Brain Sciences (Feb 2017)
Reducing Fall Risk with Combined Motor and Cognitive Training in Elderly Fallers
- Francesco Barban,
- Roberta Annicchiarico,
- Matteo Melideo,
- Alessia Federici,
- Maria Giovanna Lombardi,
- Simone Giuli,
- Claudia Ricci,
- Fulvia Adriano,
- Ivo Griffini,
- Manuel Silvestri,
- Massimo Chiusso,
- Sergio Neglia,
- Sergio Ariño-Blasco,
- Raquel Cuevas Perez,
- Yannis Dionyssiotis,
- Georgios Koumanakos,
- Milo Kovačeić,
- Nuria Montero-Fernández,
- Oscar Pino,
- Niels Boye,
- Ulises Cortés,
- Cristian Barrué,
- Atia Cortés,
- Peter Levene,
- Stelios Pantelopoulos,
- Roberto Rosso,
- José Antonio Serra-Rexach,
- Angelo Maria Sabatini,
- Carlo Caltagirone
Affiliations
- Francesco Barban
- Clinical and Behavioral Neurology Laboratory, IRCCS Fondazione Santa Lucia, Rome 00179, Italy
- Roberta Annicchiarico
- Clinical and Behavioral Neurology Laboratory, IRCCS Fondazione Santa Lucia, Rome 00179, Italy
- Matteo Melideo
- Engineering Ingegneria Informatica SpA, Rome 00185, Italy
- Alessia Federici
- Clinical and Behavioral Neurology Laboratory, IRCCS Fondazione Santa Lucia, Rome 00179, Italy
- Maria Giovanna Lombardi
- Clinical and Behavioral Neurology Laboratory, IRCCS Fondazione Santa Lucia, Rome 00179, Italy
- Simone Giuli
- Clinical and Behavioral Neurology Laboratory, IRCCS Fondazione Santa Lucia, Rome 00179, Italy
- Claudia Ricci
- Clinical and Behavioral Neurology Laboratory, IRCCS Fondazione Santa Lucia, Rome 00179, Italy
- Fulvia Adriano
- Clinical and Behavioral Neurology Laboratory, IRCCS Fondazione Santa Lucia, Rome 00179, Italy
- Ivo Griffini
- Clinical and Behavioral Neurology Laboratory, IRCCS Fondazione Santa Lucia, Rome 00179, Italy
- Manuel Silvestri
- Clinical and Behavioral Neurology Laboratory, IRCCS Fondazione Santa Lucia, Rome 00179, Italy
- Massimo Chiusso
- Clinical and Behavioral Neurology Laboratory, IRCCS Fondazione Santa Lucia, Rome 00179, Italy
- Sergio Neglia
- Engineering Ingegneria Informatica SpA, Rome 00185, Italy
- Sergio Ariño-Blasco
- Hospital General de Granollers, Barcelona 8400, Spain
- Raquel Cuevas Perez
- Hospital General de Granollers, Barcelona 8400, Spain
- Yannis Dionyssiotis
- Social Policy Center, Municipality of Kifissia, Athens-Kifissia 14562, Greece
- Georgios Koumanakos
- Frontida Zois Home Care Agency, Patras 25002, Greece
- Milo Kovačeić
- Municipality of Stari Grad, Belgrade 11000, Serbia
- Nuria Montero-Fernández
- Geriatric Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid 28007, Spain
- Oscar Pino
- Benito Menni CASM, Sant Boi de Llobregat-Barcelona 08830, Spain
- Niels Boye
- Klinisk Informatik, Aarhus 8000, Denmark
- Ulises Cortés
- Knowledge Engineering & Machine Learning Group Computer Software Department, Universitat Politècnica de Catalunya-BarcelonaTech, Barcelona 08034, Spain
- Cristian Barrué
- Knowledge Engineering & Machine Learning Group Computer Software Department, Universitat Politècnica de Catalunya-BarcelonaTech, Barcelona 08034, Spain
- Atia Cortés
- Knowledge Engineering & Machine Learning Group Computer Software Department, Universitat Politècnica de Catalunya-BarcelonaTech, Barcelona 08034, Spain
- Peter Levene
- Docobo Ltd., Bookham, Leatherhead KT23 4AA, UK
- Stelios Pantelopoulos
- Singular Logic, Athens 145 64, Greece
- Roberto Rosso
- Elettronica Bio Medicale S.r.l., Foligno 06034, Italy
- José Antonio Serra-Rexach
- Geriatric Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid 28007, Spain
- Angelo Maria Sabatini
- The BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa 56127, Italy
- Carlo Caltagirone
- Clinical and Behavioral Neurology Laboratory, IRCCS Fondazione Santa Lucia, Rome 00179, Italy
- DOI
- https://doi.org/10.3390/brainsci7020019
- Journal volume & issue
-
Vol. 7,
no. 2
p. 19
Abstract
Background. Falling is a major clinical problem in elderly people, demanding effective solutions. At present, the only effective intervention is motor training of balance and strength. Executive function-based training (EFt) might be effective at preventing falls according to evidence showing a relationship between executive functions and gait abnormalities. The aim was to assess the effectiveness of a motor and a cognitive treatment developed within the EU co-funded project I-DONT-FALL. Methods. In a sample of 481 elderly people at risk of falls recruited in this multicenter randomised controlled trial, the effectiveness of a motor treatment (pure motor or mixed with EFt) of 24 one-hour sessions delivered through an i-Walker with a non-motor treatment (pure EFt or control condition) was evaluated. Similarly, a 24 one-hour session cognitive treatment (pure EFt or mixed with motor training), delivered through a touch-screen computer was compared with a non-cognitive treatment (pure motor or control condition). Results. Motor treatment, particularly when mixed with EFt, reduced significantly fear of falling (F(1,478) = 6.786, p = 0.009) although to a limited extent (ES −0.25) restricted to the period after intervention. Conclusions. This study suggests the effectiveness of motor treatment empowered by EFt in reducing fear of falling.
Keywords