• Journal of Preventive Medicine and Public Health
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• v.40 no.6
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• pp.475-486
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• 2007

Objectives : Socioeconomic position (SEP) refers to the socioeconomic factors that influence which position an individual or group of people will hold within the structure of a society. In this study, we provide a comprehensive review of various indicators of SEP, including education level, occupation-based SEP, income and wealth, area SEP, life-course SEP, and SEP indicators for women, elderly and youth. Methods and results : This report provides a brief theoretical background and discusses the measurement, interpretation issues, advantages and limitations associated with the use of each SEP indicator. We also describe some problems that arise when selecting SEP indicators and highlight the indicators that appear to be appropriate for health inequality research. Some practical information for use in health inequality research in South Korea is also presented. Conclusions : Investigation into the associations between various SEP indicators and health outcomes can provide a more complete understanding of mechanisms between SEP and health. The relationship between specific SEP indicators and specific health outcomes can vary by country due to the differences in the historical, socioeconomic, and cultural contexts of the SEP indicators.

• Journal of Preventive Medicine and Public Health
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• v.42 no.2
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• pp.143-150
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• 2009

Objectives : South Korea has experienced unprecedented ups and downs in the sex ratio at birth(SRB), which has been a unique phenomenon in the last two decades. However, little is known about socioeconomic factors that influence the SRB. Employing the diffusion theory by Rogers, this study was undertaken to examine the trends in social variations in the SRB from 1981 to 2004 in Korea. Methods : The data was taken from Vital Birth Statistics for the period from 1981-2004. We computed the annual male proportion of live births according to the parental education(university, middle/high school, primary) and occupation(non-manual, manual, others). Logistic regression analysis was employed to estimate the odds ratios of male birth according to social position for the equidistant three time periods(1981-1984, 1991-1994, and 2001-2004). Results : An increased SRB was detected among parents with higher social position before the mid 1980s. Since then, however, a greater SRB was found for the less educated and manual jobholders. The inverse social gradient for the SRB was most prominent in early 1990s, but the gap has narrowed since the late 1990s. The mother's socioeconomic position could be a sensitive indicator of the social variations in the sex ratio at birth. Conclusions : Changes in the relationship of parental social position with the SRB were detected during the 1980-2004 in Korea. This Korean experience may well be explained by diffusion theory, suggesting there have been socioeconomic differences in the adoption and spread of sex-detection technology.

• 대한예방의학회:학술대회논문집
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• 2005.10a
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• pp.342-342
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• 2005

• Journal of Preventive Medicine and Public Health
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• v.38 no.3
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• pp.267-275
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• 2005

Evidence on the relation of socioeconomic position (SEP) with health and illness is mounting in South Korea. Several unlinked studies and individually linked studies (longitudinal study) showed a graded inverse relationship between SEP and mortality among South Korean males and females. Based on the mortality relative ratios by occupational class reported in the published papers of South Korea and western countries, the magnitude of the socioeconomic inequality in mortality in South Korea seems to be similar to or even greater than that in western industrialized countries. A potential contribution of health related selection, health behaviors and psychosocial factors to explain this socioeconomic inequality in mortality was discussed. It was suggested that early life exposure measures would demonstrate a greater ability to explain socioeconomic inequalities in all-cause mortality than the above pathway variables in South Korea. This is based on the cause-specific structure of mortality among the South Korean population who have a relatively greater proportion of stomach cancer, hemorrhagic stroke, liver cancer and liver disease, and tuberculosis, which share early life exposures as important elements of their etiology, than western countries. However, the relative contribution of early and later life socioeconomic conditions in producing socioeconomic inequality in health may differ according to the outcome, thus remains to be investigated.

• Korean Journal of Health Education and Promotion
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• v.26 no.1
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• pp.129-140
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• 2009

Objectives: This study aimed to examined the socioeconomic disparities in oral health related behaviors and to assess if those behaviors eliminate socioeconomic disparities in oral health in a nationally representative sample of adults aged 30-64. Methods: Data are from the Korea Third National Health and Nutrition Examination Survey (2005). Behaviors were indicated by smoking, over intake of daily calories from carbohydrate, perceived stress, frequency of daily tooth brushing, use of oral hygiene goods, insufficient oral treatment. Oral health outcomes were self-reported dental caries and periodontitis during the last 12 months and perceived oral health. Education, household income, and employed status indicated socioeconomic position. Sex, age, residential area, marital status were adjusted for in the logistic regression analysis. Logistic regression analysis was used to assess socioeconomic disparities in behaviors. Logistic regression model adjusting and not adjusting for behaviors were compared to assess the change in socioeconomic disparities in oral health. Results: Clear socioeconomic disparities in all behaviors were showed. After adjusting for behaviors, the association between oral health and socioeconomic indicators attenuated but did not disappear. For example, the odd ratios of reporting poorer oral health for persons in no education or elementary school education and middle school education groups, compared with college or higher education group, were 1.77 (95% CI: 1.36-2.29) and 1.56 (1.19-1.97), respectively. After adjusting for all indicators of behaviors, these odds ratios attenuated to 1.54 (1.17-2.03) and 1.48 (1.15-1.91) for those groups, respectively. Conclusion: These findings suggest that the presence of more complex determinants of socioeconomic disparities in oral health should be considered with developing preventive policies for those disparities.

