Maternal undernutrition as proxy indicators of their offspring's undernutrition: evidence from 2011 Ethiopia demographic and health survey

BMC Nutrition
Alinoor Mohamed FarahSeifu Hagos Gebreyesus

Abstract

The intergenerational continuity of undernutrition is influenced by shared genetic, household socio-economic and cultural resources which will be associated with the mother and the child nutritional status, possibly to the same degree. Provided that this assumption is valid, maternal height and BMI could be a simple way of measuring nutritional status of their children. Data were obtained from the 2011 Ethiopia Demographic and Health Survey (EDHS 2011). An analytical sample of 8, 505 children whose mothers are not pregnant and live with their biological mothers was included. The bivariate associations between nutritional indices of the mother and the children were analyzed with Pearson correlation coefficients. The sensitivity, specificity, predictive values and area under Roc curves were calculated. Logistics regression for binary outcomes was also used to evaluate the predictors of child undernutrition. Children who experienced stunting, underweight or wasting had mothers with lower mean BMI than those who did not (p < 0.001). Maternal and child nutritional status were positively correlated. The sensitivity of maternal underweight (defined by BMI < 18.5 kg/m2) as a predictor of child's nutritional status (<- 2 z-scores) is lo...Continue Reading

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Citations

Mar 11, 2020·International Journal of Environmental Research and Public Health·Seman K OusmanMekdes K Gebremariam
May 20, 2020·Journal of Public Health·Betregiorgis ZegeyeSanni Yaya
Aug 26, 2020·Maternal & Child Nutrition·Arnaud LaillouStanley Chitekwe
Aug 28, 2020·The American Journal of Clinical Nutrition·Hana TasicZulfiqar A Bhutta
Jan 16, 2021·PloS One·Alinoor Mohamed FarahSeifu Hagos Gebreyesus
Apr 15, 2021·Archives of Disease in Childhood. Fetal and Neonatal Edition·Priscilla Ming Yi LeeJiong Li
Jul 3, 2021·Nutrients·Kedir Y Ahmed On Behalf Of The Global Maternal And Child Health Research Collaboration GloMACH

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Software Mentioned

Stata
CSPro
SPSS
SAS

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