Evidence map›Paper›PMID 41867127›Full record

ArticleJournal of medical Internet research2026

Using an Adult-Designed Wearable for Pediatric Monitoring: Practical Tutorial and Application in School-Aged Children With Obesity.

Alessandra Angelucci, Andrea Aliverti, Matteo Vandoni, Daniela Lucini, Cristiana Larizza, Vittoria Carnevale Pellino, Gianvincenzo Zuccotti, Valeria Calcaterra

Abstract read
In one paragraph

Article in Journal of medical Internet research, 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
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

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.

Alessandra AngelucciDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, 20133, Italy, +39 3204299516.ORCID http://orcid.org/0000-0001-8266-9346
Andrea AlivertiDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, 20133, Italy, +39 3204299516.ORCID http://orcid.org/0000-0002-2950-0231
Matteo VandoniLaboratory of Adapted Motor Activity (LAMA), Department of Public Health, Experimental Medicine and Forensic Science, University of Pavia, Pavia, Italy.ORCID http://orcid.org/0000-0002-3405-9364
Daniela LuciniBIOMETRA Department, University of Milan, Milan, Italy.ORCID http://orcid.org/0000-0003-4845-8988
Cristiana LarizzaDepartment of Computer, Electrical and Biomedical Engineering, University of Pavia, Pavia, Italy.ORCID http://orcid.org/0000-0002-5055-8665
Vittoria Carnevale PellinoLaboratory of Adapted Motor Activity (LAMA), Department of Public Health, Experimental Medicine and Forensic Science, University of Pavia, Pavia, Italy.ORCID http://orcid.org/0000-0003-2299-6366
Gianvincenzo Zuccotti *Department of Biomedical and Clinical Science, University of Milan, Milan, Italy.ORCID http://orcid.org/0000-0002-2795-9874
Valeria Calcaterra *Pediatric Department, Buzzi Children's Hospital, Milan, Italy.ORCID http://orcid.org/0000-0002-2137-5974

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unlabelled: This tutorial presents a step-by-step guide on how to use an adult-oriented wearable (Fitbit) to collect and analyze activity and cardiovascular data in a pediatric population of school-aged children with obesity. After outlining the current landscape of commercial wearables for adults and children, the tutorial illustrates the distinct considerations required for accurate pediatric monitoring, especially for cardiovascular metrics and derived features. The text provides a clinical application, highlighting how data from these devices were gathered and integrated with standard clinical measurements (ie, 1 week of monitoring with the wearable compared with the 6-minute walk test). The tutorial also discusses potential correlations, which should be interpreted as exploratory, given the small sample size (n=16), as well as limitations and future perspectives on using wearables for long-term pediatric monitoring of school-aged children, aiming to inform clinicians, researchers, and other stakeholders about the additional considerations that are needed to use wearables designed for adults to monitor this age group.

Indexed as

ObesityWearable Electronic DevicesAdultChildDigital HealthHumansMonitoring, Physiologicactivity monitoringcardiovascular monitoringchildhood obesitywearable data qualitywearable devices

Identifiers

PMID41867127
PMCPMC13006788

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.