Community Clustering of Food Insecurity and Malnutrition Associated With Systemic Drivers in Chad.

BACKGROUND: Chad suffers from protracted hunger, facing high food insecurity (Integrated Food Security Phase Classification 3 and above), and acute malnutrition levels that surpass the emergency threshold (15% global acute malnutrition) yearly. The Food Security Sector, with European Union support, leads an inclusive effort to increase synergy between humanitarian, development, and peace-building actors to understand and address drivers of hunger. OBJECTIVE: To understand the spatial distribution of child wasting and household food insecurity and systemic drivers (conflict, livelihoods, vegetation, cultural norms) as well as better understand the relationship between child wasting and household food insecurity in Kanem and Bahr el Ghazal (BeG) region, Chad, with the goal of improving nexus programming and targeting. METHODS: A cross-sectional randomized cluster survey was conducted in August 2021 in Kanem and BeG across 86 villages, reaching 7002 households and 6136 children. Data were collected on child anthropometry, household food security, and livelihoods. Using mixed methods, primary data were triangulated with secondary geospatial data on vegetation index and conflicts as well as qualitative interviews with local actors. Analysis was conducted using comparison tests, linear and logistic crude, and adjusted models, as well as looking at the design effect as a measure of clustering of outcomes at the community level. RESULTS: The geospatial distribution of hunger indicators shows child wasting and food insecurity are highly clustered. However, communities with a high prevalence of child wasting were not those with the highest levels of food insecurity, indicating different pathways. Clustering of food insecurity and child wasting is due to basic drivers of conflict, health, and seasonal access to natural resources. CONCLUSIONS: The high levels of food insecurity and child wasting are each concentrated in specific survey clusters and are not necessarily connected. They result from different causal pathways at the community level linked to the systemic drivers of the rule of access to natural resources, environmental seasonality, and livelihoods. This suggests a greater need for an integrated humanitarian, development, and peace-building interventions to address the persistent high prevalence of food insecurity and child wasting. It also suggests that these community-level and systemic drivers require greater consideration from the start in research design and data collection.

Plain language titleUnderstanding Linkages Between Household Food Insecurity, Child Malnutrition, and Their Respective Clustered Drivers in ChadPlain language summaryChad experiences emergency levels of household food insecurity and child malnutrition. To address this issue, the United Nations Food and Agricultural Organization has undertaken a collaborative effort to enhance cooperation among humanitarian, development, and peace-building actors. The objective of this study was to examine how child malnutrition, food insecurity, and their drivers cluster across communities in Kanem and Bahr El Ghazal to improve response planning and targeting. The study collected data in August 2021 on malnutrition, food security, livelihoods, vegetation, and conflict and carried out interviews with local informants. In total, the research covers 86 villages, 7,002 households, and 6,136 children. The research shows that the 2 measures of hunger, child malnutrition and food insecurity, are highly clustered, affecting some communities more than others. However, villages with a high prevalence of child acute malnutrition did not have the highest levels of food insecurity, suggesting different community-level drivers. The clustering of food insecurity and malnutrition at the village level was linked to the diversity of livelihoods, the experience of conflict, health, and seasonal limitations in accessing natural resources. These findings are crucial for informing the targeting and design of integrated humanitarian, development, and peace programs. Taking a systemic approach and fostering strong coordination across interventions to address the drivers of food insecurity and malnutrition holds great potential for tackling hunger in Chad.

Factors associated with acute malnutrition among children aged 6-59 months in Haiti, Burkina Faso and Madagascar: A pooled analysis.

BACKGROUND: Acute malnutrition is one of the main causes of morbidity and mortality among children under 5 years worldwide, and Action Contre la Faim (ACF) aims to address its causes and consequences. To better tailor humanitarian programs, ACF conducts standardized contextual studies called Link NCAs (Nutrition Causal Analysis), to identify factors associated with severe acute malnutrition (SAM) and moderate acute malnutrition (MAM). Data from three Link NCAs performed in 2018 and 2019 in Haiti, Burkina Faso and Madagascar were used to explore the prevalence of malnutrition by different indicators and associated risk factors among children aged 6-59 months. METHODS: Cross-sectional data, collected via household surveys applying two-stage cluster sampling, were pooled to build a sample of 1,356 children. Recommended anthropometric thresholds were used to define SAM (Weight-for-Height Z-score (WHZ) <-3 or Mid-upper Arm Circumference (MUAC) <115 mm and/or presence oedema), MAM (-3≤WHZ<-2 or 115≤MUAC<125 mm) and global acute malnutrition GAM (SAM or MAM) among children. Multivariate analyses for each anthropometric indicator were performed using logistic mixed models and adjusting for potential confounders. RESULTS: The prevalence of acute malnutrition was the highest in Madagascar. The risk of having GAM and MAM varied across countries, while the risk of having SAM varied across clusters. Being male, suffering from diarrhea, and having unwashed face and hands, were significantly associated with GAM by WHZ with adjusted odds ratio of 1.9 [95%Confidence interval (CI):1.1-3.2], 1.7 (95%CI: 1.0-3.1) and 1.9 (95%CI: 1.0-3.6) respectively. These factors were also associated with MAM by WHZ. None of the studied factors was significantly associated with SAM, which could be due to a small sample size. CONCLUSION: These results obtained from a large sample contribute to the evidence of the factors associated with undernutrition in children aged 6-59 months. Further research with larger sample sizes is needed to confirm these results.