Evidence map›Paper›PMID 26865877›Full record

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

The design of a purpose-built exergame for fall prediction and prevention for older people.

Hannah R Marston, Ashley Woodbury, Yves J Gschwind, Michael Kroll, Denis Fink, Sabine Eichberg, Karl Kreiner, Andreas Ejupi, Janneke Annegarn, Helios de Rosario and 3 more

Open access · goldAbstract read
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. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
9.3field-weighted citation impact, top 3% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. A Commentary on Blue ZonesInternational journal of environmental research and public health · 2021
    Article
  3. Occupational Therapy and the Use of Technology on Older Adult Fall Prevention: A Scoping Review.International journal of environmental research and public health · 2021
    Article
  4. Design and Evaluation of an Augmented Reality-Based Exergame System to Reduce Fall Risk in the Elderly.International journal of environmental research and public health · 2020
    Article
  5. Article
  6. Article
  7. Exploring user experience and technology acceptance for a fall prevention system: results from a randomized clinical trial and a living lab.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2016
    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 at 7 institutions in 5 countries.

Hannah R MarstonInstitute of Movement and Sport Gerontology, German Sport University Cologne, Am Sportpark Muengersdorf 6, Cologne, 50933 Germany.
Ashley WoodburyNeuroscience Research Australia, University of New South Wales, Barker Street, Randwick, Sydney, New South Wales 2031 Australia.
Yves J GschwindNeuroscience Research Australia, University of New South Wales, Barker Street, Randwick, Sydney, New South Wales 2031 Australia.
Michael KrollInstitute of Movement and Sport Gerontology, German Sport University Cologne, Am Sportpark Muengersdorf 6, Cologne, 50933 Germany.
Denis FinkInstitute of Movement and Sport Gerontology, German Sport University Cologne, Am Sportpark Muengersdorf 6, Cologne, 50933 Germany.
Sabine EichbergInstitute of Movement and Sport Gerontology, German Sport University Cologne, Am Sportpark Muengersdorf 6, Cologne, 50933 Germany.
Karl KreinerAssistive Healthcare Information Technology Group, Austrian Institute of Technology, Donau-City-Strasse 1, Vienna, 1220 Austria.
Andreas EjupiAssistive Healthcare Information Technology Group, Austrian Institute of Technology, Donau-City-Strasse 1, Vienna, 1220 Austria.
Janneke AnnegarnPersonal Health Department, Philips Research Europe, High Tech Campus 34, Eindhoven, 5656AE The Netherlands.
Helios de RosarioBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Healthcare Technology Group, Valencia, Spain ; Institute of Biomechanics of Valencia, University Polytechnic of Valencia, Edificio 9C Camino de Vera s/n, Valencia, 46022 Spain.
Arno WienholtzKaasa Solution GmbH, Flinger Str. 11, Düsseldorf, 40213 Germany.
Rainer WiechingInstitute for Information Systems, University of Siegen, Hölderlinstrasse 3, Siegen, 57076 Germany.
Kim DelbaereNeuroscience Research Australia, University of New South Wales, Barker Street, Randwick, Sydney, New South Wales 2031 Australia.
German Sport University Cologne · DEAustrian Institute of Technology · ATNeuroscience Research Australia · AUBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine · ESNXP (Netherlands) · NLUniversity of Siegen · DEUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls in older people represent a major age-related health challenge facing our society. Novel methods for delivery of falls prevention programs are required to increase effectiveness and adherence to these programs while containing costs. The primary aim of the Information and Communications Technology-based System to Predict and Prevent Falls (iStoppFalls) project was to develop innovative home-based technologies for continuous monitoring and exercise-based prevention of falls in community-dwelling older people. The aim of this paper is to describe the components of the iStoppFalls system.

methodsThe system comprised of 1) a TV, 2) a PC, 3) the Microsoft Kinect, 4) a wearable sensor and 5) an assessment and training software as the main components.

resultsThe iStoppFalls system implements existing technologies to deliver a tailored home-based exercise and education program aimed at reducing fall risk in older people. A risk assessment tool was designed to identify fall risk factors. The content and progression rules of the iStoppFalls exergames were developed from evidence-based fall prevention interventions targeting muscle strength and balance in older people.

conclusionsThe iStoppFalls fall prevention program, used in conjunction with the multifactorial fall risk assessment tool, aims to provide a comprehensive and individualised, yet novel fall risk assessment and prevention program that is feasible for widespread use to prevent falls and fall-related injuries. This work provides a new approach to engage older people in home-based exercise programs to complement or provide a potentially motivational alternative to traditional exercise to reduce the risk of falling.

Indexed as

BalanceExerciseExergameFall preventionFall riskOlder peopleStrengthTechnology

Identifiers

PMID26865877
PMCPMC4748324
OpenAlexW2206342101

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.