• Journal of The Korean Society of Integrative Medicine
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• v.11 no.3
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• pp.35-47
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• 2023

Purpose : As the population aging deepens, the number of elderly people with arthritis is also continuously increasing. Accordingly, this study intended to identify the factors influencing the health-related quality of life (HINT-8) of the elderly with arthritis according to household type and provide baseline data for developing a measure to enhance the life quality of the elderly with arthritis. Methods : The factors influencing the health-related quality of life (HINT-8) of the elderly with arthritis were identified based on the raw data from the Korea national health and nutrition examination survey conducted in 2021. Data were analyzed with SPSS Statistics ver 25.0 for windows (IBM Corp), and the significance level (α) was set to .05. Statistical analysis was performed with t-test, ANOVA, multiple regression analysis, and post-hoc analysis with Duncan test. Results : The factors that influenced the health-related quality of life (HINT-8) of single-households were medical aid (β=-.17, p=.045), restriction of activity (β=-.17, p=.023), self-rated health status (β=.29, p<.001), and anxiety scale (β=-.36, p<.001). The factors that influenced the health-related quality of life (HINT-8) of multi-households were an age of 75 or over (β=-.14, p=.011), living in rural (β=-.14, p=.003), the outpatient department treatment experience (β=-.09, p=.047), self-rated health status (β=.26, p<.001), anxiety scale (β=-.29, p<.001), and stress (β=-.22, p<.001). Conclusion : Factors affecting the health-related quality of life (HINT-8) of the elderly with arthritis were found to be different between single-person households and multi-person household. Therefore, it is necessary to prepare measures to improve the quality of life of the elderly with arthritis by considering the factors influencing the health-related quality of life (HINT-8) of the elderly with arthritis according to the household type identified in this study.

• Research in Community and Public Health Nursing
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• v.29 no.4
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• pp.414-428
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• 2018

Purpose: The purpose of this study is to identify the spatial distribution of hypertension prevalence and to investigate individual and regional-level factors contributing to the prevalence of hypertension in the region. Methods: This study is a cross-sectional research using the 2015 Community Health Survey. Total 64,473 people from 7 metropolitan cities were used for the final analysis. Geoda program was adopted to identify the regional distribution of hypertension prevalence and analyzed by descriptive statistics, one-way ANOVA and correlation analysis using SPSS statistics 23.0 program. Multi-level analysis was performed using SPSS (GLMM). Results: The prevalence of hypertension was related to individual level factors such as age, monthly household income, normal salt intake, walking practice days, and regional level factors including number of doctors per 10,000 population, number of parks, and fast food score. Besides, regional level factors were associated with hypertension prevalencies independently without the effects of individual level factors even though the influences of individual level factors ware larger than those of regional factors. Conclusion: Respectively, both individual and regional level factors should be considered in hypertension intervention programs. Also, a national level research is further required by exploring various environmental factors and those influences relating to the hypertension prevalence.

• Journal of Korean society of Dental Hygiene
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• v.23 no.4
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• pp.235-243
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• 2023

Objectives: This study compared the number of graduates in each region for the past 6 years and the number of dental hygienists working in dental clinics by region to evaluate the trend of dental hygienists moving to work areas after graduation. Methods: Health care big data open system_medical manpower statistics, resident population and household status data by year, and education statistics service were used to calculate the number of dentists and dental hygienists, admission status by region, number of dental hygienists per 100,000 population, number of dental hygienists per number of dentists, and distribution of dental hygienists by region. Results: Although the number of active dental hygienists increased in the metropolitan area, the ratio of dental hygienists to dentists did not improve significantly. In addition, the number of students enrolled in provincial universities decreased, and there were fewer active dental hygienists than graduates in provincial areas. Conclusions: Although the number of active dental hygienists increased due to increase in the number of dental hygiene departments, it was found that rural areas did not have a significant impact on the availability of dental hygienists as the graduates moved to the metropolitan area.

• Journal of Distribution Science
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• v.16 no.9
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• pp.79-99
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• 2018

Purpose - Food consumption in Korea has changed in paradigm as it has grown qualitatively in the past in quantitative shortages. Consumer food consumption patterns are rapidly changing due to changes in economic, social and population conditions, scientific and technological development, climate change, and market opening. At the same time, there is a need to actively respond to these changes in terms of the food industry, market, and government policy. The purpose of this study is to examine the changes and characteristics of food consumption expenditure of Korean consumers in-depth and depth in order to provide implications for agriculture, food market and policymakers. Research design, data, and methodology - We analyzed various food consumption changes from the 1980s to 2015 through Household Income and Expenditure Survey raw data from MDIS(Microdata Integrated Service) of Statistics Korea. and conducted the age effect, generation effect, and year effect by cohort analysis. We also conducted comparisons with OECD countries on several indicators. Results - Food consumption spending was slow, and there was no significant change in home consumption, while eating out consumption increased about 20 times in 2015 compared to 1980. Income, age, residential area, number of household members showed significant changes in food consumption. According to the cohort analysis, the changes in the food consumption structure are largely due to age effect, and the year, age, and generation effects are different for each food item. Conclusions - Food consumption has a significant impact on not only the nutritional status of consumers but ultimately the public health. Therefore, they should be regarded as a strategic policy area of central government rather than a matter of size and change of food consumption expenditure.

