Evidence map›Paper›PMID 37414360›Full record

ArticleThe Journal of nutrition2023

Evaluation of a Rapid Four-Compartment Model and Stand-Alone Methods in Hispanic Adults.

Brett S Nickerson, Grant M Tinsley, Kyung-Shin Park, Bassel Nassar, Stefan A Czerwinski

Open access · greenAbstract read
In one paragraph

Article in The Journal of nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. 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

5 authors at 3 institutions in 1 country.

Brett S NickersonSchool of Health and Rehabilitation Sciences, College of Medicine, The Ohio State University, Columbus, OH, United States; College of Nursing and Health Sciences, Texas A & M International University, Laredo, TX, United States. Electronic address: brett.nickerson@osumc.edu.
Grant M TinsleyDepartment of Kinesiology and Sport Management, Texas Tech University, Lubbock, TX, United States.
Kyung-Shin ParkCollege of Nursing and Health Sciences, Texas A & M International University, Laredo, TX, United States.
Bassel NassarSchool of Health and Rehabilitation Sciences, College of Medicine, The Ohio State University, Columbus, OH, United States.
Stefan A CzerwinskiSchool of Health and Rehabilitation Sciences, College of Medicine, The Ohio State University, Columbus, OH, United States.
Texas A&M International University · USThe Ohio State University · USTexas Tech University · US

Funding

Critical Analysis of a Rapid 4-compartment Model in Hispanic Adults:Effect of Age and Level of Body FatnessSC1GM135099 · NIGMS · TEXAS A&M INTERNATIONAL UNIVERSITY · PI NICKERSON, BRETT STEPHEN · 2021 to 2022
$501k
NIGMS NIH HHS SC1 GM135099
6 · The paper itself

Abstract

backgroundA rapid 4-compartment (4C) model integrates dual-energy x-ray absorptiometry (DXA) and multi-frequency bioimpedance analysis (MFBIA), which may be useful for clinical and research settings seeking to employ a multi-compartment model.

objectivesThis study aimed to determine the added benefit of a rapid 4C model over stand-alone DXA and MFBIA when estimating body composition.

methodsOne hundred and thirty participants (n = 60 male; n = 70 female) of Hispanic descent were included in the present analysis. A criterion 4C model that employed air displacement plethysmography (body volume), deuterium oxide (total body water), and DXA (bone mineral) was used to measure fat mass (FM), fat-free mass (FFM), and body fat percent (%BF). A rapid 4C model (DXA-derived body volume and bone mineral; MFBIA-derived total body water) and stand-alone DXA (GE Lunar Prodigy) and MFBIA (InBody 570) assessments were compared against the criterion 4C model.

resultsLin's concordance correlation coefficient values were >0.90 for all comparisons. The standard error of the estimates ranged from 1.3 to 2.0 kg, 1.6 to 2.2 kg, and 2.1 to 2.7% for FM, FFM, and %BF, respectively. The 95% limits of agreement ranged from ±3.0 to 4.2 kg, ±3.1 to 4.2 kg, and ±4.9 to 5.2% for FM, FFM, and %BF, respectively.

conclusionsResults revealed that all 3 methods provided acceptable body composition results. The MFBIA device used in the current study may be a more economically friendly option than DXA or when there is a need to minimize radiation exposure. Nonetheless, clinics and laboratories that already have a DXA device in place or that value having the lowest individual error when conducting a test may consider continuing to use the machine. Lastly, a rapid 4C model may be useful for assessing body composition measures observed in the current study and those provided by a multi-compartment model (e.g., protein).

Indexed as

Adipose TissueBody CompositionAbsorptiometry, PhotonAdultElectric ImpedanceFemaleHispanic or LatinoHumansMaleMineralsReproducibility of ResultsMineralsadipositybod poddilutionhydrationlean massvalidation

Identifiers

PMID37414360
PMCPMC10447617
OpenAlexW4383065674

What OpenQuestion holds

Textmetadata
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.