This study examines malnutrition’s triple burden, including anaemia, overweight, and stunting, among children aged 6–59 months. Using data from the National Family Health Survey-5 (2019–2021), the study identifies risk factors and assesses their contribution at different levels to existing malnutrition burden. A random intercept multilevel logistic regression model and spatial analysis are employed to identify child, maternal, and household level risk factors for stunting, overweight, and anaemia. The study finds that 34% of children were stunted, 4% were overweight, and 66% were anaemic. Stunting and anaemia prevalence were higher in central and eastern regions, while overweight was more prevalent in the north-eastern and northern regions. At the macro-level, the coexistence of stunting, overweight, and anaemia circumstantiates the triple burden of childhood malnutrition with substantial spatial variation (Moran’s I: stunting-0.53, overweight-0.41, and anaemia-0.53). Multilevel analysis reveals that child, maternal, and household variables play a substantial role in determining malnutrition burden in India. The nutritional health is significantly influenced by a wide range of determinants, necessitating multilevel treatments targeting households to address this diverse group of coexisting factors. Given the intra-country spatial heterogeneity, the treatment also needs to be tailor-made for various disaggregated levels.

The Integrated Child Development Services (ICDS) programme has been the central focus of the POSHAN Abhiyaan to combat maternal and child malnutrition under the national nutrition mission in India. This paper examined the linkages between utilization of ICDS and underweight among children aged 6–59 months. The study utilized data from two recent rounds of the National Family Health Survey (NFHS‐4 [2015–2016] and NFHS‐5 [2019–2021]). Descriptive analyses were used to assess the change in utilization of ICDS and the prevalence of underweight at the national and state levels. Multivariable logistic regressions were performed to examine factors associated with the utilization of ICDS and underweight. Linkages between utilization of ICDS and underweight were examined using the difference‐in‐differences (DID) approach. Utilization of ICDS increased from 58% in 2015–2016 to 71% in 2019–2021. The prevalence of underweight decreased from 37% to 32% in the same period. Changes in ICDS utilization and underweight prevalence varied considerably across states, socioeconomic and demographic characteristics. Results from decomposition of DID models suggest that improvements in ICDS explained 9%–12% of the observed reduction in underweight children between 2016 and 2021, suggesting that ICDS made a modest but meaningful contribution in addressing undernutrition among children aged 6–59 months in this period.

Background: High coverage of nutrition-specific interventions is critical to meet global nutrition targets, and it is imperative to understand how to attain it. We examined trends and inequalities in the coverage of interventions in India and the role of the National Nutrition Mission (NNM) in achieving improvements. Methods: We conducted trends and equity analysis of 30 interventions using two rounds of National Family Health Survey data (2015–2016, n=1 78 874, and 2019–2021, n=1 70 697). We also compared coverage between states that received incentives and monitoring under NNM and those that did not. We reviewed programme documents and grey literature to construct a policy timeline to trace pathways to coverage improvement and consulted with stakeholders to confirm interpretation of findings. Findings: Between 2016 and 2021, coverage improved significantly for nearly all interventions (~1–22 percentage points (pp) during pregnancy, ~7–20 pp during delivery/postpartum and~5–17 pp during early childhood). Improvements in coverage were higher among the poor and in rural areas compared with the rich and in urban areas, respectively; wealth and residence gaps narrowed for most interventions. These improvements could be traced to community mobilisation, technology and monitoring under NNM. Improvements in coverage of growth monitoring and counselling were higher in states that received additional incentives and monitoring under NNM. Stakeholders concurred that the improvements in coverage were likely driven by NNM. Interpretation: Focused policy attention and programmatic efforts improved coverage and reduced inequities indicating an inclusive approach. Persistent coverage gaps for certain interventions require further inquiry.

The study examines malnutrition's triple burden, including anaemia, overweight, and stunting, among children aged 6-59 months. Using data from the National Family Health Survey-5 (2019-21), the study identifies risk factors and assesses the contribution at different levels to existing malnutrition burden. A random intercept multilevel logistic regression model and spatial analysis are employed to identify child, maternal, and household level risk factors for stunting, overweight, and anaemia. The study finds that 34% of children were stunted, 4% overweight, and 66% anaemic. Stunting and anaemia prevalence were higher in central and eastern regions, while overweight was more prevalent in the north-eastern and northern regions. At macro-level, the coexistence of stunting, overweight, and anaemia circumstantiates the triple burden of childhood malnutrition with substantial spatial variation (Moran’s I: stunting-0.53, overweight-0.41 and anaemia-0.53). Multilevel analysis reveals that child, maternal, and household variables play a substantial role in determining malnutrition burden in India. The nutritional health is significantly influenced by a wide range of determinants, necessitating multilevel treatments targeting households to address this diverse group of coexisting factors. Given the intra-country spatial heterogeneity, the treatment also needs to be tailor-made for various disaggregated levels.