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ARS Home » Nutrition, Food Safety/Quality » Research » Research Project #447196

Research Project: Effects of Peanut Consumption on Maternal and Child Health

Location: Nutrition, Food Safety/Quality

Project Number: 0500-00117-001-002-G
Project Type: Grant

Start Date: Sep 27, 2024
End Date: Sep 26, 2026

Objective:
1) Examine the associations of maternal peanut consumption during pregnancy with maternal metabolic health outcomes during pregnancy and up to 6 years postpartum; (2) Examine the associations of maternal peanut consumption during pregnancy and postpartum with child growth and metabolic health from birth to 6 years of age; (3) Examine the associations of child peanut consumption with child growth and metabolic health up to 6 years of age. We expect that a moderately high level of peanut consumption will be associated with favorable maternal and child health outcomes.

Approach:
This will be a 2-year study to examine the extent to which maternal and child consumption of peanut foods influence pregnancy/birth outcomes, metabolic health, physical growth, and obesity up to 6 years postpartum or after birth. Guided by a life course framework, Researchers will use secondary data from 2 U.S. longitudinal birth cohorts that tracked mother-child dyads from pregnancy to mid-childhood: A) Infant Feeding Practices Study II (IFPS II, 2005-2012, N=3,033 newborns) that followed participants in pregnancy and at 1 month (m), 2 m, 3 m, 4 m, 5 m, 6 m, 7 m, 9 m, 10 m, 12 m, and 6 years of child age 25, 26 and B) WIC Infant and Toddler Feeding Practices Study-2 (WIC ITFPS-2, 2013-present, N=3,777 children) that followed participants in pregnancy and at 1 m, 3 m, 5 m, 7 m, 9 m, 11 m, 13 m, 15 m, 18 m, 24 m, 30 m, 36 m, 42 m, 48 m, 54 m, 60 m, and 72 m of child age 27. With existing access to both datasets, researchers have 5 publications on child nutrition, growth, and obesity using IFPS II28-31 and WIC ITFPS-232. These 2 cohorts have a similar design and complementary measures of maternal and child outcomes, which provides a unique opportunity for comprehensive analysis as well as replication and data synthesis.