Evidence map›Paper›PMID 34301273›Full record

ArticleThe international journal of behavioral nutrition and physical activity2021

Using food network analysis to understand meal patterns in pregnant women with high and low diet quality.

Carolina Schwedhelm, Leah M Lipsky, Grace E Shearrer, Grace M Betts, Aiyi Liu, Khalid Iqbal, Myles S Faith, Tonja R Nansel

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02217462 (Diet, Obesity, and Weight Change in Pregnancy), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 26% 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.

NCT02217462 completednot on this map

Diet, Obesity, and Weight Change in Pregnancy

TypeobservationalSponsorEunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)Ran2014 to 2018Enrolled458ConditionsPregnancy
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Diets to promote healthy brain ageing.Nature reviews. Neurology · 2025
    Review
  10. Advances in methods for characterizing dietary patterns: A scoping review.medRxiv : the preprint server for health sciences · 2024
    Article
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

8 authors at 4 institutions in 3 countries.

Carolina SchwedhelmSocial and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA. carolina.schwedhelm@mdc-berlin.de.ORCID 0000-0001-7617-6641
Leah M LipskySocial and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
Grace E ShearrerDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, NC, USA.
Grace M BettsSocial and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
Aiyi LiuBiostatistics and Bioinformatics Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
Khalid IqbalDepartment of Human Nutrition, Institute of Basic Medical Sciences, Khyber Medical University, Peshawar, Pakistan.
Myles S FaithDepartment of Counseling, School and Educational Psychology, University at Buffalo Graduate School of Education, Buffalo, NY, USA.
Tonja R NanselSocial and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
National Institutes of Health · USKhyber Medical University · PKUniversity at Buffalo, State University of New York · USUniversity of North Carolina at Chapel Hill · US

Funding

Diet, Weight Change, and Obesity in Pregnancy / Pregnancy Eating Attributes (PEAS)ZIAHD008942 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI NANSEL, TONJA · 2014 to 2025
$7.8M
NICHD NIH HHS HHSN275201300012CNICHD NIH HHS HHSN275201300026I
6 · The paper itself

Abstract

backgroundLittle is known about how meal-specific food intake contributes to overall diet quality during pregnancy, which is related to numerous maternal and child health outcomes. Food networks are probabilistic graphs using partial correlations to identify relationships among food groups in dietary intake data, and can be analyzed at the meal level. This study investigated food networks across meals in pregnant women and explored differences by overall diet quality classification.

methodsWomen were asked to complete three 24-h dietary recalls throughout pregnancy (n = 365) within a prospective cohort study in the US. Pregnancy diet quality was evaluated using the Healthy Eating Index-2015 (HEI, range 0-100), calculated across pregnancy. Networks from 40 food groups were derived for women in the highest and lowest HEI tertiles at each participant-labeled meal (i.e., breakfast, lunch, dinner, snacks) using Gaussian graphical models. Network composition was qualitatively compared across meals and between HEI tertiles.

resultsIn both HEI tertiles, breakfast food combinations comprised ready-to-eat cereals with milk, quick breads with sweets (e.g., pancakes with syrup), and bread with cheese and meat. Vegetables were consumed at breakfast among women in the high HEI tertile only. Combinations at lunch and dinner were more varied, including vegetables with oils (e.g., salads) in the high tertile and sugary foods with nuts, fruits, and milk in the low tertile at lunch; and cooked grains with fats (e.g., pasta with oil) in the high tertile and potatoes with vegetables and meat in the low tertile at dinner. Fried potatoes, sugar-sweetened beverages, and sandwiches were consumed together at all main meals in the low tertile only. Foods were consumed individually at snacks in both tertiles; the most commonly consumed food were fruits in the high HEI tertile and cakes & cookies in the low tertile.

conclusionsIn this cohort of pregnant women, food network analysis indicated that food combinations differed by meal and between HEI tertiles. Meal-specific patterns that differed between diet quality tertiles suggest potential targets to improve food choices at meals; the impact of meal-based dietary modifications on intake of correlated foods and on overall diet quality should be investigated in simulations and intervention studies.

trial registrationPEAS was registered with number NCT02217462 in Clinicaltrials.gov on August 13, 2014.

Indexed as

DietFeeding BehaviorPregnant PeopleAdultCross-Sectional StudiesFemaleHumansMealsPregnancyProspective StudiesBreakfastDiet qualityDinnerGaussian graphical modelsHealthy eating indexLunchMealsNetwork analysisPregnancySnacks

Identifiers

PMID34301273
PMCPMC8306349
OpenAlexW3184821133

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.