Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
344 participants
INTERVENTIONAL
2025-06-16
2027-05-31
Brief Summary
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Detailed Description
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Physical frailty is well-studied, often defined by low gait speed, fatigue, weakness, weight loss, and reduced activity, but broader health indicators are also used. Cognitive frailty, recognized more recently, is defined as the co-existence of physical frailty and cognitive impairment without dementia. It may signal early dementia risk and greater susceptibility to adverse outcomes.
A core feature of frailty is balance dysfunction, caused by impairments in sensory, cognitive, and motor systems. This is especially problematic during dual tasks, like walking while talking, where attention is divided. Such deficits increase fall risk and accelerate cognitive and physical decline.
Traditional fall prevention emphasizes strength and balance, often overlooking cognitive factors. Yet, evidence shows that motor and cognitive systems are linked, and dual-task training can enhance both domains. Cognitive-motor training, which integrates cognitively demanding tasks into physical exercises, offers a promising dual-domain intervention by leveraging shared brain networks and promoting neuroplasticity.
While effective, most cognitive-motor programs are delivered in person and rarely tailored to individual frailty profiles. Personalized, home-based programs could offer better results through tailored challenge and engagement. Exergames, interactive digital games with physical and cognitive components, show promise as customizable, engaging tools for such training. However, few have integrated both domains simultaneously in frail adults.
This study aims to assess a 12-week, home-based personalized cognitive-motor training program against the Otago Exercise Program (OEP) in frail older adults. Outcomes include physical and cognitive fall-risk factors, fall incidence, quality of life, and physical activity. The hypothesis is that the personalized cognitive-motor program will lead to greater improvements and may offer an effective, scalable solution to reduce falls and promote independence in this vulnerable population.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
SINGLE
Study Groups
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Intervention Group
Participants in the IG will receive personalized cognitive-motor training in their home environment. The simultaneous cognitive-motor training in this study will be delivered using the exergame platform "Senso Flex" by Dividat (Dividat AG, Schindellegi, Switzerland). The first session will be supervised by an investigator. Afterwards, participants will continue the training independently at home, with remote supervision and guidance. Participants will be recommended to train 5 times per week for 30 minutes in each session over a 12-week period. Weekly game play will be 150 min to help ensure equal doses of training between IG and CG. The training plan for each participant will be tailored to ensure a progressive and personalized approach. Besides, participants of the intervention group will participate in 3 assessment sessions: (1) T1 (baseline assessments), (2) T2 (post-intervention, after training period), (3) T3 (follow-up assessment).
Personalized, home-based motor-cognitive exergame training
The simultaneous cognitive-motor training in this study will be delivered using the exergame platform "Senso Flex" by Dividat (Dividat AG, Schindellegi, Switzerland), which is a pressure-sensitive foldable mat that connects to standard televisions (or any big screen). Games will be allocated across three primary domains: cognition (consisting of five sub-domains), balance (consisting of four sub-domains) and endurance. The five sub-domains of cognition are visuospatial orientation (Cognition A), memory (Cognition B), response inhibition (Cognition C), choice reaction time (Cognition D) and task switching (Cognition E). The four sub-domains of balance are mediolateral weight-shifting (Balance A), multidimensional weight-shifting (Balance B), free walking/stepping (Balance C) and mediolateral stepping (Balance D). The training sessions will be personalized in terms of difficulty level.
Control Group
Participants in the CG will receive the evidence-based OEP on fall prevention. Like for the IG, participants of the CG will be recommended to train 5 times per week for 30 minutes in each session. The training will be conducted over a 12-week period, with a total weekly duration of 150 minutes. The first session will be supervised by an investigator. The program will be implemented in the form of a booklet, designed to provide a comprehensive guide for improving balance, strength, and overall physical function. Like the IG, the participants of the control group will also participate in 3 assessment sessions: (1) T1 (baseline assessments), (2) T2 (post-intervention, after training period), (3) T3 (follow-up assessment).
Otago Exercise Program
Participants in the CG will receive the evidence-based OEP on fall prevention. The OEP was selected as an active control to mirror usual care in real-world clinical settings and support the pragmatic nature of our study design. The program will be implemented in the form of a booklet, designed to provide a comprehensive guide for improving balance, strength, and overall physical function. Specifically tailored for older adults, the program includes a variety of exercises targeting key areas such as lower limb strength, balance, and flexibility. It features step-by-step instructions, illustrations, and tips to ensure exercises are performed safely and effectively.
Interventions
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Personalized, home-based motor-cognitive exergame training
The simultaneous cognitive-motor training in this study will be delivered using the exergame platform "Senso Flex" by Dividat (Dividat AG, Schindellegi, Switzerland), which is a pressure-sensitive foldable mat that connects to standard televisions (or any big screen). Games will be allocated across three primary domains: cognition (consisting of five sub-domains), balance (consisting of four sub-domains) and endurance. The five sub-domains of cognition are visuospatial orientation (Cognition A), memory (Cognition B), response inhibition (Cognition C), choice reaction time (Cognition D) and task switching (Cognition E). The four sub-domains of balance are mediolateral weight-shifting (Balance A), multidimensional weight-shifting (Balance B), free walking/stepping (Balance C) and mediolateral stepping (Balance D). The training sessions will be personalized in terms of difficulty level.
