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本文引用的文献

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Impact of Socio-Health Factors on Life Expectancy in the Low and Lower Middle Income Countries.社会健康因素对低收入和中低收入国家预期寿命的影响
Iran J Public Health. 2013 Dec;42(12):1354-62.
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Income inequality and health: a causal review.收入不平等与健康：因果关系述评。
Soc Sci Med. 2015 Mar;128:316-26. doi: 10.1016/j.socscimed.2014.12.031. Epub 2014 Dec 30.
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Multidimensional poverty and health: evidence from a nationwide survey in Japan.多维贫困与健康：来自日本全国性调查的证据
Int J Equity Health. 2014 Dec 19;13:128. doi: 10.1186/s12939-014-0128-9.
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Social determinants of health, universal health coverage, and sustainable development: case studies from Latin American countries.社会决定因素对健康的影响、全民健康覆盖与可持续发展：来自拉丁美洲国家的案例研究。
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Relative importance of demographic, socioeconomic and health factors on life expectancy in low- and lower-middle-income countries.人口统计学、社会经济和健康因素对低及中低收入国家预期寿命的相对重要性。
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Democratization and life expectancy in Europe, 1960-2008.民主化与欧洲的预期寿命，1960-2008 年。
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Political and social determinants of life expectancy in less developed countries: a longitudinal study.欠发达国家预期寿命的政治和社会决定因素：一项纵向研究。
BMC Public Health. 2012 Jan 27;12:85. doi: 10.1186/1471-2458-12-85.
8
Is wealthier always healthier? The impact of national income level, inequality, and poverty on public health in Latin America.富裕是否总是意味着更健康？国民收入水平、不平等和贫困对拉丁美洲公共卫生的影响。
Soc Sci Med. 2010 Jul;71(2):266-273. doi: 10.1016/j.socscimed.2010.04.002. Epub 2010 Apr 24.
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Multidimensional poverty: an alternative measurement approach for the United States?多维贫困：美国的一种替代衡量方法？
Soc Sci Res. 2008 Jun;37(2):559-80. doi: 10.1016/j.ssresearch.2007.06.013.
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Income inequality and population health: a review and explanation of the evidence.收入不平等与人口健康：证据综述与解读
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多维贫困在解释预期寿命方面的作用：来自62个发展中国家横断面数据的实证证据。

The Power of Multidimensional Poverty in Explaining Life Expectancy: Empirical Evidence from Cross-Sectional Data of 62 Developing Countries.

作者信息

Tafran Khaled, Tumin Makmor, Osman Ahmad Farid

机构信息

Department of Administrative Studies and Politics, Faculty of Economics and Administration, University of Malaya, 50603 Kuala Lumpur, Malaysia.

Department of Applied Statistics, Faculty of Economics and Administration, University of Malaya, 50603 Kuala Lumpur, Malaysia.

出版信息

Iran J Public Health. 2020 Sep;49(9):1709-1717. doi: 10.18502/ijph.v49i9.4088.

DOI:10.18502/ijph.v49i9.4088
PMID:33643946
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7898095/
Abstract

BACKGROUND

We examined whether multidimensional poverty index (MPI) explained variations in life expectancy (LE) better than income poverty; and assessed the relative importance of MPI indicators in influencing LE.

METHODS

Cross-sectional data from 62 developing countries were used to run several multivariate linear regressions. R was used to compare the powers of MPI with income-poverties (income poverty gaps [IPG] at 1.9 and 3.1 USD) in explaining LE.

RESULTS

Adjusting for controls, both MPI (β =-0.245, <0.001) and IPG at 3.1 USD (β=-0.135, =0.044) significantly correlates with LE, but not IPG at 1.9 USD (β=-0.147, =0.135). MPI explains 12.1% of the variation in LE compared to only 3.2% explained by IPG at 3.1 USD. The effect of MPI on LE is higher on female (β=-0.210, <0.001) than male (β=-0.177, <0.001). The relative influence of the deprivation indictors on LE ranks as follows (most to least): Asset ownership, drinking water, cooking fuel, flooring, child school attendance, years of schooling, nutrition, mortality, improved sanitation, and electricity.

CONCLUSION

Interventions to reduce poverty and improve LE should be guided by MPI, not income poverty indices. Such policies should be female-oriented and prioritized based on the relative influence of the various poverty deprivation indicators on LE.

摘要

背景

我们研究了多维贫困指数（MPI）是否比收入贫困更能解释预期寿命（LE）的差异；并评估了MPI指标对预期寿命影响的相对重要性。

方法

使用来自62个发展中国家的横断面数据进行多项多元线性回归。使用R来比较MPI与收入贫困（1.9美元和3.1美元的收入贫困差距[IPG]）在解释预期寿命方面的能力。

结果

在调整了控制因素后，MPI（β = -0.245，<0.001）和3.1美元的IPG（β = -0.135，= 0.044）与预期寿命显著相关，但1.9美元的IPG（β = -0.147，= 0.135）与预期寿命无显著相关性。MPI解释了预期寿命变化的12.1%，而3.1美元的IPG仅解释了3.2%。MPI对女性预期寿命的影响（β = -0.210，<0.001）高于男性（β = -0.177，<0.001）。贫困指标对预期寿命的相对影响排名如下（从高到低）：资产所有权、饮用水、烹饪燃料、地板、儿童入学率、受教育年限、营养、死亡率、改善的卫生设施和电力。

结论

减少贫困和提高预期寿命的干预措施应以MPI为指导，而不是收入贫困指数。此类政策应以女性为导向，并根据各种贫困剥夺指标对预期寿命的相对影响进行优先排序。