Min-Jeong Oh1, Yun-Jin Kim2, Jeong-Gyu Lee2, Yu-Hyeon Yi1, Young-Jin Tak1, Hye-Rim Hwang1, Seung-Hoon Lee1

1Department of Family Medicine, Pusan National University Hospital, Busan, Korea 2Department of Family Medicine, Pusan National University School of Medicine, Yangsan, Korea


Background: Income is a major socioeconomic index, and low household income is known to negatively affect health. Nevertheless, there is a lack of research on the health status and health behavior of middle-aged and older women with low-income. This study aims to provide basic information on the health status and health behavior of low-income women, using data representative of South Koreans.
Methods: This cross-sectional study used data from the 6th Korea National Health and Nutrition Examination Survey. Among the total of 8,018 respondents, 2,713 women aged 35 years or older were enrolled in the study. The subjects were classified by income status based on standard household income quartiles.
Results: The low-income group showed the lowest education levels and the highest unemployment rate (P<0.001). The percentage of smokers was the highest, while the frequency of exercise was the lowest in this group (P<0.001). The incidence of hyperlipidemia was highest (P=0.028), and they showed the highest body mass index, waist circumference (P<0.001), blood pressure, fasting blood glucose (P=0.018), and triglyceride level (P=0.03), as well as the lowest high density lipoprotein level (P=0.039), and the highest risk of cardiovascular diseases (P=0.002). Additionally, perceived health status was negative and quality of life was lowest among the groups (P<0.001). Although the enrollment rate for free health check-up services was highest (P=0.007), subscription to private health insurance, adult health check-ups, cancer screening rate were all lowest of the groups.
Conclusions: This study confirmed a health gap among middle-aged and elderly women of low income, compared to higher income groups.
Korean J Health Promot 2017;17(1):20-30

Keywords: Income, Female, Health behavior, Health status