Malnutrition Clinical Trial
Official title:
Money or Knowledge? Behavioral Aspects of Malnutrition
| Verified date | February 2017 |
| Source | Harvard School of Public Health |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Interventional |
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.
| Status | Completed |
| Enrollment | 506 |
| Est. completion date | September 2016 |
| Est. primary completion date | September 2016 |
| Accepts healthy volunteers | |
| Gender | All |
| Age group | 14 Months to 55 Months |
| Eligibility |
Households for this study were selected from among those who were included in any of the
three study groups from a larger study and for whom relevant data had been collected. Inclusion Criteria: - inclusion in the larger study required the household to have a child who was 6-35 months old for the main study's baseline survey in July-August 2015 (referred to as the index child) and for the household to have land for crop cultivation Exclusion Criteria: - Households that did not meet the inclusion restriction or those who did not have anthropometric data collected during the larger study. |
| Country | Name | City | State |
|---|---|---|---|
| n/a | |||
| Lead Sponsor | Collaborator |
|---|---|
| Harvard School of Public Health | Harvard Center for African Studies, Harvard Foundations of Human Behavior, Vogelheim Hansen Fund, Weiss Family Program Fund |
Arimond 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. — View Citation
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. — View Citation
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | 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 | |
| Primary | 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 | |
| Primary | 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 | |
| Primary | 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 | |
| Primary | Household spending | Household spending on key foods (meat/fish, fruits and vegetables, eggs, milk/dairy products, legumes) | 6 weeks after baseline/intervention | |
| Secondary | Caregiver perception of child's relative height | 6 weeks after baseline/intervention | ||
| Secondary | Caregiver satisfaction with child's height | 6 weeks after baseline/intervention | ||
| Secondary | Caregiver knowledge of how to improve child's growth | 6 weeks after baseline/intervention |
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