Evidence map›Paper›PMID 33752704›Full record

ArticleJournal of neuroengineering and rehabilitation2021

Virtual reality-based assessment of cognitive-locomotor interference in healthy young adults.

Anne Deblock-Bellamy, Anouk Lamontagne, Bradford J McFadyen, Marie-Christine Ouellet, Andreanne K Blanchette

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.7field-weighted citation impact, top 4% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 17 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Anne Deblock-BellamyCenter for interdisciplinary research in rehabilitation and social integration (Cirris), CIUSSS de la Capitale-Nationale, 525 Boulevard Wilfrid-Hamel, Quebec City, QC, G1M 2S8, Canada.
Anouk LamontagneCentre for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Jewish Rehabilitation Hospital, CISSS de Laval, 3205 Alton-Goldbloom Place, Laval, QC, H7V 1R2, Canada.ORCID 0000-0003-2033-9063
Bradford J McFadyenCenter for interdisciplinary research in rehabilitation and social integration (Cirris), CIUSSS de la Capitale-Nationale, 525 Boulevard Wilfrid-Hamel, Quebec City, QC, G1M 2S8, Canada.ORCID 0000-0003-1992-4927
Marie-Christine OuelletCenter for interdisciplinary research in rehabilitation and social integration (Cirris), CIUSSS de la Capitale-Nationale, 525 Boulevard Wilfrid-Hamel, Quebec City, QC, G1M 2S8, Canada.ORCID 0000-0003-3477-1893
Andreanne K BlanchetteCenter for interdisciplinary research in rehabilitation and social integration (Cirris), CIUSSS de la Capitale-Nationale, 525 Boulevard Wilfrid-Hamel, Quebec City, QC, G1M 2S8, Canada. andreanne.blanchette@fmed.ulaval.ca.ORCID 0000-0003-4028-2957
Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean · CACentre for Interdisciplinary Research in Rehabilitation · CAJewish Rehabilitation Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA recent literature review emphasized the importance of assessing dual-task (DT) abilities with tasks that are representative of community ambulation. Assessing DT ability in real-life activities using standardized protocols remains difficult. Virtual reality (VR) may represent an interesting alternative enabling the exposure to different scenarios simulating community walking. To better understand dual-task abilities in everyday life activities, the aims of this study were (1) to assess locomotor and cognitive dual-task cost (DTC) during representative daily living activities, using VR, in healthy adults; and 2) to explore the influence of the nature and complexity of locomotor and cognitive tasks on DTC.

methodsFifteen healthy young adults (24.9 ± 2.7 years old, 8 women) were recruited to walk in a virtual 100 m shopping mall corridor, while remembering a 5-item list (DT condition), using an omnidirectional platform and a VR headset. Two levels of difficulty were proposed for the locomotor task (with vs. without virtual agent avoidance) and for the cognitive task (with vs. without items modification). These tasks were also performed in single task (ST) condition. Locomotor and cognitive DTC were measured by comparing performances in ST and DT conditions. Locomotor performance was characterized using walking speed, walking fluidity, and minimal distance between the participant and the virtual agent during avoidance. Cognitive performance was assessed with the number of items correctly recalled. Presence of DTC were determined with one-sample Wilcoxon signed-rank tests. To explore the influence of the tasks' complexity and nature on DTC, a nonparametric two-way repeated measure ANOVA was performed.

resultsNo locomotor interference was measured for any of the outcomes. A cognitive DTC of 6.67% was measured (p = .017) while participants performed simultaneously both complex locomotor and cognitive tasks. A significant interaction between locomotor task complexity and cognitive task nature (p = .002) was identified on cognitive DTC.

conclusionsIn challenging locomotor and cognitive conditions, healthy young adults present DTC in cognitive accuracy, which was influenced by the locomotor task complexity task and the cognitive task nature. A similar VR-based protocol might be used to investigate DT abilities in older adults and individuals with a stroke.

Indexed as

Activities of Daily LivingCognitionAdultFemaleHumansMaleMental RecallStrokeVirtual RealityWalkingWalking SpeedYoung AdultCognitionDual‐task costHealthy adultsLocomotionVirtual reality

Identifiers

PMID33752704
PMCPMC7983256
OpenAlexW3137764453

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.