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<Articles JournalTitle="Iranian Journal of Public Health">
  <Article>
    <Journal>
      <PublisherName>Tehran University of Medical Sciences</PublisherName>
      <JournalTitle>Iranian Journal of Public Health</JournalTitle>
      <Issn>2251-6085</Issn>
      <Volume>49</Volume>
      <Issue>9</Issue>
      <PubDate PubStatus="epublish">
        <Year>2020</Year>
        <Month>08</Month>
        <Day>24</Day>
      </PubDate>
    </Journal>
    <title locale="en_US">The Power of Multidimensional Poverty in Explaining Life  Expectancy: Empirical Evidence from Cross-Sectional Data of 62 Developing Countries</title>
    <FirstPage>1709</FirstPage>
    <LastPage>1717</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Khaled</FirstName>
        <LastName>TAFRAN</LastName>
        <affiliation locale="en_US">Department of Administrative Studies and Politics, Faculty of Economics and Administration, University of Malaya, 50603 Kuala Lumpur, Malaysia</affiliation>
      </Author>
      <Author>
        <FirstName>Makmor</FirstName>
        <LastName>TUMIN</LastName>
        <affiliation locale="en_US">Department of Administrative Studies and Politics, Faculty of Economics and Administration, University of Malaya, 50603 Kuala Lumpur, Malaysia</affiliation>
      </Author>
      <Author>
        <FirstName>Ahmad Farid</FirstName>
        <LastName>OSMAN</LastName>
        <affiliation locale="en_US">Department of Applied Statistics, Faculty of Economics and Administration, University of Malaya, 50603 Kuala Lumpur, Malaysia</affiliation>
      </Author>
    </AuthorList>
    <History>
      <PubDate PubStatus="received">
        <Year>2018</Year>
        <Month>06</Month>
        <Day>28</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2018</Year>
        <Month>11</Month>
        <Day>28</Day>
      </PubDate>
    </History>
    <abstract locale="en_US">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.
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Methods: Cross-sectional data from 62 developing countries were used to run several multivariate linear regressions. R2 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.
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Results: Adjusting for controls, both MPI (&#x3B2; =-0.245, P&lt;0.001) and IPG at 3.1 USD (&#x3B2;=-0.135, P=0.044) significantly correlates with LE, but not IPG at 1.9 USD (&#x3B2;=-0.147, P=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 (&#x3B2;=-0.210, P&lt;0.001) than male (&#x3B2;=-0.177, P&lt;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.
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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.</abstract>
    <web_url>https://ijph.tums.ac.ir/index.php/ijph/article/view/13864</web_url>
    <pdf_url>https://ijph.tums.ac.ir/index.php/ijph/article/download/13864/6979</pdf_url>
  </Article>
</Articles>
