title: Associations of income and wealth with health status in the Korean elderly.
abstract: OBJECTIVE
  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.
authors.affiliation: Department of Health Policy and Management, Seoul National University School of Public Health, Seoul, Korea.
authors.forename: Bo Hyun
authors.initials: BH
authors.lastname: Park
authors.forename: Minsoo
authors.initials: M
authors.lastname: Jung
authors.forename: Tae Jin
authors.initials: TJ
authors.lastname: Lee
mesh_terms: D000203:Activities of Daily Living; D000368:Aged; D000375:Aging; D005260:Female; D006304:Health Status; D054624:Health Status Disparities; D006801:Humans; D007182:Income / Q000706:statistics & numerical data*; D007723:Korea / Q000453:epidemiology; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D012959:Socioeconomic Factors