Socio-economic Inequality in Stunting among Children Aged 6-59 Months in a Ugandan Population Based Cross-sectional Study

Stunting, decidedly prevalent in Ethiopia, is a reduction of linear growth associated with a series of adverse consequences. However, little is known about its determinants and factors associated in Ethiopia and elsewhere. Therefore, this study aimed to determine major undelying factors associated with risk of stunting among underfive children in Ethiopia. We used the 2016 Ethiopian Demographic and Heath Survey (EDHS) data and analysed a total of 11,023 children aged 0-59 months' data. Bivariate and multivariate logistic regression were fitted to identify key predictors and factors associated with stunting. Results show that, household and demographic factors such as maternal education (AOR: 0.67, 95% CI: 0.51, 0.89), wealth index (AOR: 0.65 (0.54, 0.78), sex of child (AOR: 0.78 (0.72, 0.85), possession of refrigerator (AOR: 0.57 (0.36, 0.89), possession of television and others like twin birth, house main floor material, types of cooking fuel were significantly association with stunting. Among dietary factors, early initiation of breast feeding; feeding powdered or fresh milk (AOR: 0.63 (0.52, 0.76); formula feeding (AOR: 0.41 (0.21, 0.81); consumption of organ meat(s) (AOR: 0.52 (0.32, 0.85) and beta-carotene rich fruits and vegetables were significantly associated lower odds of stunting. Antenatal care (ANC) follow-up, deworming during pregnancy (AOR : 0.11 (0.02, 0.74), institutional delivery (AOR : 0.64 (0.58, 0.71) and birth size (AOR: 5.1 (1.64, 15.88) were among the health care factors associated with stunting of under-five children. In conclusion, stunting is modulated by several household, dietary and healthcare factors, both at household and community-level. Likewise; improving household income, women empowerment, dietary diversity among mothers and children and improving maternal health care system are critical to mitigate under-five stunting more rapidly.

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Inequalities in childhood stunting: evidence from Sudan multiple indicator cluster surveys (2010–2014)

Wogderes¹,

Shibre

Zegeye³

2022

BMC Public Health

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Background Leaving no one behind has been an important marker of the Sustainable Development Goals. Closing the gap in malnutrition between children of different backgrounds aligns well with the tenet of this international agenda. To this end, high-quality evidence of the magnitude and trends of socioeconomic and geographic related existing inequalities in the childhood stunting among Sudanese children emanate from this study help for policy maker and planners to design and implement effective interventions to narrow down inequality. Methods We used the World Health Organization’s (WHO) Health Equity Assessment Toolkit (HEAT) for our analysis of stunting inequality. Following standard equity analysis methods recommended by the WHO, we performed the disaggregated analysis of stunting across five equity stratifiers: Wealth, education, residence, sex, and sub-national regions. Then, we summarized stunting inequality through four measures of inequality: Difference, Ratio, Slope Index of Inequality (SII), and Relative Index of Inequality (RII). The point estimates of stunting were accompanied by 95% confidence intervals to measure the statistical significance of the findings. Results In this study, the national average childhood stunting prevalence was increased by 4% from 2010 to 2014. The findings revealed stark inequalities in stunting in all the studied dimensions of inequality. Huge inequality has existed along the wealth quintiles. Simple difference measure for education was increased by four points and simple relative measure decreased by one point for economic status. Conclusions Sex, residence and, geographically related inequalities remain unchanged over time, while economic status and educational inequality had seen a change by some inequality measures over the same time period.

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Socio-economic Inequality in Stunting among Children Aged 6-59 Months in a Ugandan Population Based Cross-sectional Study

Cited by 4 publications

References 25 publications

Determination of Priority Locus of Handling Stunting and Regional-Based Stunting Management Strategies in Serang City

Determination of Priority Locus of Handling Stunting and Regional-Based Stunting Management Strategies in Serang City

Household, dietary and healthcare factors predicting childhood stunting in Ethiopia

Inequalities in childhood stunting: evidence from Sudan multiple indicator cluster surveys (2010–2014)

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