• Journal of the Korean Statistical Society
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• v.32 no.2
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• pp.121-150
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• 2003

The National Health Interview Survey (NHIS) is one of the surveys used to assess the health status of the US population. One indicator of the nation's health is the total number of doctor visits made by the household members in the past year, There is a substantial nonresponse among the sampled households, and the main issue we address here is that the nonrespones mechanism should not be ignored because respondents and nonrespondents differ. It is standard practice to summarize the number of doctor visits by the binary variable of no doctor visit versus at least one doctor visit by a household for each of the fifty states and the District of Columbia. We consider a nonignorable nonresponse model that expresses uncertainty about ignorability through the ratio of odds of a household doctor visit among respondents to the odds of doctor visit among all households. This is a hierarchical model in which a nonignorable nonresponse model is centered on an ignorable nonresponse model. Another feature of this model is that it permits us to "borrow strength" across states as in small area estimation; this helps because some of the parameters are weakly identified. However, for simplicity we assume that the hyperparameters are fixed but unknown, and these hyperparameters are estimated by the EM algorithm; thereby making our method Bayes empirical Bayes. Our main result is that for some of the states the nonresponse mechanism can be considered non-ignorable, and that 95% credible intervals of the probability of a household doctor visit and the probability that a household responds shed important light on the NHIS.

• The Korean Journal of Applied Statistics
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• v.18 no.2
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• pp.311-328
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• 2005

This paper deals with a treatment of nonresponse in farm and fishery household economy surveys in Korea. Since the samples in two surveys were selected by stratified multi-stage sampling and weighted sample means has been used to estimate the population means, we choose a weighted hot-deck imputation method as an appropriate method for two surveys. We investigate the procedure of the weighted hot-deck as well as an adjusted jackknife method for variance estimation. Through an empirical study we found that the method worked very well in both mean and variance estimation in two surveys. In addition, we presented a procedure of forming imputation class and formed four imputation classes for each survey and then compared them with analysis. As a result, we presented two most efficient imputation classes for two surveys.

• Communications for Statistical Applications and Methods
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• v.17 no.3
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• pp.337-347
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• 2010

Most sample surveys are designed to estimate reliable statistics for the whole population and for some large subpopulations. However, the research for small area estimation have been increasing in recent years because users demand to reliable estimates for smaller subpopulations like small areas or specific domains. In Korea, the Economically Active Population Survey(EAPS) is the main household survey that produces monthly unemployment rates for nationwide and 16 large areas (7 metropolitans and 9 provinces) in Korea. For county level estimation, direct estimators are not reliable because of the small sample sizes. We consider small area estimation of the county level unemployment ratesfrom the sample observations in EAPS. To do this, we use an area level model to "borrow strength" from the auxiliary information, such as administrative data and census data. The proposed method is based on the assumption of normality of the model errors in the area level model. The proposed method is compared with the other alternatives in terms of the estimated mean squared errors.

• Journal of the Korean association of regional geographers
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• v.16 no.2
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• pp.123-136
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• 2010

To grasp the migration characteristics in the Busan Metropolitan Area (BMA), this study analyzed household characteristics and migration selectivity. The major findings of the study are as follows: first, young (especially 25 to 34 years of age) and single person households have greater propensity to migrate out from BMA, and their home ownership rate is low. These trends are much stronger in households that migrate out towards the Seoul Metropolitan Area from Busan. Second, age and educational selectivity of migration is evident. The characteristics of movers are quite different from those of stayers at Busan. Young people are more likely to migrate out of Busan, and higher levels of education are deeply associated with higher mobility. Through analyzing four high schools in Busan, it is acknowledged that most honor students entered 4-year universities in Seoul. The outflow of highly educated young people may induce the brain drain. Busan is undergoing both population decline and the problems caused by the brain drain.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.635-641
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• 2021

This article analyzes the factors affecting income inequality in Vietnam, with data from 63 provinces and cities collected from the Vietnam Household Living Standards Survey of the General Statistics Office of Vietnam from 2010 to 2018. The article will firstly build a research model to identify factors affecting income inequality. Then, it uses the Generalized Method of Moments (GMM) method to evaluate the effect of factors on income inequality in Vietnam. The empirical estimate result shows that, in the period from 2010 to 2018, the factors such as the proportion of the working employees, income per capita, and inflation have positive effects on the Gini coefficient. That is, when these factors increase, there will be negative effects on improving income inequality in Vietnam. Conversely, when the factors such as the proportion of the literate adults, the proportion of the urban population, and population density increase they will have a positive impact on improving income inequality in Vietnam during this period. The estimated coefficients satisfied the sign expectation except the proportion of the literate adults. It means that, in Vietnam, the increase and more equilibrium in educational attainment balance the distribution of income and bring an improvement in income inequality.

• Journal of Home Health Care Nursing
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• v.27 no.3
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• pp.284-293
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• 2020

Purpose: Based on Anderson's model of health service utilization, we investigated the factors that affect the influenza vaccination status in Korean adults aged 50-64 years, who live alone. Methods: Data of 194 Korean adults aged 50-64 years, who live alone were obtained from the Korea National Health and Nutrition Examination Survey 7th Edition (2016-2018). Descriptive statistics and a multiple logistic regression model were used for statistical analysis. Results: The influenza vaccination rate in the study population was 39.3%. Educational status and health behaviors such as smoking habits and regular medical check-up were associated with the influenza vaccination rate in Korean adults aged 50-64 years, who live alone. Multiple logistic regression analysis showed that educational level lower than middle school graduation (odds ratio [OR] 2.02), non-smoking status (OR 1.98), and lack of regular medical check-up (OR 0.62) were significantly associated with the influenza vaccination rate in Korean adults aged 50-64 years, who live alone. Conclusion: The influenza vaccination rate in Korean adults aged 50-64 years, who live alone, is relatively low; therefore, policies should be implemented to improve the influenza vaccination rate in this population. Influenza vaccination in single households was affected by health promotion activities; therefore, interventions are warranted to encourage overall health promotion activities.