Evidence map›Paper›PMID 34558804›Full record

ArticlePediatric obesity2022

Anthropometric models to estimate fat mass at 3 days, 15 and 54 weeks.

Mahalakshmi Gopalakrishnamoorthy, Kathryn Whyte, Michelle Horowitz, Elizabeth Widen, Tatiana Toro-Ramos, Jill Johnson, Sonia Gidwani, Charles Paley, Barak Rosenn, Susan Lin and 3 more

Abstract read
In one paragraph

Article in Pediatric obesity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Beyond Deterministic Fetal Programming: Intrauterine Exposures and the Multifactorial Origins of Adiposity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Review
  3. Article
  4. Observational
  5. Article
  6. 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

13 authors.

Mahalakshmi GopalakrishnamoorthyDivision of Pediatric Endocrinology, Columbia University Irving Medical Center, New York, New York, USA.ORCID 0000-0003-4019-8878
Kathryn WhyteDivision of Endocrinology, Department of Medicine, New York Nutrition Obesity Research Center, Columbia University Irving Medical Center, New York, New York, USA.ORCID 0000-0002-2914-8688
Michelle HorowitzDivision of Endocrinology, Department of Medicine, New York Nutrition Obesity Research Center, Columbia University Irving Medical Center, New York, New York, USA.
Elizabeth WidenDivision of Endocrinology, Department of Medicine, New York Nutrition Obesity Research Center, Columbia University Irving Medical Center, New York, New York, USA.
Tatiana Toro-RamosDivision of Endocrinology, Department of Medicine, New York Nutrition Obesity Research Center, Columbia University Irving Medical Center, New York, New York, USA.
Jill JohnsonDivision of Endocrinology, Department of Medicine, New York Nutrition Obesity Research Center, Columbia University Irving Medical Center, New York, New York, USA.
Sonia GidwaniDepartment Pediatrics, Mount Sinai West Hospital, Mount Sinai Health System, Icahn School of Medicine, New York, New York, USA.
Charles PaleyDepartment Pediatrics, Mount Sinai West Hospital, Mount Sinai Health System, Icahn School of Medicine, New York, New York, USA.
Barak RosennDepartment of Obstetrics and Gynecology, Mount Sinai West Hospital, Mount Sinai Health System, Icahn School of Medicine, New York, New York, USA.
Susan LinCenter for Family and Community Medicine, Columbia University, New York, New York, USA.
John ThorntonConsultant, New York, New York, USA.
Xavier Pi-SunyerDivision of Endocrinology, Department of Medicine, New York Nutrition Obesity Research Center, Columbia University Irving Medical Center, New York, New York, USA.
Dympna GallagherDivision of Endocrinology, Department of Medicine, New York Nutrition Obesity Research Center, Columbia University Irving Medical Center, New York, New York, USA.

Funding

RESEARCH TRAININGP30DK026687 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI Anthony W Ferrante, DYMPNA GALLAGHER · 1986 to 2026
$33.0M
Predictors of Recidivism to Obesity in Weight-Reduced IndividualsUH3DK128302 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DYMPNA GALLAGHER, RUDOLPH L LEIBEL · 2022 to 2026
$7.0M
Weight Management in Obese Pregnant Underserved African American WomenU01DK094416 · NIDDK · WASHINGTON UNIVERSITY · PI CAHILL, ALISON G, HAIRE-JOSHU, DEBRA · 2011 to 2017
$5.3M
Lifestyle Interventions in Overweight and Obese Pregnant WomenU01DK094463 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI GALLAGHER, DYMPNA, PI-SUNYER, XAVIER · 2011 to 2017
$5.3M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI Catherine A Calder · 2017 to 2026
$5.2M
Maternal-Offspring Metabolics: Family Intervention Trial (MOMFIT)U01HL114344 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI PEACEMAN, ALAN M, VAN HORN, LINDA VERNER · 2011 to 2017
$4.9M
Training Grant in Pediatric Endocrinology, Diabetes and MetabolismT32DK065522 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHARON E. OBERFIELD · 2005 to 2026
$4.6M
Preventing excessive gestational weight gain in obese womenU01HL114377 · NHLBI · CALIFORNIA POLY STATE U SAN LUIS OBISPO · PI PHELAN, SUZANNE · 2011 to 2016
$4.5M
OBESITY RESEARCH CENTER TRAINING PROGRAMT32DK007559 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI DYMPNA GALLAGHER · 1989 to 2026
$4.3M
RCU for Lifestyle Interventions in Overweight and Obese Pregnant Women ConsortiumU01DK094466 · NIDDK · GEORGE WASHINGTON UNIVERSITY · PI CLIFTON, REBECCA GERSNOVIEZ, DREWS, KIMBERLY LEE · 2011 to 2016
$4.1M
Pregnancy and EARly Lifestyle improvement Study (PEARLS)U01HD072834 · NICHD · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI FRANKS, PAUL WILLIAM, JOSHIPURA, KAUMUDI J · 2011 to 2016
$3.7M
Expecting Success: Personalized management of body weight during pregnancyU01DK094418 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI REDMAN, LEANNE MAREE · 2011 to 2015
$2.8M
NHLBI NIH HHS U01 HL114344NHLBI NIH HHS U01 HL114377NICHD NIH HHS K99 HD086304NICHD NIH HHS P2C HD042849NICHD NIH HHS R00 HD086304NICHD NIH HHS U01 HD072834NIDDK NIH HHS P30 DK026687NIDDK NIH HHS T32 DK007559NIDDK NIH HHS T32 DK065522NIDDK NIH HHS T32 DK091227NIDDK NIH HHS U01 DK094416NIDDK NIH HHS U01 DK094418NIDDK NIH HHS U01 DK094463NIDDK NIH HHS U01 DK094466NIDDK NIH HHS UH3 DK128302
6 · The paper itself

Abstract

backgroundCurrently available infant body composition measurement methods are impractical for routine clinical use. The study developed anthropometric equations (AEs) to estimate fat mass (FM, kg) during the first year using air displacement plethysmography (PEA POD® Infant Body Composition System) and Infant quantitative magnetic resonance (Infant-QMR) as criterion methods.

methodsMulti-ethnic full-term infants (n = 191) were measured at 3 days, 15 and 54 weeks. Sex, race/ethnicity, gestational age, age (days), weight-kg (W), length-cm (L), head circumferences-cm (HC), skinfold thicknesses mm [triceps (TRI), thigh (THI), subscapular (SCP), and iliac (IL)], and FM by PEA POD® and Infant-QMR were collected. Stepwise linear regression determined the model that best predicted FM.

resultsWeight, length, head circumference, and skinfolds of triceps, thigh, and subscapular, but not iliac, significantly predicted FM throughout infancy in both the Infant-QMR and PEA POD models. Sex had an interaction effect at 3 days and 15 weeks for both the models. The coefficient of determination [R

conclusionsBoth PEA POD and Infant-QMR derived models predict FM using skinfolds, weight, head circumference, and length with acceptable R

Indexed as

Body CompositionPlethysmographyAdipose TissueAnthropometryHumansInfantSkinfold ThicknessThighbody compositioninfancyinfant-QMRPEAPODpediatrics

Identifiers

PMID34558804
PMCPMC8821135

What OpenQuestion holds

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Registered trials

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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.