Cargando…

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

BACKGROUND: Falls 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...

Descripción completa

Detalles Bibliográficos
Autores principales: Gschwind, Yves J., Eichberg, Sabine, Ejupi, Andreas, de Rosario, Helios, Kroll, Michael, Marston, Hannah R., Drobics, Mario, Annegarn, Janneke, Wieching, Rainer, Lord, Stephen R., Aal, Konstantin, Vaziri, Daryoush, Woodbury, Ashley, Fink, Dennis, Delbaere, Kim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4748323/
https://www.ncbi.nlm.nih.gov/pubmed/26865874
http://dx.doi.org/10.1186/s11556-015-0155-6
_version_ 1782415107837394944
author Gschwind, Yves J.
Eichberg, Sabine
Ejupi, Andreas
de Rosario, Helios
Kroll, Michael
Marston, Hannah R.
Drobics, Mario
Annegarn, Janneke
Wieching, Rainer
Lord, Stephen R.
Aal, Konstantin
Vaziri, Daryoush
Woodbury, Ashley
Fink, Dennis
Delbaere, Kim
author_facet Gschwind, Yves J.
Eichberg, Sabine
Ejupi, Andreas
de Rosario, Helios
Kroll, Michael
Marston, Hannah R.
Drobics, Mario
Annegarn, Janneke
Wieching, Rainer
Lord, Stephen R.
Aal, Konstantin
Vaziri, Daryoush
Woodbury, Ashley
Fink, Dennis
Delbaere, Kim
author_sort Gschwind, Yves J.
collection PubMed
description BACKGROUND: Falls 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. METHODS: A 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. RESULTS: The 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 (F(1,127) = 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 (F(2,125) = 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). CONCLUSIONS: The 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 REGISTRATION: Australian New Zealand Clinical Trials Registry Trial ID: ACTRN12614000096651 International Standard Randomised Controlled Trial Number: ISRCTN15932647
format Online
Article
Text
id pubmed-4748323
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-47483232016-02-10 ICT-based system to predict and prevent falls (iStoppFalls): results from an international multicenter randomized controlled trial Gschwind, Yves J. Eichberg, Sabine Ejupi, Andreas de Rosario, Helios Kroll, Michael Marston, Hannah R. Drobics, Mario Annegarn, Janneke Wieching, Rainer Lord, Stephen R. Aal, Konstantin Vaziri, Daryoush Woodbury, Ashley Fink, Dennis Delbaere, Kim Eur Rev Aging Phys Act Research Article BACKGROUND: Falls 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. METHODS: A 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. RESULTS: The 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 (F(1,127) = 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 (F(2,125) = 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). CONCLUSIONS: The 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 REGISTRATION: Australian New Zealand Clinical Trials Registry Trial ID: ACTRN12614000096651 International Standard Randomised Controlled Trial Number: ISRCTN15932647 BioMed Central 2015-11-27 /pmc/articles/PMC4748323/ /pubmed/26865874 http://dx.doi.org/10.1186/s11556-015-0155-6 Text en © Gschwind et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Gschwind, Yves J.
Eichberg, Sabine
Ejupi, Andreas
de Rosario, Helios
Kroll, Michael
Marston, Hannah R.
Drobics, Mario
Annegarn, Janneke
Wieching, Rainer
Lord, Stephen R.
Aal, Konstantin
Vaziri, Daryoush
Woodbury, Ashley
Fink, Dennis
Delbaere, Kim
ICT-based system to predict and prevent falls (iStoppFalls): results from an international multicenter randomized controlled trial
title ICT-based system to predict and prevent falls (iStoppFalls): results from an international multicenter randomized controlled trial
title_full ICT-based system to predict and prevent falls (iStoppFalls): results from an international multicenter randomized controlled trial
title_fullStr ICT-based system to predict and prevent falls (iStoppFalls): results from an international multicenter randomized controlled trial
title_full_unstemmed ICT-based system to predict and prevent falls (iStoppFalls): results from an international multicenter randomized controlled trial
title_short ICT-based system to predict and prevent falls (iStoppFalls): results from an international multicenter randomized controlled trial
title_sort ict-based system to predict and prevent falls (istoppfalls): results from an international multicenter randomized controlled trial
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4748323/
https://www.ncbi.nlm.nih.gov/pubmed/26865874
http://dx.doi.org/10.1186/s11556-015-0155-6
work_keys_str_mv AT gschwindyvesj ictbasedsystemtopredictandpreventfallsistoppfallsresultsfromaninternationalmulticenterrandomizedcontrolledtrial
AT eichbergsabine ictbasedsystemtopredictandpreventfallsistoppfallsresultsfromaninternationalmulticenterrandomizedcontrolledtrial
AT ejupiandreas ictbasedsystemtopredictandpreventfallsistoppfallsresultsfromaninternationalmulticenterrandomizedcontrolledtrial
AT derosariohelios ictbasedsystemtopredictandpreventfallsistoppfallsresultsfromaninternationalmulticenterrandomizedcontrolledtrial
AT krollmichael ictbasedsystemtopredictandpreventfallsistoppfallsresultsfromaninternationalmulticenterrandomizedcontrolledtrial
AT marstonhannahr ictbasedsystemtopredictandpreventfallsistoppfallsresultsfromaninternationalmulticenterrandomizedcontrolledtrial
AT drobicsmario ictbasedsystemtopredictandpreventfallsistoppfallsresultsfromaninternationalmulticenterrandomizedcontrolledtrial
AT annegarnjanneke ictbasedsystemtopredictandpreventfallsistoppfallsresultsfromaninternationalmulticenterrandomizedcontrolledtrial
AT wiechingrainer ictbasedsystemtopredictandpreventfallsistoppfallsresultsfromaninternationalmulticenterrandomizedcontrolledtrial
AT lordstephenr ictbasedsystemtopredictandpreventfallsistoppfallsresultsfromaninternationalmulticenterrandomizedcontrolledtrial
AT aalkonstantin ictbasedsystemtopredictandpreventfallsistoppfallsresultsfromaninternationalmulticenterrandomizedcontrolledtrial
AT vaziridaryoush ictbasedsystemtopredictandpreventfallsistoppfallsresultsfromaninternationalmulticenterrandomizedcontrolledtrial
AT woodburyashley ictbasedsystemtopredictandpreventfallsistoppfallsresultsfromaninternationalmulticenterrandomizedcontrolledtrial
AT finkdennis ictbasedsystemtopredictandpreventfallsistoppfallsresultsfromaninternationalmulticenterrandomizedcontrolledtrial
AT delbaerekim ictbasedsystemtopredictandpreventfallsistoppfallsresultsfromaninternationalmulticenterrandomizedcontrolledtrial