• Journal of muscle and joint health
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• v.28 no.2
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• pp.174-182
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• 2021

Purpose: This study is a secondary data analysis study to identify factors related to the quality of life of people aged 65 y or older, according household type. Methods: In 2019, the study extracted the data from the elderly participants (65 y of age or older) from G province Community Health Survey. The data were compiled and analyzed in a composite sample. Results: The quality of life was lowest among single people, grandparents-grandchildren (F=39.88, p<.001). Variables that significantly influenced quality of life in single-person households were basic security(β=-.03, p=.002), high-risk drinking (β=.04, p=.002), number of day to walk (β=.01, p<.001), diabetes mellitus (β=-.03, p<.001), depression (β=-.02, p<.001), and contact frequency (β=.00, p<.001). Variables that significantly influenced grandparents-grandchildren households were basic security (β=.03, p<.001), smoking(β=-.02, p<.001), number of day to walk (β=.00, p<.001), hypertension (β=-.01, p=.009), diabetes mellitus (β=-.04, p<.001), cognitive impairment (β=-.02, p<.001), depression(β=-.02, p<.001), contact frequency (β=.01, p<.001), and neighborhood trust (β=.02, p<.001). Conclusion: In this study, there were differences in health-related quality of life for each type of household, and various support systems are needed in their social networks to suit their characteristics.

• Journal of Nutrition and Health
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• v.48 no.3
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• pp.269-276
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• 2015

Purpose: The aim of the current study was to compare the vegetable and fruit intake between one person households and those living with family. Methods: The 24-hour recall data of 14,914 persons over 20 years old who participated in the Korean National Health and Nutrition Examination Survey (KNHANES) from 2010 to 2012 were used for the final analysis. Consumption of non-salted vegetables and fruits (${\geq}400g/day$), fruits (${\geq}200g/day$), and kimchi (${\geq}120g/day$) was compared between one person households and those living with family. Logistic regression models were used to assess the associations between potential determinants and adequate vegetable and fruit intake. Results: After additional adjustments for age, household income, and total energy intake, no statistically significant differences in likelihood of low intake of nonsalted vegetable and fruit and kimchi were observed between one person households and those living with family. (Nonsalted vegetables and fruits: odds ratio (OR) = 1.15, 95% confidence interval (CI) = 0.79-1.68 for the men; OR = 1.25, 95% CI = 0.98-1.59 for women). However one person households have greater likelihood of low intake of kimchi than those living with family in women (OR = 1.72, 95% CI = 1.31-2.26). Conclusion: Although there were no differences in likelihood of low intake of non-salted vegetables and between individuals living alone and those living with family, women of one person households were great likelihood of low intake of kimchi compared to those living with family.

• KDI Journal of Economic Policy
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• v.33 no.3
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• pp.57-85
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• 2011

This paper investigates the effects of changes in household structure on service demand. The structure of households in Korea has been quickly changed due to low birth rate and population aging as well as increasing women's participation in the workforce. Their consumption patterns may have been altered by the structural changes. This paper focuses on the additional demand for market services replacing household activities such as household chores and care services. First, using a 3-sector time allocation model, we theoretically analyze the mechanism that marketization of household production can lead to the expansion of service industries. Next, in order to analyze the effects of changes in household structure on consumption demand, we estimate the Engel curves according to the QUAIDS model. For empirical work, the Survey of Household Finances was used. According to the results, structural changes in Korean households, such as an increase in single-person households, a decrease in families with a spouse or children under 6 years old, and an increase in dual-earner households, have caused an increase in medical expenses, education and training costs, and expenses for household services, which are typically substitutes for household production services.

