• Health Policy and Management
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• v.15 no.2
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• pp.70-83
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• 2005

The purpose of this paper is to examine the relationship between socio-economic factors and self-rated health among older people living in the community. In addition, the study tries to determine whether risk differentials by these socio-economic factors can be explained by other demographic factors, chronic diseases, and functional status. We surveyed to investigate the self-rated health of 397 study samples which had been selected by stratified randomized sampling, $2.7\%$ by each Dong (district) of S-city in Gyeonggi-do. Our study found that the socioeconomic factors such as income, occupation, and insurance were significantly associated with self-rated health. The level of social economic status was positively associated with the level of self-rated health. Two-staged multivariate analysis demonstrated that this relationship was still significant even after adjustment for demographic factors, chronic diseases, and functional status. In conclusion, there are wide socio-economic disparities in self-rated health of older people in this community. It is important that government should know not only health status but also the health-associated factors in order to prepare for the aged society and improve the health status of the elderly. Further researches should uncover causality and mechanism by which SES affects changes in functional health among the elderly.

• Journal of Nutrition and Health
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• v.37 no.3
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• pp.223-235
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• 2004

A functional ability and adequate nutritional status are the major determinants of health status, Self-rated health (SRH) is a worldwide method to assess health status and it is recognized as a predictor of morbidity and mortality in the elderly, This study was designed to evaluate the functional ability and nutritional risk according to SRH in the elderly. Four hundred nine free-living elderly people (118 male, 291 female), aged $\geq$ 65 years were interviewed by trained interviewers using structured questionnaires including demographic information, SRH, anthropometric measurements, functional ability, general health status, and nutritional risk. SRH was divided into three status such as “Good”, “Moderate” and “Poor” status. And all the data were analyzed by oneway ANOVA, spearman correlation, and x$^2$ analysis using SPSS 9.0 version at p 〈 0.05. Of all the subjects, 48.9％ perceived their health status as “poor”, and their functional abilities (activities of daily living, instrumental activities of daily living) were more impaired than their counterparts (“good” and “moderate”). Poor self-rated health was also related to: a higher prevalence of illnesses (p 〈 0,001) especially in hypertension, arthritis. Self-rated health was significantly related to food security (p 〈 0.001), food enjoyment (p 〈 0.001) ,and nutritional knowledge (p = 0.0 13). Also NSI checklist total score was the highest in “poor” health status (p 〈 0.001). Better self-rated health was related to better food security, and better food enjoyment. However, smoking, alcoholic intake, exercise, eating behaviors, and demographic characteristics were not significantly different among the three SRH status. SRH was closely related to chronic diseases, functional ability, and nutritional risk in the elderly. Therefore, public health strategies for the elderly should be focused on the elderly who are “poor” in SRH, to improve nutritional status and functional ability, and to reduce risk factors of chronic diseases.

• Health Policy and Management
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• v.33 no.2
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• pp.118-128
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• 2023

Background: Personal socio-economic abilities are crucial as it affects health inequalities. These multidimensional inequalities across the regions have been structured and fixed. This study aimed to analyze health vulnerabilities by regional cluster and identify regional health disparities of self-rated health, using nationally representative cross-sectional data. Methods: This study used personal and regional data. Data from the Community Health Survey 2021 were analyzed. K-means cluster analysis was applied to 250 si-gun-gu using administrative regional data. The clusters were based on three areas: physical environment, health-related behaviors and biological factors, and the psychosocial environment through the conceptual framework for action on the social determinants of health. And binary logistic regression analyses were conducted to examine the differences in self-rated health status by the regional clusters, controlling human biology, environment, lifestyle, and healthcare organization factors. Results: The most vulnerable group was group 3, the moderate vulnerable group was group 1, and the least vulnerable group was group 2. The group 2 was more likely to have high self-rated health status than the moderate vulnerable group (odds ratio [OR], 1.023; p<0.001). And the group 3 showed low self-rated health status than the moderate vulnerable group (OR, 0.775; p<0.001). However, the moderate vulnerable group had significantly higher self-rated health status than the most vulnerable group (group 2: OR, 1.023; p<0.001; group 3: OR, 0.775; p<0.001). Conclusion: These results demonstrate that community members' health status is influenced by regional determinants of health and individual levels. And these contribute to understanding the importance of specific and differentiated interventions like locally tailored support programs considering both individual and regional health determinants.

• Journal of Preventive Medicine and Public Health
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• v.36 no.1
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• pp.54-62
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• 2003

Objectives : To assess the distribution of social support, and explore its effects on self-rated health status in a low income neighborhood of Seoul, Korea. Methods : In September 2001 we conducted a survey in a low income neighborhood of Seoul, Korea, in which 862 residents, aged 18 years or over, participated. We measured the general sociodemographic characteristics, self-rated health status and social support with the instrument developed from Korean translation of the Medical Outcomes Study Social Support survey (MOS-SSS) scale of the US. Logistic regression was used to identify the determinants of social support, and explore its effects on self-rated health status. Results : Lower social class, women or divorced people had much less social support compared to higher social class, men or those never married, respectively. Those families on much lower income also received less social support. Social support has a positive impact on the self-rated health status, which remains statistically significant even when other relevant variables are adjusted. Conclusions : This study suggests that social support has an important role in health, and the socially disadvantaged have lower social support. Therefore, to improve the health status of the poor, it is necessary to encourage community participation, and develop strategies that could strengthen their provision of social support.

