Evidence map›Paper›PMID 33062284›Full record

ArticleBMC sports science, medicine & rehabilitation2020

The effects of exergaming on pain, postural control, technology acceptance and flow experience in older people with chronic musculoskeletal pain: a randomised controlled trial.

Jae-Llane Ditchburn, Paul van Schaik, John Dixon, Alasdair MacSween, Denis Martin

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04029285 (The Effects of Exergaming on Pain, Postural Control, Technology Acceptance and Flow Experience in Older People With Chronic Musculoskeletal Pain), which is not on this map. Cited by 12 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 5 pooled it
2.1field-weighted citation impact, top 11% 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.

NCT04029285 nacompletednot on this map

The Effects of Exergaming on Pain, Postural Control, Technology Acceptance and Flow Experience in Older People With Chronic Musculoskeletal Pain: a Randomised Controlled Trial

TypeinterventionalSponsorTeesside UniversityRan2010 to 2011Enrolled54ConditionsMusculoskeletal Pain, Musculoskeletal Pain DisorderArmsExergaming
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 5 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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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 1 country.

Jae-Llane DitchburnInstitute of Science, Natural Resources and Outdoor Studies, University of Cumbria, Fusehill Street, Carlisle, Cumbria, CA1 2HH UK.ORCID 0000-0002-7499-6790
Paul van SchaikSchool of Social Sciences, Humanities and Law, Teesside University, Middlesbrough, TS1 3BA UK.
John DixonSchool of Health and Life Sciences, Teesside University, Middlesbrough, TS1 3BX UK.
Alasdair MacSweenSchool of Health and Life Sciences, Teesside University, Middlesbrough, TS1 3BX UK.
Denis MartinSchool of Health and Life Sciences, Teesside University, Middlesbrough, TS1 3BX UK.
Teesside University · GBUniversity of Cumbria · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder people with chronic musculoskeletal pain are at risk of falls. This study aimed to investigate the effects of exergaming on pain and postural control in older people with chronic musculoskeletal pain. Secondary outcomes were technology acceptance, flow experience, perceived physical exertion, expended mental effort and heart rate.

methodsFifty four older adults (age: 71 ± 5 years) with chronic musculoskeletal pain were randomised into 2 groups. Group 1 received exergaming training using the Interactive Rehabilitation and Exercise System (IREX®). Group 2 undertook traditional gym-based exercise (TGB). Both groups completed twice weekly 40-min exercise sessions for 6 weeks. Perceived pain was measured using a numeric pain rating scale and the Multidimensional Affect and Pain Survey questionnaire. Postural control was measured as sway using a Kistler™ force platform. Technology acceptance was measured with the Unified Theory of Acceptance and Use of Technology questionnaire and flow experience with the Flow State Scale. Physiological measures of perceived physical exertion, expended mental effort and heart rate were recorded during all sessions.

resultsThe exergaming group demonstrated significant reductions in pain intensity and thermal pain including a near significant approach in physical engagement in comparison to TGB group. Although no intervention effects on postural control were found, the exergaming group showed significant improvements in three sway measures (AP SD, ML SD and AP range) over time whereas significant improvements in ML range were found in the TGB group. Relating to technology acceptance, significant intervention effects on social influence and behavioural intention were found in the TGB group instead, although both groups demonstrated increases of acceptance over time. Regarding flow experience, concentration at task was significantly influenced in the TGB group and significant increases in flow variables over time were observed in both groups. Significant increases over time in perceived physical exertion and expended mental effort were found in both groups.

conclusionOur findings support the potential of exergaming to alleviate pain and improve balance in older people with chronic musculoskeletal pain. Both forms of exercise are acceptable, intrinsically motivating and show evidence of benefit to older people with chronic musculoskeletal pain.

trial registrationClinicalTrials.gov Identifier: NCT04029285 (retrospectively registered, July 23, 2019).

Indexed as

AgedAged 80 and overExercise therapyExergamingFlow state experienceHeart rateMusculoskeletal PainPostural balanceTechnology acceptance

Identifiers

PMID33062284
PMCPMC7547415
OpenAlexW3092494765

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.