• Journal of the Korean Dietetic Association
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• v.4 no.2
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• pp.245-253
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• 1998

In this study, the food cost for the urban worker's living expenses was estimated for the Korea Labor Union. The urban workers living expenses are minimum of healthy and decency level expenses with allowances for minimum quality of life. Thus, the food cost should be enough for purchasing proper kinds and amount of foods which can supply sufficient nutrient to maintain health and which should reflect current food consumption patterns. To estimate the food cost, the Korean Recommended Dietary Allowances was used to calculate the amount of nutrients which should be supplied. The National nutrition survey and the Food balance sheet, were used to estimate the current consumption patterns for the kind and amount of food. To estimate price for each food item, the market survey was executed in six large cities. Also, to verify the estimated food cost, actual food costs were surveyed. For 5 kinds of model household, dietary allowances were calculated for the each nutrient. Using the Korean food guides, the number of serving for each food group were decided for the model households. In each food group, the amount and kind of foods were decided by the current food consumption pattern. The kind and amount of food were adjusted by the amount of calculated nutrient. When the amount of nutrient was between 90% and 110% of the recommended dietary intake, it was accepted. With these amount and kinds of foods, the food cost were calculated using the market survey. Considering extra expenses for the eating-out and processed foods, extra expenses are added. As a results, for single person family, the estimated food cost was 149,210won per month. For two, three, four and five person family, the estimated food costs were 245,179won, 381,182won, 501,669won and 687,980won per month, respectively. The estimated food cost were lower in the single and two person family than the actual food cost by the survey. The cost for eating-out gave major differences. In the future, to estimate food cost, the food consumption patterns for the different kind of household, sex and age should be studied carefully. Also, the pattern of eating-out should by analyzed.

• Journal of Preventive Medicine and Public Health
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• v.54 no.5
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• pp.352-359
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• 2021

Objectives: The aim of this study was to examine the geographic distribution of diabetes mortality in Japan and identify socioeconomic factors affecting differences in municipality-specific diabetes mortality. Methods: Diabetes mortality data by year and municipality from 2013 to 2017 were extracted from Japanese Vital Statistics, and the socioeconomic characteristics of municipalities were obtained from government statistics. We calculated the standardized mortality ratio (SMR) of diabetes for each municipality using the empirical Bayes method and represented geographic differences in SMRs in a map of Japan. Multiple linear regression was conducted to identify the socioeconomic factors affecting differences in SMR. Statistically significant socioeconomic factors were further assessed by calculating the relative risk of mortality of quintiles of municipalities classified according to the degree of each socioeconomic factor using Poisson regression analysis. Results: The geographic distribution of diabetes mortality differed by gender. Of the municipality-specific socioeconomic factors, high rates of single-person households and unemployment and a high number of hospital beds were associated with a high SMR for men. High rates of fatherless households and blue-collar workers were associated with a high SMR for women, while high taxable income per-capita income and total population were associated with low SMR for women. Quintile analysis revealed a complex relationship between taxable income and mortality for women. The mortality risk of quintiles with the highest and lowest taxable per-capita income was significantly lower than that of the middle-income quintile. Conclusions: Socioeconomic factors of municipalities in Japan were found to affect geographic differences in diabetes mortality.

• Journal of Korean Biological Nursing Science
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• v.24 no.4
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• pp.209-218
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• 2022

Purpose: This study aimed to investigate the relationships between the characteristics of nurses' work schedules, health outcomes, and work-life balance. Methods: This was a secondary data analysis that included 422 nurses in Korean hospitals. Descriptive analysis, independent sample t-test, one-way ANOVA, Pearson correlation analysis, and multiple linear regression analysis were used to identify the associated factors. Results: Multiple linear regression analysis showed that work-life balance was lower when atypical work was performed (β=-.14, p=.010). Nurses who did not work overtime showed a higher level of work-life balance than those who worked overtime infrequently (β=-.11, p=.002) or frequently (β=-.28, p<.001). The work-life balance level increased when nurses had better subjective health status (β=.16, p<.001) or higher sleep quality (β=.29, p<.001). It was verified that the work-life balance level was higher for single-person households than for households with two (β=-.18, p=.003), three to four (β=-.16, p=.022), or five or more (β=-.21, p<.001) persons. Conclusion: This study suggests that government and hospital organizations should provide high-quality care and consideration to nurses who do atypical or overtime work as well as their subjective health status and sleep quality. Further research should focus on the development of a policy that improves the work-life balance of nurses, especially for those who work during atypical hours.

