Purpose: This study aimed to analyze the relationships between the factors affecting health levels of the elderly in rural areas. Methods: Subjects were 257 elderly people residing in rural areas of six cities and Gangwon Province. Data was collected through questionnaires (demographic and socioeconomic status, social resources, health behaviors, physical environment, psychological tendency and general health levels) and was analyzed by using multiple regression and Sobel test. Results: The demographic and socioeconomic characteristics of the subjects exerted statistically significant influence on their social resources, health behaviors, physical environment, and psychological tendencies. The demographic and socioeconomic characteristics, social resources, health behaviors, physical environment, and psychological tendencies, in turn, exerted a statistically significant influence on the health level. The social resources had mediating effects on the relationship between income, one of the demographic and socioeconomic characteristics, and health level. The residential environments had mediating effects on the relationship between income and health level. The psychological tendency had mediating effects on the relationship between income and health level. Conclusion: This study suggests that income is an important factor affecting health level among rural elderly people. In addition, social resources, health behaviors, physical environment, and psychological tendencies among them also affect health level, so it is necessary to make strategies to improve these factors.
Objectives: This study analyzed the associations of hypertension (HTN) with symptoms and diagnosis of depression by income level among Korean adults. Methods: This study was based on the 2010-2017 Korea National Health and Nutrition Examination Survey data; a total of 29 425 adults (aged 20 years or older) were analyzed. HTN was defined as a systolic blood pressure ≥140 mmHg, diastolic blood pressure ≥90 mmHg, or use of hypertensive medications. Depression symptoms were evaluated based on a questionnaire about depression-related symptoms. A depression diagnosis was defined based on questionnaire responses indicating that a participant had been diagnosed with depression. Household income was divided into higher or lower income ranges based on the median income of the participants. Multiple logistic regression analyses were performed to assess the associations between HTN and depression symptoms/diagnosis in the higher-income and lower-income groups. Results: In the higher-income group, the odds ratio (OR) for the association between HTN and depression symptoms was 1.15 (95% confidence interval [CI], 0.97 to 1.37), and the OR for the association between HTN and depression diagnosis was 1.41 (95% CI, 1.13 to 1.76). In the lower-income group, the OR for the association between HTN and depression symptoms was 1.18 (95% CI, 1.04 to 1.34), whereas the OR for the association between HTN and depression diagnosis was 0.82 (95% CI, 0.70 to 0.97). Conclusions: The associations of HTN with symptoms and diagnosis of depression differed by income level.
This study investigated the health and nutritional characteristics according to household income level and obesity in Koreans aged over 50 years based on the 2005 National Health and Nutrition Examination Survey. Subjects were classified into 3 groups by average household income with reference to the minimum monthly living expenses (MLE): low (n = 319, < 100% MLE), middle (n = 222, < 200% MLE), high (n = 411, ${\geq}$ 200% MLE) and each group was compared by BMI index. With increasing income level, the prevalence of systolic hypertension and hyperlipidemia was increased. In the low income group, serum total cholesterol, triglycerides, and fasting glucose were higher in the obese compared with the normal. In the middle and high income groups, the prevalence of hyperlipidemia and diastolic hypertension were higher in the obese. Subjects had nutritional imbalance, such as inadequate intake of calcium and potassium. With increasing income level, the percentages of protein and fat to total calorie were increased in addition to the intakes and density of nutrients. The obese in the low income group had higher intakes of energy, protein, phosphorus and higher consumption frequency of cereals and potatoes compared with the normal. It was shown that the obese of the middle and high income groups tended to have lower consumption frequency of Korean cabbage and higher frequency of fruits. The obese of high income group also had binge drinking habit. Therefore, this study suggests that specific approaches based on economic status should be considered in developing nutrition education program for the elderly.
Journal of Wellbeing Management and Applied Psychology
/
v.6
no.4
/
pp.1-10
/
2023
Purpose: As an important provision to protect the rights and interests of low-income groups, it is worth studying whether the minimum wage policy can improve the quality of life for people. Research design, data and methodology: Using data from the 2015 and 2017 China General Social Survey (CGSS), this paper employs the logit model to estimate the probability of an individual's annual income being higher than the per capita disposable income of their province. It also utilizes the DID model to analyze the impact of minimum wage increases on individuals' annual incomes. Results: The analysis reveals that an overall increase in the minimum wage raises the probability of an individual's annual income exceeding the per capita disposable income by 3%. Among them, the probability increased by 2.2% for males and by 3.2% for females. Furthermore, the impact of the minimum wage on annual income varies depending on the individual's income level. Notably, the most positive and significant impact is observed for individuals whose income level is close to the minimum wage standard. Conclusions: This provides evidence that the increase in the minimum wage has effectively improved the quality of life for the population.
Journal of the Korea Academia-Industrial cooperation Society
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v.15
no.10
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pp.6223-6233
/
2014
The aim of this study was to help disease management and prevention by analyzing the effects of income and education levels on the health of cardio-cerebrovascular patients. Using the raw data of 2010-2011 Korea Health & Nutrition Examination Survey, the correlations of health behaviors, general (socio-demographic) characteristics, body measurements, and blood test results of 3,687 cardio-cerebrovascular patients aged 30 or older were analyzed based on their income and education levels. The results suggested that lower income and education levels were correlated with a high prevalence of cardio-cerebrovascular diseases. In addition, the OR values (95% CI) of current smoking were 0.71 (0.52-0.96) for patients with a high-income and 0.41 (0.29-0.58) for those with a high level of education, showing a strong correlation between lower levels of income and education and current smoking, which is related to health deterioration. In terms of one-month drinking and high risk drinking, the OR values (95% CI) of the patients with a high income were 1.55(1.22-1.95) and 1.42(1.11-1.82), respectively. Drinking was more prevalent among high-income patients but had no correlation with the education level. The practice of walking had no significant correlation with both income and education levels. Therefore, it is imperative to emphasize the importance of temperance to high-income patients, and the importance of quitting smoking to low-income patients, as well as to provide institutional support.
