Dietary patterns by cluster analysis in pregnant women

Relationship with nutrient intakes and dietary patterns in 7‐year‐old offspring

Bibliographic Data

ID15536173
AuthorsAna Amélia Freitas-Vilela (0000-0002-1122-3846, Nutritional Epidemiology Observatory, Department of Social and Applied Nutrition, Institute of Nutrition Josué de Castro Rio de Janeiro Federal University Rio de Janeiro RJ Brazil, corresponding author), Andrew Smith (0000-0001-6541-6187, University of Bristol), Andrew D A C Smith (School of Social and Community Medicine University of Bristol Bristol UK), Gilberto Kac (0000-0001-8603-9077, Nutritional Epidemiology Observatory, Department of Social and Applied Nutrition, Institute of Nutrition Josué de Castro Rio de Janeiro Federal University Rio de Janeiro RJ Brazil), Rebecca M Pearson (0000-0001-8527-3400, University of Bristol), Jon Heron (0000-0001-6199-5644, University of Bristol), Alan Emond (0000-0001-8029-2987, University of Bristol), Joseph R Hibbeln (0000-0002-4141-5611, National Institutes of Health), Maria Beatriz Trindade De Castro (0000-0001-6618-4007), Pauline M Emmett (0000-0003-1076-4779, University of Bristol)
Year2016
Volume13
Issue2
Publication date2016-10-09
Open AccessYes
TypeARTICLE
VenueMaternal and Child Nutrition (JOURNAL)
Journal identifiersISSN: 1740-8695 • E-ISSN: 1740-8709
PublisherWiley (PUBLISHER • GB)
DOI10.1111/mcn.12353
PMID27723265
OpenAlexW2511691798
LanguageEN
Citations received2
References cited35

Little is known about how dietary patterns of mothers and their children track over time. The objectives of this study are to obtain dietary patterns in pregnancy using cluster analysis, to examine women's mean nutrient intakes in each cluster and to compare the dietary patterns of mothers to those of their children. Pregnant women (n = 12 195) from the Avon Longitudinal Study of Parents and Children reported their frequency of consumption of 47 foods and food groups. These data were used to obtain dietary patterns during pregnancy by cluster analysis. The absolute and energy-adjusted nutrient intakes were compared between clusters. Women's dietary patterns were compared with previously derived clusters of their children at 7 years of age. Multinomial logistic regression was performed to evaluate relationships comparing maternal and offspring clusters. Three maternal clusters were identified: 'fruit and vegetables', 'meat and potatoes' and 'white bread and coffee'. After energy adjustment women in the 'fruit and vegetables' cluster had the highest mean nutrient intakes. Mothers in the 'fruit and vegetables' cluster were more likely than mothers in 'meat and potatoes' (adjusted odds ratio [OR]: 2.00; 95% Confidence Interval [CI]: 1.69-2.36) or 'white bread and coffee' (OR: 2.18; 95% CI: 1.87-2.53) clusters to have children in a 'plant-based' cluster. However the majority of children were in clusters unrelated to their mother dietary pattern. Three distinct dietary patterns were obtained in pregnancy; the 'fruit and vegetables' pattern being the most nutrient dense. Mothers' dietary patterns were associated with but did not dominate offspring dietary patterns

Biology · Cluster (spacecraft · Confidence interval · Environmental health · Food group · Logistic regression · Nutrient · Nutrient density · Odds ratio · Offspring · Pregnancy · Refined grains · Whole grains · Demography · Health, Environment, Cognitive Aging · Medicine · Nutritional Studies and Diet · Obesity, Physical Activity, Diet · Ecology · Food Science · Internal Medicine

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