Money or Knowledge? Behavioral Aspects of Malnutrition
1 other identifier
interventional
506
0 countries
N/A
Brief Summary
Malnutrition accounts for nearly half of child deaths worldwide. Children who are well-nourished are better able to learn in school, grow into more physically capable adults, and require less health care during childhood and adulthood. Moreover, it is difficult to make up for poor childhood nutrition later in life. I present here the proposal for an intervention that builds on a larger study in Ethiopia and will generate insights into the importance of behavioral factors related to persistent malnutrition in low-income settings, allowing for more targeted, cost-effective interventions in the future. Existing data from the study region, Oromia, Ethiopia, suggest that many mothers know how to correctly respond to a hypothetical situation where a young child exhibits poor growth. On the other hand, however, mothers frequently appear unaware about their own children's growth deficiencies. Together, these facts suggest that false beliefs about the appropriateness of a child's physical size are a more likely contributor to malnutrition, rather than a weak understanding of how to help a malnourished child. The proposed intervention will provide evidence on the relationship between caregiver beliefs about child nutritional status and the caregiver's behavior, ultimately analyzing how this relationship influences important nutritional choices for young children in a setting with limited resources. The study uses a two-by-two randomized trial; the first treatment is a cash transfer labeled for child food consumption, and the second is the provision of personalized information about the quality of the child's height compared to other children like those of the same age and gender in East Africa. Together the two treatment arms will provide evidence about the relative importance of behavioral versus resource barriers to improved nutrition. Better understanding of the interaction between these key factors is essential in addressing one of the foremost health issues facing developing countries today.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jul 2016
Shorter than P25 for not_applicable
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 1, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2016
CompletedStudy Completion
Last participant's last visit for all outcomes
September 1, 2016
CompletedFirst Submitted
Initial submission to the registry
September 7, 2016
CompletedFirst Posted
Study publicly available on registry
September 16, 2016
CompletedFebruary 28, 2017
February 1, 2017
2 months
September 7, 2016
February 25, 2017
Conditions
Outcome Measures
Primary Outcomes (5)
Dietary diversity
Number of foods that index child consumed in past 24 hours from among: grains, tubers, milk, vitamin-A rich fruits and vegetables (e.g., pumpkins, carrots, dark leafy vegetables, mangoes, papayas), other fruits and vegetables, animal protein foods, and legumes, as measured through an interview with the child's caregiver at 6 weeks post intervention
6 weeks after baseline/intervention
Food frequency
Number of days in past week that index child consumed key foods (meat/fish, fruits, vegetables, eggs, milk/dairy products, legumes), as measured through an interview with the child's caregiver at 6 weeks post intervention
6 weeks after baseline/intervention
Meal frequency
Number of times child was fed in previous 24 hours; assessed separately depending on whether child is still breastfeeding, and by age group (\<24 months, 24-36 months, \>36 months), as measured through an interview with the child's caregiver at 6 weeks post intervention
6 weeks after baseline/intervention
Infant and child feeding index
Total score from: Dietary diversity (0 or 1 foods = 0 points, 2-3 foods = 1 point, 4+ foods=2 points), food frequency (0 days = 0 point, 1-3 days = 1 point, 4+ days = 2 points), breastfeeding (1 point; relevant for children up to 36 months), and meal frequency (0-1 meals = 0 points, 2 meals = 1 point, 3 meals = 2 points, 4+ meals = 3 points), as measured through an interview with the child's caregiver at 6 weeks post intervention
6 weeks after baseline/intervention
Household spending
Household spending on key foods (meat/fish, fruits and vegetables, eggs, milk/dairy products, legumes)
6 weeks after baseline/intervention
Secondary Outcomes (3)
Caregiver perception of child's relative height
6 weeks after baseline/intervention
Caregiver satisfaction with child's height
6 weeks after baseline/intervention
Caregiver knowledge of how to improve child's growth
6 weeks after baseline/intervention
Study Arms (4)
Control
NO INTERVENTIONAll households in the study were given general child nutrition educational messaging, immediately after the baseline survey and prior to any treatments. This messaging focused on appropriate feeding habits complemented by breastfeeding and ways to maintain proper hygiene during food preparation and consumption.
Personalized information only
EXPERIMENTALHousehold received the personalized information about the index child's height.
Labeled cash transfer only
EXPERIMENTALHousehold received the labeled cash transfer.
Personalized information and labeled cash transfer
EXPERIMENTALThe household received both the personalized information intervention and labeled cash transfer intervention.
Interventions
During a prior study in June-July 2016, we collected anthropometric measures on the index children, including the children's height. Based on these data, for households assigned to the information treatment, enumerators provided personalized information to the children's primary caregiver about the index child's current height, during a baseline household visit. The enumerators carried a display card that visually showed where the child's height fell compared to "healthy" children of the same age and gender like those in East Africa. The enumerators emphasized to the caregivers that short stature is due to poor chronic malnutrition and is not just attributable to genetics or a recent illness. During this visit, the enumerators additionally pointed out that chronic malnutrition is not immediately life-threatening.
Households received a cash transfer labeled for child food consumption and were told the money is designed to cover additional spending for food for the index child (and any other younger children in the household) over the next six weeks. Though it was given as a single, lump sum payment, the transfer was evenly split and handed to the household in six sealed envelopes, to help the households better allocate the money. To further encourage them not to spend the money all at once, each envelope was labeled with a number, the index child's name, and the dates for the week the money in the envelope should be spent. Enumerators clearly stated that this is a one-time money transfer.
Eligibility Criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Harvard School of Public Health (HSPH)lead
- Weiss Family Program Fundcollaborator
- Harvard Center for African Studiescollaborator
- Harvard Foundations of Human Behaviorcollaborator
- Vogelheim Hansen Fundcollaborator
Related Publications (2)
Ruel MT, Menon P. Child feeding practices are associated with child nutritional status in Latin America: innovative uses of the demographic and health surveys. J Nutr. 2002 Jun;132(6):1180-7. doi: 10.1093/jn/132.6.1180.
PMID: 12042431BACKGROUNDArimond M, Ruel MT. Dietary diversity is associated with child nutritional status: evidence from 11 demographic and health surveys. J Nutr. 2004 Oct;134(10):2579-85. doi: 10.1093/jn/134.10.2579.
PMID: 15465751BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Katherine Donato, MA
Harvard University
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Purpose
- PREVENTION
- Intervention Model
- FACTORIAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- PhD Candidate
Study Record Dates
First Submitted
September 7, 2016
First Posted
September 16, 2016
Study Start
July 1, 2016
Primary Completion
September 1, 2016
Study Completion
September 1, 2016
Last Updated
February 28, 2017
Record last verified: 2017-02