Parental Misperceptions on Child Nutrition in India

Policy Context

Nearly half of all children under age five in India are undernourished, yet parents often fail to recognize malnutrition in their children. This study examines a potential explanation: in high-malnutrition settings, parents may systematically overestimate their children’s nutritional status because they benchmark growth against local peers rather than global standards. This, in turn, can suppress demand for improved nutrition and sustain a self-reinforcing low-nutrition equilibrium, where widespread malnutrition becomes normalized and parents see little need for additional nutritional investment. These dynamics matter not only for individual child well-being, but also for long-run human capital and economic development: early-life undernutrition is linked to lower educational attainment, productivity, and earnings in adulthood.

Study Design

The study involves an individual-level field experiment with 1,527 mother-child pairs across 168 government childcare centers (Anganwadi Centers, or AWCs) in the state of Telangana. Eligible children were 7-24 months old at baseline, an age when growth faltering is acute. Centers were classified into “high-nutrition” and “low-nutrition” groups based on average child anthropometric z-scores using government administrative records, allowing me to examine how beliefs and treatment effects vary across different nutrition environments. Within each center, children were randomly assigned to control and one of two treatment groups, stratified by sex and malnutrition status.

The core intervention aimed to highlight gaps between perceived and actual child growth, and shift benchmarks for healthy development. In the first treatment arm, mothers were shown their child’s true percentiles relative to WHO growth standards using a simple picture card, helping them visualize exactly where their child stood in the distribution and highlighting any overestimation. They were also provided with height and weight reference values at different percentile ranks to recalibrate benchmarks for healthy growth and were encouraged to set incremental goals to move up the ranks. In the second treatment arm, mothers received the same percentile-based information as in the first arm, along with additional information designed to correct complementary misperceptions about the long-term consequences of early-life malnutrition on health, education, and labor market outcomes, and about the relative effectiveness of different foods in promoting child growth.

Results

Baseline data revealed large distortions in how parents perceive their children’s growth. On average, mothers believed their children were at the 47th percentile for height and 37th for weight, when true values were 14 and 13, respectively. Mothers were also asked to use a measuring tape to indicate what they considered to be the “ideal” height for their child’s age. This reported ideal height was well below global norms, corresponding to an average height-for-age z-score (HAZ) of -1.83. Despite 38% of the children being stunted (HAZ < -2 or height percentile < 3), 84% of mothers described their height as “normal” or “tall”, and 74% believed their child was of average or above-average height.

Importantly, these misperceptions were not random. They were systematically larger in villages where the average child was shorter. Mothers in low-nutrition centers held more optimistic views of their children’s growth, reported lower benchmarks for ideal height, and were more likely to describe malnourished children as normal. In centers with the lowest average nutrition, reported ideal height even fell below the stunting threshold. This highlights the key paradox: parents in areas with the highest malnutrition rates are also the least likely to recognize it.

The intervention shifted beliefs and feeding practices. The treatment substantially reduced misperceptions, raised ideal height benchmarks, and improved recognition of undernutrition. Mothers in both treatment groups reported greater diet adequacy, increased protein consumption, and higher utilization of government supplementary food.

Within 6 months, treated children gained 0.09-0.15 SD in anthropometric z-scores, and the fraction of underweight children fell by 25%. Stunting and wasting rates were also 10% and 22% lower, though not statistically significant at conventional levels.

The additional information provided in the second treatment arm improved mothers’ knowledge and produced somewhat larger and more precisely estimated effects on child diets and growth, but did not generate statistically significant gains beyond those from percentile feedback alone, suggesting limited complementarities. The magnitudes of effect sizes in the two treatment arms were similar, suggesting that most of the behavioral response operates through the correction of distorted reference points, that is, by closing the gap between parents’ perceived and actual assessments of their child’s nutritional status, rather than through changes in perceived returns or nutrition knowledge.

The treatment effects on both diets and growth were strongest among children in low-nutrition villages, and among children whose mothers initially had the largest misperceptions. This heterogeneity provides the key causal evidence on the mechanism: it is precisely where peers were shortest and misperceptions largest that information had the biggest impact.

Policy Implications

This belief-correction intervention is low-cost and scalable, and considerably more cost-effective than typical nutrition and cash transfer programs. Because belief distortions are most severe in the poorest growth environments and among the most malnourished children, it is also inherently progressive.

India, and many other low- and middle-income countries, operate large-scale public nutrition programs providing free food and growth monitoring services, yet malnutrition rates remain high. The findings suggest that demand-side constraints, rooted in parental misperceptions of child growth, may mute the impact of these programs. Embedding belief-correction into frontline nutrition platforms, and delivering information in a form that is easily interpretable and salient for parents, could strengthen demand for improved nutrition, increase utilization of services, and ultimately improve child health.