Trends in socio-economic, sex and geographic disparities in childhood underweight in Mauritania: evidence from Multiple Indicator Cluster Surveys (2007–2015)

Author:

Shibre Gebretsadik1,Zegeye Betregiorgis2,Ahinkorah Bright Opoku3,Seidu Abdul-Aziz45ORCID,Ameyaw Edward Kwabena3,Keetile Mpho6,Yaya Sanni7ORCID

Affiliation:

1. Department of Reproductive, Family and Population Health, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia

2. HaSET Maternal and Child Health Research Program, Addis Ababa, Ethiopia

3. School of Public Health, Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia

4. Department of Population and Health, University of Cape Coast, Cape Coast, Ghana

5. College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, QLD, Australia

6. Department of Population Studies and Demography, University of Botswana, Gaborone, Botswana

7. University of Parakou, Faculty of Medicine, Parakou, Benin

Abstract

Abstract Background Underweight is one of the largest contributors to child morbidity and mortality and is considered to be the largest contributor to the global burden of diseases in low-and middle-income countries. In Mauritania, where one-fifth of children are underweight, there is a dearth of evidence on socio-economic, sex and geographic disparities in childhood underweight. As a result, this study aimed at investigating the socio-economic, sex and geographic disparities in childhood underweight in Mauritania. Methods Using the World Health Organization's (WHO) Health Equity Assessment Toolkit (HEAT) software, data from the Mauritania Multiple Indicator Cluster Surveys (MICSs) conducted between 2007 and 2015 were analysed. Childhood underweight was disaggregated by five equity stratifiers: education, wealth, residence, region and sex. In addition, absolute and relative inequality measures, namely difference (D), population attributable risk (PAR), ratio (R) and population attributable fraction (PAF) were calculated to understand inequalities from wider perspectives. Corresponding 95% confidence intervals (CIs) were computed to measure statistical significance. Results Substantial absolute and relative socio-economic, sex and geographic disparities in underweight were observed from 2007 to 2015. Children from the poorest households (PAR=−12.66 [95% CI −14.15 to −11.16]), those whose mothers were uneducated (PAF=−9.11 [95% CI −13.41 to −4.81]), those whose mothers were rural residents (R=1.52 [95% CI 1.37 to 1.68]), residents of HodhCharghy (PAF=−66.51 [95% CI −79.25 to −53.76]) and males (D=4.30 [95% CI 2.09 to 6.52]) experienced a higher burden of underweight. Education-related disparities decreased from 2007 to 2015. The urban–rural gap in underweight similarly decreased over time with the different measures showing slightly different reductions. Wealth-driven disparities decreased marginally from 2011 to 2015. The sex-based and regional disparities increased, at least on average, over the 8-y intersurvey period. Conclusions The burden of underweight was significantly higher among children from disadvantaged subpopulations, those with uneducated and poorest/poor mothers, those living in rural areas and those living in HodhCharghy. Special nutrition intervention and efforts focused on these deprived subpopulations are required to reduce childhood morbidity and mortality associated with underweight and help achieve the Sustainable Development Goals.

Funder

WHO

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health,General Medicine,Health(social science)

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