Evidence map›Paper›PMID 42813048›Full record

ArticleFrontiers in nutrition2026

Avatar generator: a tool for prediction of three-dimensional humanoid avatars from manual anthropometric measurements.

Marco Alessandro Minetto, Marta Boccardo, Antonio Cappuccio, Marta Andrighetti, Chiara Busso, Stefano Basso, John A Shepherd, Steven B Heymsfield, Angelo Pietrobelli, Alberto Botter

Abstract read
In one paragraph

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

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0cells of the map it votes in
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

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

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

10 authors.

Marco Alessandro MinettoDivision of Physical Medicine and Rehabilitation, Department of Surgical Sciences, University of Turin, Turin, Italy.
Marta BoccardoDivision of Physical Medicine and Rehabilitation, Department of Surgical Sciences, University of Turin, Turin, Italy.
Antonio CappuccioDivision of Physical Medicine and Rehabilitation, Department of Surgical Sciences, University of Turin, Turin, Italy.
Marta AndrighettiDivision of Physical Medicine and Rehabilitation, Department of Surgical Sciences, University of Turin, Turin, Italy.
Chiara BussoDivision of Physical Medicine and Rehabilitation, Department of Surgical Sciences, University of Turin, Turin, Italy.
Stefano BassoIT Systems, Website Management, E-Learning Division, University of Turin, Turin, Italy.
John A ShepherdDepartment of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, United States.
Steven B HeymsfieldPennington Biomedical Research Center, Baton Rouge, LA, United States.
Angelo PietrobelliPennington Biomedical Research Center, Baton Rouge, LA, United States.
Alberto BotterLaboratory for Engineering of the Neuromuscular System (LISiN), Department of Electronics and Telecommunication, Politecnico di Torino, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Three-dimensional avatars provide an intuitive visual representation of body size and shape that can be useful for tailored clinical care, for example in the management of persons with obesity. This study aimed to evaluate the hypothesis that avatars predicted from manual anthropometric measurements (i.e., synthetic avatars) are comparable to avatars obtained through a digital anthropometric approach (i.e., ground-truth avatars). Methods: A convenience sample of 83 adult participants was recruited: body weight and height were measured and anthropometric assessments were performed in each participant. The manual measurements included nine circumferences (neck, mid-upper arm, wrist, chest, natural waist, belly button waist, maximal hip, thigh, knee) and three lengths (shoulder width, upper limb length, inseam): a previously developed model was adopted to generate synthetic avatars from these twelve measurements (in combination with weight and height). The digital anthropometric assessment consisted of three-dimensional optical scanning. Synthetic and ground-truth avatars were digitally registered and reposed using Meshcapade. Results: Synthetic and ground-truth avatars had similar visual appearances and correlations between ground-truth and predicted measurements were all high (and statistically significant) with R Conclusion: Synthetic avatars predicted from manual anthropometric measurements were comparable to ground-truth avatars. The use of synthetic avatars can be useful in the clinical practice to support patient education and engagement in weight loss nutritional programs. To promote the clinical use of digital anthropometry, the avatar generator model presented in this study was made available as a simple user interface-based calculator (https://www.avatargenerator.unito.it/).

Indexed as

anthropometryavatarbody circumferencesbody lengthsoptical scanningtotal body volume

Identifiers

PMID42813048
PMCPMC13621849

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Registered trials

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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.