• Korean Journal of Community Nutrition
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• v.29 no.3
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• pp.234-252
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• 2024

Objectives: This study examined the intake of energy and macronutrients among elementary, middle, and high school students according to household income before the COVID-19 pandemic (2016-2019), during the social distancing period (2020-2021), and after the social distancing measures were lifted (2022). Methods: We included 5,217 students aged 5-18 from the Korea National Health and Nutrition Examination Survey (KNHANES) conducted between 2016 and 2022. Dietary intake was assessed using one-day 24-hour dietary recalls. We estimated the least squares means (LS-means) of intake according to household income for each period using a weighted linear regression model, adjusted for age and sex. Differences in LS-means between the periods were analyzed using the t-test. Results: During the social distancing period, the LS-means of energy intake among students decreased significantly by 143.2 kcal/day compared to pre-pandemic levels (P < 0.001). Students from low-income households experienced a more pronounced decrease in energy intake (-379.1 kcal/day, P < 0.001) and macronutrient intake compared to those from other income groups. Energy intake at school significantly declined for all income groups during the social distancing period compared to before the pandemic. No significant changes in home energy intake were observed among low-income students, whereas there was an increase for students from higher-income groups. Before the pandemic, 8.5% of students from low-income households reported insufficient food due to economic difficulties; this figure rose to 21.3% during the pandemic. Conclusions: During the pandemic, students from low-income families experienced significantly lower intake of energy and macronutrients compared to pre-pandemic levels. The most substantial reductions were noted among low-income students, largely due to the lack of compensation for decreased school-based intake with increased intake at home.

• Journal of the Korean Home Economics Association
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• v.41 no.2
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• pp.65-92
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• 2003

This study explored and described the life course of poor female household heads. The data was gathered by in-depth interviews with thirteen poor female heads of households. Most of poor female household heads grew up in poor families. nev could not be educated properly due to their families' poverty and boy preference, and they moved to urban areas to become informal sector laborers. After the marriages, their living conditions became worse, because many of them got married to so lazy men who had alcoholic problems that were not willing to provide their families. The poor female heads of households were under difficulties owing to low income and unstable labor Condition. The economic hardship disturbed the interaction with kins and friends. Although they got in touch with these people, they had uncomfortable feelings because they did not have enough resources which made these relationships reciprocal. Therefore, social welfare policy were essential to support the poor female heads of households.

• Korean Journal of Human Ecology
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• v.17 no.4
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• pp.679-692
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• 2008

The goal of this study is to analyze one-child households' financial structure. The data from 1022 more than two children households and 236 one-child households were taken from the Korean Labor and Income Panel Study(2004). This study compared demographic, socioeconomic and marital characteristics between one-child households and more than two children households. A chi-square test, t-test and multiple regression analysis were used. The major findings were as follows: One-child households were different from more than two children households in demographic socioeconomic characteristics and financial structure. In one-child households, the variable that significantly influenced on consumption expenditures was monthly income and the variables that significantly influenced on private education expenditures were householder's age, home-ownership, monthly income.

• Journal of Families and Better Life
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• v.16 no.4
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• pp.41-54
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• 1998

The purpose of this study is to analyze the compensation of rurul women receive instead of their physical participation and contribution to their households. I am specifically concerned with the rural women's economic status in relation to their decision making power on household and agricultural economic issues as well as property held in their names. The data of 166 rural men and women in Jyungpook Province are collected by using questionnaires in June 1998. The findings of this study are as follows; 1) Rural women contribute average 53% of their husbands' contribution to agricultural labor which is on average 43.0% of total annual household income. 2) The decision making power on major economic issues remains still very low among rural women. Rural women are still excluded from the possibility of actually owning assets such as property,. Only 189% had assets under their names for assets. 3) The significant factors concerning the rural women's decision making power on econo ic issues are gender-role attitudes of rural women and the husband's judgement of how much their wives contribute to the annual household income. 4) the major factors which influence rural women owning household assets are the decision making power on economical matters contribution to the annual household income and each woman's education level.

• Nutrition Research and Practice
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• v.8 no.3
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• pp.304-311
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• 2014

BACKGROUND/OBJECTIVES: The purpose of the study was to investigate the relationship between household food insecurity and nutritional status of children in low-income households. A cross sectional study involved a survey of households (n = 223) receiving the financial assistance. SUBJECTS/METHODS: Eligible mothers that fulfilled the inclusion criteria such as non-pregnant, non-lactating mothers, aged 18 to 55 years with their youngest children aged 2 to 12 years, were purposively selected. The Radimer/Cornell hunger and food-insecurity instrument was administered and children's height and weight were measured. RESULTS: About 16.1% of the households were food secure, while 83.9% experienced some kind of food insecurity. Out of food insecure category, 29.6% households were food insecure, 19.3% women were individual food insecure and 35.0% fell into the child hunger category. Education of the mother (P = 0.047), household size (P = 0.024), number of children (P = 0.024), number of children going to school (P = 0.048), total monthly income (P < 0.001), income per capital (P < 0.001), number of household members contributing to the income (P = 0.018) and food expenditure (P = 0.006) were significant risk factors for household food insecurity. The prevalence of underweight, stunting and wasting in children were 61.0%, 61.4% and 30.6% respectively. Based on multinomial logistic regression, children in food-insecure households were 2.15 times more likely to be underweight and three times to be stunted than children in the food-secure households. CONCLUSIONS: The findings suggest that household food insecurity is associated with the nutritional status of the children in the rural area of Northeastern Peninsular Malaysia.

