Prepregnancy body mass index and spina bifida: Potential contributions of bias.

Journal Article (Journal Article)

BACKGROUND: Epidemiologists have consistently observed associations between prepregnancy obesity and spina bifida in offspring. Most studies, however, used self-reported body mass index (potential for exposure misclassification) and incompletely ascertained cases of spina bifida among terminations of pregnancy (potential for selection bias). We conducted a quantitative bias analysis to explore the potential effects of these biases on study results. METHODS: We included 808 mothers of fetuses or infants with spina bifida (case mothers) and 7,685 mothers of infants without birth defects (control mothers) from a population-based case-control study, the National Birth Defects Prevention Study (1997-2011). First, we performed a conventional epidemiologic analysis, adjusting for potential confounders using logistic regression. Then, we used 5,000 iterations of probabilistic bias analysis to adjust for the combination of confounding, exposure misclassification, and selection bias. RESULTS: In the conventional confounding-adjusted analysis, prepregnancy obesity was associated with spina bifida (odds ratio 1.4, 95% confidence interval: 1.2, 1.7). In the probabilistic bias analysis, we tested nine different models for the combined effects of confounding, exposure misclassification, and selection bias. Results were consistent with a weak to moderate association between prepregnancy obesity and spina bifida, with the median odds ratios across the nine models ranging from 1.1 to 1.4. CONCLUSIONS: Given our assumptions about the occurrence of bias in the study, our results suggest that exposure misclassification, selection bias, and confounding do not completely explain the association between prepregnancy obesity and spina bifida.

Full Text

Duke Authors

Cited Authors

  • Johnson, CY; Honein, MA; Rasmussen, SA; Howards, PP; Strickland, MJ; Flanders, WD; National Birth Defects Prevention Study,

Published Date

  • May 1, 2021

Published In

Volume / Issue

  • 113 / 8

Start / End Page

  • 633 - 643

PubMed ID

  • 33605566

Pubmed Central ID

  • 33605566

Electronic International Standard Serial Number (EISSN)

  • 2472-1727

Digital Object Identifier (DOI)

  • 10.1002/bdr2.1877

Language

  • eng

Conference Location

  • United States