• Research in Community and Public Health Nursing
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• v.12 no.3
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• pp.609-619
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• 2001

This cross-sectional study is to measure the distribution of self-reported health by income, house type, level of education, income satisfaction and self reported social class in an effort to compare the level of health inequality in Korea. The data used in the research are the Social Statistics Survey undertaken in 1999. The correlation coefficient was used to measure the association between inequalities in health and inequalities in socioeconomic status. The correlation coefficient was the most significant between self-reported health and the level of education and income satisfaction. As for the health-related behavior, hypertension, smoking, overweight and drinking were shown to be highly correlated with self-reported health.

• East Asian Economic Review
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• v.26 no.4
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• pp.305-336
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• 2022

This study applied the macro-micro simulation model (i.e., what-if analysis) to investigate the impact of transport related to the Belt and Road Initiative (BRI) on poverty and income inequality in Laos. We selected Laos as a case study of a developing country. We used the standard GTAP model with the GTAP database (version 10) for the macrosimulation, whereas we used the household model with the latest Lao household data from 2019 for the microsimulation. Our findings revealed that the output of the Lao economy was anticipated to increase by up to 0.3%, while the poverty rate was anticipated to decline from 17.0% to 15.7%. However, there would be winners and losers in industries and groups of households in different areas. In particular, rich households with a comparative socioeconomic advantage, such as in education, engagement in nonfarm business, and infrastructure access, would mostly gain benefits; consequently, this would lead to higher inequality in Laos. Therefore, the inequality index (i.e., the Gini coefficient) would increase from 41.2 to 60.1. After a simulation of BRI transport, we also found that some nonpoor households, which are mainly associated with farm activities and lower educational levels, would fall into poverty.

• Journal of Preventive Medicine and Public Health
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• v.40 no.6
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• pp.505-511
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• 2007

Objectives : While cervical cancer is one of the leading cancers among women worldwide, there are a number of effective early detection tests available. However, the participation rates in cervical cancer screening among Korean women remain low. After the nationwide efforts in 1988 and thereafter to encourage participation in cervical cancer screening, few studies have investigated the effects of socioeconomic inequality on participation in cervical cancer screening. The purpose of this study was to investigate 1) the level of socioeconomic disparities in receiving cervical cancer screening by age group and 2) if there was an improvement in reducing these disparities between 1995 and 2001. Methods : Using data from the Korean National Health Status, Health Behavior and Belief Survey in 1995, the Korean National Health and Nutrition Examination Surveys from 1998 and 2001 (sample sizes of 2,297, 3,738, and 3,283), age-standardized participation rates were calculated according to education level, equivalized household income, and job status. Odds ratios and the relative inequality index (RII) were also calculated after controlling for age. Results : Women with lower education levels were less likely to attend the screening test, and the disparities by education level were most pronounced among women aged 60 years and older. The RIIs among women 60 years and older were 3.64, 4.46, and 8.64 in 1995, 1998, and 2001, respectively. Higher rates of participation were reported among those in the highest income category, which was more notable among the middle aged women (40s and 50s). An inconsistent trend in the rate of participation in cervical cancer screening by occupational level was found. Conclusions : Indicators of socioeconomic position seem to have varying impacts on the inequalities in the rates of participation in cervical cancer screening according to age group. These results demonstrate the need for more aggressive and age-based interventions and policy programs to eliminate the remaining inequalities.

• Health Policy and Management
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• v.18 no.4
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• pp.1-22
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• 2008

Burden of disease analysis provides a unique perspective on health by integrating fatal and non-fatal outcomes, yet allows the outcome of two classes to be examined separately. Although many studies have shown the inequality in health outcomes across socioeconomic status (SES), an analysis and comparison of Disability Adjusted Life Year (DALY) between different socioeconomic groups has been rare. This paper calculates the DALY and analyzes the distribution of DALYs for different SES. This study draws from 3,278 cases from the survey on "The Livelihood and Welfare Needs of the Elderly (2004)". It first provides a comprehensive assessment of the burden of 10 chronic diseases of the elderly based on DALY. Then this paper analyzes inequalities in the burden of disease by the levels of SES such as education, income, family size, occupation, and subjective economic conditions. For the elderly, the burden of disease is the highest for hypertension, arthritis and cancer. DALY rate per 1,000 people for the most socio-economically disadvantaged group is expressed as a multiple of the standardized rate for the least disadvantaged group (Rate Ratios). Family size is strongly related to. the difference in the burden of disease between SES groups, and the elderly Who live alone have higher DALY rate than those who live with their family. Other significant variables related to SES groups include subjective economic conditions, occupation, elderly income, and household income.

• Journal of Korean Biological Nursing Science
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• v.19 no.2
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• pp.98-106
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• 2017

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.

