• Journal of the Korean Society of Food Culture
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• v.36 no.1
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• pp.92-102
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• 2021

There is little information on the nutrient intake according to the city size and small town in Korean elderly. This study analyzed the nutritional consumption of older people in metropolitan, middle and small cities, and rural areas according to four income levels. The recent data from the 2016~2018 Korean National Health and Nutrition Survey, Centers for Disease Control and Prevention were used. The final analysis included 4,325 individuals (Male: 1,856, Female: 2,469) over 65 years old. Multivariable regression with a complex sample design was conducted to compare the nutrient intake among the groups. In a comparison within regions, the nutrition status of the elderly in small towns was more vulnerable than metropolitan and middle & small cities. The energy intakes were similar between the groups. The carbohydrate intake of middle & small cities was significantly higher than the other regions. The intake of other nutrients in metropolitan and middle & small cities appeared to be higher than in rural areas. The number of nutrients with statistical significance between low and high-income levels were 19 in metropolitan, 11 in middle & small cities, and 5 in rural areas. Each contribution of carbohydrate, fat, and protein to the total energy intake was lower in the low-income level than the high-income level in metropolitan and middle & small cities. On the other hand, in rural areas, only the contribution of protein to energy intake was lower in the low-income level than the high-income level. Cities with higher levels of urbanization had more severe nutritional inequality in relation to the income level. There was also nutritional inequality present in rural areas but it was to a lesser extent. Moreover, the generally low level of nutrient intake was problematic in rural areas. These findings could be used as fundamental evidence for developing community nutritional policies for the elderly.

• Nutrition Research and Practice
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• v.9 no.5
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• pp.547-553
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• 2015

BACKGROUNDS/OBJECTIVES: The effects of malnutrition on growth of toddlers and preschoolers by socioeconomic status are not well known. This study aimed to examine the effects of dietary intake on growth outcomes in toddlers and preschoolers by household income level. SUBJECTS/METHODS: The study population was a total of 1,687 children aged 1 to 5 years that participated in the KNHANES from 2009 to 2011. Growth of children was assessed by height for age (HFA) and weight for height (WFH). Children were classified into three groups according to children's HFA and WFH compared to the $10^{th}$ and $90^{th}$ percentiles of the 2007 Korean Children and Adolescent Growth Standard. Average monthly household income was divided into quartile groups. Dietary intake data were obtained by using the one day 24-hr recall method. Risks of inadequate intake of nutrients and unfavorable growth were estimated by using a multiple logistic regression model adjusted for sex, age, region, and energy intake. RESULTS: The low HFA group (<$10^{th}$ percentile) had significantly lower intakes of energy, carbohydrate, and thiamin as compared with the high group (${\geq}90^{th}$ percentile). For WFH status, vitamin C intake was lower in the low group than in the high group. Household income level was related to WFH status but not HFA. Children from lower income households were more likely to have high WFH than those from higher income households (P for trend = 0.038). Household income status was also significantly related with risk of inadequate intake of micronutrients such as thiamin (P for trend = 0.032) and vitamin C (P for trend = 0.002), showing higher odds of inadequate intakes in children from lower income households. CONCLUSIONS: Children from lower income households were prone to be overweight and to have inadequate intakes of micronutrients such as thiamin and vitamin C. To reduce nutritional and health disparities, collective action in the public sector is required from early life.

• Journal of Families and Better Life
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• v.4 no.2
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• pp.53-66
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• 1986

