Evidence map›Paper›PMID 27237796›Full record

ArticleClinical nutrition (Edinburgh, Scotland)2017

Validity and reliability of a 4-compartment body composition model using dual energy x-ray absorptiometry-derived body volume.

Abbie E Smith-Ryan, Meredith G Mock, Eric D Ryan, Gena R Gerstner, Eric T Trexler, Katie R Hirsch

Registry-linked trialAbstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical nutrition (Edinburgh, Scotland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05775003 (Effects of Adding L-BAIBA or L-BAIBA + Grains of Paradise to Exercising Adult Overweight and Obese Men and Women on Changes in Body Composition, Resting Metabolic, and Cardiometabolic Risk Factors), which is not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 4% 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.

NCT05775003 nacompletednot on this mapstarted 2023, after this paper: background citation

Effects of Adding L-BAIBA or L-BAIBA + Grains of Paradise to Exercising Adult Overweight and Obese Men and Women on Changes in Body Composition, Resting Metabolic, and Cardiometabolic Risk Factors

TypeinterventionalSponsorLindenwood UniversityRan2023 to 2024Enrolled37ConditionsObese, Weight Loss, Body Weight, Cardiometabolic SyndromeArmsExercise
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 102 citations in OpenAlex.

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  17. Multicomponent density models for body composition: Review of the dual energy X-ray absorptiometry volume approach.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
    Review
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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 1 institution in 1 country.

Abbie E Smith-RyanDepartment of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Allied Health Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: abbsmith@email.unc.edu.
Meredith G MockDepartment of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Eric D RyanDepartment of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Allied Health Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Gena R GerstnerDepartment of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Eric T TrexlerDepartment of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Katie R HirschDepartment of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
University of North Carolina at Chapel Hill · US

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
Occupational Safety and Health and Education Research CenterT42OH008673 · OH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NYLANDER-FRENCH, LEENA A · 2005 to 2025
$27.3M
North Carolina Translational & Clinical Sciences Institute (NC TraCS)KL2TR001109 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$5.7M
ACL HHS T42OH008673NCATS NIH HHS KL2 TR001109NIDDK NIH HHS P30 DK056350NIOSH CDC HHS T42 OH008673
6 · The paper itself

Abstract

backgroundBody volume (BV), one component of a four-compartment (4C) body composition model, is commonly assessed using air displacement plethysmography (BodPod). However, dual-energy x-ray absorptiometry (DEXA) has been proposed as an alternative method for calculating BV.

aimsThis investigation evaluated the validity and reliability of DEXA-derived BV measurement and a DEXA-derived 4C model (DEXA-4C) for percent body fat (%BF), fat mass (FM), and lean mass (LM).

methodsA total sample of 127 men and women (Mean ± SD; Age: 35.8 ± 9.4 years; Body Mass: 98.1 ± 20.9 kg; Height: 176.3 ± 9.2 cm) completed a traditional 4C body composition reference assessment. A DEXA-4C model was created by linearly regressing BodPod BV with DEXA FM, LM, and bone mineral content as independent factors. The DEXA-4C model was validated in a random sub-sample of 27 subjects. Reliability was evaluated in a sample of 40 subjects that underwent a second session of identical testing.

resultsWhen BV derived from DEXA was applied to a 4C model, there were no significant differences in %BF (p = 0.404), FM (p = 0.295), or LM (p = 0.295) when compared to the traditional 4C model. The approach was also reliable; BV was not different between trials (p = 0.170). For BV, %BF, FM, and LM relative consistency values ranged from 0.995 to 0.998. Standard error of measurement for BV was 0.62 L, ranging from 0.831 to 0.960 kg. There were no significant differences between visits for %BF (p = 0.075), FM (p = 0.275), or LM (p = 0.542).

conclusionThe DEXA-4C model appears to be a valid and reliable method of estimating %BF, FM, and LM. The prediction of BV from DEXA simplifies the acquisition of 4C body composition by eliminating the need for an additional BV assessment.

Indexed as

Absorptiometry, PhotonBody CompositionAdultBody HeightBody Mass IndexBody WeightElectric ImpedanceFemaleHumansMaleMiddle AgedPlethysmographyReproducibility of ResultsAnthropometryBioelectrical impedanceFat massLean massPercent body fat

Identifiers

PMID27237796
PMCPMC5110400
OpenAlexW2368681520

What OpenQuestion holds

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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.