Predictors of measurement error in energy intake during pregnancy.
Journal Article (Journal Article)
Nutrition plays a critical role in maternal and fetal health; however, research on error in the measurement of energy intake during pregnancy is limited. The authors analyzed data on 998 women living in central North Carolina with singleton pregnancies during 2001-2005. Second-trimester diet was assessed by food frequency questionnaire. Estimated energy requirements were calculated using Institute of Medicine prediction equations, with adjustment for energy costs during the second trimester. Implausible values for daily energy intake were determined using confidence limits of agreement for energy intake/estimated energy requirements. Prevalences of low energy reporting (LER) and high energy reporting (HER) were 32.8% and 12.9%, respectively. In a multivariable analysis, pregravid body mass index was related to both LER and HER; LER was higher in both overweight (odds ratio = 1.96, 95% confidence interval: 1.26, 3.02; P = 0.031) and obese (odds ratio = 3.29, 95% confidence interval: 2.33, 4.65; P < 0.001) women than in normal-weight counterparts. Other predictors of LER included marriage and higher levels of physical activity. HER was higher among subjects who were underweight, African-American, and less educated and subjects who had higher depressive symptom scores. LER and HER are prevalent during pregnancy. Identifying their predictors may improve data collection and analytic methods for reducing systematic bias in the study of diet and reproductive outcomes.
Full Text
Duke Authors
Cited Authors
- Nowicki, E; Siega-Riz, A-M; Herring, A; He, K; Stuebe, A; Olshan, A
Published Date
- March 2011
Published In
Volume / Issue
- 173 / 5
Start / End Page
- 560 - 568
PubMed ID
- 21273398
Pubmed Central ID
- PMC3105438
Electronic International Standard Serial Number (EISSN)
- 1476-6256
International Standard Serial Number (ISSN)
- 0002-9262
Digital Object Identifier (DOI)
- 10.1093/aje/kwq402
Language
- eng