• The Journal of Fisheries Business Administration
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• v.54 no.1
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• pp.051-069
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• 2023

This study analyzed the determinants that affect the purchase of ready-to-cook seafood products using the "Consumer Attitude Survey on Processed Foods" from 2018 to 2021. Dietary lifestyle, food awareness and preference survey questions were categorized, and factors affecting the purchase probability of ready-to-cook seafood were identified through a binomial logit model. The main research findings are as follows. First, consumers had higher preference for quality, safety, and new taste factors than health and price factors when purchasing HMR (Home Meal Replacement). Second, through binomial logit model analysis, the probability of purchasing ready-to-cook seafood products was low in the group pursuing taste and economy. On the other hand, the purchase probability was high in the group seeking convenience. Third, the purchase probability of ready-to-cook seafood products was higher in households with two or more persons than in single-person households. These results suggest that differentiated product development and marketing strategies should be needed for each consumer groups in the seafood convenience food market.

• Asian Journal for Public Opinion Research
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• v.3 no.4
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• pp.156-175
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• 2016

This paper considers whether random sampling always produces more accurate survey results in the case of South Korea. We compare information from the 2010 census to the demographic variables of three public opinion surveys from South Korea: Gallup Korea's Omnibus Survey (Survey A) is conducted every two months by Gallup Korea; the annual Social Survey (Survey B) is conducted by Statistics Korea (KOSTAT); the Korean General Social Survey (KGSS or Survey C) is conducted annually by the Survey Research Center (SRC) at Sungkyunkwan University (SKKU). Survey A uses quota sampling after randomly selecting the neighborhood and initial addresses; Survey B uses random sampling, but allows replacements in some situations; Survey C uses simple random sampling. Data from more than one year was used for each survey. Our analysis suggests that Survey B is the most representative in most respects, and, in some respects, Survey A may be more representative than Survey C. Data from Survey C was the least stable in terms of representativeness by geographical area and age. Single-person households were underrepresented in both Surveys A and C, but the problem was more severe in Survey A. Four-person households and married persons were both over-represented in Survey A. Less educated people were under-represented in both Survey A and Survey C. There were differences in income level between Survey A and Survey C, but income data was not available for Survey B or the census, so it is difficult to ascertain which survey was more representative in this case.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.332-345
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• 2020

This study sought to explore the demand in the social service sector and present policy implications, focusing on the vulnerable in rural villages exposed to worse conditions amid the Covid-19 crisis. To this end, the social service needs of vulnerable groups by household type were analyzed by utilizing the raw data of the 2018 Survey on Rural Well-Being. Analysis showed that the greatest demand social services for all rural villages, the elderly, the disabled, one-person, one elderly and low-income households were income support services, while in household that included children the demand was for childcare and education-related services. The second-highest social services in terms of demand were cultural leisure vacation support services for all rural villages, healthcare-related services for the elderly, the disabled, one elderly and low-income households, cultural leisure vacation support services for households including children and daily life support services for single-person households. Based on these results, a measure was proposed to support social services, tailored to vulnerable groups in rural villages. In addition, the government's lack of a consultation system between urban and rural welfare policies, such as a basic plan for health and welfare in rural villages, led this paper to discuss the need for a feedback function and dedicated formulation of mid- to long-term policies in rural villages. It also proposed the establishment of conditions for providing customized social services for rural villages.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.139-146
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• 2021

This study considers the problems and social changes caused by the increase of single-person households in the elderly, and examines SmartHome services for them. We chose trust, security risk, self efficacy, social influence, perceived ease of use, and perceived usefulness as factors that affect attitude. The cognitive level of these factors and the difference betweene gender and education level of these factors were analyzed. The analysis showed that the elderly were fully aware of perceived ease of use and perceived usefulness. In addition, the elderly women are more socially influenced than the elderly men in the use of SmartHome services, and there was a significant difference in self efficacy and social influence by education level. This study will provide a new research perspective for subsequent studies and can be utilized as an important underlying study.