Patterns of early dietary exposures have implications for maternal and child weight outcomes

Chelsea M. Rose, Jennifer S. Savage, Leann L. Birch

Research output: Contribution to journalArticlepeer-review

25 Scopus citations


Objective This article examines relations between patterns of dietary exposures at 9 months and infant and maternal weight status at 1 year postpartum. Methods Participants were part of the Infant Feeding Practices Study II and included 1807 mothers participating through the first year postpartum. All data were self-reported monthly by mothers. Latent class analysis was conducted to identify patterns of infant dietary exposures at 9 months. Factors that predicted dietary pattern class membership were examined including infant sleep and parity. Dietary pattern membership was used to predict child and maternal weight outcomes at 1 year postpartum. Results Five patterns of dietary exposures were identified, characterized by differences in milk-feeding and solid foods at 9 months: "Breastfed Fruits and Vegetables," "Breastfed Low Variety," "Formula-Fed Fruits and Vegetables," "Formula-Fed Low Variety," and "Mixed High Energy Density." Infants in the Mixed High Energy Density dietary pattern were more likely to be overweight at 1 year. Conclusions Dietary classes that capture different combinations of several aspects of infant feeding may be more useful than single dietary predictors, for example, breastfeeding, formula-feeding, or early introduction to solids, to describe differences in infants' early dietary experience and risk for overweight.

Original languageEnglish (US)
Pages (from-to)430-438
Number of pages9
Issue number2
StatePublished - Feb 1 2016

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)
  • Endocrinology, Diabetes and Metabolism
  • Endocrinology
  • Nutrition and Dietetics


Dive into the research topics of 'Patterns of early dietary exposures have implications for maternal and child weight outcomes'. Together they form a unique fingerprint.

Cite this