Abstract

This secondary analysis explored the association between gestational weight gain, pre-pregnancy body mass index (BMI), and prenatal diet quality in a United States national sample. The sample comprised 1322 pregnant women in the longitudinal Infant Feeding Practices Study II with Diet History Questionnaire data. Diet quality in the third trimester was assessed using the Alternative Healthy Eating Index for Pregnancy. Self-reported pre-pregnancy BMI (categorized as underweight<18.5, normal weight 18.5–24.9, overweight 25.0–29.9, and obese≥30.0) and total gestational weight gain were used to categorize adherence to the Institute of Medicine’s recommendations as inadequate, adequate, or excessive weight gain. Diet quality in pre-pregnancy BMI and gestational weight gain groups were compared using Tukey-adjusted generalized linear models adjusted for sociodemographic factors, Women, Infants, and Children participation, parity, and energy intake. Due to missing gestational weight gain data, sensitivity analyses with multiply imputed data were conducted. Women were on average 28.9 years old and of higher socioeconomic status (40% college graduates) and mostly non-Hispanic White (84%), and the mean Alternative Healthy Eating Index for Pregnancy score was 61.2 (of 130). Both pre-pregnancy BMI and gestational weight gain were inversely associated with diet quality scores (p<0.01). The interaction between pre-pregnancy BMI and gestational weight gain was significant (p = 0.04), therefore gestational weight gain models were stratified by BMI group. In stratified adjusted models, gestational weight gain was differently associated with diet quality scores (p<0.05) among women with underweight, normal weight, overweight, and obesity. The relationship between gestational weight gain and prenatal diet quality depended on pre-pregnancy BMI. For example, within women with normal weight, higher diet quality was observed in the adequate gestational weight gain group. Interventions to broadly improve prenatal diet quality are needed, however, resources can be used to target women with higher pre-pregnancy BMIs and women with inadequate or excessive gestational weight gain.

Highlights

  • IntroductionConsiderable recognition has been given to the relationship between early life (i.e. from conception to age two) exposures and long-term health outcomes

  • Considerable recognition has been given to the relationship between early life exposures and long-term health outcomes

  • 0.0005 0.9558 0.0066 0.5970 p-values were obtained from comparison between GWG reporters and GWG non-reporters using t-tests for continuous variables and chi-squared tests for categorical variables. a Gestational Weight Gain b Non-reporters includes ten participants who reported their gestational weight gain but not their pre-pregnancy body mass index (BMI) and could not be included in gestational weight gain analyses. c Other includes including Hispanic, Asian/Pacific Islander, multiracial, and other races d Poverty income ratio 1.85 e Poverty income ratio >1.85 and

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Summary

Introduction

Considerable recognition has been given to the relationship between early life (i.e. from conception to age two) exposures and long-term health outcomes. Nutritional exposures during pregnancy (i.e. prenatal diet) influence the mother’s health as well as pregnancy outcomes [1,2,3], and the child’s growth trajectories and chronic disease risk [4,5,6]. Due to increased physiological adaptability during development, prenatal diet can influence the child’s long term health outcomes through numerous pathways [7]. Maternal overnutrition measured with pre-pregnancy body mass index (BMI) is a regularly screened risk factor due to consistent evidence of increased risk of adverse pregnancy and health outcomes in women who enter pregnancy with higher BMI’s [8,9,18]. Though a variety of lifestyle factors influence GWG trajectories, if both pre-pregnancy BMI and GWG are associated with prenatal diet quality, both measures should be explored to examine the associations between maternal factors and health outcomes

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