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Weight gain and dietary intake during pregnancy in industrialized countries - a systematic review of observational studies.
MedLine Citation:
PMID:  21070130     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Abstract Background: Gestational weight gain (GWG) above the recently recommended ranges is likely to be related to adverse pregnancy outcomes and therefore a challenge in industrialized countries. Aims: We conducted a systematic review on observational studies in order to gain more evidence on whether diets with lower caloric/protein content or other diets might be associated with lower GWG. Methods: We searched in MEDLINE and EMBASE for observational studies written in English or German reporting associations between diet and GWG in singleton pregnancies of healthy women in industrialized countries. Results: We identified 12 studies which met the inclusion criteria. Five studies suggested significant positive associations between energy intake and GWG, whereas three found no significant association. Further significant positive associations of GWG were reported with respect to protein intake, animal lipids, energy density and a number of different food servings per day, whereas intake of carbohydrates and vegetarian diet were associated with less GWG. Conclusions: We suggest that GWG might be reduced by lower energy intake in pregnancy.
Authors:
Ina Streuling; Andreas Beyerlein; Eva Rosenfeld; Britta Schukat; Rüdiger von Kries
Publication Detail:
Type:  Journal Article     Date:  2010-11-11
Journal Detail:
Title:  Journal of perinatal medicine     Volume:  39     ISSN:  1619-3997     ISO Abbreviation:  J Perinat Med     Publication Date:  2011 Mar 
Date Detail:
Created Date:  2011-03-10     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0361031     Medline TA:  J Perinat Med     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  123-9     Citation Subset:  IM    
Affiliation:
Institute of Social Paediatrics and Adolescent Medicine, Division of Epidemiology, Ludwig-Maximilians-University Munich, Germany.
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