CClinicalTrials.gg
Active, not recruitingNCT06473025Updated Oct 17, 2024

Parental Misperceptions on Child Nutrition in India: Implications for Child Feeding Practices and Growth

An interventional study of Information on Relative Nutritional Status and Information on Returns to Child Nutrition in Child Malnutrition, sponsored by University of Southern California. Active, not recruiting at 1 site in India. Open to female participants. Per ClinicalTrials.gov, last updated 2024-10-17.

Sponsored by University of Southern California · Not applicable, Interventional, and Other

From the registry’s dates

  • Primary completion was expected by May 2025, 1 year 4 months ago, but the record still lists the study as active, not recruiting.
Phase
Not applicable
Study type
Interventional
Enrollment
1,542
Allocation
Randomized
Sex
Female
01

Study summary

The goal of this randomized controlled trial is to examine the role of parental misperceptions and information gaps in contributing to poor child dietary practices and high child undernutrition rates in India. The main research questions it seeks to answer are:

  1. Do mothers systematically overestimate the nutritional status (height- and weight-for-age percentiles) of their children, relative to global World Health Organization (WHO) standards and other children in their region?,
  2. Do mothers underestimate the returns to child nutrition on long-term health, education, and labor market outcomes?,
  3. What mechanisms could explain the formation of such misperceptions? Are mothers with higher exposure to undernourished children more likely to overestimate their children's nutritional status?, and
  4. Would updating mothers' beliefs about a) their children's true height-for-age and weight-for-age percentiles, and/or b) the returns to child nutrition, improve child feeding practices, utilization of government nutrition services, and child growth outcomes?

The study involves an individual-level randomized controlled trial with 1500 mothers of children aged 7-24 months in Telangana, India, with two information treatment arms and one control arm. The first treatment will update mothers' beliefs on the relative height- and weight-for-age percentiles of their children, and the second will provide information on the impacts of child undernutrition on long-term health (risk of chronic and infectious diseases, mortality), education (high school test scores, years of education), and labor market (earnings) outcomes.

The treatment and control groups will be compared to assess if the information treatments improve outcomes related to child feeding practices, consumption of government-supplied therapeutic food, cognition measures, and child growth.

Read the detailed description

The goal of this randomized controlled trial is to examine the role of parental misperceptions and information gaps in contributing to poor child dietary practices and high rates of child undernutrition in India. This study is guided by two core hypotheses:

  1. Parents systematically overestimate the nutritional status of their children: If parents form expectations about how healthy their child is by observing other children around them, then parents in areas with high levels of stunting and wasting may be more likely to believe that their own child is relatively healthy and have a skewed perception of "ideal" height and weight levels.
  2. Parents systematically underestimate the returns to child nutrition on long-term health, education, and labor market outcomes: While there is a large literature documenting the effects of child nutrition on the incidence of infectious and chronic diseases, years of education, test scores, and earnings in adulthood, this information is most likely not common knowledge among parents in India, particularly in rural areas.

These misperceptions, if proven true, may create a suboptimal equilibrium for child nutrition outcomes, trapping families in a cycle of inadequate nutrition.

The main research questions are:

  1. Do mothers systematically overestimate the nutritional status (height- and weight-for-age percentiles) of their children, relative to global WHO standards and other children in their region?,
  2. Do mothers underestimate the returns to child nutrition on long-term health, education, and labor market outcomes?,
  3. What mechanisms could explain the formation of such misperceptions? Are mothers with higher exposure to undernourished children more likely to overestimate their children's nutritional status?, and
  4. Would updating mothers' beliefs about a) their children's true height-for-age and weight-for-age percentiles, and/or b) the returns to child nutrition, improve child feeding practices, utilization of government nutrition services, and child growth outcomes?

