Evidence map›Paper›PMID 26865874›Full record

ArticleEuropean review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity2015

ICT-based system to predict and prevent falls (iStoppFalls): results from an international multicenter randomized controlled trial.

Yves J Gschwind, Sabine Eichberg, Andreas Ejupi, Helios de Rosario, Michael Kroll, Hannah R Marston, Mario Drobics, Janneke Annegarn, Rainer Wieching, Stephen R Lord and 5 more

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04422704 (Mixed Study on the Impact of a Technology-based Intervention With Retired People), which is not on this map. Cited by 47 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 16 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.

NCT04422704 nacompletednot on this mapstarted 2017, after this paper: background citation

Mixed Study on the Impact of a Technology-based Intervention With Retired People

TypeinterventionalSponsorLaura Nieto RiveiroRan2017 to 2017Enrolled31ConditionsAging, RetirementArmsTechnology-based-Intervention
3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 16 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Pooled it
  13. Pooled it
  14. Pooled it
  15. Exercise for preventing falls in older people living in the community.The Cochrane database of systematic reviews · 2019
    Pooled it
  16. Pooled it
  17. Trial
  18. Trial
  19. Trial
  20. Trial
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

15 authors.

Yves J GschwindNeuroscience Research Australia, University of New South Wales, Barker Street, Randwick, Sydney, New South Wales 2031 Australia.
Sabine EichbergInstitute of Movement and Sport Gerontology, German Sport University Cologne, Am Sportpark Muengersdorf 6, 50933 Cologne, Germany.
Andreas EjupiAssistive Healthcare Information Technology Group, Austrian Institute of Technology, Donau-City-Strasse 1, 1220 Vienna, Austria.
Helios de RosarioInstitute of Biomechanics of Valencia, University Polytechnic of Valencia, Edificio 9C Camino de Vera s/n, 46022 Valencia, Spain ; Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Healthcare Technology Group, Valencia, Spain.
Michael KrollInstitute of Movement and Sport Gerontology, German Sport University Cologne, Am Sportpark Muengersdorf 6, 50933 Cologne, Germany.
Hannah R MarstonInstitute of Movement and Sport Gerontology, German Sport University Cologne, Am Sportpark Muengersdorf 6, 50933 Cologne, Germany.
Mario DrobicsAssistive Healthcare Information Technology Group, Austrian Institute of Technology, Donau-City-Strasse 1, 1220 Vienna, Austria.
Janneke AnnegarnPersonal Health Department, Philips Research Europe, High Tech Campus 34, 5656AE Eindhoven, The Netherlands.
Rainer WiechingInstitute for Information Systems, University of Siegen, Hölderlinstrasse 3, 57076 Siegen, Germany.
Stephen R LordNeuroscience Research Australia, University of New South Wales, Barker Street, Randwick, Sydney, New South Wales 2031 Australia.
Konstantin AalInstitute for Information Systems, University of Siegen, Hölderlinstrasse 3, 57076 Siegen, Germany.
Daryoush VaziriInstitute for Information Systems, University of Siegen, Hölderlinstrasse 3, 57076 Siegen, Germany.
Ashley WoodburyNeuroscience Research Australia, University of New South Wales, Barker Street, Randwick, Sydney, New South Wales 2031 Australia.
Dennis FinkInstitute of Movement and Sport Gerontology, German Sport University Cologne, Am Sportpark Muengersdorf 6, 50933 Cologne, Germany.
Kim DelbaereNeuroscience Research Australia, University of New South Wales, Barker Street, Randwick, Sydney, New South Wales 2031 Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls and fall-related injuries are a serious public health issue. Exercise programs can effectively reduce fall risk in older people. The iStoppFalls project developed an Information and Communication Technology-based system to deliver an unsupervised exercise program in older people's homes. The primary aims of the iStoppFalls randomized controlled trial were to assess the feasibility (exercise adherence, acceptability and safety) of the intervention program and its effectiveness on common fall risk factors.

methodsA total of 153 community-dwelling people aged 65+ years took part in this international, multicentre, randomized controlled trial. Intervention group participants conducted the exercise program for 16 weeks, with a recommended duration of 120 min/week for balance exergames and 60 min/week for strength exercises. All intervention and control participants received educational material including advice on a healthy lifestyle and fall prevention. Assessments included physical and cognitive tests, and questionnaires for health, fear of falling, number of falls, quality of life and psychosocial outcomes.

resultsThe median total exercise duration was 11.7 h (IQR = 22.0) over the 16-week intervention period. There were no adverse events. Physiological fall risk (Physiological Profile Assessment, PPA) reduced significantly more in the intervention group compared to the control group (F1,127 = 4.54, p = 0.035). There was a significant three-way interaction for fall risk assessed by the PPA between the high-adherence (>90 min/week; n = 18, 25.4 %), low-adherence (<90 min/week; n = 53, 74.6 %) and control group (F2,125 = 3.12, n = 75, p = 0.044). Post hoc analysis revealed a significantly larger effect in favour of the high-adherence group compared to the control group for fall risk (p = 0.031), postural sway (p = 0.046), stepping reaction time (p = 0.041), executive functioning (p = 0.044), and quality of life (p for trend = 0.052).

conclusionsThe iStoppFalls exercise program reduced physiological fall risk in the study sample. Additional subgroup analyses revealed that intervention participants with better adherence also improved in postural sway, stepping reaction, and executive function.

trial registrationAustralian New Zealand Clinical Trials Registry Trial ID: ACTRN12614000096651 International Standard Randomised Controlled Trial Number: ISRCTN15932647.

Indexed as

BalanceExergamesFall preventionOlder adultsSensor-basedStrength

Identifiers

PMID26865874
PMCPMC4748323

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.