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Tufts University (2021)

Preventing Child Wasting : Generating evidence on the impact of multi-sectoral programming and wasting seasonality in Goz Beida, Chad

Marshak, Anastasia.

Titre : Preventing Child Wasting : Generating evidence on the impact of multi-sectoral programming and wasting seasonality in Goz Beida, Chad

Auteur : Marshak, Anastasia.

Université de soutenance  : Tufts University,

Grade : Doctor of Philosophy (PhD) 2021

Introduction partielle
Efforts on wasting have been slow with wasting prevalence in some contexts exceeding the emergency threshold of 15% even without a humanitarian emergency. The overall aim of this research is to contribute to our understanding of wasting prevention. The research looks at the impact and sustainability of multisectoral programming and the temporal distribution of wasting, helping our understanding of what programs needs to be put in place and when. Across all three studies the research focuses on children (6-59 months) in eastern Chad. Specific Aim 1 : The research looks at the sensitivity of seven nutrition indicators to a multisectoral intervention and different analysis approaches using panel data (2012, 2014, 2015) on 1420 households from a randomized control study. Using three regression models - a generalized linear model on cross-sectional cohorts of children ; a mixed-effects model on household panel data following the worst-off child in the household ; and a mixed-effects model on child panel data - the study found that children receiving the intervention had better nutrition outcomes. The child panel analysis showed the most robust results : the odds of a child being severely wasted was 76% lower (CI : 0.59-0.86, p=0.001), the odds of being underweight was 33% lower (CI : 0.15-0.48, p=0.012), and the weight for height z-score (WHZ) was 0.19 standard deviations higher (CI : 0.09-0.28, p=0.022) in the treatment versus control group. The study provides evidence for multisectoral interventions to tackle wasting and the value of panel child data. Specific Aim 2 : This research follows the same households evaluated in specific aim 1, but with a focus on the treatment communities two years (2017) after the cessation of the multisectoral intervention to evaluate program impact sustainability. The research uses the same three regression models as described under specific aim 1 across six nutrition indicators on 517 children between 2015 and 2017

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Page publiée le 9 juin 2021