Background:
Systematic reviews were conducted as part of the U.S. Department of Agriculture and Department of Health and Human Services Pregnancy and Birth to 24 Months Project.
The goal of this systematic review was to examine the relationship between dietary patterns before and during pregnancy and gestational age at birth.
Conclusion Statements and Grades:
Limited but consistent evidence suggests that certain dietary patterns
higher in vegetables; fruits; whole grains; nuts, legumes and seeds; and seafood (preterm birth, only), and
lower in red and processed meats and fried foods.
Most of the research was conducted in healthy, Caucasian women with access to health care.
Grade: Limited
Evidence is insufficient to estimate the association between dietary patterns
Grade: Grade not assignable
Methods:
The systematic review was conducted by a team of Nutrition Evidence Systematic Review staff in collaboration with a Technical Expert Collaborative.
Literature searches were conducted using PubMed, Embase, Cochrane, and other databases to identify studies that evaluated the relationship between dietary patterns before and during pregnancy and gestational age at birth. A manual search was conducted to identify articles that may not have been included in the electronic databases searched. Articles were screened by two authors independently for inclusion based on pre-determined criteria.
Data from each included article were extracted, risk of bias was assessed, and both were checked for accuracy. The body of evidence was qualitatively synthesized, a conclusion statement was developed, and the strength of the evidence (grade) was assessed using pre-established criteria for internal validity/risk of bias, adequacy, consistency, impact, and generalizability.
Summary of Evidence:
This systematic review includes 10 prospective cohort studies and 1 randomized controlled trial (RCT) published between 2005 and 2016.
The studies used multiple approaches to assess dietary patterns:
Four studies used indices/scores to assess dietary patterns.
Four studies used factor or principal component analysis (PCA).
One study used both indices/scores and PCA.
One RCT assigned subjects to one of two experimental diets.
One study did not use a formal method to arrive at a dietary pattern.
Despite this variability, 5 of the 8 studies that assessed the relationship between dietary patterns during pregnancy and preterm birth found a statistically significant association. A sixth study found an association between dietary patterns during pregnancy and early preterm birth, but not preterm birth.
Highest adherence to a protective dietary pattern during pregnancy was associated with a preterm birth risk reduction of 9% to 90%.
Highest adherence to a detrimental dietary pattern during pregnancy was associated with an increase in preterm birth risk of 53% to 55%.
Additionally, 4 of the 5 studies that assessed the relationship between dietary patterns during pregnancy and spontaneous preterm birth found a statistically significant association. The fifth study showed an effect measure modification by parity.
Highest adherence to a protective dietary pattern during pregnancy was associated with a spontaneous preterm birth risk reduction of 15% to 45%.
Highest adherence to a detrimental dietary pattern during pregnancy was associated with an increase in spontaneous preterm birth risk of 18% to 92%.
There is insufficient evidence to estimate the association between dietary patterns during pregnancy and gestational age at birth when measured in days.
Generalizability of the included studies is limited to healthy Caucasian women who have access to health care. Minority women and those of lower SES are underrepresented in this body of evidence.
The ability to draw strong conclusions was limited by the following issues:
The data were primarily observational in nature, limiting the ability to determine causal effect of the dietary patterns
There was heterogeneity in terms of when dietary data were assessed
There was a lack of uniformity in outcome assessment, and some studies used less robust methods than others
Key confounding factors were not consistently controlled across studies
Only two studies were conducted in the U.S, one of which was primarily conducted in adolescent girls
Minority and lower SES populations were underrepresented
There was a lack of diversity based on BMI, parity, age at conception and smoking status