Evidence map›Paper›PMID 34040201›Full record

ArticleEuropean journal of clinical nutrition2022

Digital anthropometric evaluation of young children: comparison to results acquired with conventional anthropometry.

Samantha Kennedy, Brooke Smith, Sima Sobhiyeh, Marcelline E Dechenaud, Michael Wong, Nisa Kelly, John Shepherd, Steven B Heymsfield

Open access · greenAbstract read
In one paragraph

Article in European journal of clinical nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Observational
  6. Article
  7. 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

8 authors at 3 institutions in 1 country.

Samantha KennedyPennington Biomedical Research Center, LSU System, Baton Rouge, LA, USA.
Brooke SmithPennington Biomedical Research Center, LSU System, Baton Rouge, LA, USA.ORCID http://orcid.org/0000-0002-0502-1906
Sima SobhiyehPennington Biomedical Research Center, LSU System, Baton Rouge, LA, USA.
Marcelline E DechenaudLouisiana State University, Baton Rouge, LA, USA.
Michael WongUniversity of Hawaii Cancer Center, Honolulu, HI, USA.
Nisa KellyUniversity of Hawaii Cancer Center, Honolulu, HI, USA.
John ShepherdUniversity of Hawaii Cancer Center, Honolulu, HI, USA.
Steven B HeymsfieldPennington Biomedical Research Center, LSU System, Baton Rouge, LA, USA. steven.heymsfield@pbrc.edu.ORCID http://orcid.org/0000-0003-1127-9425
Pennington Biomedical Research Center · USUniversity of Hawaiʻi at Mānoa · USLouisiana State University · US

Funding

ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI CHRISTOPHER P DUGGAN · 1994 to 2026
$31.6M
Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2005 to 2026
$26.5M
Shape up! KidsR01DK111698 · NIDDK · UNIVERSITY OF HAWAII AT MANOA · PI HEYMSFIELD, STEVEN, SHEPHERD, JOHN ALAN · 2017 to 2021
$3.3M
Optical Body Composition and Health AssessmentR01DK109008 · NIDDK · UNIVERSITY OF HAWAII AT MANOA · PI HEYMSFIELD, STEVEN, SHEPHERD, JOHN ALAN · 2016 to 2020
$3.2M
NIDDK NIH HHS P30 DK040561NIDDK NIH HHS P30 DK072476NIDDK NIH HHS R01 DK109008NIDDK NIH HHS R01 DK111698
6 · The paper itself

Abstract

objectiveThree-dimensional optical (3DO) imaging devices for acquiring anthropometric measurements are proliferating in healthcare facilities, although applicability in young children has not been evaluated; small body size and movement may limit device accuracy. The current study aim was to critically test three commercial 3DO devices in young children.

methodsThe number of successful scans and circumference measurements at six anatomic sites were quantified with the 3DO devices in 64 children, ages 5-8 years. Of the scans available for processing, 3DO and flexible tape-measure measurements made by a trained anthropometrist were compared.

resultsSixty of 181 scans (33.1%) could not be processed for technical reasons. Of processed scans, mean 3DO-tape circumference differences tended to be small (~1-9%) and varied across systems; correlations and bias estimates also varied in strength across anatomic sites and systems (e.g., regression R

conclusionsAvailable 3DO devices for quantifying anthropometric dimensions in adults vary in applicability in young children according to instrument design. These findings suggest the need for 3DO devices designed specifically for small and/or young children.

Indexed as

Body CompositionAbsorptiometry, PhotonAdultAnthropometryBody SizeChildChild, PreschoolData CollectionHumans

Identifiers

PMID34040201
PMCPMC8617044
OpenAlexW3164133724

What OpenQuestion holds

Textmetadata
LicenceTDM
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.