Evidence map›Paper›PMID 35761262›Full record

Trial reportBMC geriatrics2022

Equipment-free, unsupervised high intensity interval training elicits significant improvements in the physiological resilience of older adults.

Tanvir S Sian, Thomas B Inns, Amanda Gates, Brett Doleman, Joseph J Bass, Philip J Atherton, Jonathan N Lund, Bethan E Phillips

Erratum issued Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT03473990 (A Randomised Control Trial to Assess the Efficacy of Short-term, Home-based High- Intensity Interval Training), which is not on this map. Cited by 13 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 4 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.

NCT03473990 nacompletednot on this map

A Randomised Control Trial to Assess the Efficacy of Short-term, Home-based High- Intensity Interval Training (HIT) for Improving Indices of Cardiorespiratory Fitness

TypeinterventionalSponsorUniversity of NottinghamRan2017 to 2019Enrolled48ConditionsHigh-Intensity Interval TrainingArmsHigh-intensity interval training
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Tanvir S SianMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research and NIHR Nottingham Biomedical Research Centre, School of Medicine, University of Nottingham, Derby, UK.
Thomas B InnsMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research and NIHR Nottingham Biomedical Research Centre, School of Medicine, University of Nottingham, Derby, UK.
Amanda GatesMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research and NIHR Nottingham Biomedical Research Centre, School of Medicine, University of Nottingham, Derby, UK.
Brett DolemanDepartment of Surgery and Anaesthesia, Royal Derby Hospital, University Hospitals of Derby and Burton, Derby, UK.
Joseph J BassMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research and NIHR Nottingham Biomedical Research Centre, School of Medicine, University of Nottingham, Derby, UK.
Philip J AthertonMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research and NIHR Nottingham Biomedical Research Centre, School of Medicine, University of Nottingham, Derby, UK.
Jonathan N LundMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research and NIHR Nottingham Biomedical Research Centre, School of Medicine, University of Nottingham, Derby, UK.
Bethan E PhillipsMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research and NIHR Nottingham Biomedical Research Centre, School of Medicine, University of Nottingham, Derby, UK. beth.phillips@nottingham.ac.uk.

Funding

Medical Research Council MR/P021220/1
6 · The paper itself

Abstract

backgroundReduced cardiorespiratory fitness (CRF) is an independent risk factor for dependency, cognitive impairment and premature mortality. High-intensity interval training (HIIT) is a proven time-efficient stimulus for improving both CRF and other facets of cardiometabolic health also known to decline with advancing age. However, the efficacy of equipment-free, unsupervised HIIT to improve the physiological resilience of older adults is not known.

methodsThirty independent, community-dwelling older adults (71(SD: 5) years) were randomised to 4 weeks (12 sessions) equipment-free, supervised (in the laboratory (L-HIIT)) or unsupervised (at home (H-HIIT)) HIIT, or a no-intervention control (CON). HIIT involved 5, 1-minute intervals of a bodyweight exercise each interspersed with 90-seconds recovery. CRF, exercise tolerance, blood pressure (BP), body composition, muscle architecture, circulating lipids and glucose tolerance were assessed at baseline and after the intervention period.

resultsWhen compared to the control group, both HIIT protocols improved the primary outcome of CRF ((via anaerobic threshold) mean difference, L-HIIT: +2.27, H-HIIT: +2.29, both p < 0.01) in addition to exercise tolerance, systolic BP, total cholesterol, non-HDL cholesterol and m. vastus lateralis pennation angle, to the same extent. There was no improvement in these parameters in CON. There was no change in diastolic BP, glucose tolerance, whole-body composition or HDL cholesterol in any of the groups.

conclusionsThis is the first study to show that short-term, time-efficient, equipment-free, HIIT is able to elicit improvements in the CRF of older adults irrespective of supervision status. Unsupervised HIIT may offer a novel approach to improve the physiological resilience of older adults, combating age-associated physiological decline, the rise of inactivity and the additional challenges currently posed by the COVID-19 pandemic.

trial registrationThis study was registered at clinicaltrials.gov and coded: NCT03473990 .

Indexed as

Cardiorespiratory FitnessCOVID-19High-Intensity Interval TrainingAgedGlucoseHumansPandemicsGlucoseCardiometabolicCardiorespiratory fitnessExerciseHIITSupervision

Identifiers

PMID35761262
PMCPMC9238013

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Registered trials

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.