• Journal of Convergence for Information Technology
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• v.10 no.1
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• pp.109-119
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• 2020

The purpose of this study is to determine the variables that directly affect self-rated health and life satisfaction, and to examine the mediating effect of self-rated health on life satisfaction. The study utilized multiple regression to analyze the data obtained from interviewing 169 older adults aged 60 and over in G-gun in 2015. The results are as follows. First, the number of diseases had a negative effect on self-related health, whereas self-rated economic status and length of exercise time had a positive effect. Second, self-rated economic status, length of exercise time, regular meals, and the number of meals per day positively affect life satisfaction. Third, self-rated economic status and the length of exercise time affect life satisfaction by partially mediating self-rated health, whereas the number of diseases affected life satisfaction by totally mediating self-rated health. Based on the results, policies related to healthcare and provision of meals for older adults have been suggested.

• Journal of Nutrition and Health
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• v.39 no.3
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• pp.286-298
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• 2006

The study aimed to identify major factors related to global self-rated health of the community-dwelling elderly people in rural areas. Interviews were conducted with 433 persons over 65 years of age. The socio-economic characteristics, chronic disease status, measures of functional and mental health, life satisfaction, health-related behaviors including smoking, drinking, exercise, social activity, dietary habit, and food intakes were analyzed to determine their influence on self-rated health index. Data on food intake were obtained through the 24-hour recall method. The self-rated health of rural elderly was poor or very poor as reported by 42.6% and 52.4% of the men and women, respectively. Poor self-rated health was found to be related to elderly aged $65{\sim}74$, female, absence of work, more chronic diseases, dependence on Instrumental Activity Daily Living (IADL), higher mental unhealthy days, lower current life satisfaction, less social activity, lower dietary habit scores, lower intake of total food, fruit, eggs, fishes & shell fishes, vitamin C (%RDA), and Nutrient Adequacy Ratio (NAR). The results of the multiple regression analysis showed that poor self-rated health index is significantly associated with more chronic diseases, mental unhealthy days, gastrointestinal disease, musculoskeletal disease, less social activity, and lower intake of fruits. The results also suggested that improving the nutritional status and functional ability, and reducing the burden of chronic diseases are beneficial to the self-rated health index of the elderly.

• Korean Journal of Occupational Health Nursing
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• v.12 no.2
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• pp.171-176
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• 2003

Purpose: To investigate difference in health status by social classes in Korea through second analysis the 1999 Social Statistic Survey raw data performed by National Statistic Office. Method: 52,100 subjects were 20-64 years old and students were excluded. Health status was measured self-rated health and disease prevalence past 2 weeks. Social classes were classified 5 categories by occupations and working status and 1 category by unemployment. Result: Unemployed people reported the worst self-rated health on average, the lower social classes, the worse self-rated health and higher disease prevalence. Health inequality still existed between social classes after adjusting sex, age, and education level. Conclusion: A certain strategy for improving unemployed people's health and people who are working in craft, simple manual labor, agriculture, fishery, and forestry.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.569-581
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• 2016

The purpose of this study was to determine factors affecting self-rated health status among the elderly in urban areas. The study subjects were 390 persons aged 65 years and older who had lived more than 5 years in D city. Interviews from the questionnaire were conducted from June through August 2016. The distribution of self-rated health status was rated in terms of dependent variables, with odds ratios and their 95% confidence intervals calculated using unconditional logistic models. As a result, 67.2% of the study subjects answered that they were healthy, whereas 32.8% were unhealthy. In the logistic regression analysis, disability and lowered IADL greatly lowered self-rated health status. The group without an occupation, living expenses from governmental subsidies, frequency of relative contents is seldom, anxiety is high, subjective sleep quality is low, satisfaction of daily life is low, had low levels of self-rated health status. Above results suggest that the self-rated health status of the elderly in urban areas is closely related to sociodemographic characteristics, physical health status, social activity participation, and psychosocial factors.

• The Journal of Korean Academic Society of Nursing Education
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• v.20 no.3
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• pp.435-442
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• 2014

Purpose: The purpose of this study was to investigate influencing factors in self-efficacy among college students. Methods: The sample consisted of 553 college students in C & K cities. Self-report questionnaires were used to measure the variables. In data analysis, SPSS WIN 20.0 program was utilized for descriptive statistics, Pearson's correlation coefficients, and regression analysis. Results: The mean score for Self-Efficacy was 66.62. Self-Efficacy was significantly different according to gender(t=2.076, p=.038), grade(F=11.077, p<.001), religion(F=4.666, p=.003), major(F=19.598, p<.001), economic status(F=6.570, p<.001), perceived health status(F=6.168, p<.001), and self-rated knowledge about health(F=12.936, p<.001). Multivariate analysis showed that major, self-rated knowledge about health, economic status, and perceived health status were significant predictors of self-efficacy and could explain 15.9% of total variability in this model. Conclusion: This study suggests that perceived health status and self-rated knowledge about health are significant factors in self-efficacy among college students. Therefore, the strategies of nursing intervention which improve these variables must be developed for college students.

• 한국노년학
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• v.37 no.3
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• pp.783-801
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• 2017

The purpose of this study is to examined the relationship between social support, self-rated health status and life satisfaction among elderlies with chronic disease. For this study, 228 respondents suffered from chronic diseases and 75 healthy elderlies aged over 65 were analyzed. For the data analysis, a structural equation analysis and multi-group analysis were performed. As a result, higher levels of social support for elderlies with chronic diseases showed a higher level of life satisfaction, and the self-rated health status was found to be a significant mediator. The social support of the elderlies with chronic diseases significantly impacted their self-rated health status differently on healthy elderlies. To improve the self-rated health status and life satisfaction of elderlies with chronic disease, social services should be offered with social support providers. This study is meaningful in suggesting selective implications for elderlies with chronic disease.