» Articles » PMID: 26569303

A Priori and a Posteriori Dietary Patterns During Pregnancy and Gestational Weight Gain: The Generation R Study

Overview
Journal Nutrients
Date 2015 Nov 17
PMID 26569303
Citations 33
Authors
Affiliations
Soon will be listed here.
Abstract

Abnormal gestational weight gain (GWG) is associated with adverse pregnancy outcomes. We examined whether dietary patterns are associated with GWG. Participants included 3374 pregnant women from a population-based cohort in the Netherlands. Dietary intake during pregnancy was assessed with food-frequency questionnaires. Three a posteriori-derived dietary patterns were identified using principal component analysis: a "Vegetable, oil and fish", a "Nuts, high-fiber cereals and soy", and a "Margarine, sugar and snacks" pattern. The a priori-defined dietary pattern was based on national dietary recommendations. Weight was repeatedly measured around 13, 20 and 30 weeks of pregnancy; pre-pregnancy and maximum weight were self-reported. Normal weight women with high adherence to the "Vegetable, oil and fish" pattern had higher early-pregnancy GWG than those with low adherence (43 g/week (95% CI 16; 69) for highest vs. lowest quartile (Q)). Adherence to the "Margarine, sugar and snacks" pattern was associated with a higher prevalence of excessive GWG (OR 1.45 (95% CI 1.06; 1.99) Q4 vs. Q1). Normal weight women with higher scores on the "Nuts, high-fiber cereals and soy" pattern had more moderate GWG than women with lower scores (-0.01 (95% CI -0.02; -0.00) per SD). The a priori-defined pattern was not associated with GWG. To conclude, specific dietary patterns may play a role in early pregnancy but are not consistently associated with GWG.

Citing Articles

Association of dietary patterns of pregnant women with pregnancy outcomes: A hospital-based study.

Ghorbani-Kafteroodi S, Ghiasvand M, Saghafi-Asl M, Kazemi Aski S Food Sci Nutr. 2023; 11(12):8072-8081.

PMID: 38107120 PMC: 10724595. DOI: 10.1002/fsn3.3726.


An epigenome-wide association study of child appetitive traits and DNA methylation.

Harris H, Friedman C, Starling A, Dabelea D, Johnson S, Fuemmeler B Appetite. 2023; 191:107086.

PMID: 37844693 PMC: 11156223. DOI: 10.1016/j.appet.2023.107086.


Association between 1 trimester diet quality & gestational weight gain rate among pregnant women in Dhulikhel, Nepal.

Martin K, Rigassio Radler D, Sackey J, Zhang C, Shrestha K, Shrestha A BMC Nutr. 2022; 8(1):129.

PMID: 36369060 PMC: 9650875. DOI: 10.1186/s40795-022-00623-7.


Maternal Consumption of Ultra-Processed Foods-Rich Diet and Perinatal Outcomes: A Systematic Review and Meta-Analysis.

Paula W, Patriota E, Goncalves V, Pizato N Nutrients. 2022; 14(15).

PMID: 35956418 PMC: 9370797. DOI: 10.3390/nu14153242.


Association and Correlation Between Amniotic Fluid Index and Glucose Concentration.

Khanduri S, Chawla H, Khan A, Lnu S, Pathak V, Gupta A Cureus. 2022; 14(6):e25973.

PMID: 35855256 PMC: 9286010. DOI: 10.7759/cureus.25973.


References
1.
Van Loan M, Wong W, King J . Fat mass deposition during pregnancy using a four-component model. J Appl Physiol (1985). 1999; 87(1):196-202. DOI: 10.1152/jappl.1999.87.1.196. View

2.
Hu F . Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002; 13(1):3-9. DOI: 10.1097/00041433-200202000-00002. View

3.
Olson C, Strawderman M . Modifiable behavioral factors in a biopsychosocial model predict inadequate and excessive gestational weight gain. J Am Diet Assoc. 2003; 103(1):48-54. DOI: 10.1053/jada.2003.50001. View

4.
Kipnis V, Subar A, Midthune D, Freedman L, Ballard-Barbash R, Troiano R . Structure of dietary measurement error: results of the OPEN biomarker study. Am J Epidemiol. 2003; 158(1):14-21; discussion 22-6. DOI: 10.1093/aje/kwg091. View

5.
Butte N, Ellis K, Wong W, Hopkinson J, OBrian Smith E . Composition of gestational weight gain impacts maternal fat retention and infant birth weight. Am J Obstet Gynecol. 2003; 189(5):1423-32. DOI: 10.1067/s0002-9378(03)00596-9. View