monthly pocket money, self-perceived health status, leg muscle strength, exercise behavior and period of exercise. 4. According to the results, significant factors influencing social-support health were monthly income, age, education, self-perceived health status, leg muscle strength, exercise behavior and period of exercise. In conclusion, First, this questionnaire demonstrates good reliability and validity and therefore it is an appropriate measurement of healthy aging for the elderly in Korea. Second, it is important that exercise behavior is main factor to healthy aging life on the elderly. Third, There is important mean values of the items for healthy aging.
Journal of Family Resource Management and Policy Review
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v.25
no.1
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pp.77-89
/
2021
This study uses the life course perspective to analyze the health effects of care transition types on elderly persons who care for their spouses. To this end, the care transition types were divided into ① non-care→non-care, ② non-care→care, ③ care→care, and ④ care→non-care, and health was defined as physical health and the absence of depression. The study used the second through sixth datasets(2008-2016) from the Korea Longitudinal Study of Aging. This resulted in 10,199 observations from 3,987 persons, which were analyzed as a panel analysis model using the STATA16.0 program. The analysis found that physical health was lower in the non-care→care and care→non-care transition types than in the non-care→non-care type. Depression increased in the non-care→care and care→care types. These results suggest that practical and social measures are needed to improve physical health and depression in the elderly who are providing care for their spouses.
The Journal of the Convergence on Culture Technology
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v.8
no.5
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pp.185-191
/
2022
This study tried to identify the factors that affect the participation of national pension beneficiaries in economic activities. Data from the 8th KReIs main survey were used for the study subjects, and the number of subjects was 919. Descriptive statistics, t-test, ANOVA, and regression analysis were performed using SPSS 20.0. As a result, gender, age, marital status, residential area, physical health status, and mental health status showed differences in economic activity participation. Participation in economic activities was correlated with gender, age, marital status, physical health status, and psychological health status. As factors influencing the participation in economic activities of national pension recipients, it was found that gender, age, education level, residential area, and physical health had an effect on economic activity participation.
Journal of agricultural medicine and community health
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v.34
no.1
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pp.13-23
/
2009
Objective: The objective of this study was to evaluate the association of social support with health status and health behavior. Methods: This study was conducted with 79 elderly people in Gunja-ri, Dongsan-myun, Chuncheon. We performed face to face interview which was composed of socio-demographic characteristics, social support, health status and health behavior. The association between social support and result variables was analysed by Chi-square test and logistic regression. We used SAS ver9.1 for statistic analysis. Results: Mean age of the study population was 72.0$\pm$7.0, social support score was 14.3$\pm$4.7 with full marks of 20 and 36.25% of the total population were shown to have depression. When the social support score was changed, depression (p=0.0007) and physical exercise (p=0.0312) showed significant difference. The self-rated health status was significantly related to the relationship with family members (OR=0.25, 95% CI=0.07-0.95) and the quality of sleep was also significantly associated to the relationship with family members (OR=0.21, 95% CI=0.06-0.73). The physical exercise was done significantly less in the group without close friends than in the group with many close friends (OR=0.21, 95% CI=0.05-0.94) and the depression was significantly more in the group without community participation than in the group with community participation (OR=4.79, 95% CI=1.62-14.15). Conclusions: Through this study, we could conclude that the social support factors are associated with health status and health behavior. Therefore, to improve the health status of rural elderly, we need to approach to develop social support.
Background: Falls are among the most common and serious health problems of older people. The psychological symptoms of falling have received relatively little attention compared to physical problems. Objective: The purpose of this study is to test a model to explain the factors that influence fear of falling among older adults living in a continuing care retirement community (CCRC) in Baltimore city, United States. Methods: A secondary analysis was conducted using data obtained from a Health Promotion Survey done on 149 older adults living in a CCRC. Data was originally obtained during face to face interviews with each participant. Descriptive statistics and bivariate correlations were used to describe the sample and evaluate simple correlations. A path analysis was done using the AMOS 4.0 statistical program. Results: Of the 49 hypothesized paths, 13 were statistically significant, and the model accounted for 22% of the variance in fear of falling among the elderly. There was support for the fit of the model to the data with a nonsignificant chi square at 0.478 (df=2, p=0.79), and the ratio of chi-square to degrees of freedom was 0.24, a CFI of 0.99 and RMSEA of 0.00. In particular, gender, a history of falling, and exercise were significant predictors of fear of falling. Conclusions/Implications: As anticipated, exercise is an important factor to prevent fear of falling. As a modifiable variable, self-efficacy and outcome expectation indirectly influence fear of falling through exercise.
Objectives : The aim of this study was to analyze the relationship between depressive symptoms and sociodemographic factors associated with geriatric depression and insomnia and to examine the effects of these factors on depression. Methods : The severities of insomnia and depression in elderly aged 60 and older lived in Gwangmyeong city were evaluated and the related sociodemographic factors were investigated. From April 20, 2016 to December 1, 2016, Gwangmyeong city Mental Health Sevices consignment by department of psychiatry of a university-affiliated general hospital conducted surveys and interviews for total 837 elderly peoples lived in Gwangmyeong city by visiting welfare center and wards located in the city. Structured interviews were conducted using Insomnia Severity Index(ISI) and Short form-Geriatric Depression Scale(S-GDS) to examine the relationship between sociodemographic factors and the severities of insomnia and depression. Results : There were significant differences in S-GDS mean scores and age(below 70 years old, 70s, 80s, above 90 years old), type of health care(health insurance, medical aid), type of residency(own, not own) and marital status(single, married, divorced or widowed).There was a significant difference in education level, especially between not educated(and/or) elementary graduates and college graduate(F=3.227, p=0.012). Also, there were significant differences in age, type of health care, type of residency, number of household on divided S-GDS score above and below 10 scores(p<0.05). Insomnia measured by ISI was not significantly associated with sociodemographic factors(p>0.05), but was significantly associated with depressive symptoms(p<0.05). These findings suggest more severe insomnia symptom indicated the higher probability of depression and elderly with depressive symptoms had more severe insomnia. Conclusions : Geriatric depression has significant relationships with age, type of health care, type of residency, marital status, education and number of households. In addition, insomnia which is main symptom of depression in elderly, has important role in predicting the severity and diagnosis of depression.
