Evidence map›Paper›PMID 41255997›Full record

ArticleResearch square2025

Accuracy of Digital Anthropometry During Pregnancy: A Longitudinal Study.

Steven Heymsfield, Sophia Ramirez, Jasmine Brown, Ryan Yang, Marianna Deynzer, Gabriela de Oliveira Lemos, Cassidy McCarthy, Sara Dube, John Virostko, Isaiah Janumala and 5 more

Abstract readPreprint
In one paragraph

Article in Research square, 2025. 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
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Steven HeymsfieldPennington Biomedical Research Center.ORCID 0000-0003-1127-9425
Sophia Ramirez
Jasmine BrownPennington Biomedical Research Center.
Ryan YangPennington Biomedical Research Center.
Marianna DeynzerThe University of Texas at Austin.ORCID 0009-0006-3045-7740
Gabriela de Oliveira LemosPennington Biomedical Research Center.ORCID 0000-0003-0943-1387
Cassidy McCarthyPennington Biomedical Research Center.
Sara DubeThe University of Texas at Austin.
John VirostkoThe University of Texas at Austin.
Isaiah JanumalaThe University of Texas at Austin.
Amy NicholsThe University of Texas at Austin.ORCID 0000-0002-3085-7377
Rachel RickmanThe University of Texas at Austin.
Saralyn FosterThe University of Texas at Austin.
Michelle CassidyThe University of Texas at Austin.ORCID 0000-0002-9348-8740
Elizabeth WidenUniversity of Texas, Austin.ORCID 0000-0002-9574-6109

Funding

Pregnancy weight trajectories and offspring adiposityR00HD086304 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI WIDEN, ELIZABETH MARIE · 2018 to 2020
$744k
NICHD NIH HHS R00 HD086304
6 · The paper itself

Abstract

Background/Objectives: Maternal anthropometric changes are rapid during pregnancy and reflect increments in maternal and fetal tissues. These dynamic changes in body composition and shape during pregnancy are associated with maternal and fetal outcomes and are often monitored with simple tools such as a flexible tape for quantifying selected circumferences. The current study aim was to evaluate the hypothesis that circumferential measures of maternal body size and shape acquired with a 3D-optical imaging system will agree closely and correlate significantly with ground-truth estimates made with a flexible tape by trained staff. Subjects/Methods: 3D-optical scans and flexible tape measurements were acquired at 15-, 25-, and 35-weeks of gestation in 57, 41, and 35 participants, respectively. 3D avatars obtained at each time point were analyzed for waist at two sites, hip, mid-upper arm, mid-thigh, and calf circumferences. 3D-optical and flexible tape measurements were compared using linear regression analyses (R Results: Overall, agreement between 3D and conventional anthropometric measurements were strong at all five anatomic sites (R Conclusions: Feasible implementation and accuracy, as shown in the current study, strongly support further development of 3D-optical technology as an alternative to conventional anthropometry for evaluating and monitoring body size, shape, and composition over the course of pregnancy.

Indexed as

Body CompositionCircumferenceNutritional AssessmentObesityPregnancy

Identifiers

PMID41255997
PMCPMC12622182

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.