Evidence map›Paper›PMID 32289811›Full record

ArticlePediatric research2021

A hospital-based cohort study of gender and gestational age-specific body fat percentage at birth.

Tracey Leigh Lutz, Alice Elizabeth Burton, Jon Anthony Hyett, Kevin McGeechan, Adrienne Gordon

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Pediatric research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 54% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Observational
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

5 authors at 2 institutions in 1 country.

Tracey Leigh LutzWomen's and Babies, Royal Prince Alfred Hospital, Missenden Road, Camperdown, Sydney, NSW, 2050, Australia. tracey.lutz@health.nsw.gov.au.
Alice Elizabeth BurtonWomen's and Babies, Royal Prince Alfred Hospital, Missenden Road, Camperdown, Sydney, NSW, 2050, Australia.
Jon Anthony HyettWomen's and Babies, Royal Prince Alfred Hospital, Missenden Road, Camperdown, Sydney, NSW, 2050, Australia.
Kevin McGeechanUniversity of Sydney, Sydney, NSW, 2000, Australia.
Adrienne GordonWomen's and Babies, Royal Prince Alfred Hospital, Missenden Road, Camperdown, Sydney, NSW, 2050, Australia.
University of Sydney · AURoyal Prince Alfred Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBirthweight is the most commonly used proxy marker but does not adequately define true nutritional status. Modalities like DXA (dual energy x-ray absorptiometry) and TOtal Body Electric Conductivity (TOBEC) have been validated to assess body composition but their accuracy in neonates has not been established. The PEAPOD (COSMED, Rome Italy) has been validated as an accurate tool for measuring percentage body fat (%BF) in newborns. The study aim was to determine the gender-specific %BF percentiles at different gestations (35-41 weeks) for a healthy population of newborn infants. A secondary aim was to determine whether there is any relationship between %BF and neonatal condition at birth (cord gas measurement).

methods%BF was measured using air displacement plethysmography (PEAPOD) within 6 h of birth.

resultsThere is an increase in the mean %BF with increasing gestation for female and males from 36 weeks' gestation in the 7667 infants who underwent assessment. Females have a higher %BF than their male equivalents. There was no correlation between %BF and cord pH.

conclusionGender and gestation are both important in determining the quantiles and mean %BF at birth. There was no correlation between low cord pH and %BF. IMPACT: Measuring the percentage body fat (PEAPOD) at birth is a useful marker of an infant's nutritional status. This is the largest hospital-based cohort of gestational age and gender-specific %BF in healthy newborns. The normative graphs from this study will help to accurately determine high-risk infants with low %BF so they can be monitored appropriately.

Indexed as

AdiposityInfant Nutritional Physiological PhenomenaNutritional StatusAdultCross-Sectional StudiesFemaleGestational AgeHospitals, TeachingHumansInfant, NewbornMalePlethysmographyProspective StudiesSex Factors

Identifiers

PMID32289811
OpenAlexW3015508049

What OpenQuestion holds

Textmetadata
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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.