• Journal of Preventive Medicine and Public Health
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• v.43 no.1
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• pp.50-61
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• 2010

Objectives: The study is investigated socioeconomic variations in self-rated health status and contribution of health behavioral factors in Korea. Methods: A nationally representative sample (2,800 men and 3,230 women aged 20-64 years) from the 2005 Korea National Health and Nutrition Surveys was analyzed using logistic regression. Results: Self-rated health was lower among lower socioeconomic groups compared with higher socioeconomic groups, with gender being irrelevant. This association was attenuated when health behavioral and socio-demographic factors were adjusted. When each health behavioral factor was considered separately, mediators such as smoking in men, and stress or exercise in women explained a large part of the decreased socioeconomic health inequalities. Conclusions: In Korea, subjective health inequalities arise from different socioeconomic status, but this difference is decreased by health behavioral factors. Therefore, socioeconomic inequity in self-rated health status can be corrected more effectively by promotional health behaviors.

• Journal of Preventive Medicine and Public Health
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• v.41 no.3
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• pp.165-172
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• 2008

Objectives : Despite various government initiatives, including the expansion of national health insurance coverage, health inequality has been a key health policy issue in South Korea during the past decade. This study describes and compares the extent of the total health inequality and the income-related health inequality over time among Korean adults. Methods : This study employs the 1998, 2001 and 2005 Korean National Health and Nutrition Examination Surveys (KNHANESs). The self-assessed health (SAH) ordinal responses, measured on a five-point scale, resealed to cardinal values to measure the health inequalities with using interval regression. The boundaries of each threshold for the interval regression analysis were obtained from the empirical distribution of the EuroQol-5 Dimension (EQ-5D) valuation weights estimated from the 2005 KNHANES. The final model predicting the individuals' health status included age, gender, educational attainment, occupation, income, and the regional prosperity index. The concentration index was used to measure and analyze the health inequality. Results : The KNHANES data showed an unequal distribution of the total health inequality in favor of the higher income groups, and this is getting worse over time (0.0327 in 1998, 0.0393 in 2001 and 0.0924 in 2005). The income-related health inequality in 2005 was 0.0278, indicating that 30.1% of the total health inequality can be attributed to income. Conclusions : The findings indicate there are health inequalities across the sociodemographic and income groups despite the recent government's efforts. Further research is warranted to investigate what potential policy actions are necessary to decrease the health inequality in Korea.

• 대한예방의학회:학술대회논문집
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• 2002.10a
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• pp.498-499
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• 2002

• Health Policy and Management
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• v.22 no.1
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• pp.85-108
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• 2012

One of the ways to achieve the principle of equal access for equal needs, availability and geographical accessibility of health care resources regardless of resident sites is important. The purpose of this paper is to measure socioeconomic inequities in distribution of health care resources among regions in the Republic of Korea (hereafter Korea). Data were extracted from regional statistics of National Health Insurance, Community Health Survey, Korea Social Science Data Archive, and Korean Statistical Information Services at the same period of 2009. The dependent variables were the number of health workforce and health care facilities in each region. The proxy indicator of regional socioeconomic status was local tax per person. To identify whether inequalities among regions, we examined the concentration index(CI) and indirectly standardized CI by controlling each region's demographics and need factors. Total observations were 232 districts in nationwide, and we analyzed separately Seoul(25 districts) and non-Seoul areas(207 districts). The standardized CI values of health care resources were positive(favoring the rich region) across the nation in almost all kinds of resources. Especially the number of specialist, dentist, dental clinics, clinics, oriental medical clinics, pharmacists, and pharmacies were statistically significantly favoring the rich region. But the CI for the number of long-term care hospitals, public health centers were negative(favoring the poor region). The tendency of CI presenting positive values were increased in Seoul area. But in the case of non-Seoul, the CI indexes were nearly zero. The results suggest that except the Seoul area, little regional socioeconomic-related inequalities were observed in the distribution of health care resources in Korea.

• Journal of Preventive Medicine and Public Health
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• v.40 no.6
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• pp.439-446
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• 2007

In order to reduce the health inequalities within a society changes need to be made in broad health determinants and their distribution in the population. It has been expected that the Health impact assessment(HIA) and Healthy Cities can provide opportunities and useful means for changing social policy and environment related with the broad health determinants in developed countries. HIA is any combination of procedures or methods by which a proposed 4P(policy, plan, program, project) may be judged as to the effects it may have on the health of a population. Healthy city is one that is continually creating and improving those physical and social environments and expanding those community resources which enable people to mutually support each other in performing all the functions of life and in developing to their maximum potential. In Korea, social and academic interest regarding the HIA and Healthy Cities has been growing recently but the need of HIA and Healthy Cities in the perspective of reducing health inequality was not introduced adequately. So we reviewed the basic concepts and methods of the HIA and Healthy Cities, and its possible contribution to reducing health inequalities. We concluded that though the concepts and methods of the HIA and Healthy Cities are relatively new and still in need of improvement, they will be useful in approaching the issue of health inequality in Korea.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.520-534
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• 2018

