Objectives The purpose of this study was to estimate the mediating effect of subjective unmet healthcare needs on poor health. The mediating effect of unmet needs on health outcomes was estimated.
Methods Cross-sectional research method was used to analyze Korea Health Panel data from 2011 to 2015, investigating the mediating effect for each annual dataset and lagged dependent variables.
Results The magnitude of the effect of low income on poor health and the mediating effect of unmet needs were estimated using age, sex, education level, employment status, healthcare insurance status, disability, and chronic disease as control variables and selfrated health as the dependent variable. The mediating effect of unmet needs due to financial reasons was between 14.7% to 32.9% of the total marginal effect, and 7.2% to 18.7% in lagged model.
Conclusions The fixed-effect logit model demonstrated that the existence of unmet needs raised the likelihood of poor self-rated health. However, only a small proportion of the effects of low income on health was mediated by unmet needs, and the results varied annually. Further studies are necessary to search for ways to explain the varying results in the Korea Health Panel data, as well as to consider a time series analysis of the mediating effect. The results of this study present the clear implication that even though it is crucial to address the unmet needs, but it is not enough to tackle the income related health inequalities.
Summary
Korean summary
이 연구에서는 2011년부터 2015년까지의 한국의료패널 자료를 이용하여 미충족의료과 불건강의 관련성을 살펴보고, 불건강을 매개하는 미충족의료의 크기를 추정했다. 미충족의료는 개인고정효과를 보정하였을 때 불건강에 유의한 영향 준다는 것을 확인할 수 있었고, 미충족의료가 매개하는 저소득의 건강 효과는 저소득이 불건강에 미치는 전체 효과 중 일부에 지나지 않았으며, 효과의 크기는 분석 연도 별로 일정하지 않게 나타났다. 이는 건강불평등을 줄이기 위한 정책 개입에서 미충족의료 해소가 유의미한 정책 목표로 가치가 있지만 그 한계 또한 명확하다는 것을 의미한다.
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Objectives To investigate concordance in the health behaviors of women and their partners according to age and to investigate whether there was a stronger correlation between the health behaviors of housewives and those of their partners than between the health behaviors of non-housewives and those of their partners.
Methods We used data obtained from women participants in the 2015 Korea Community Health Survey who were living with their partners. The outcome variables were 4 health behaviors: smoking, drinking, eating salty food, and physical activity. The main independent variables were the partners’ corresponding health behaviors. We categorized age into 4 groups (19-29, 30-49, 50-64, and ≥ 65 years) and utilized multivariate logistic regression analysis, stratifying by age group. Another logistic regression analysis was stratified by whether the participant identified as a housewife.
Results Data from 64 971 women older than 18 years of age were analyzed. Of the 4 health behaviors, the risk of smoking (adjusted odds ratio [aOR], 4.65; 95% confidence interval [CI], 3.93 to 5.49) was highest when the participant’s partner was also a smoker. Similar results were found for an inactive lifestyle (aOR, 2.56; 95% CI, 2.45 to 2.66), eating salty food (aOR, 2.48; 95% CI, 2.36 to 2.62); and excessive drinking (aOR, 1.89; 95% CI, 1.80 to 1.98). In comparison to non-housewives, housewives had higher odds of eating salty food.
Conclusions The health behaviors of women were positively correlated with those of their partners. The magnitude of the concordance differed by age group.
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