Evidence map›Paper›PMID 32047751›Full record

ArticleFrontiers in medicine2019

Effects of an In-home Multicomponent Exergame Training on Physical Functions, Cognition, and Brain Volume of Older Adults: A Randomized Controlled Trial.

Manuela Adcock, Mélanie Fankhauser, Jennifer Post, Kai Lutz, Leopold Zizlsperger, Andreas R Luft, Vânia Guimarães, Alexandra Schättin, Eling D de Bruin

Registry-linked trialOpen access · goldAbstract readCase Reports
In one paragraph

Article in Frontiers in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05751551 (Feasibility and Effectiveness of a Personalized, Home-based Motor-cognitive Training Program in Community-dwelling Older Adults - a Pragmatic Pilot Randomized Controlled Trial), which is not on this map. Cited by 62 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 16 pooled it
19.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05751551 nacompletednot on this mapstarted 2023, after this paper: background citation

Feasibility and Effectiveness of a Personalized, Home-based Motor-cognitive Training Program in Community-dwelling Older Adults - a Pragmatic Pilot Randomized Controlled Trial

TypeinterventionalSponsorSwiss Federal Institute of TechnologyRan2023 to 2024Enrolled144ConditionsAged, Independent LivingArmsPersonalized, home-based motor-cognitive training
3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 16 syntheses or guidelines pooled it, 128 citations in OpenAlex.

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  20. Optimal type and dose of exercise to improve cognitive function in healthy and pre-sarcopenic older adults: a bayesian network meta-analysis of randomized controlled trials.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
    Review

2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 3 countries.

Manuela AdcockInstitute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Mélanie FankhauserInstitute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Jennifer PostInstitute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Kai LutzCereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland.
Leopold ZizlspergerCereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland.
Andreas R LuftCereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland.
Vânia GuimarãesFraunhofer Portugal AICOS, Porto, Portugal.
Alexandra SchättinInstitute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Eling D de BruinInstitute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
ETH Zurich · CHCereneo · CHFraunhofer Portugal Research · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging is associated with a decline in physical functions, cognition and brain structure. Considering that human life is based on an inseparable physical-cognitive interplay, combined physical-cognitive training through exergames is a promising approach to counteract age-related impairments. The aim of this study was to assess the effects of an in-home multicomponent exergame training on [i] physical and cognitive functions and [ii] brain volume of older adults compared to a usual care control group. Thirty-seven healthy and independently living older adults aged 65 years and older were randomly assigned to an intervention (exergame training) or a control (usual care) group. Over 16 weeks, the participants of the intervention group absolved three home-based exergame sessions per week (à 30-40 min) including Tai Chi-inspired exercises, dancing and step-based cognitive games. The control participants continued with their normal daily living. Pre- and post-measurements included assessments of physical (gait parameters, functional muscle strength, balance, aerobic endurance) and cognitive (processing speed, short-term attention span, working memory, inhibition, mental flexibility) functions. T1-weighted magnetic resonance imaging was conducted to assess brain volume. Thirty-one participants (mean age = 73.9 ± 6.4 years, range = 65-90 years, 16 female) completed the study. Inhibition and working memory significantly improved post-intervention in favor of the intervention group [inhibition:

Indexed as

brain volumecognitionexergamehealthy agingphysical-cognitive trainingphysical functions

Identifiers

PMID32047751
PMCPMC6997483
OpenAlexW3003395619

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.