2010
DOI: 10.1038/oby.2010.25
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The Impact of Exposure Misclassification on Associations Between Prepregnancy BMI and Adverse Pregnancy Outcomes

Abstract: Prepregnancy BMI is a widely used marker of maternal nutritional status that relies on maternal self‐report of prepregnancy weight and height. Pregravid BMI has been associated with adverse health outcomes for the mother and infant, but the impact of BMI misclassification on measures of effect has not been quantified. The authors applied published probabilistic bias analysis methods to quantify the impact of exposure misclassification bias on well‐established associations between self‐reported prepregnancy BMI… Show more

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Cited by 81 publications
(77 citation statements)
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“…41,42 However, it is unlikely that height and weight reporting differed according to child outcome measures or that reporting of developmental diagnoses differed according to prepregnancy BMI. Thus, the impact of using self-reported measures for weight and height would probably be a bias toward the null hypothesis; the associations reported here might therefore be conservative.…”
Section: Discussionmentioning
confidence: 99%
“…41,42 However, it is unlikely that height and weight reporting differed according to child outcome measures or that reporting of developmental diagnoses differed according to prepregnancy BMI. Thus, the impact of using self-reported measures for weight and height would probably be a bias toward the null hypothesis; the associations reported here might therefore be conservative.…”
Section: Discussionmentioning
confidence: 99%
“…41,42 However, it is unlikely that height and weight reporting differed according to child outcome measures or that reporting of developmental diagnoses differed according to prepregnancy BMI. Thus, the impact of using self-reported measures for weight and height would probably be a bias toward the null hypothesis; the associations reported here might therefore be conservative.…”
Section: Discussionmentioning
confidence: 99%
“…Dans une autre étude de l'impact du biais dans l'IMC prégestationnel sur cinq issues de grossesse (dont le FPAG et le PEAG) 20 , les associations n'ont pas été modifiées de façon significative mais ont été quelque peu atté-nuées par les erreurs de déclaration. Les études sur le biais dans l'IMC en lien avec d'autres résultats en matière de santé, tels que les maladies chroniques liées au poids (p. ex.…”
Section: Tableau 3 Répartition De L'indice De Masse Corporelle (Imc) unclassified