دورية أكاديمية
A distributional regression approach to income-related inequality of health in Australia.
| العنوان: | A distributional regression approach to income-related inequality of health in Australia. |
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| المؤلفون: | Kessels R; Department of Data Analytics and Digitalization, Maastricht University, PO Box 616, Maastricht, 6200, MD, The Netherlands. r.kessels@maastrichtuniversity.nl.; Department of Economics, University of Antwerp, City Campus, Prinsstraat 13, Antwerp, 2000, Belgium. r.kessels@maastrichtuniversity.nl., Hoornweg A; School of Economics, University of Amsterdam, PO Box 15867, Amsterdam, 1001, NJ, The Netherlands., Thanh Bui TK; Department of Economics, University of Antwerp, City Campus, Prinsstraat 13, Antwerp, 2000, Belgium.; School of Economics, Can Tho University, Campus II, 3/2 Street, Can Tho City, Vietnam., Erreygers G; Department of Economics, University of Antwerp, City Campus, Prinsstraat 13, Antwerp, 2000, Belgium.; Centre for Health Policy, University of Melbourne, Bouverie Street 207, Carlton, Victoria, 3010, Australia. |
| المصدر: | International journal for equity in health [Int J Equity Health] 2020 Jun 22; Vol. 19 (1), pp. 102. Date of Electronic Publication: 2020 Jun 22. |
| نوع المنشور: | Comparative Study; Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: BioMed Central Country of Publication: England NLM ID: 101147692 Publication Model: Electronic Cited Medium: Internet ISSN: 1475-9276 (Electronic) Linking ISSN: 14759276 NLM ISO Abbreviation: Int J Equity Health Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: [London] : BioMed Central, 2002- |
| مواضيع طبية MeSH: | Health Status* , Regression Analysis* , Socioeconomic Factors* , Statistical Distributions*, Healthcare Disparities/*statistics & numerical data , Income/*statistics & numerical data , Poverty/*statistics & numerical data, Australia ; Humans ; Surveys and Questionnaires |
| مستخلص: | Background: Several studies have confirmed the existence of a significant positive relationship between income and health. Conventional regression techniques such as Ordinary Least Squares only help identify the effect of the covariates on the mean of the health variable. In this way, important information of the income-health relationship could be overlooked. As an alternative, we apply and compare unconventional regression techniques. Methods: We adopt a distributional approach because we want to allow the effect of income on health to vary according to people's health status. We start by analysing the income-health relationship using a distributional regression model that falls into the GAMLSS (Generalized Additive Models for Location, Scale and Shape) framework. We assume a gamma distribution to model the health variable and specify the parameters of this distribution as linear functions of a set of explanatory variables. For comparison, we also adopt a quantile regression analysis. Based on predicted health quantiles, we use both a parametric and a non-parametric approach to estimate the lower tail of the health distribution. Results: Our data come from Wave 13 of the Household, Income and Labour Dynamics in Australia (HILDA) survey, collected in 2013-2014. According to GAMLSS, we find that the risk of ending up in poor, fair or average health is lower for those who have relatively high incomes ($80,000) than for those who have relatively low incomes ($20,000), for both smokers and non-smokers. In relative terms, the risk-lowering effect of income appears to be the largest for those who are in poor health, again for both smokers and non-smokers. The results obtained on the basis of quantile regression are to a large extent comparable to those obtained by means of GAMLSS regression. Conclusions: Both distributional regression techniques point in the direction of a non-uniform effect of income on health, and are therefore promising complements to conventional regression techniques as far as the analysis of the income-health relationship is concerned. |
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| فهرسة مساهمة: | Keywords: Distributional regression; GAMLSS; Quantile regression; Socioeconomic health inequality |
| تواريخ الأحداث: | Date Created: 20200624 Date Completed: 20201026 Latest Revision: 20201026 |
| رمز التحديث: | 20221213 |
| مُعرف محوري في PubMed: | PMC7310143 |
| DOI: | 10.1186/s12939-020-01189-1 |
| PMID: | 32571408 |
| قاعدة البيانات: | MEDLINE |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 1475-9276 |
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| DOI: | 10.1186/s12939-020-01189-1 |