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Pre-pregnancy dietary pattern is associated with newborn size: results from ProcriAr study

Published online by Cambridge University Press:  01 December 2020

Juliana A. Teixeira
Affiliation:
Department of Nutrition, School of Public Health, University of Sao Paulo, Sao Paulo-SP 01246-904, Brazil
Daniel J. Hoffman
Affiliation:
Department of Nutritional Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901-8520, USA
Teresa G. Castro
Affiliation:
Nutrition Section, Faculty of Medical Sciences, University of Auckland, Auckland 1023, New Zealand Department of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland 1142, New Zealand
Silvia Regina D. M. Saldiva
Affiliation:
Department of Health, Health Institute of Sao Paulo State, Sao Paulo-SP 01314-000, Brazil
Rossana P. V. Francisco
Affiliation:
Disciplina de Obstetricia, Departamento de Obstetricia e Ginecologia, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo-SP 05403-000, Brazil
Sandra Elisabete Vieira
Affiliation:
Department of Paediatrics, School of Medicine, University of Sao Paulo, Sao Paulo-SP 05403-000, Brazil
Dirce Maria Marchioni
Affiliation:
Department of Nutrition, School of Public Health, University of Sao Paulo, Sao Paulo-SP 01246-904, Brazil
Corresponding
E-mail address:

Abstract

Babies born small-for-gestational age (SGA) have an increased risk of mortality, morbidity and adverse functional consequences. Studies suggest that pre-pregnancy maternal diet may influence newborns’ size. This study aimed to determine whether maternal pre-pregnancy dietary patterns (DP) are associated with delivering SGA newborns in the ProcriAr Cohort Study, Sao Paulo-Brazil. Pre-pregnancy DP of 299 women were investigated using factor analysis with principal component’s estimation, based on intake reported on a validated 110-item FFQ. Newborns were classified as SGA if their weight and/or length, adjusted by gestational age and sex, were below the 10th percentile of the INTERGROWTH-21st standards. Multivariate Poisson regression modelling with robust error variance was performed to examine associations between the different DP (in quintiles) and SGA. In a model adjusted by maternal sociodemographic and health behaviours, women who scored in the highest quintile of the DP ‘Snacks, sandwiches, sweets and soft drinks’ (in relation to the women who scored in the lowest quintile) were significantly more likely to deliver SGA babies (relative risk 1·92; 95 % CI 1·08, 3·39). This study verified that women’s pre-pregnancy dietary behaviour characterised by an energy-dense nutrient-poor food intake was a risk factor for delivering SGA newborns. Investments in education and improved access to healthful food and nutritional information before pregnancy should be prioritised due to their potential positive impact on child health. However, further studies are warranted to identify specific metabolic pathways that may be underlying these associations.

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Full Papers
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of The Nutrition Society

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