The purpose of this study was to estimate the minimum monthly food cost for the low income population. The food consumption data of 9,311 individuals from the 2001 Korean National Health and Nutrition Survey was used. The monthly food cost was calculated using the Consumer Food Price Database for the year 2001 provided by the Public Health Nutrition Laboratory, Seoul National University. The low income population (n = 1,310) was characterized as older age, lower income, smaller family size, lower education level, and lower energy intake as compared with the total population (n = 8,001). The estimated food cost showed that men in the low income population needed 15% more money for purchasing food to maintain the energy intake level at the average energy intake level of men in the total population. It was also estimated that women in the low income population needed 9% more money for purchasing food to maintain the energy intake level at the average energy intake level of women in the total population. There were differences in monthly food costs depending on the sex and age, and family size. The results of this study could be used as basic information to establish minimum food cost for the low income population in Korea.
Purpose: This study was conducted to compare self-rated health, health status, and health promotion behaviors between non-low income and low income elderly women in the urban setting. Method: The subjects of this study consisted of 668 Korean elderly women over 65years. The data was analyzed by the SAS(ver.8.02) computer program, and it included descriptive statistics, ${\chi}^2-test$, analysis of covariance, pearson correlation coefficient and multivariate logistic regression. Results: 1) The non-low income elderly women had significantly higher scores(self-rated health, health status, and health promotion behavior) than the low income elderly women. 2) In low income elderly women, age, number of children were the main effect factors of health status, and level of education, burden of medical expense were the main effect factors of health promotion behaviors. In non-low income elderly women, number of children was the main effect factors of health status, and level of education, level of pocket money were the main effect factors of health promotion behaviors. Conclusion: This study showed that the establishment of a health care system for elderly according to their social-economic level is very important for providing productive care apposite to the situation of elderly.
The purposes of this study were to identify the overall levels of consumer problem, consumer competencies and purchase pattern of urban low-income consumers and to examine the factors affecting the consumer problem and the subareas-market environment problem(MEP) and transaction relation problem(TRP). The related factors, that is, independent variables were competencies-related factors(consumption-oriented attitude, attitude on consumerism, consumer knowledge), purchase pattern-related factors (search pattern, credit pattern, peddler pattern) and socio-demorgraphic factors(age, educational level, family size). For this purpose, a survey was conducted by interview using questionaires on 198 homemakers that lived in the poor areas of Seoul. Statistics used for data analysis were Frequency Distribution, Percentile, Mean, Pearson's Correlation, One-way ANOVA, Scheffe-test, Breakdown and Multiple Classification Analysis. Major findings were as follows: 1) In the level of consum r problem were in the middle level and the level of MEP were higher than that of TRP. The attitude on consumption-orientation was so negative, while attitude on consumerism was positive. The level of consumer knowledge was in the middle level. The urban low-income consumers searched a little and depended on credit and peddler in the low level. 2) Consumer problem perceived by urban low-income consumers differed significantly according to attitude on consumerism, credit pattern, monthly charge of peddler purchase. The MEP depended on attitude on consumerism and monthly charge of peddler purchase, and the TRP was affected by credit pattern and attitude on consumerism. Resulting from MCA, the most influencial variable was attitude on consumerism and credit pattern in the consumer problem, and attitude on consumerism in the MEP, and credit pattenr in the TRP.
The purpose of this study was to investigate causal relations of resources and demands, family financial management and subjective financial wee-being among urban households by applying a system's approach. The data were collected through the questionnaire whose respondent were 455 housewives in Seoul. The data were analyzed by various statistical methods such as Frequency. Percentile, ANOVA , F-test, T-test, Pearson's correlation analysis, Multiple Regression Analysis. Path Analysis. The results of this research were as follows. 1) The level of subjective financial wee-being among urban households exceeded the middle level. It had significant differences according to resource variables such as age of housewife. education level of housewife, housewife's occupation, househead's occupation. per capita income, debt/net asset ratio, and according to demand variables such as aspiration, expectancy, perception of financial progress, relative deprivation. 2) The level of subjective financial well-being among urban households according to level of family financial management capability has significant differences. Therefore, the higher family financial management capability, the higher level of subjective financial well-being. 3) Among all variables affecting the subjective financial well-being among urban households. aspiration had the highest relative influence on the subjective financial well-being and per capita income, occupation of househead and family financial management variables were in this order. 4) Among all variables affecting the subjective financial well-being among urban households aspiration, occupation of househead, per capita income and finacial management variables had direct effect on subjective financial well-being . Besides housewife's education level, aspiration and per capita income had indirect effect on it through family financial management.
This study aimed to examine the effect of the income change and income level during the COVID-19 pandemic on individuals' depression, and to test how those associations may differ by gender. Participants consisted of 634 adults(Mage=44.18, SDage=13.88, 313 females) recruited through an online research company. Participants completed a set of questionnaires that measured income change, average monthly income for the past six months, and the Korean version of CES-D. The results indicated that decreases in income, but not levels of income, significantly predicted levels of depression. Furthermore, both income change and income level interacted with gender to predict depression. Specifically, income change predicted depression only for males, while income level predicted depression only for females. These findings suggest that the effects of income-related indicators on depression during the pandemic may differ by gender. The study also offers practical implications by proposing gender as a potential factor to consider in early identification and intervention to prevent depression during the pandemic.
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