The prensent study was aimed to explore the reality of the low-income consumers problem by the comparison among five income classes. Specifically, this study was intended to (1) compare the levels of consumer skill, market risk, and consumer problem among the five income classes, (2) examine the relationship between consumer problem and consumer skill, and the relationship between consumer problem and market risk, and (3) search the types of consumer problems that each income class consumers might experience the most often. For this purpose, a survey was conducted using questionaire on 525 home managers in Seoul. The deta were analyzed by ANOVA and DMR test. The major findings were as follows; First, the consumer skill was the poorest in the low-income consumers. There was curvilinear relationship between consumer skill and income level. Second, the market risk was the highest in the low-income consumers. Market risk had a negative linear relationship with income level. Third, consumer problem was the most serious in the low-income consumers and was the least serious in the middle-income consumers. Fourth, the lower consumer skill and the higher market risk the consumers had, the more consumer problems they tended to experience. Finally, the low-income consumers had relatively more difficulties in door-to-door sale and inferior goods problem than the middle and the high-income consumers. On the other hand, the latter experienced relatively more difficulties in false and misleading advertising, overcharge, unfair bargain, and warrenty-repair-exchange problem than the former. Taken together, the research hypotheses were well supported in this study. It was suggested that the quality and the quantity of the low-income consumers problem were different from those of the middle-and the high-income consumers problem.

• Journal of the Korean Home Economics Association
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• v.37 no.4
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• pp.71-84
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• 1999

The purpose of this study is to examine the relationships among selected socioeconomic variables(age, household income, education duration; perceived income adequacy, gap between living standards and level), financial management and financial satisfaction. The sample size is 298 interviewee, and the unit of analysis is household in Seoul. Results of the study indicate that perceived income adequacy is significantly related to financial management. And perceived income adequacy, household income, gap between living standards and level, and age are significantly related to financial satisfaction. Although perceived income has an indirect effect on financial through financial management, but indirect effect is too small, financial management is not examined as intervening variable.

• Journal of Wellbeing Management and Applied Psychology
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• v.3 no.1
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• pp.21-31
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• 2020

As people's income rises dramatically, people's happiness seems not as high as expected. In fact, there are two different arguments about the relationship between income level and happiness. The focus of the debate is whether the correlation between income and probability of happiness is positive or negative. Therefore, we hypothesizes that the relationship between income and probability of happiness presents an inverted U-shaped curve. Then, this paper sets China as an example to explore the effect of income on happiness. The data from the Chinese General Social Survey (CGSS) in 2015 is employed to conduct empirical analyses under the Probit model and the Zero-Inflation-Passion model. The empirical findings indicate that the effect of income on happiness presents an inverted U-shaped curve and significantly in statistic. Meanwhile, spouse's income, educational level, marriage time and house property have a positive and significant effect on happiness. Conversely, age and local living standards have a negative and significant effect on happiness. Unfortunately, even though registered residence and children have a negative effect on happiness, they do not get through the significant test. In order to ensure the robustness of our empirical results, we test the robustness of the above empirical results by adjusting the sample size. The results of robustness test verify that our empirical results are robust. Moreover, this paper also makes a small contribution to the current literature with a sample from China.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.19-29
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• 2021

This study aims to measure financial inclusion and examine its impact on income inequality in a panel of 18 Asian countries over the period 1997-2017. Two alternative approaches for developing financial inclusion index are used: one approach following the methodology of Sarma (2008), while the other is the Dynamic Factor Model (DFM)-based index. The impact of individual indicators and index of financial inclusion on inequality in income is analyzed. The Generalized Method of Moment (GMM) approach is used for empirical analysis. The results indicate that micro-level financial inclusion has a weak negative and statistically significant impact on income inequality. Macro-level index and all individual indicators of financial inclusion do not affect income inequality in the selected sample of economies. The income inequality issues have different natures and cannot be fixed by financial inclusion only. It needs holistic structural reforms to enable fair distribution of income and make an equitable financial system. Financial inclusion is a relatively less important intervention tool regarding fixing the issue of income inequality. This is one of the first studies that used the DFM method for financial inclusion indices construction.

