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. 2025 Apr 26:14:100176.
doi: 10.1016/j.obpill.2025.100176. eCollection 2025 Jun.

Integrating remote high-intensity interval training into multi-component obesity treatment for adolescents: Impacts on body composition, fitness, and lifestyle

Affiliations

Integrating remote high-intensity interval training into multi-component obesity treatment for adolescents: Impacts on body composition, fitness, and lifestyle

Fábio de Freitas et al. Obes Pillars. .

Erratum in

Abstract

Background: This study aimed to analyze the effects of a three-month remote High-Intensity Interval Training (HIIT) program as an adjunct to a multi-component clinical obesity treatment on body composition, physical fitness, movement behaviors, and nutritional habits in adolescents with obesity.

Methods: This study was designed as a non-randomized controlled trial involving a total of 100 adolescents with obesity (BMI z-score ≥2), aged 12-17, divided into a control group (CG, receiving only standard care, i.e., medical and nutritional guidance, n = 50), and an experimental group (EG, exposed to a remote HIIT program four times/week (∼20 min/session) for 3 months, additionally to standard care, n = 50). Intervention effect was analyzed based on adherence (presence in ≥80 % of sessions). Anthropometrics, body composition, and physical fitness data were assessed at baseline and at the end of the intervention. Changes in body composition and physical fitness were the primary outcomes, while movement behaviors and nutritional habits were considered secondary outcomes.

Results: Six participants were excluded from the analysis due to missing post-intervention assessments. Among the 44 (88 %) adolescents who completed the 3-month assessments, 28 were included in the adherents' group (AG) and 16 in non-adherents (non-AG). BMI z-score significantly decreased over time (β = -0.08, p = 0.001), with the AG showing a more significant reduction than non-AG (β = -0.3, p < 0.001) and CG (β = -0.29, p < 0.001). Flexibility (β = 3.5, p < 0.001) and Core strength improved (β = 2.9, p = 0.002), with no differences between the AG and non-AG. Water consumption also increased (β = 0.2, p = 0.022), but only in the AG.

Conclusion: The remote HIIT program was effective in improving body composition and physical fitness in adolescents with obesity. These findings highlight the potential of remote exercise interventions as a feasible and beneficial strategy within multi-component obesity treatments.

Keywords: Adolescent; Exercise therapy; High-intensity interval training; Home care services; Obesity.

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Conflict of interest statement

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Fabio Freitas reports financial support was provided by Coordination of Higher Education Personnel Improvement. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

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Graphical abstract

References

    1. Marcovecchio M.L., Chiarelli F. Obesity and growth during childhood and puberty. World Rev Nutr Diet. 2013:135–141. doi: 10.1159/000342545. - DOI - PubMed
    1. Shao T., Zhou X. Correlates of physical activity habits in adolescents: a systematic review. Front Physiol. 2023;14 doi: 10.3389/fphys.2023.1131195. - DOI - PMC - PubMed
    1. Guthold R., Stevens G.A., Riley L.M., Bull F.C. Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1·6 million participants. Lancet Child Adolesc Health. 2020;4(1):23–35. doi: 10.1016/S2352-4642(19)30323-2. - DOI - PMC - PubMed
    1. Shaban Mohamed M.A., et al. Risk factors, clinical consequences, prevention, and treatment of childhood obesity. Children. 2022;9(12):1975. doi: 10.3390/children9121975. - DOI - PMC - PubMed
    1. Uddin R., Lee E.-Y., Khan S.R., Tremblay M.S., Khan A. Clustering of lifestyle risk factors for non-communicable diseases in 304,779 adolescents from 89 countries: a global perspective. Prev Med (Baltim) 2020;131 doi: 10.1016/j.ypmed.2019.105955. - DOI - PubMed

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