Evidence map›Paper›PMID 40127074›Full record

ArticlePloS one2025

Supervised and self-directed technology-based dual-task exercise training programme for older adults at risk of falling - Protocol for a feasibility study.

Prerna Mathur, Helen Thomas, Angela Cooper, Magdalena Chechlacz, Afroditi Stathi, Victoria Goodyear, Caroline Miller, Taylor Krauss, Natalie Ives, Laura Magill and 3 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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

13 authors.

Prerna MathurSchool of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, United Kingdom.
Helen ThomasSolihull Community Specialist Falls Service, Solihull Hospital, University Hospitals Birmingham NHS Foundation Trust, United Kingdom.
Angela CooperSchool of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, United Kingdom.
Magdalena ChechlaczSchool of Psychology, University of Birmingham, Birmingham, United Kingdom.ORCID https://orcid.org/0000-0003-1811-3946
Afroditi StathiSchool of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, United Kingdom.
Victoria GoodyearSchool of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, United Kingdom.
Caroline MillerPhysiotherapy Department, Queen Elizabeth Hospital Birmingham, University Hospitals Birmingham NHS Foundation Trust, United Kingdom.
Taylor KraussSolihull Community Specialist Falls Service, Solihull Hospital, University Hospitals Birmingham NHS Foundation Trust, United Kingdom.
Natalie IvesBirmingham Clinical Trials Unit, School of Health Sciences, University of Birmingham, Birmingham, United Kingdom.
Laura MagillBirmingham Centre for Observational and Prospective Studies (BiCOPS), School of Health Sciences, University of Birmingham, Birmingham, United Kingdom.ORCID https://orcid.org/0000-0003-2498-8407
Philip KinghornHealth Economics Unit, Department of Applied Health Sciences, University of Birmingham, Birmingham, United Kingdom.
Daisy WilsonInstitute of Inflammation and Ageing, University of Birmingham, United Kingdom.
Shin-Yi ChiouSchool of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, United Kingdom.ORCID https://orcid.org/0000-0002-4200-5243

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Falls among older adults pose a significant public health challenge, as they lead to severe outcomes such as fractures and loss of independence. Research has shown that training cognitive function and balance simultaneously, termed Dual-Task (DT) training, improves mobility and reduces fall risks in older adults. This study aims to evaluate the feasibility and acceptability of a blended supervised and self-directed technology-based DT training programme for older adults who have high risk of falling. This is a single-arm, non-randomised feasibility study employing quantitative and qualitative methods. Fifty healthy adults aged 65 years or above will be recruited from the NHS primary and secondary care pathways and from the community. Participants will undergo supervised cognitive and balance DT training for 12 weeks, followed by self-directed DT training for an additional 12 weeks. The cognitive training will be delivered using a commercial mobile application (app) available from the AppStore or Google Play. The balance training will involve static (Marching on the spot, Tandem Stand, Hip Abduction & Extension, Squats, Tiptoe Stand, and Pendulum/Sideways Sway) and dynamic (Figure of Eight Walk, Walking Forwards and Backwards, Lunges, Functional Reach, Toe Tapping, Upper Limb Strength Exercises, and Side-Steps/Simple Grapevine) exercises focused on improving balance, postural stability and strength. Feasibility outcomes will be recruitment, adherence, usage of the app, and attrition. Outcomes measure data, that will be collected at baseline and at 24 weeks, includes the Timed- Up and Go (TUG) test (likely primary outcome in any future trial), along with self-reported questionnaires assessing cognition, fear of falling, quality of life, healthcare service usage, and the self-reported number of falls. Focus group interviews will be conducted with thirty participants and thirty healthcare professionals for in-depth exploration of the feasibility and acceptability of the DT training programme.

Indexed as

Accidental FallsExerciseExercise TherapyAgedAged, 80 and overCognitionFeasibility StudiesFemaleHumansMalePostural Balance

Identifiers

PMID40127074
PMCPMC11932479

What OpenQuestion holds

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LicenceCC BY
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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.