• Journal of Preventive Medicine and Public Health
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• v.40 no.6
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• pp.431-438
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• 2007

Objectives : The aim of this study is to summarize the current conditions and implications of health inequalities in South Korea. Methods : Through a literature review of empirical studies and supplementary analysis of the data presented in the 1998, 2001, and 2005 KNHANEs, we evaluated the extent and trends of socioeconomic inequalities in both health risk factors, such as smoking, physical activity, and obesity, and outcomes, such as total mortality, subjective poor health status by self-reports and metabolic syndrome. Relative risks and odds ratios were used to measure differences across socioeconomic groups, and the relative index of inequality was used to evaluate the changes in inequalities over time. Results : We found clear inequalities to various degrees?in most health indicators. While little change was observed in mortality differences over time, the socioeconomic gaps in risk factors and morbidity have been widening, with much larger differences among the younger population. Conclusions : Socioeconomic inequalities are pervasive across various health indicators, and some of them are increasing. The trends in socioeconomic inequalities in health should be carefully monitored, and comprehensive measures to alleviate health inequalities are needed, especially for young populations.

• 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.

• Journal of Preventive Medicine and Public Health
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• v.40 no.5
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• pp.381-387
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• 2007

Objectives: This study was conducted in order to determine how the association between socioeconomic position(SEP) and health status changes with age among Seoul residents aged 25 and over. Methods: We utilized the 2001 and 2005 Seoul Citizens Health Indicators Surveys. We used self-rated 'poor' health status as an outcome variable, and family income as an indicator of SEP. In order to characterize the differential effects of socioeconomic position on health by age, we conducted separate multivariate analyses by 10-year age groups, controlling for sociodemographic covariates. In order to assess the relative health inequality across socioeconomic groups, we estimated the Relative Index of Inequality (RII). Results: The risk of 'poor health' is significantly high in low family income groups, and this increased risk is seen at all ages. However, the magnitude of relative socioeconomic inequality in health, as measured by the odds ratio and RII, is not identical across age groups. The difference in health across income groups is small in early adulthood (ages 25-34), but increases with age until relatively late in life (ages 35-64). It then decreases among the elderly population (ages more than 65). When the RII reported in 2005 is compared to that reported in 2001, RII can be seen to have increased across all ages, with the exception of individuals aged 25-34. Conclusions: The magnitude of health inequality is the greatest during mid- to late adulthood (ages 45-64). In addition, health inequalities have worsened between 2001 and 2005 across all age groups after economic crisis.

• Journal of Preventive Medicine and Public Health
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• v.39 no.4
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• pp.359-364
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• 2006

Objectives: The object of this study is to assess the relationship between socioeconomic factors and the predicted 10-year risk of cardiovascular disease by using health risk appraisal of ischemic heart disease. Methods: The study population was taken from The 2001 Korea National Health and Nutrition Survey, and it consisted of 1,566 men and 1,984 women aged 30-59. We calculated 10-year risk using the risk function of ischemic heart disease as developed by Jee. The educational level and equivalized household income were dichotomized by a 12 years education period and the median income level. Occupation was dichotomized into manual/non-manual work. We stratified the population by age(10 years) and sex, and then we rated the risk differences according to socioeconomic factors by performing t-tests for each strata. Results: There were gradients of the predicted 10-year risk of ischemic heart disease with the educational level and the equivalized household income, and thet was an increasing tendency of risk differences with age. Manual workers didn't show significant risk difference from non-manual workers. Conclusions: There was definite relationship between low socioeconomic position and the predicted risk of ischemic heart disease in the future.

• Journal of Preventive Medicine and Public Health
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• v.52 no.5
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• pp.281-291
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• 2019

Objectives: The validity of instruments measuring socioeconomic position (SEP) has been a major area of concern in research on cardiovascular health disparities. The purpose of this systematic review is to identify the current status of the methods used to measure SEP in research on cardiovascular health disparities in Korea and to provide directions for future research. Methods: Relevant articles were obtained through electronic database searches with manual searches of reference lists and no restriction on the date of publication. SEP indicators were categorized into compositional, contextual, composite, and life-course measures. Results: Forty-eight studies published from 2003 to 2018 satisfied the review criteria. Studies utilizing compositional measures mainly relied on a limited number of SEP parameters. In addition, these measures hardly addressed the time-varying and subjective features of SEP. Finding valid contextual measures at the organizational, community, and societal levels that are appropriate to Korea's context remains a challenge, and these are rarely modeled simultaneously. Studies have rarely focused on composite and life-course measures. Conclusions: Future studies should develop and utilize valid compositional and contextual measures and appraise social patterns that vary across time, place, and culture using such measures. Studies should also consider multilevel influences, adding a focus on the interactions between different levels of intertwined SEP factors to advance the design of research. More attention should be given to composite and life-course measures.