Literature DB >> 27524393

Addition of a non-immersive virtual reality component to treadmill training to reduce fall risk in older adults (V-TIME): a randomised controlled trial.

Anat Mirelman1, Lynn Rochester2, Inbal Maidan3, Silvia Del Din2, Lisa Alcock2, Freek Nieuwhof4, Marcel Olde Rikkert5, Bastiaan R Bloem6, Elisa Pelosin7, Laura Avanzino8, Giovanni Abbruzzese7, Kim Dockx9, Esther Bekkers9, Nir Giladi10, Alice Nieuwboer9, Jeffrey M Hausdorff11.   

Abstract

BACKGROUND: Age-associated motor and cognitive deficits increase the risk of falls, a major cause of morbidity and mortality. Because of the significant ramifications of falls, many interventions have been proposed, but few have aimed to prevent falls via an integrated approach targeting both motor and cognitive function. We aimed to test the hypothesis that an intervention combining treadmill training with non-immersive virtual reality (VR) to target both cognitive aspects of safe ambulation and mobility would lead to fewer falls than would treadmill training alone.
METHODS: We carried out this randomised controlled trial at five clinical centres across five countries (Belgium, Israel, Italy, the Netherlands, and the UK). Adults aged 60-90 years with a high risk of falls based on a history of two or more falls in the 6 months before the study and with varied motor and cognitive deficits were randomly assigned by use of computer-based allocation to receive 6 weeks of either treadmill training plus VR or treadmill training alone. Randomisation was stratified by subgroups of patients (those with a history of idiopathic falls, those with mild cognitive impairment, and those with Parkinson's disease) and sex, with stratification per clinical site. Group allocation was done by a third party not involved in onsite study procedures. Both groups aimed to train three times per week for 6 weeks, with each session lasting about 45 min and structured training progression individualised to the participant's level of performance. The VR system consisted of a motion-capture camera and a computer-generated simulation projected on to a large screen, which was specifically designed to reduce fall risk in older adults by including real-life challenges such as obstacles, multiple pathways, and distracters that required continual adjustment of steps. The primary outcome was the incident rate of falls during the 6 months after the end of training, which was assessed in a modified intention-to-treat population. Safety was assessed in all patients who were assigned a treatment. This study is registered with ClinicalTrials.gov, NCT01732653.
FINDINGS: Between Jan 6, 2013, and April 3, 2015, 302 adults were randomly assigned to either the treadmill training plus VR group (n=154) or treadmill training alone group (n=148). Data from 282 (93%) participants were included in the prespecified, modified intention-to-treat analysis. Before training, the incident rate of falls was similar in both groups (10·7 [SD 35·6] falls per 6 months for treadmill training alone vs 11·9 [39·5] falls per 6 months for treadmill training plus VR). In the 6 months after training, the incident rate was significantly lower in the treadmill training plus VR group than it had been before training (6·00 [95% CI 4·36-8·25] falls per 6 months; p<0·0001 vs before training), whereas the incident rate did not decrease significantly in the treadmill training alone group (8·27 [5·55-12·31] falls per 6 months; p=0·49). 6 months after the end of training, the incident rate of falls was also significantly lower in the treadmill training plus VR group than in the treadmill training group (incident rate ratio 0·58, 95% CI 0·36-0·96; p=0·033). No serious training-related adverse events occurred.
INTERPRETATION: In a diverse group of older adults at high risk for falls, treadmill training plus VR led to reduced fall rates compared with treadmill training alone. FUNDING: European Commission.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27524393     DOI: 10.1016/S0140-6736(16)31325-3

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  77 in total

1.  Caring for Chronically Ill Older Adults: A View Over the Last 75 Years.

Authors:  Karl Pillemer; Sara J Czaja; M Cary Reid
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2020-11-13       Impact factor: 4.077

2.  Analysis of Free-Living Gait in Older Adults With and Without Parkinson's Disease and With and Without a History of Falls: Identifying Generic and Disease-Specific Characteristics.

Authors:  Silvia Del Din; Brook Galna; Alan Godfrey; Esther M J Bekkers; Elisa Pelosin; Freek Nieuwhof; Anat Mirelman; Jeffrey M Hausdorff; Lynn Rochester
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-03-14       Impact factor: 6.053

3.  Cognitive associations with comprehensive gait and static balance measures in Parkinson's disease.

Authors:  Rosie Morris; Douglas N Martini; Katrijn Smulders; Valerie E Kelly; Cyrus P Zabetian; Kathleen Poston; Amie Hiller; Kathryn A Chung; Laurice Yang; Shu-Ching Hu; Karen L Edwards; Brenna Cholerton; Thomas J Grabowski; Thomas J Montine; Joseph F Quinn; Fay Horak
Journal:  Parkinsonism Relat Disord       Date:  2019-07-04       Impact factor: 4.891

Review 4.  Overview of the cholinergic contribution to gait, balance and falls in Parkinson's disease.

Authors:  Rosie Morris; Douglas N Martini; Tara Madhyastha; Valerie E Kelly; Thomas J Grabowski; John Nutt; Fay Horak
Journal:  Parkinsonism Relat Disord       Date:  2019-02-14       Impact factor: 4.891

5.  Safety and Feasibility of Dual-task Rehabilitation Program for Body Trunk Balance Using Virtual Reality and Three-dimensional Tracking Technologies.

Authors:  Masahiko Hara; Tetsuhisa Kitamura; Yuichiro Murakawa; Kyosuke Shimba; Shimpei Yamaguchi; Masatake Tamaki
Journal:  Prog Rehabil Med       Date:  2018-10-24

Review 6.  Virtual reality balance training to improve balance and mobility in Parkinson's disease: a systematic review and meta-analysis.

Authors:  Elisabetta Sarasso; Andrea Gardoni; Andrea Tettamanti; Federica Agosta; Massimo Filippi; Davide Corbetta
Journal:  J Neurol       Date:  2021-10-28       Impact factor: 4.849

Review 7.  Virtual reality in research and rehabilitation of gait and balance in Parkinson disease.

Authors:  Colleen G Canning; Natalie E Allen; Evelien Nackaerts; Serene S Paul; Alice Nieuwboer; Moran Gilat
Journal:  Nat Rev Neurol       Date:  2020-06-26       Impact factor: 42.937

Review 8.  Evidence for Early and Regular Physical Therapy and Exercise in Parkinson's Disease.

Authors:  Terry D Ellis; Cristina Colón-Semenza; Tamara R DeAngelis; Cathi A Thomas; Marie-Hélène Saint Hilaire; Gammon M Earhart; Leland E Dibble
Journal:  Semin Neurol       Date:  2021-03-19       Impact factor: 3.420

9.  Prevalence and Associated Factors of Falls among Older Adults between Urban and Rural Areas of Shantou City, China.

Authors:  Xiaodong Chen; Zeting Lin; Ran Gao; Yijian Yang; Liping Li
Journal:  Int J Environ Res Public Health       Date:  2021-07-01       Impact factor: 3.390

Review 10.  The Effect of Mixed Reality Technologies for Falls Prevention Among Older Adults: Systematic Review and Meta-analysis.

Authors:  Anna Nishchyk; Weiqin Chen; Are Hugo Pripp; Astrid Bergland
Journal:  JMIR Aging       Date:  2021-06-30
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