1. A maternal dietary pattern characterised by fish and seafood in association with the risk of congenital heart defects in the offspring
- Author
-
E.A.P. Steegers, Sylvia A. Obermann-Borst, R. de Jonge, J.H.M. de Vries, Caspar W. N. Looman, Mark F. Wildhagen, Marijana Vujkovic, and Régine P.M. Steegers-Theunissen
- Subjects
medicine.medical_specialty ,Pregnancy ,Homocysteine ,business.industry ,Offspring ,Obstetrics and Gynecology ,Physiology ,Odds ratio ,Dietary pattern ,medicine.disease ,Confidence interval ,chemistry.chemical_compound ,Endocrinology ,chemistry ,Internal medicine ,Medicine ,Biomarker (medicine) ,%22">Fish ,business - Abstract
Please cite this paper as: Obermann-Borst S, Vujkovic M, de Vries J, Wildhagen M, Looman C, de Jonge R, Steegers E, Steegers-Theunissen R. A maternal dietary pattern characterised by fish and seafood in association with the risk of congenital heart defects in the offspring. BJOG 2011; DOI: 10.1111/j.1471-0528.2011.02984.x. Objective To identify maternal dietary patterns related to biomarkers of methylation and to investigate associations between these dietary patterns and the risk of congenital heart defects (CHDs) in the offspring. Design Case–control study. Setting Western part of the Netherlands, 2003–08. Population One hundred and seventy-nine mothers of children with CHD and 231 mothers of children without a congenital malformation. Methods Food intake was obtained by food frequency questionnaires. The reduced rank regression method was used to identify dietary patterns related to the biomarker concentrations of methylation in blood. Main outcome measures Dietary patterns, vitamin B and homocysteine concentrations, biomarkers of methylation (S-adenosylmethionine [SAM] and S-adenosylhomocysteine [SAH]) and the risk of CHD estimated by odds ratios and 95% confidence intervals. Results The one-carbon-poor dietary pattern, comprising a high intake of snacks, sugar-rich products and beverages, was associated with SAH (β = 0.92, P
- Published
- 2011
- Full Text
- View/download PDF