Otago Exercise Program
Participants in the CG will receive the evidence-based OEP on fall prevention. The OEP was selected as an active control to mirror usual care in real-world clinical settings and support the pragmatic nature of our study design. The program will be implemented in the form of a booklet, designed to provide a comprehensive guide for improving balance, strength, and overall physical function. Specifically tailored for older adults, the program includes a variety of exercises targeting key areas such as lower limb strength, balance, and flexibility. It features step-by-step instructions, illustrations, and tips to ensure exercises are performed safely and effectively.
Eligibility Criteria
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Inclusion Criteria
* Fried Frailty Phenotype score 3 or higher and/or MoCA score between 10-25
* Must be able to give informed consent
* Access to internet and a TV/large screen at home
Exclusion Criteria
* Cognitive limitations (e.g., advanced Alzheimer's disease, frontotemporal/Lewy body/vascular dementia)
* Sensory limitations (e.g., color-blindness, complete hearing loss and neuropathy causing significant loss of sensation)
* Psychiatric limitations (e.g., acute, or uncontrolled affective disorders)
* Comorbidities that would impair their ability to engage in the training
* Simultaneous participation in other clinical trials/intervention studies
* Inability to understand game instructions and play the games safely, based on judgement of a therapist
50 Years
ALL
No
Sponsors
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Eleftheria Giannouli
OTHER
Responsible Party
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Eleftheria Giannouli
Principal Investigator
Principal Investigators
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Eleftheria Giannouli, PhD
Role: PRINCIPAL_INVESTIGATOR
ETH Zurich
Locations
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Institute of Human Movement Sciences and Sport, ETH Zürich
Zurich, , Switzerland
Countries
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Central Contacts
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Facility Contacts
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References
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Seinsche J, Kyprianou E, de Bruin ED, Saibene E, Rizzo F, Carpinella I, Lutz L, Ferrarin M, Villa R, Chrysostomou S, Moza S, Giannouli E. Discriminative ability of instrumented cognitive-motor assessments to distinguish fallers from non-fallers. Geroscience. 2025 Feb;47(1):1139-1150. doi: 10.1007/s11357-024-01313-x. Epub 2024 Aug 9.
Seinsche J, de Bruin ED, Saibene E, Rizzo F, Carpinella I, Ferrarin M, Ifanger S, Moza S, Giannouli E. Feasibility and Effectiveness of a Personalized Home-Based Motor-Cognitive Training Program in Community-Dwelling Older Adults: Protocol for a Pragmatic Pilot Randomized Controlled Trial. JMIR Res Protoc. 2023 Nov 9;12:e49377. doi: 10.2196/49377.
Rainero I, Summers MJ, Monter M, Bazzani M, Giannouli E, Aumayr G, Burin D, Provero P, Vercelli AE; My-AHA Consortium. The My Active and Healthy Aging ICT platform prevents quality of life decline in older adults: a randomised controlled study. Age Ageing. 2021 Jun 28;50(4):1261-1267. doi: 10.1093/ageing/afaa290.
Glatt RM, Patis C, Miller KJ, Merrill DA, Stubbs B, Adcock M, Giannouli E, Siddarth P. The "FitBrain" program: implementing exergaming & dual-task exercise programs in outpatient clinical settings. Front Sports Act Living. 2024 Dec 6;6:1449699. doi: 10.3389/fspor.2024.1449699. eCollection 2024.
Seinsche J, de Bruin ED, Saibene E, Rizzo F, Carpinella I, Ferrarin M, Moza S, Ritter T, Giannouli E. A Newly Developed Exergame-Based Telerehabilitation System for Older Adults: Usability and Technology Acceptance Study. JMIR Hum Factors. 2023 Dec 7;10:e48845. doi: 10.2196/48845.
Seinsche J, de Bruin ED, Carpinella I, Ferrarin M, Moza S, Rizzo F, Salatino C, Giannouli E. Older adults' needs and requirements for a comprehensive exergame-based telerehabilitation system: A focus group study. Front Public Health. 2023 Jan 11;10:1076149. doi: 10.3389/fpubh.2022.1076149. eCollection 2022.
Bernardes RA, Giannouli E, Neves H, Parola V. Editorial: User-centered technology for exercise optimization in older adults. Front Sports Act Living. 2025 Feb 4;7:1558979. doi: 10.3389/fspor.2025.1558979. eCollection 2025. No abstract available.
Buttiker J, Marks D, Hanke M, Ludyga S, Marsico P, Eggimann B, Giannouli E. Cognitive-motor exergame training on a labile surface in stroke inpatients: study protocol for a randomized controlled trial. Front Neurol. 2024 Jun 19;15:1402145. doi: 10.3389/fneur.2024.1402145. eCollection 2024.
Jaggi S, Wachter A, Adcock M, de Bruin ED, Moller JC, Marks D, Schweinfurther R, Giannouli E. Feasibility and effects of cognitive-motor exergames on fall risk factors in typical and atypical Parkinson's inpatients: a randomized controlled pilot study. Eur J Med Res. 2023 Jan 16;28(1):30. doi: 10.1186/s40001-022-00963-x.
Altorfer P, Adcock M, de Bruin ED, Graf F, Giannouli E. Feasibility of Cognitive-Motor Exergames in Geriatric Inpatient Rehabilitation: A Pilot Randomized Controlled Study. Front Aging Neurosci. 2021 Nov 29;13:739948. doi: 10.3389/fnagi.2021.739948. eCollection 2021.
Other Identifiers
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S.M.A.R.T.
Identifier Type: -
Identifier Source: org_study_id
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