The research design involves an individual-level field experiment with 1500 mothers of children aged 7 to 24 months, with two treatment arms and a control arm:

  • Treatment arm 1: Update mothers' beliefs on the height-for-age and weight-for-age percentiles of their child relative to a reference group of healthy children based on WHO standards
  • Treatment arm 2: Treatment 1 + information on the impacts of child undernutrition on long-term health (risk of chronic and infectious diseases, mortality), education (high school test scores, years of education), and labor market (earnings) outcomes, synthesized from existing literature
  • Control arm: Status-quo, no intervention

The main outcomes of interest are - a) willingness-to-pay (WTP) for a protein supplement/food bundle for the child, measured at the end of the baseline survey, and b) beliefs on child nutrition, c) child feeding practices (frequency of meals, diet diversity, diet adequacy, protein consumption) measured through a 24-hour diet recall module, d) consumption of government-supplied therapeutic food, e) child height, weight, and anthropometric z-scores, f) child health outcomes: episodes of illness, g) household food expenditures, and h) child cognition measures, measured during the endline survey.

02

Conditions studied

  • Child Malnutrition

Keywords

  • child malnutrition
  • stunting
  • india
  • child feeding
  • behavioral
  • misperceptions
03

In context

Malnutrition

1,587 studies on the registry are indexed under Malnutrition; 237 are open to participants now.

This study's enrollment of 1,542 is above the median of 90 across 1,134 interventional studies indexed under Malnutrition.

Browse Malnutrition studies →

Lead sponsor

University of Southern California is the lead sponsor of 773 studies on the registry; 135 are open to participants now.

Of its 68 completed or terminated interventional studies of FDA-regulated products, 32 (47%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
Female
Accepts healthy volunteers
No

Inclusion criteria

  • Biological mothers of sampled children aged 7-24 months

Exclusion criteria

Exclusion Criteria:

  • Any medical/health condition that precludes individuals from understanding the study procedures or communicating with study personnel (eg. deafness, inability to speak, mental health conditions)
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Study design

Phase
Not applicable
Primary purpose
Other
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
1,542 participants (actual)

Study arms

  • Experimental
    Treatment Arm 1: Relative Nutritional Status

    Provide information on the true height-for-age and weight-for-age percentiles of the child relative to a reference group of healthy children based on WHO standards

    Behavioral: Information on Relative Nutritional Status

  • Experimental
    Treatment Arm 2: Relative Nutritional Status and Returns

    Provide information on the true height-for-age and weight-for-age percentiles of the child relative to a reference group of healthy children based on WHO standards AND provide information on the impacts of child undernutrition on health (risk of chronic and infectious diseases, mortality), education (high school test scores, years of education), and labor market (earnings) outcomes, synthesized from existing literature

    Behavioral: Information on Relative Nutritional Status · Behavioral: Information on Returns to Child Nutrition

  • No intervention
    Control Arm

    Status-quo, no intervention

Interventions

  • BehavioralInformation on Relative Nutritional Status

    The intervention involves providing information on the height-for-age and weight-for-age percentiles of children relative to a reference group of healthy children based on WHO standards

  • BehavioralInformation on Returns to Child Nutrition

    The intervention involves providing information on the effects of child undernutrition on long-term health, education, and labor market outcomes.

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What researchers measure

Primary outcomes

  1. Average willingness-to-pay for protein-rich food bundle

    All mothers who participate in the survey will be entered into a lottery to win a bundle of protein-rich food items for their child or, alternatively, a randomly chosen cash prize (amount may range from Rs. 100 to Rs. 2000). 25 lottery "winners" will be chosen randomly at the end of the baseline survey. Mothers will be asked to state their preferences between the food bundle and several potential cash prize amounts, using a multiple-price-list elicitation method. One cash prize amount will be randomly chosen for each mother, and their choice for that amount will be implemented in case they win the lottery. WTP will be measured by the mid-point of the interval of two cash amounts at which a mother switches from preferring to receive cash to preferring to receive food. Possible values range from 0 to 2000. Average willingness-to-pay will be compared between mothers in the treatment groups and the control group.

    Time frame: Baseline

  2. Difference between true and perceived height-for-age percentile relative to WHO standards

    The difference between the child's true height-for-age percentile relative to the WHO reference population and the mother's perceived percentile rank. Values may range from 0 to 100.

