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Social inequality in infant mortality: What explains variation across low and middle income countries?

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  • Hajizadeh, Mohammad
  • Nandi, Arijit
  • Heymann, Jody

Abstract

Growing work demonstrates social gradients in infant mortality within countries. However, few studies have compared the magnitude of these inequalities cross-nationally. Even fewer have assessed the determinants of social inequalities in infant mortality across countries. This study provides a comprehensive and comparative analysis of social inequalities in infant mortality in 53 low-and-middle-income countries (LMICs). We used the most recent nationally representative household samples (n = 874,207) collected through the Demographic Health Surveys (DHS) to calculate rates of infant mortality. The relative and absolute concentration indices were used to quantify social inequalities in infant mortality. Additionally, we used meta-regression analyses to examine whether levels of inequality in proximate determinants of infant mortality were associated with social inequalities in infant mortality across countries. Estimates of both the relative and the absolute concentration indices showed a substantial variation in social inequalities in infant mortality among LMICs. Meta-regression analyses showed that, across countries, the relative concentration of teenage pregnancy among poorer households was positively associated with the relative concentration of infant mortality among these groups (beta = 0.333, 95% CI = 0.115 0.551). Our results demonstrate that the concentration of infant deaths among socioeconomically disadvantaged households in the majority of LMICs remains an important health and social policy concern. The findings suggest that policies designed to reduce the concentration of teenage pregnancy among mothers in lower socioeconomic groups may mitigate social inequalities in infant mortality.

Suggested Citation

  • Hajizadeh, Mohammad & Nandi, Arijit & Heymann, Jody, 2014. "Social inequality in infant mortality: What explains variation across low and middle income countries?," Social Science & Medicine, Elsevier, vol. 101(C), pages 36-46.
  • Handle: RePEc:eee:socmed:v:101:y:2014:i:c:p:36-46
    DOI: 10.1016/j.socscimed.2013.11.019
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    2. Makate, Marshall & Makate, Clifton, 2016. "The Evolution of Socioeconomic-Related Inequalities in Maternal Healthcare Utilization: Evidence from Zimbabwe, 1994-2011," MPRA Paper 83897, University Library of Munich, Germany, revised 12 Jan 2018.
    3. Clifton Makate & Marshall Makate & Nelson Mango, 2019. "Wealth-related inequalities in adoption of drought-tolerant maize and conservation agriculture in Zimbabwe," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(4), pages 881-896, August.
    4. Shaobin Wang & Zhoupeng Ren, 2019. "Spatial variations and macroeconomic determinants of life expectancy and mortality rate in China: a county-level study based on spatial analysis models," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(5), pages 773-783, June.
    5. Makate, Clifton & Mango, Nelson & Makate, Marshall, 2019. "Socioeconomic status connected imbalances in arable land size holding and utilization in smallholder farming in Zimbabwe: Implications for a sustainable rural development," Land Use Policy, Elsevier, vol. 87(C).

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