Evidence map›Paper›PMID 29230355›Full record

ArticlePeerJ2017

Relationships between consumption of ultra-processed foods, gestational weight gain and neonatal outcomes in a sample of US pregnant women.

Karthik W Rohatgi, Rachel A Tinius, W Todd Cade, Euridice Martínez Steele, Alison G Cahill, Diana C Parra

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 4 pooled it
9.2field-weighted citation impact, top 2% 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

64 citing papers in PubMed, 4 syntheses or guidelines pooled it, 127 citations in OpenAlex.

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4 more citing papers are in PubMed but not listed here.

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 2 countries.

Karthik W RohatgiProgram in Physical Therapy, Washington University School of Medicine, St. Louis, MO, United States of America.
Rachel A TiniusSchool of Kinesiology, Recreation, and Sport, Western Kentucky University, Bowling Green, KY, United States of America.
W Todd CadeProgram in Physical Therapy, Washington University School of Medicine, St. Louis, MO, United States of America.
Euridice Martínez SteeleDepartment of Nutrition, University of São Paulo, São Paulo, Brazil.
Alison G CahillDepartment of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, United States of America.
Diana C ParraProgram in Physical Therapy, Washington University School of Medicine, St. Louis, MO, United States of America.
Washington University in St. Louis · USUniversidade de São Paulo · BRWestern Kentucky University · US

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational Sciences (UL1)UL1RR024992 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$45.4M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Jonathan R Brestoff · 1999 to 2026
$30.2M
WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI Clay F. Semenkovich · 2013 to 2026
$27.1M
TRANSGENICS COREP60DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI SCHAFFER, JEAN E. · 1986 to 2012
$25.2M
Weight Management in Obese Pregnant Underserved African American WomenU01DK094416 · NIDDK · WASHINGTON UNIVERSITY · PI CAHILL, ALISON G, HAIRE-JOSHU, DEBRA · 2011 to 2017
$5.3M
Washington University Institute of Clinical and Translational SciencesTL1TR000449 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$2.5M
NCATS NIH HHS TL1 TR000449NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NCRR NIH HHS UL1 RR024992NIDDK NIH HHS P30 DK020579NIDDK NIH HHS P30 DK056341NIDDK NIH HHS P60 DK020579NIDDK NIH HHS U01 DK094416
6 · The paper itself

Abstract

backgroundAn increasingly large share of diet comes from ultra-processed foods (UPFs), which are assemblages of food substances designed to create durable, convenient and palatable ready-to-eat products. There is increasing evidence that high UPF consumption is indicative of poor diet and is associated with obesity and metabolic disorders. This study sought to examine the relationship between percent of energy intake from ultra-processed foods (PEI-UPF) during pregnancy and maternal gestational weight gain, maternal lipids and glycemia, and neonatal body composition. We also compared the PEI-UPF indicator against the US government's Healthy Eating Index-2010 (HEI-2010).

methodsData were used from a longitudinal study performed in 2013-2014 at the Women's Health Center and Obstetrics & Gynecology Clinic in St. Louis, MO, USA. Subjects were pregnant women in the normal and obese weight ranges, as well as their newborns (

resultsAn average of 54.4 ± 13.2% of energy intake was derived from UPFs. A 1%-point increase in PEI-UPF was associated with a 1.33 kg increase in gestational weight gain ( DISCUSSION: PEI-UPF (percent of energy intake from ultra-processed foods) was associated with and may be a useful predictor of increased gestational weight gain and neonatal body fat. PEI-UPF was a better predictor of all tested outcomes than either total energy or fat intake, and a better predictor of the three infant body fat measures than HEI-2010. UPF consumption should be limited during pregnancy and diet quality should be maximized in order to improve maternal and neonatal health.

Indexed as

Birth outcomesGestational weight gainNeonatal body compositionUltra-processed foods

Identifiers

PMID29230355
PMCPMC5723430
OpenAlexW2774830706

What OpenQuestion holds

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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.