2019
DOI: 10.1186/s12889-019-7835-5
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Socioeconomic inequalities in the prevalence of chronic diseases and preventive care among adults aged 45 and older in Shaanxi Province, China

Abstract: BackgroundMonitoring inequalities in chronic disease prevalence and their preventive care can help build effective strategies to improve health equality. Using hypertension and diabetes as a model, this study measures and decomposes socioeconomic inequalities in their prevalence and preventive care among Chinese adults aged 45 years and older in Shaanxi Province, an underdeveloped western region of China.MethodsData of 27,728 respondents aged 45 years and older who participated in the fifth National Health Ser… Show more

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Cited by 21 publications
(23 citation statements)
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“…We used the Wagstaff-type decomposition analysis of the concentration index [40] to examine the contribution of social determinants of inequality in hypertension. The method has been internationally accepted and has widely been used [41][42][43][44][45] to decompose inequalities across the full distribution of wealth index rather than between the richest and the poorest [37]. It allows for the overall concentration index to be decomposed into contributions of social determinants of health, in which each social determinant's contribution is obtained by multiplying the sensitivity of the outcome variable with respect to that determinant and the degree of wealthrelated inequality in that factor [37].…”
Section: Discussionmentioning
confidence: 99%
“…We used the Wagstaff-type decomposition analysis of the concentration index [40] to examine the contribution of social determinants of inequality in hypertension. The method has been internationally accepted and has widely been used [41][42][43][44][45] to decompose inequalities across the full distribution of wealth index rather than between the richest and the poorest [37]. It allows for the overall concentration index to be decomposed into contributions of social determinants of health, in which each social determinant's contribution is obtained by multiplying the sensitivity of the outcome variable with respect to that determinant and the degree of wealthrelated inequality in that factor [37].…”
Section: Discussionmentioning
confidence: 99%
“… 37–40 If there is no income-related inequality in health outcome, the concentration index will equal zero. 41 Moreover, the absolute value of the concentration index is larger, indicating a greater degree of income-related inequality in health outcome. 42 In addition, the formula used for calculating the concentration index can be written as: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}\begin{equation*}C = \frac{2}{\mu }{\mathop{\rm cov}} ({y_i},{r_i}i),\end{equation*}\end{document} where C is the concentration index, μ is the mean of health outcome indicator, y i is the health outcome indicator and r i is the fractional rank of household income.…”
Section: Methodsmentioning
confidence: 99%
“…The concentration index ranges from −1 to +1. [23][24][25][26] The concentration curve plots the cumulative proportion of inpatient service utilization on the y-axis against the cumulative proportion of the sample on the x-axis, ranked by household income per capita from the poorest to the richest. 27 When the concentration index takes a positive value, the concentration curve lies below the diagonal, which indicates that inpatient service utilization is more concentrated among the higherincome older people, and vice versa.…”
Section: Statistical Analysesmentioning
confidence: 99%