This study was conducted to understand the conceptual definition and characteristics of health inequality. To accomplish this, we analyzed data collected from 14 participants as well as from available literature regarding health inequality using the hybrid model introduced by Schwartz-Barcott and Kim. We categorized health inequality into nine attributes in three dimensions. These dimensions included "target", "precede", and "result," corresponding to the target, cause and consequence of health inequality, respectively. Specifically, we define health inequality as individuals, families, communities, socio-economic, or geographically distinct demographic groups that are treated unfairly and result in several problems such as loss of quality of life, reduction of survival rate, or aggravation of a disease due to (i) poor treatment by a hospital (ii) irregular meals, (iii) desperate need for work (for money), (iv) expensive medical care costs, (v) qualitative differences in medical care by regional groups (vi) the lack of knowledge regarding disease (vii) and inadequate health care because of lack of time. As a result of this unfair treatment, human rights violation occurs. The major contribution from this paper is that we provide a guideline for establishing strategies to reduce health inequality by identifying the concept of health inequality. Based on this study, we recommend development of an educational program to reduce health inequalities.

• Health Policy and Management
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• v.14 no.4
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• pp.1-20
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• 2004

This study is to examine relationships of several socioeconomic position indicators with mortality risk in a nationwide longitudinal study of South Korea. The Korea Labor & Income Panel Study, conducted on a probability sample of urban South Korean households by Korea Labor Institute, contains date of death information for the decedents which were used to estimate relative risks of mortality and their $95\%$ confidence intervals (CI) with Cox regression analysis. A total of 125 men and women among 8,415 subjects died between 1998 and 2002. Socioeconomic differentials in mortality were observed after adjustment for sex and age. Those with less than 12-year education had 1.90 times $(95\%\;CI=1.25-2.91)$ greater mortality risk than those with 12-year education or more. Greater mortality risks were also found among those with low occupational class and manual occupation. The magnitude of differentials in mortality risks between occupational class were similar in two different approaches to measuring women's occupational class: (1) approach 1 where women, married or not, retain their own occupational class, and (2) approach 2 where married women are assigned their husbands' occupational class. Relative risks of dying among those with low household Income were 1.62 $(95\%\; CI=1.08-2.42)$ compared with the counterparts. Those who reported economic hardship at the time of survey in 1998 had greater risk of mortality $(RR=1.83,\;95\%\;CI=1.21-2.78)$ than those who did not. In conclusion, increased social discourse and policy discussions about these health inequalities are needed in Korean society. Future studies should explore the causes and mechanisms of socioeconomic mortality inequalities.

• East Asian Journal of Business Economics (EAJBE)
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• v.11 no.2
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• pp.71-80
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• 2023

Purpose - The pandemic has magnified and deepened existing socioeconomic disparities, including healthcare, education, income, gender, and housing. This study aims to examine the intersectionality of these disparities and their implications for promoting equity and justice. Research design, data, and methodology - This study is a comprehensive review of the literature on the impact of the COVID-19 pandemic on socioeconomic disparities. The review includes empirical studies, policy reports, and academic articles on healthcare, education, income, gender, and housing disparities. Result - The pandemic has exposed significant disparities in healthcare, education, income, gender, and housing. Healthcare disparities have been highlighted, and there is a need for more equitable access to care and addressing social determinants of health. Educational and income disparities are closely linked, perpetuating cycles of poverty and inequality. Gender disparities have been exacerbated, with women experiencing disproportionate impacts on their health, well-being, and economic security. The pandemic has highlighted the need for safe, stable, and affordable housing. Conclusion - The pandemic has brought to light numerous socioeconomic disparities that require systemic change to address. Promoting equity and justice requires a comprehensive, long-term approach that addresses systemic factors and promotes social and economic equity. By taking action to address these issues, we can create a more just and equitable society that promotes the health and well-being of all its members.

• 대한예방의학회:학술대회논문집
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• 2001.10a
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• pp.257-257
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• 2001

• Journal of Preventive Medicine and Public Health
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• v.51 no.6
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• pp.310-319
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• 2018

Objectives: This study examined trends in inequality in cigarette smoking prevalence by income according to recent anti-smoking policies in Korea. Methods: The data used in this study were drawn from three nationally representative surveys, the Korea National Health and Nutrition Examination Survey, the Korea Community Health Survey, and the Social Survey of Statistics Korea. We calculated the age-standardized smoking prevalence, the slope index of inequality, and the relative index of inequality by income level as a socioeconomic position indicator. Results: Smoking prevalence among men decreased during the study period, but the downward trend became especially pronounced in 2015, when the tobacco price was substantially increased. Inequalities in cigarette smoking by income were evident in both genders over the study period in all three national surveys examined. Absolute inequality tended to decrease between 2014 and 2015 among men. Absolute and relative inequality by income decreased between 2008 and 2016 in women aged 30-59, except between 2014 and 2015. Conclusions: The recent anti-smoking policies in Korea resulted in a downward trend in smoking prevalence among men, but not in relative inequality, throughout the study period. Absolute inequality decreased over the study period among men aged 30-59. A more aggressive tax policy is warranted to further reduce socioeconomic inequalities in smoking in young adults in Korea.