Evidence map›Paper›PMID 42491869›Full record

ArticleObesity science & practice2026

Long-Term Effects of Real-Time Remotely Supervised High-Intensity Interval Training in Adolescents With Obesity.

Fábio de Freitas, Mariana R Zago, Maria Ângela Antônio, Maria Ângela Bellomo Brandão, António Videira-Silva

Abstract read
In one paragraph

Article in Obesity science & practice, 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

5 authors.

Fábio de FreitasDepartment of Pediatrics Unicamp School of Medical Sciences São Paulo Brazil.ORCID https://orcid.org/0000-0002-5368-1503
Mariana R ZagoDepartment of Pediatrics Unicamp School of Medical Sciences São Paulo Brazil.
Maria Ângela AntônioDepartment of Pediatrics Unicamp School of Medical Sciences São Paulo Brazil.
Maria Ângela Bellomo BrandãoDepartment of Pediatrics Unicamp School of Medical Sciences São Paulo Brazil.
António Videira-SilvaWHO Collaborating Centre for Adolescent Medicine and Training Faculdade de Medicina Clínica Universitária de Pediatria Universidade de Lisboa Lisbon Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: High-intensity Interval Training (HIIT) has emerged as an effective strategy in the management of adolescents with obesity, including delivery through real-time remote models. What remains unclear is whether these clinical benefits are sustained once direct professional supervision is discontinued. This study aimed to analyze the effects of a 6-month, real-time, remotely supervised HIIT program, integrated into a multi-component clinical obesity treatment on post-intervention and 12-month follow-up outcomes after sessions were discontinued. Furthermore, the association between motivation dimensions and program engagement was explored. Methods: A quasi-experimental study involving 96 adolescents with obesity (BMI z-score ≥ 2) was assigned to an Experimental Group (EG; Results: Group-by-time interaction showed reductions in the EG for BMI ( Conclusion: The real-time, remotely supervised HIIT program integrated into a multi-component clinical obesity treatment was an effective approach to promote weight loss and improve physical fitness, with effects sustained for at least 12 months of follow-up. Appearance-driven goals may be associated with lower program engagement. Trial Registration: Brazilian Clinical Trials Registry (ReBEC): RBR-35hyxxv.

Indexed as

adolescenthigh‐intensity interval traininghome care servicesobesityphysical activity

Identifiers

PMID42491869
PMCPMC13378902

What OpenQuestion holds

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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.