• Journal of the Korean housing association
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• v.24 no.5
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• pp.27-37
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• 2013

Because of rapid aging, housing stability of elderly household is becoming an important social problem. The population of the elderly people was 11.3% and that of the elderly household was 23.2%, about 407 million, in 2010. Yet, social policies for elderly people are focusing on the household who takes care of the elderly people, not on the elderly headed households. These policies fail to reflect the reality. Housing satisfaction of the elderly household is different based on the tenure type and the satisfaction can be further affected by the types of elderly household within the same tenure group. Thus, strengthening the policies for the elderly headed households as well as differentiating the policies based on the types of household is required in order to meet the needs of the elderly households. For the elderly household living in a rent house in a city, a housing voucher is needed and for the low income elders who own their houses, housing renovation is required. Public housing affects only the residential satisfaction of single elderly households, not for all elderly households probably because public housing does not meet the demand of the elderly households appropriately. Since the elderly households wanting to move is noticeably small, a policy that provides proper facilities within the elders' neighborhood is most necessary. Also, in order to lessen the burden of housing expenses of the elders with low income, a public housing policy, in which 2-3 people living together in one public housing, needs to be examined.

• The Korean Journal of Health Service Management
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• v.12 no.2
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• pp.89-99
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• 2018

Objectives : To compare the degree of achievement of Universal Health Coverage (UHC) among 39 developing countries in Africa and to investigate the correlation between health care financing and the UHC index. Methods : For data, 14 UHC indexes were used in 2015 supplied by the World Health Organization (WHO). In addition, this study used a 10% of threshold point corresponding to the catastrophic health expenditures and a 25% of threshold points as a health care financing index. Results : It was found that there were significant difference among Least Low Developed Countries (LLDCs), Other Low Income Countries (Other LICs), Lower Middle Income Countiies (LMICs), Upper Middle Income Countires (UMICs) to compare the average value by nation on the UHC index. This study showed that the UHC index of LLDCs was lowest, but the average value was higher as it moved towards LMICs and UMICs. In addition, it was found that there was an average value difference among the groups like LLDCs, Other LICs, LMICs and UMICs. As a result of comparison, it was found that the spending of household health expenditure increased as LLDCs moved towards UMICs when the burden of household health expenditure was 25%. Conclusions : This study aimed to compare the UHC indexes of African nations and to investigate the correlation between the degree of spending of total expenditure on health and burden of household health expenditure and UHC, and its effect.

• Journal of Digital Convergence
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• v.15 no.1
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• pp.329-338
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• 2017

This study aims to identify factors to affect cancer screening utilization and differences in cancer screening by household income. This research selected 3,393 adults aged ${\geq}40years$ among surveyees from the 6th(2014) Korea National Health and Nutrition Examination Survey. We analyzed state of cancer screening utilization according to general characteristics, life style, health status, income level using descriptive statistics. Logistic regression analysis was used to examine the factors associated with cancer screening utilization. In result, cancer screening rate was significantly different according to household income. And the significant factors associated with cancer screening utilization were sex, age, marital status, education level, economic activity, private insurance, smoking, presence or absence of high physical activity, number of chronic diseases, and household income. This indicates that the effective cancer screening program on the low household income, chronic disease patients is needed, suitable for digital age. We believe that these results will be used positively for the equity of cancer screening utilization, providing the basic materials for the further research on the establishment of the health-related policy.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.331-341
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• 2019

The purpose of this analysis is to examine the effects of health expenditure on income inequality on household income after the financial crisis by using the household income survey form 1996 to 2016. The main results are as follows. First, after the financial crisis, the gross income inequality of households has been changing steadily, though there has been a slight change in each year. Second, high-income earners spend more on health care expenditure by income level. Therefore, unequal levels are maintained. Third, the Gini coefficient of income excluding health care expenditure was calculated. The results of the analysis are larger than the Gini coefficient of total income. Income inequality is intensified by the expenditure of health care expenditure of households. The inequality of household income due to health care expenditure has been increasing steadily since the financial crisis. Efforts such as strengthening the protection of health insurance have been continuously carried out for the purpose of reducing the burden of the national medical expenses. However, it does not contribute to resolving income inequality. In the future, it will be necessary to provide a more selective medical support system to reduce the medical expenditure of the low income class.

• Journal of Nutrition and Health
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• v.54 no.1
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• pp.39-53
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• 2021

Purpose: This study examined the dietary behavior, health status and nutrient intake by considering the level of household income of elderly people using data obtained from the Korea National Health and Nutrition Survey (KNHANES VII) 2018. Methods: The study subjects were 1,355 elderly people over 65 years old (558 men, 797 women). Based on their household income, participants were classified into three groups: low-income, middle-income, and high-income. The variables consisted of general characteristics, dietary behavior, health status, health related behavior, and dietary intakes. Dietary data were estimated by the 24-hour dietary recall. Results: In men, the low-income group encompassed older, less educated, less employed, and living with family of first generation. However, in women, there were no differences in employment by the level of income, and women living alone had lower income than subjects living with family. Elderly men in the high-income group had a significantly higher level of nutrient intake (energy, protein, fat, phosphorous, riboflavin, niacin and vitamin C). Men in the low-income group consumed a significantly lower intake of fruits, seaweeds and eggs, including total food. Women in the low-income group had significantly less intake of protein, fat, calcium, phosphorous, iron, vitamin A, riboflavin, and niacin whereas women in the high-income group had significantly higher intake of sugar & sweet, eggs, and beverages, including total food. Conclusion: These results suggest that the level of household income is an important factor that influences food and nutrient intake in the Korean elderly. The socioeconomic status needs to be considered differently among elderly men and women when implementing food assistant programs and designing nutrition education programs.