Evidence map›Paper›PMID 41887325›Full record

ArticleClinical nutrition ESPEN2026

Abdominal posture biases 3D optical imaging measurements while bioelectrical impedance analysis remains unaffected.

Danielle M Balmores, Yong En Liu, Nisa N Kelly, John A Shepherd, Jonathan P Bennett

Abstract read
In one paragraph

Article in Clinical nutrition ESPEN, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Danielle M BalmoresDepartment of Biology, University of Guam, UOG Station, Mangilao, GU 96923, USA.
Yong En LiuDepartment of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI 96813, USA.
Nisa N KellyDepartment of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI 96813, USA.
John A ShepherdDepartment of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI 96813, USA.
Jonathan P BennettDepartment of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI 96813, USA. Electronic address: jbennett@cc.hawaii.edu.

Funding

Cancer Research Education, Advancement, Training and Empowerment (CREATE) in the PacificR25CA244073 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Joseph Keawe'aimoku Kaholokula, LENORA WM LOO · 2020 to 2026
$1.9M
NCI NIH HHS R25 CA244073
6 · The paper itself

Abstract

BACKGROUND &

aimsBody composition assessment by bioelectrical impedance analysis (BIA) and three-dimensional optical (3DO) imaging is increasingly accessible due to low cost and ease of use, supporting integration into clinical practice and self-monitoring. Both methods estimate body composition based on body shape, yet the impact of acute changes in body shape on the estimation of body composition and, for 3DO, waist circumference (WC), has not been systematically evaluated.

methodsYoung adults completed three consecutive measurements on BIA and 3DO systems, in randomized order, under three abdominal positions: relaxed (normal), distended, and contracted. Mean fat mass percent (FM%) and 3DO-derived WC were compared across positions using repeated-measures analysis of variance with Tukey post hoc tests.

resultsTwenty participants (age 21.3 ± 3.0 y; BMI 24.3 ± 4.3 kg/m

conclusionAlthough body shape is fundamental to body composition estimation by BIA and 3DO, intentional changes in abdominal shape altered 3DO-derived FM% and WC but did not affect BIA-derived FM% in young adults. Standardized instructions that minimize abdominal distension or contraction are needed when using 3DO in clinics and at home to ensure accurate estimates and reliable longitudinal tracking.

Indexed as

AbdomenBody CompositionElectric ImpedanceImaging, Three-DimensionalOptical ImagingPostureAdultBody Mass IndexFemaleHumansMaleWaist CircumferenceYoung Adult3-Dimensional opticalBioelectrical impedance analysisBody compositionTesting protocols

Identifiers

PMID41887325
PMCPMC13276022

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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.