Peer-reviewed article
Disparity in childhood stunting in India: Relative importance of community-level nutrition and sanitary practices
Kajori Banerjee, Laxmi Kant Dwivedi ·
Summary
Written by AI, not yet AICS's view · claude-haiku-4-5-20251001This study analyzes why childhood stunting rates vary so widely across Indian states using national health survey data from 2015-16. The researchers compared six states with different stunting levels against Tamil Nadu, which has the best health outcomes. They found that community-level sanitation practices matter more than child nutrition behavior in explaining differences between states, and that poor-performing states have weaker policy effectiveness in reducing stunting. The authors recommend treating severe and moderate stunting differently and tailoring national policies to each state's specific needs.
Key points
- One-third of global childhood stunting burden occurs in India, with large geographical variation between states
- Community-level sanitation practices explain inter-state disparities in stunting more than child nutrition behaviour
- Drivers of severe and moderate stunting are not the same, requiring differentiated approaches
- Worse outcomes in some states are due to weaker policy effects rather than just worse conditions
- Multi-sectoral and customized policy approaches tailored to state performance are recommended
Limitations
This is a cross-sectional analysis comparing states at one time point, so it cannot establish causality or track how changes in sanitation or nutrition practices lead to changes in stunting over time. The study compares against one benchmark state (Tamil Nadu) rather than examining all possible state combinations.
Abstract
Despite rapid macro-economic growth, one-third of the global burden of childhood stunting is contributed by India. This burden is characterized by wide-spread geographical variation within the country. This paper explores two research questions: (i) are the drivers of severe and moderate stunting similar? (ii) differential endowments or policy-effect, how do community-level nutrition and sanitary practices affect inter-state differences? Using data from Indian National Family and Health Survey 4, 2015-16, six states holding different ranks in the stunting continuum are compared to Tamil Nadu, taken as the benchmark state due to its laudable performance in the health care sector. Applying quantile regression approaches, the difference in state-level performance is decomposed into detailed covariate effects (differential endowments) and coefficient effects (differential strength of association between the drivers and outcome). The explanatory variables are not similarly associated with severe and moderate stunting. Decomposition results demonstrate a significant role of community-level sanitation practices compared to child nutrition behaviour in explaining the inter-state disparity. Coefficient effects play a dominant role in the lower tail of HAZ distribution for the poor performing states indicating that the worse outcomes of these states are due to weaker policy effects of the control variables on stunting. Multi-sectoral approach, identification and differentiation between severe and moderate stunting cases can be more instrumental in managing and reducing the scourge. This paper also advocates the potential benefits of customizing centrally-launched policies as per the state's performance and introducing the concept coproduction in the existing nutrition and health policy framework. This will instigate a feeling of ownership of the problem of childhood stunting among the policy consumers and strengthen the influence of policies on the outcomes.