Evidence map›Paper›PMID 31349808›Full record

ArticleBMC pregnancy and childbirth2019

Maternal vegetable intake during and after pregnancy.

Alison Tovar, Jill L Kaar, Karen McCurdy, Alison E Field, Dana Dabelea, Maya Vadiveloo

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Frozen and Canned Produce Use and WIC Cash-Value Benefit Redemption in a Tribal Organization.International journal of environmental research and public health · 2026
    Article
  3. Article
  4. Identifying Factors Associated With Breastfeeding Length Among Filipino Migrant Women in South Korea.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Alison TovarDepartment of Nutrition and Food Sciences, University of Rhode Island, 41 Lower College Road, Kingston, RI, 02881, USA. Alison_tovar@uri.edu.ORCID http://orcid.org/0000-0002-1559-592X
Jill L KaarDepartment of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Karen McCurdyDepartment of Human Development and Family Studies, University of Rhode Island, Kingston, RI, USA.
Alison E FieldDepartment of Epidemiology, Brown University, Providence, RI, USA.
Dana DabeleaDepartment of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Maya VadivelooDepartment of Nutrition and Food Sciences, University of Rhode Island, 41 Lower College Road, Kingston, RI, 02881, USA.
University of Rhode Island · USColorado School of Public Health · USBrown University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImproved understanding of vegetable intake changes between pregnancy and postpartum may inform future intervention targets to establish healthy home food environments. Therefore, the goal of this study was to explore the changes in vegetable intake between pregnancy and the postnatal period and explore maternal and sociodemographic factors that are associated with these changes.

methodsWe examined sociodemographic, dietary, and health characteristics of healthy mothers 18-43y from the prospective Infant Feeding Practices II cohort (n = 847) (2005-2012). Mothers completed a modified version of the diet history questionnaire, a food-frequency measure, developed by the National Cancer Institute. We created four categories of mothers, those that were: meeting vegetable recommendations post- but not prenatally (n = 121; improved intake), not meeting vegetable recommendations during pregnancy and postnatally (n = 370; stable inadequate), meeting recommendations pre- but not postnatally (n = 123; reduced intake), and meeting recommendations at both time points (n = 233; stable adequate). To make our results more relevant to public health recommendations, we were interested in comparing the improved vegetable intake group vs. stable inadequate vegetable intake group, as well as those that reduced their vegetable intake compared to the stable adequate vegetable intake group. Separate multivariable-adjusted logistic regression were used to examine sociodemographic predictors of improved vs. stable inadequate and reduced vs. stable adequate vegetable intake.

resultsWomen with improved vegetable intake vs. stable inadequate smoked fewer cigarettes while women with reduced vegetable intake vs. stable adequate were more likely to experience less pregnancy weight gain. In adjusted models, employed women had greater odds of reduced vegetable intake (OR = 1.64 95% CI 1.14-2.36). In exploratory analyses, employment was associated with greater odds of reduced vegetable intake among low-income (OR = 1.79; 95% CI 1.03-3.1), but not higher income women (OR = 1.31; 95% CI 0.94-1.84). After further adjustment for paid maternity leave, employment was no longer associated with vegetable intake among lower income women (OR: 1.53; 95% CI: 0.76-3.05).

conclusionsMore women with reduced vs. stable adequate vegetable intake were lower income and worked full time. Improved access to paid maternity leave may help reduce disparities in vegetable quality between lower and higher income women.

Indexed as

Health BehaviorVegetablesAdultDietFeeding BehaviorFemaleHumansMaternal HealthMothersPostpartum PeriodPregnancyProspective StudiesYoung AdultEmploymentMaternity leavePregnancyVegetable intake

Identifiers

PMID31349808
PMCPMC6660649
OpenAlexW2964365172

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.