Evidence map›Paper›PMID 39390066›Full record

Trial reportInternational journal of obesity (2005)2025

Feasibility and efficacy of adding high-intensity interval training to a multidisciplinary lifestyle intervention in children with obesity-a randomized controlled trial.

Charlotte Nørkjær Eggertsen, Ryan Godsk Larsen, Kirsten Duch, Morten Bilde Simonsen, Cecilie Brøns Christensen, Tine Caroc Warner, Jens Brøndum Frøkjær, Aase Handberg, Theresa Stjernholm, Esben Thyssen Vestergaard and 1 more

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in International journal of obesity (2005), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Article
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

11 authors.

Charlotte Nørkjær EggertsenDepartment of Pediatrics and Adolescent Medicine, Aalborg University Hospital, Aalborg, Denmark. c.eggertsen@rn.dk.ORCID 0000-0002-3425-0839
Ryan Godsk LarsenExerciseTech, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.ORCID 0000-0002-4622-1453
Kirsten DuchResearch Data and Biostatistics, Aalborg University Hospital, Aalborg, Denmark.
Morten Bilde SimonsenCenter for Mathematical Modeling of Knee Osteoarthritis, Aalborg University, Aalborg, Denmark.
Cecilie Brøns ChristensenDepartment of Pediatrics and Adolescent Medicine, Aalborg University Hospital, Aalborg, Denmark.
Tine Caroc WarnerDepartment of Clinical Medicine, Aalborg University Hospital, Aalborg, Denmark.
Jens Brøndum FrøkjærDepartment of Clinical Medicine, Aalborg University Hospital, Aalborg, Denmark.
Aase HandbergDepartment of Clinical Medicine, Aalborg University Hospital, Aalborg, Denmark.ORCID 0000-0001-5719-203X
Theresa StjernholmDepartment of Pediatrics and Adolescent Medicine, North Denmark Regional Hospital, Hjørring, Denmark.
Esben Thyssen VestergaardDepartment of Pediatrics and Adolescent Medicine, Aarhus University Hospital, Aarhus, Denmark.
Søren HagstrømDepartment of Pediatrics and Adolescent Medicine, Aalborg University Hospital, Aalborg, Denmark.ORCID 0000-0002-1094-6575

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultidisciplinary lifestyle interventions for children with obesity in Denmark often include recommendations regarding physical activity, but no structured exercise program. We hypothesized that adding high-intensity interval training (HIIT) to a multidisciplinary lifestyle intervention would improve BMI z-score (primary outcome), waist circumference, blood pressure, and health-related quality of life (HRQOL).

methodsThis randomized controlled trial included 173 children and adolescents with obesity. Participants were allocated to 12-months lifestyle intervention (N = 83), or 12-month lifestyle intervention accompanied by a 12-week HIIT program (N = 90). HIIT consisted of three weekly sessions and included activities eliciting intensities >85% of maximal heart rate.

resultsAttendance rate for the 3-months HIIT intervention was 68.0 ± 23.2%. Dropout was lower in HIIT compared to control at three months (7.8% vs. 20.5%) and 12 months (26.5% vs 48.2%). Changes in BMI z-score did not differ between HIIT and control at 3 months (Mean Difference (MD): 0.01, 95% confidence interval (CI): -0.09; 0.12, P = 0.82) or 12 months (MD: 0.06, CI: -0.07;0.19, P = 0.34). Across randomization, BMI z-score was reduced by 0.11 (CI: 0.17; 0.06, P < 0.01) at 3 months and 0.20 (CI: 0.26;0.14, P < 0.01) at 12 months. At 3 months, HIIT experienced a greater increase in HRQOL of 2.73 (CI: 0.01;5.44, P = 0.05) in PedsQL Child total-score and 3.85 (CI: 0.96; 6.74, P < 0.01) in psychosocial health-score compared to control. At 12 months, PedsQL Child physical-score was reduced by 6.89 (CI: 10.97; 2.83, P < 0.01) in HIIT compared to control. No group differences or changes over time were found for waist circumference or blood pressure.

conclusionAdding a 12-week HIIT program did not further augment the positive effects of a 12-month lifestyle intervention on BMI z-score. Adding HIIT improved HRQOL after 3 months, but reduced HRQOL at 12 months. Implementation of HIIT in community-based settings was feasible and showed positive effects on adherence to the lifestyle intervention.

Indexed as

High-Intensity Interval TrainingPediatric ObesityAdolescentBody Mass IndexChildDenmarkFeasibility StudiesFemaleHumansLife StyleMaleQuality of LifeTreatment Outcome

Identifiers

PMID39390066
PMCPMC11805701

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.