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

  3. Difference between true and perceived weight-for-age percentile relative to WHO standards

    The difference between the child's true weight-for-age percentile relative to the WHO reference population and the mother's perceived percentile rank. Values may range from 0 to 100.

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

  4. Knowledge score on returns to child nutrition (Binary)

    Binary variable coded "1" if at least half the prompts (3 out of 6) about the returns to child nutrition are answered correctly, and "0" otherwise. This is a binary indicator constructed based on the knowledge score scale that may range from 0 to 6, with higher scores representing better knowledge.

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

  5. Minimum frequency of meals

    Binary variable coded "1" if the child consumed the minimum recommended number of meals in the last 24 hours, based on their age, and "0" otherwise

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

  6. Minimum dietary diversity

    Binary variable coded "1" if the child consumed food from at least 5 of the 8 specified food groups in the last 24 hours, and "0" otherwise. This is a binary indicator constructed based on the World Health Organization "Minimum Dietary Diversity - Infant and Young Child Feeding" (MDD-IYCF) scale. Scores may range from 0 to 8, with higher scores representing better outcomes.

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

  7. Height-for-age z-score

    Height-for-age z-score at the time of the endline survey

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

  8. Weight-for-age z-score

    Weight-for-age z-score at the time of the endline survey

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

  9. Weight-for-height z-score

    Weight-for-height z-score at the time of the endline survey

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

  10. Consumption of Balamrutham

    Binary variable coded "1" if the child consumed Balamrutham (government-provided therapeutic food) in the last 24 hours, and "0" otherwise

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

  11. CREDI child cognition scale z-score

    The Caregiver-Reported Early Development Instruments (CREDI) Short Form is a validated set of 20 population-level measures of early childhood development (ECD) for children from birth to age three (0-36 months). The responses on this 20-point scale (based on age) will be converted to a norm-referenced standardized Z-score for overall development. The z-scores may range from -6 to +6, with larger scores representing better outcomes.

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

Secondary outcomes

  1. Change from baseline in height-for-age z-score

    Difference between height-for-age z-score between the endline survey and the baseline survey

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

  2. Change from baseline in weight-for-age z-score

    Difference between weight-for-age z-score between the endline survey and the baseline survey

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

  3. Change from baseline in weight-for-height z-score

    Difference between weight-for-height z-score between the endline survey and the baseline survey

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

  4. Change from baseline in height

    Difference between height between the endline survey and the baseline survey

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

  5. Change from baseline in weight

    Difference between weight between the endline survey and the baseline survey

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

  6. Episodes of illness in last 14 days (binary)

    Binary variable coded "1" of the child experienced any episodes of illness in the 14 days prior to the survey

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

  7. Household food expenditure in last calendar month

    Total household expenditure on food in the last calendar month

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

Other outcomes

  1. Knowledge score on returns to child nutrition (Continuous)

    The number of correctly answered prompts about the returns to child nutrition. Scores may range from 0 to 6, with higher scores representing better knowledge.

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

  2. Diet adequacy

    Binary variable coded "1" if the child meets the minimum frequency of meals AND diet diversity criteria

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

  3. Grams of protein consumed in last 24 hours

    Total grams of protein consumed by the child in last 24 hours

    Time frame: During endline survey, an average of 4 months (or 17 weeks) from baseline

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Study locations

1 site
  • Department of Women Development and Child Welfare
    Hyderabad, Telangana 500038, India
08

References and documents

Individual participant data

Plan to share: Yes — De-identified data will be made publicly available through an open-access repository (eg. ICPSR) after publication of the study findings.

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Oct 17, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT06473025
Lead sponsor
University of Southern California
Collaborators
Center for Effective Global Action (CEGA), Median Insights and Research, India
Responsible party
Jeffrey Broadman Weaver (Assistant Professor, University of Southern California) — Principal investigator
First posted
Jun 25, 2024
Start date
Sep 18, 2024
Primary completion
May 31, 2025 (estimated)
Completion
May 31, 2025 (estimated)
Last update
Oct 17, 2024

Study contacts

Sneha Nimmagadda, M.Sc.
principal investigator · University of Southern California

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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