Evidence map›Paper›PMID 28643209›Full record

SynthesisSports medicine (Auckland, N.Z.)2017

High-Intensity Interval Training Interventions in Children and Adolescents: A Systematic Review.

William T B Eddolls, Melitta A McNarry, Gareth Stratton, Charles O N Winn, Kelly A Mackintosh

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Sports medicine (Auckland, N.Z.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 22 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed, 22 pooled it
21.9field-weighted citation impact, top 1% of its field
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

120 citing papers in PubMed, 22 syntheses or guidelines pooled it, 253 citations in OpenAlex.

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  13. Health effects of children's summer holiday programs: a systematic review and meta-analysis.The international journal of behavioral nutrition and physical activity · 2024
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60 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 2 countries.

William T B EddollsApplied Sports Science Technology and Medicine Research Centre (A-STEM), College of Engineering, Swansea University, A101 Engineering East, Bay Campus, Fabian Way, Swansea, SA1 8EN, UK. 636442@swansea.ac.uk.ORCID http://orcid.org/0000-0002-9590-8817
Melitta A McNarryApplied Sports Science Technology and Medicine Research Centre (A-STEM), College of Engineering, Swansea University, A101 Engineering East, Bay Campus, Fabian Way, Swansea, SA1 8EN, UK.ORCID http://orcid.org/0000-0003-0813-7477
Gareth StrattonApplied Sports Science Technology and Medicine Research Centre (A-STEM), College of Engineering, Swansea University, A101 Engineering East, Bay Campus, Fabian Way, Swansea, SA1 8EN, UK.ORCID http://orcid.org/0000-0001-5618-0803
Charles O N WinnApplied Sports Science Technology and Medicine Research Centre (A-STEM), College of Engineering, Swansea University, A101 Engineering East, Bay Campus, Fabian Way, Swansea, SA1 8EN, UK.ORCID http://orcid.org/0000-0001-8769-2764
Kelly A MackintoshApplied Sports Science Technology and Medicine Research Centre (A-STEM), College of Engineering, Swansea University, A101 Engineering East, Bay Campus, Fabian Way, Swansea, SA1 8EN, UK.ORCID http://orcid.org/0000-0003-0355-6357
Swansea University · GBThe University of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhilst there is increasing interest in the efficacy of high-intensity interval training in children and adolescents as a time-effective method of eliciting health benefits, there remains little consensus within the literature regarding the most effective means for delivering a high-intensity interval training intervention. Given the global health issues surrounding childhood obesity and associated health implications, the identification of effective intervention strategies is imperative.

objectivesThe aim of this review was to examine high-intensity interval training as a means of influencing key health parameters and to elucidate the most effective high-intensity interval training protocol.

methodsStudies were included if they: (1) studied healthy children and/or adolescents (aged 5-18 years); (2) prescribed an intervention that was deemed high intensity; and (3) reported health-related outcome measures.

resultsA total of 2092 studies were initially retrieved from four databases. Studies that were deemed to meet the criteria were downloaded in their entirety and independently assessed for relevance by two authors using the pre-determined criteria. From this, 13 studies were deemed suitable. This review found that high-intensity interval training in children and adolescents is a time-effective method of improving cardiovascular disease biomarkers, but evidence regarding other health-related measures is more equivocal. Running-based sessions, at an intensity of >90% heart rate maximum/100-130% maximal aerobic velocity, two to three times a week and with a minimum intervention duration of 7 weeks, elicit the greatest improvements in participant health.

conclusionWhile high-intensity interval training improves cardiovascular disease biomarkers, and the evidence supports the effectiveness of running-based sessions, as outlined above, further recommendations as to optimal exercise duration and rest intervals remain ambiguous owing to the paucity of literature and the methodological limitations of studies presently available.

Indexed as

Health PromotionHigh-Intensity Interval TrainingAdolescentCardiovascular DiseasesChildChild, PreschoolHumansRunning

Identifiers

PMID28643209
PMCPMC5633633
OpenAlexW2675634400

What OpenQuestion 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 OpenQuestion graph.