Sustained nutrition impact of a multisectoral intervention program two years after completion.
Anastasia MarshakHelen YoungAnne RaddayElena N NaumovaPublished in: Maternal & child nutrition (2020)
Progress on the nutrition Sustainable Development Goals has been slow. More attention is needed on the 'sustainable' part, focused on impact lasting beyond programme implementation. To determine sustained impact of a multisectoral nutrition intervention that provided water, sanitation, hygiene, livelihood, health and nutrition support (2013-2015) in eastern Chad, we utilize longitudinal household data collected 2 years (2017) after the intervention ended. Between 2013 and 2015, children (6-59 months) in the multisectoral intervention were less likely to be severely wasted, underweight and had a higher weight-for-height z-score (WHZ) compared with the control. To measure sustained programme impact, we use data on six nutrition indicators from 517 children between 2015 and 2017. We ran three models: a generalized linear model on cross-sectional child cohorts; a mixed-effects model on household panel data; and a mixed-effects model on child panel data. For children who were born during the programme, we saw significant improvement in underweight, weight for age z-scores (WAZs) and height-for-age z-scores (HAZs). Boys 6-23 months born after the end of the programme, on the other hand, were significantly more likely to be underweight or wasted and had lower WHZ and WAZ compared with boys born during the programme and girls born during and after the programme. Corresponding to the literature from sub-Saharan Africa, boys appear to be more vulnerable to malnutrition, which might be why they are more sensitive to programme cessation. Future monitoring, evaluations and research need to consider impact sustainability and that it might not be homogeneous across age and gender.
Keyphrases
- physical activity
- study protocol
- randomized controlled trial
- body mass index
- electronic health record
- cross sectional
- mental health
- young adults
- big data
- gestational age
- healthcare
- low birth weight
- public health
- primary care
- systematic review
- clinical trial
- risk assessment
- working memory
- deep learning
- preterm birth
- artificial intelligence
- social media
- drinking water
- neural network