Literature DB >> 36266559

Pre-frail older adults show improved cognition with StayFitLonger computerized home-based training: a randomized controlled trial.

Sylvie Belleville1,2, M Cuesta3, M Bieler-Aeschlimann4,5, K Giacomino6, A Widmer7, A G Mittaz Hager6, D Perez-Marcos5, S Cardin5, B Boller3,8, N Bier3,9, M Aubertin-Leheudre3,10, L Bherer3,9,11, N Berryman3,10, S Agrigoroaei12, J F Demonet4.   

Abstract

Multidomain interventions have shown tremendous potential for improving cognition in older adults. It is unclear if multidomain interventions can be delivered remotely and whether remote intervention is beneficial for older adults who are vulnerable or at risk of cognitive decline. In a 26-week multi-site, home-based, double-blind, randomized controlled trial, 120 cognitively healthy older adults (75 robust, 45 pre-frail; age range = 60-94) recruited from Switzerland, Canada, and Belgium were randomized to receive either the StayFitLonger (SFL) computerized multidomain training program or an active control intervention. Delivered on tablets, the SFL intervention combined adapted physical exercises (strength, balance, and mobility), cognitive training (divided attention, problem solving, and memory), opportunities for social and contributive interactions, and psychoeducation. The active control intervention provided basic mobilization exercises and access to video games. Cognitive outcomes were global cognition (Z-scores of attention, verbal fluency, and episodic memory for nondemented older adults; ZAVEN), memory, executive function, and processing speed. Linear mixed model analyses indicated improved performance on the ZAVEN global cognition score in the SFL group but not in the active control group. Stratified analyses by frailty status revealed improved ZAVEN global cognition and processing speed scores following SFL in the pre-frail group but not in the robust group. Overall, the study indicates that a computerized program providing a multidomain intervention at home can improve cognition in older adults. Importantly, pre-frail individuals, who are at higher risk of cognitive decline, seem to benefit more from the intervention. Trial registration: ClinicalTrials.gov, NCT037519 Registered on January 22, 2020-Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT04237519 .
© 2022. The Author(s).

Entities:  

Keywords:  Cognitive prevention; Cognitive training; Frailty; Home-based computerized training; Physical training

Year:  2022        PMID: 36266559     DOI: 10.1007/s11357-022-00674-5

Source DB:  PubMed          Journal:  Geroscience        ISSN: 2509-2723            Impact factor:   7.581


  31 in total

Review 1.  Untangling the concepts of disability, frailty, and comorbidity: implications for improved targeting and care.

Authors:  Linda P Fried; Luigi Ferrucci; Jonathan Darer; Jeff D Williamson; Gerard Anderson
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2004-03       Impact factor: 6.053

2.  Effects of a multidomain lifestyle modification on cognitive function in older adults: an eighteen-month community-based cluster randomized controlled trial.

Authors:  Kang Soo Lee; Yunhwan Lee; Joung Hwan Back; Sang Joon Son; Seong Hye Choi; Young-Ki Chung; Ki-Young Lim; Jai Sung Noh; Sang Hyun Koh; Byoung Hoon Oh; Chang Hyung Hong
Journal:  Psychother Psychosom       Date:  2014-08-06       Impact factor: 17.659

3.  Healthy ageing through internet counselling in the elderly (HATICE): a multinational, randomised controlled trial.

Authors:  Edo Richard; Eric P Moll van Charante; Marieke P Hoevenaar-Blom; Nicola Coley; Mariagnese Barbera; Abraham van der Groep; Yannick Meiller; Francesca Mangialasche; Cathrien B Beishuizen; Susan Jongstra; Tessa van Middelaar; Lennard L Van Wanrooij; Tiia Ngandu; Juliette Guillemont; Sandrine Andrieu; Carol Brayne; Miia Kivipelto; Hilkka Soininen; Willem A Van Gool
Journal:  Lancet Digit Health       Date:  2019-11-14

4.  Gender differences in the effect of depression and cognitive impairment on risk of falls among community-dwelling older adults.

Authors:  Hyun Woong Roh; Dong Eun Lee; Yunhwan Lee; Sang Joon Son; Chang Hyung Hong
Journal:  J Affect Disord       Date:  2020-12-29       Impact factor: 4.839

5.  Walking difficulty, walking speed, and age as predictors of self-rated health: the women's health and aging study.

Authors:  M Jylhä; J M Guralnik; J Balfour; L P Fried
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2001-10       Impact factor: 6.053

6.  A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): a randomised controlled trial.

Authors:  Tiia Ngandu; Jenni Lehtisalo; Alina Solomon; Esko Levälahti; Satu Ahtiluoto; Riitta Antikainen; Lars Bäckman; Tuomo Hänninen; Antti Jula; Tiina Laatikainen; Jaana Lindström; Francesca Mangialasche; Teemu Paajanen; Satu Pajala; Markku Peltonen; Rainer Rauramaa; Anna Stigsdotter-Neely; Timo Strandberg; Jaakko Tuomilehto; Hilkka Soininen; Miia Kivipelto
Journal:  Lancet       Date:  2015-03-12       Impact factor: 79.321

7.  Training-induced compensation versus magnification of individual differences in memory performance.

Authors:  Martin Lövdén; Yvonne Brehmer; Shu-Chen Li; Ulman Lindenberger
Journal:  Front Hum Neurosci       Date:  2012-05-15       Impact factor: 3.169

Review 8.  Dementia prevention, intervention, and care.

Authors:  Gill Livingston; Andrew Sommerlad; Vasiliki Orgeta; Sergi G Costafreda; Jonathan Huntley; David Ames; Clive Ballard; Sube Banerjee; Alistair Burns; Jiska Cohen-Mansfield; Claudia Cooper; Nick Fox; Laura N Gitlin; Robert Howard; Helen C Kales; Eric B Larson; Karen Ritchie; Kenneth Rockwood; Elizabeth L Sampson; Quincy Samus; Lon S Schneider; Geir Selbæk; Linda Teri; Naaheed Mukadam
Journal:  Lancet       Date:  2017-07-20       Impact factor: 202.731

9.  Potential for primary prevention of Alzheimer's disease: an analysis of population-based data.

Authors:  Sam Norton; Fiona E Matthews; Deborah E Barnes; Kristine Yaffe; Carol Brayne
Journal:  Lancet Neurol       Date:  2014-08       Impact factor: 44.182

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