• 한국노년학
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• v.39 no.1
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• pp.169-188
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• 2019

In this study, the author utilizes longitudinal data of the recent 12 years to verify whether the absolute versus relative income of old age has a significant effect on their life satisfaction of life. The findings of this study show that there is a significant difference in life satisfaction of old age according to respondents' relative income of three reference groups based on their asset quintile and residental area and education. In the correlation analysis using the cross-sectional data, the absolute and relative income level was closely related to the life satisfaction. In the panel regression analysis using the 12 years longitudinal data from the Korea National Labour Panel dataset, the income level of counterparts in those reference groups appeared highly significant in determining the level of life satisfaction of the elderly. However, some demographic variables such as age and marital status did not have a statistically significant effect in the long-term perspective. The income of reference groups in terms of asset levels, education and region as well as their own past life satisfaction level had a significant effect on the elders' life satisfaction determination. These results suggest that the relative income hypothesis in terms of life satisfaction among the elderly is more valid than the previous absolute income hypothesis.

• Korean Journal of Health Education and Promotion
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• v.31 no.1
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• pp.27-43
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• 2014

Objectives: The purpose of this study was to evaluate depression of mothers with children in early childhood and to identify predictors by income level. Methods: The research was conducted with 1,761 data from the 3rd wave of the Panel Study of Korean Children(PSKC) data. Independent variables were socio-demographic data, self-esteem, normative life-events, non-normative life events, parenting stress, marital conflict, social support. Data were analyzed by t-test, ANOVA, hierarchical multiple regression analysis were conducted. Results: Significant factors of depression of female in low-income were non-normative life events, parenting stress, marital conflict. In middle class, significant factors were education, birth order of children, self-esteem, normative and non-normative life events, parenting stress, marital conflict, sociable support. At last, we found that marital conflict was the biggest factor for depression of female in low-income and parenting stress was the most powerful predictor in middle class. Conclusions: Mother's depression has a enormous impacts on development of children in early childhood. Therefore It is required to prevent depression in mothers and it is important to intervene at the early stage of depression. Results of this study showed a different pattern of predictors by income level. Therefore, Intervention and services for a mother's depression should change the direction depending on the level of income.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.479-491
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• 2018

This study aims to figure out factors influencing health and moderating effect of social support resource between those factors and health of low income women in diverse spheres. The data of low income women were 239 cases and were utilized SPSS ver. 21 program. The main results of this study are as follows: firstly, health of low income women is identified medium level. Secondly, education level, self-efficacy and social support resource are related to the self-rated health of low income women. Especially, social support resource functions as moderators on between education and self-rated level of the health of low income women. Consequently, the findings suggest the need to expand the social intervention range to promote health of low income women from cost benefit to psychological support such as capacity building for self-management and establishment of safety-net to extend social support. And subsequently, the time attribute of the factors related to low-income women's health and the diverse characteristics of the subjects should be considered.

• Journal of Korean society of Dental Hygiene
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• v.23 no.2
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• pp.125-132
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• 2023

Objectives: This study used the 2018 Korea Health Panel Survey data to analyze factors affecting employment status and income relating to unmet dental and medical care needs. Additionally it investigated measures to reduce oral health inequality among various socioeconomic classes. Methods: Descriptive statistics for the subjects' unmet dental and medical care needs were calculated through chi-square test analysis, and multivariate logistic regression analysis was applied to identify factors affecting the unmet dental and medical care needs. The odds ratio and 95% confidence interval were calculated for each level. These data were analyzed using STATA 17.0 SE (64-bit) version, and the statistical significance level was set to p<0.05. Results: As a result of unmet dental and medical care needs according to general characteristics, the lower the education level (p<0.001), the higher the age (p<0.001) and the lower the household equalization income (p<0.024) and the smoker status (p<0.003) were, respectively. Factors that have a statistically significant impact on unmet dental and medical care needs were divorce, separation and bereavement (p<0.001) in individuals than in married persons, and being smokers than non-smokers (p<0.009). The frequency of unmet dental and medical care needs were found to be lower in the cases of a high school graduate than an elementary school graduate (p<0.018), and of higher household equalization income (p<0.001) than the lowest household equalization income, respectively. Conclusions: It was found that various factors such as age, education level, household equalization income, employment status, type of working hours type, and smoking status affect unmet dental and medical care needs.