• The Korean Journal of Community Living Science
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• v.24 no.1
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• pp.37-49
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• 2013

The purpose of this study is to explore how health and health behavior factors moderate the relation between socio-economic position(SEP) and Korean elderly people's self-rated health status. The data sources are from the Korean Longitudinal Study of Aging(2008). The analysis sample consists of 4,040 cases. Analysis of the results shows that health characteristics such as ADL, MMSE, geriatric depression, and pain are significant predictors of self-rated health status. In addition, exercise and drinking alcohol also prove to be factors influencing self-rated health status. Health factor such as MMSE and health behavior factors such as drinking alcohol served as moderators of the influences of SEP on one's self-rated health status. For example, higher MMSE provides a slight increase to the positive relationship between SEP and self-rated health status. In addition, those who responded yes to drinking alcohol, compared to those who responded no, provides an increase to the positive relationship between SEP and one's self-rated health status.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.3
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• pp.1669-1676
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• 2013

Background: Variation in cancer incidence in geographical locations is due to different lifestyles and risk factors. Diet and socio-economic position (SEP) have been identified as important for the etiology of cancer but patterns are changing and inconsistent. The aim of this study was to investigate correlations of the incidence of common cancers with food groups, total energy, smoking, and SEP. Materials and Methods: In an ecological study, disaggregated cancer data through the National Cancer Registry in Iran (2008) and dietary intake, smoking habits and SEP obtained through a population based survey within the Urban Health Equity Assessment (Urban-HEART) project were correlated across 22 districts of Tehran. Results: Consumption of fruit, meat and dairy products adjusted for energy were positively correlated with bladder, colorectal, prostate and breast and total cancers in men and women, while these cancers were adversely correlated with bread and fat intake. Also prostate, breast, colorectal, bladder and ovarian cancers had a positive correlation with SEP; there was no correlation between SEP and skin cancer in both genders and stomach cancer in men. Conclusions: The incidence of cancer was higher in some regions of Tehran which appeared to be mainly determined by SEP rather than dietary intake. Further individual data are required to investigate reasons of cancer clustering.

• 한국노년학
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• v.34 no.2
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• pp.349-367
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• 2014

The purpose of this study is to investigate the relationships between socio-economic position(SEP), environmental exposures, and health of older people in Korea. This study used the data from 'Environmental Exposures and Their Health Effect in Korean Elderly Population'. The sample includes a total of 563 elderly people who were 60 years of age or older. Data on SEP, environmental exposure, and health impact were collected and analyzed using descriptive statistics and multivariate regressions. As a result, study participants' SEP including age, family type, monthly expenditure, type of house, and region was significantly associated with environmental exposure. Also, while adjusting for SEP, environmental exposure such as allowing indoor smoking was associated with self-rated health and depression of study participants. The study findings showed inequality in environmental exposure and health outcomes by SEP in Korean elderly. Environmental exposure was associated with health outcome even after adjusting SEP, and this implied that environmental exposure could be a critical factor in explaining heath inequality by SEP. Further studies are necessary to better understand the causal relationships among SEP, environmental exposure, and health outcomes.

• Journal of Preventive Medicine and Public Health
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• v.40 no.5
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• pp.345-350
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• 2007

Objectives: To determine the disparity in the rate people undergo health examinations according to socioeconomic position (SEP) and the changes in this disparity with time. Methods: Seoul citizens' health profile data from 1997 to 2005 were analyzed. The study subjects were 40 years old and over, and the total number of subjects was 6,601 in 1997, 8,994 in 2001, and 8,819 in 2005. Those aged 60 years and over were eliminated from the analysis of subjects' occupation. We used education, family income and occupation as indicators of SEP. The age-standardized health examination attendance rate for each year was calculated according to the education, family income and occupation. The odds ratios (ORs) from multiple logistic regressions were adjusted for age. Results: The disparity in the rate of attendance according to the SEP decreased from 1997 to 2005 but still existed. Even though the disparities among the subgroups according to education, family income and occupation were not that high, the disparity between the group with the highest SEP and the other groups was considerable. Conclusions: Our findings suggest that unequal access to health examination services according to socioeconomic position still exists. This disparity has decreased recently but the disparity according to level of education was the greatest.

• Journal of Preventive Medicine and Public Health
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• v.42 no.5
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• pp.275-282
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• 2009

Objectives : This study aimed to verify the association between wealth or income level and health status after adjusting for other socio-economic position (SEP) indicators among Korean adults aged 45 and over. Methods : Data were obtained from the 1st wave of Korean Longitudinal Study of Ageing (households: 6,171, persons: 10,254). We used self-rated health status and activities of daily living (ADLs) as dependent variables. Explanatory variables included both net wealth measured by savings, immovables, the other valuated assets and total income including pay, transfer, property and so on. Binary logistic regression was conducted to examine the relationships. Also, in order to determine the relative health inequality across economic groups, we estimated the relative index of inequality (RII). Results : The inequality of health status was evident among various wealth and income groups. The wealthiest group (5th quintile) was much healthier than the poorest group, and this differential increased with age. Likewise, higher income was associated with better health status among the elderly. However, these effects, as measured by the odds ratio and RII, showed that wealth was more important in determining health status of elderly people. Conclusions : This study suggests that economic capability plays a significant role in determining the health status and other health-related problems among the elderly. Particularly, our results show that health status of the aged is related more closely to the individual s wealth than income.