• Journal of Korean Public Health Nursing
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• v.23 no.2
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• pp.162-173
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• 2009

Purpose: This study investigated the health and socioeconomic status of single-parent and partnered families, and examined the intersection between sex and single-parent status focusing on inequalities of health and socioeconomic status. Methods: This was a cross-sectional study using the data from the nationally representative 2005 Korean National Health and Nutrition Examination Survey. A total of 14,827 respondents had custody of their own children and other family members (13,943 were coupled families and 891 were single-parent). Results: Our result indicate that single-parent had poorer health status and were more likely to have lower educational attainment, lower household income, no home ownership and be unemployed. However, the association between single-parent status and socioeconomic and health inequality were in divergent ways according to sex. The most socioeconomically disadvantaged were single-parent women. Inequalities in health differ markedly by sex but vary little according to single-parent status. Conclusions: An uneven distribution of socioeconomic resources might help us to understand why single-parent, both women and men, have worse health than parents who live together. Previously recognized sex gap with regard to health status also might help us to understand the difference in health between single-parent men and single-parent women found here.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.11
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• pp.6965-6969
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• 2013

Background: Tobacco consumption has been identified as the single biggest cause of inequality in morbidity and mortality. Understanding pattern of socioeconomic equalities in tobacco consumption in India will help in designing targeted public health control measures. Materials and Methods: Nationally representative data from the India Global Adult Tobacco Survey (GATS) conducted in 2009-2010 was analyzed. The survey provided information on 69,030 respondents aged 15 years and above. Data were analyzed according to regions for estimating prevalence of current tobacco consumption (both smoking and smokeless) across wealth quintiles. Multiple logistic regression analysis predicted the impact of socioeconomic determinants on both forms of current tobacco consumption adjusting for other socio-demographic variables. Results: Trends of smoking and smokeless tobacco consumption across wealth quintiles were significant in different regions of India. Higher prevalence of smoking and smokeless tobacco consumption was observed in the medium wealth quintiles. Risk of tobacco consumption among the poorest compared to the richest quintile was 1.6 times higher for smoking and 3.1 times higher for smokeless forms. Declining odds ratios of both forms of tobacco consumption with rising education were visible across regions. Poverty was a strong predictor in north and south Indian region for smoking and in all regions for smokeless tobacco use. Conclusions: Poverty and poor education are strong risk factors for both forms of tobacco consumption in India. Public health policies, therefore, need to be targeted towards the poor and uneducated.

• Journal of the Korean association of regional geographers
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• v.20 no.2
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• pp.217-229
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• 2014

This study was performed to identify neighborhood deprivation indicators associated with health and to test the contextual effects of those indicators on individual health. This study calculated SMR based on Dong district and see the differences of prediction across deprivation index and indicators. Then, a multi-level analysis using HGLM was conducted to test the contextual effect of neighborhood depreivation indicators on health after controlling for demographic and socioeconomic status of individuals. The results showed that regional SMR had strong correlations with land price, education, welfare recipients, female household proportion in Dong district but failed to show the correlation with individual health and neighborhood deprivation. Individual health was only associated with individual level of demographic and socioeconomic status. That is, spatial dispersion of illness is understood as the distribution of social classes in terms of socioeconomic status of individuals, not the contextual aspects of community.

• Journal of Preventive Medicine and Public Health
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• v.47 no.2
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• pp.104-112
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• 2014

Objectives: To date, studies have not comprehensively demonstrated the relationship between stroke incidence and socioeconomic status. This study investigated stroke incidence by household income level in conjunction with age, sex, and stroke subtype in Korea. Methods: Contributions by the head of household were used as the basis for income levels. Household income levels for 21 766 036 people were classified into 6 groups. The stroke incidences were calculated by household income level, both overall within income categories and further by age group, sex, and stroke subtype. To present the inequalities among the six ranked groups in a single value, the slope index of inequality and relative index of inequality were calculated. Results: In 2005, 57 690 people were first-time stroke patients. The incidences of total stroke for males and females increased as the income level decreased. The incidences of stroke increased as the income level decreased in those 74 years old and under, whereas there was no difference by income levels in those 75 and over. Intracerebral hemorrhage for the males represented the highest inequality among stroke subtypes. Incidences of subarachnoid hemorrhage did not differ by income levels. Conclusions: The incidence of stroke increases as the income level decreases, but it differs according to sex, age, and stroke subtype. The difference in the relative incidence is large for male intracerebral hemorrhage, whereas the difference in the absolute incidence is large for male ischemic stroke.

• Yonsei Medical Journal
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• v.59 no.9
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• pp.1034-1040
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• 2018

Purpose: This study aimed to investigate inequalities in colorectal cancer (CRC) screening rates in Korea and trends therein using the slope index of inequality (SII) and relative index of inequality (RII) across income and education groups. Materials and Methods: Data from the Korean National Cancer Screening Survey, an annually conducted, nationwide cross-sectional survey, were utilized. A total of 17174 men and women aged 50 to 74 years were included for analysis. Prior experience with CRC screening was defined as having either a fecal occult blood test within the past year or a lifetime colonoscopy. CRC screening rates and annual percentage changes (APCs) were evaluated. Then, SII and RII were calculated to assess inequality in CRC screening for each survey year. Results: CRC screening rates increased from 23.4% in 2005 to 50.9% in 2015 (APC, 7.8%; 95% CI, 6.0 to 9.6). Upward trends in CRC screening rates were observed for all age, education, and household income groups. Education inequalities were noted in 2009, 2014, and overall pooled estimates in both indices. Income inequalities were inconsistent among survey years, and overall estimates did not reach statistical significance. Conclusion: Education inequalities in CRC screening among men and women aged 50 to 74 years were observed in Korea. No apparent pattern, however, was found for income inequalities. Further studies are needed to thoroughly outline socio-economic inequalities in CRC screening.