This study addresses a number of issues related to suicide among older persons in Korea. The study investigates various aspects of elderly's suicide ideation, and how this quality of life and self-esteem impacts on their suicide ideation through depression. For the purpose of the study, the survey was conducted and 8,135 elderly 65 years old and over who reside in Gyeonggi-do participated. The result of the study indicated that quality of life, self-esteem and depression of the elderly showed statistically significant suicide ideation of the elderly. Participants were divided into two groups according to their physical health status. That is, to find out how quality of life and self-esteem of the elderly impact on the suicide ideation directly and indirectly through depression among elderly people with physical disease and no disease. The results showed that depression of the elderly people with physical disease was the most highly significant factors in explaining the elderly's suicidal ideation directly a comparison of elderly people with no physical disease. Therefore, depression is a major mental health problem associated with suicide. Finally, these findings of the study can improve the elderly people's quality of life and reduce suicide ideation.
Journal of the Korea Academia-Industrial cooperation Society
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v.19
no.1
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pp.435-445
/
2018
This study was conducted to develop and apply the health conversation program to determine its effectiveness. The study employed a pretest-posttest nonequivalent control group design. There were 25 subjects in one intervention group and 22 subjects in the control group. The program included a 4-week, 12-session education program in health conversation for professionally retired elderly mentors and an 8-week, 24-session program for vulnerable elderly diabetics provided by mentors who were older persons trained in diabetes management. Data were collected from December 2015 to May 2016 and subsequently analyzed by an independent t-test using SPSS 20.0. Biochemical variables and physical variables were assessed by blood test and Inbody 230 (Biospace). Psychosocial variables were assessed by questionnaires. The health conservation program led to significantly decreased FBS (p<0.01), TC (p<0.01), TG (p=0.04), SBP (p=0.03), waist (p<0.01) and symptoms of depression (p=0.01), and significantly increased social support (p=0.02). These results indicated that the health conservation program is effective at increasing social support and decreasing FBS, TC, TG, SBP, waist, and symptoms of depression in community-dwelling vulnerable diabetic elderly; accordingly, health conservation programs should be applied to improve quality of life of vulnerable diabetic elderly.
Background: This study assessed the mental health, in order to determine the effect of the subject's spiritual well-being on anxiety depression and quality of life in active old people, and to verify whether or not spiritual well-being is a new factor for comprehensive health in old people. Materials and Methods: This study selected 184 old people aged over 65 years. The subject's spiritual well-being was assessed by the Korean Spiritual Well-Being Scale (SWS) that was composed of the Religious Well-being Scale (RWS) and Existential Well-being Scale (EWS). The quality of life was assessed using Quality of Life Scale, which was composed of the subjective feeling about life and the subject's satisfaction of their whole life. Results: Among the psychosocial factors, the educational level and physical health, showed significant discriminative score in the SWS. A prior medical history was associated with a significantly low SWS score. Satisfaction with life was associated with a significantly high SWS score. These factors a showed significant discriminative EWS score rather than a RWS. Among the religion factors, the satisfaction with their religion showed significant difference in the SWS. The SWS score especially the EWS affected the anxiety and depression of the Korean Combined Anxiety and Depression Scale (CADS). The subjective feeling of life score was associated with a significantly EWS low score and the subject's satisfaction with their whole life score was associated with a significantly high EWS score. Conclusion: Spiritual well being has significantly effects on anxiety depression and the quality of life in active old age people, and the subject;s spiritual well-being might be a new factor for assessing health in old age.
Objectives : Loneliness is associated with negative mental and physical health. However, little is known about the risk factors of loneliness in the Korean elderly living alone. The aim of this study was to examine sociodemographic and social network related risks for loneliness among the elderly living alone. Methods : This is a cross-sectional study that enrolled 1,091 subjects who are the community-residing elderly living alone. Sociodemographic status, medical condition, cognition, mood disorder and levels of loneliness were collected using a self-administered questionnaire and a specific semi-structured interview conducted by a trained nurse. Descriptive statistics were used to analyze data regarding sociodemographic variable and loneliness. Univariate and Multivariate regression analyses were applied to examine factors associated with loneliness. Results : The mean score of loneliness was 3.8 (SD=1.7). No family contact (standardized β=0.115, p<0.001), no religious attendance (standardized β=0.057, p=0.028), no gathering with friends (standardized β=0.088, p=0.001) and high score of Short for of Geriatric Depression Scale (standardized β=0.502, p<0.001) were significantly associated with high loneliness in the elderly living alone. Conclusions : Family function, social network and depressive mood could be significant risk factors for high loneliness in the elderly living alone. Public health promotion efforts to reduce loneliness should focus on improving family function, social network and decreasing depression.
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