Evidence map›Paper›PMID 34960520›Full record

ArticleSensors (Basel, Switzerland)2021

The Effect of a Verbal Cognitive Task on Postural Sway Does Not Persist When the Task Is Over.

Kayla Bohlke, Xiaonan Zhu, Patrick J Sparto, Mark S Redfern, Caterina Rosano, Ervin Sejdic, Andrea L Rosso

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Trial
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  7. Review
  8. Article
  9. Age and attentional focus instructions effects on postural and supra-postural tasks among older adults with mild cognitive impairments.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Kayla BohlkeDepartment of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA 15260, USA.ORCID 0000-0002-8439-9383
Xiaonan ZhuDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Patrick J SpartoDepartment of Physical Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Mark S RedfernDepartment of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA 15260, USA.ORCID 0000-0003-0097-4641
Caterina RosanoDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Ervin SejdicThe Edward S. Rogers Department of Electrical and Computer Engineering, Faculty of Applied Science and Engineering, University of Toronto, Toronto, ON M5S 1A1, Canada.
Andrea L RossoDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15260, USA.
University of Pittsburgh · USUniversity of Toronto · CA

Funding

Mild Cognitive Impairment: A Prospective Community StudyR01AG023651 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GANGULI, MARY · 2005 to 2020
$27.1M
Roles of Gray Matter Brain Aging and Small Vessel Disease in AD PathophysiologyRF1AG025516 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AIZENSTEIN, HOWARD J, VILLEMAGNE, VICTOR LUIS · 2014 to 2021
$9.0M
Neurobiological drivers of mobility resilience: the dopaminergic systemU01AG061393 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BOHNEN, NICOLAAS IDA, ROSANO, CATERINA · 2018 to 2022
$6.2M
Environmental Challenges and the Aging Brain: Implications for Community MobilityK01AG053431 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROSSO, ANDREA L · 2016 to 2020
$509k
NIA NIH HHS K01 AG053431NIA NIH HHS K01AG053431NIA NIH HHS R01AG023651NIA NIH HHS RF1 AG025516NIA NIH HHS RF1AG025516NIA NIH HHS U01AG061393Pittsburgh Claude D. Pepper Older Americans Independence Center NIA P30 AG024827
6 · The paper itself

Abstract

Dual-task balance studies explore interference between balance and cognitive tasks. This study is a descriptive analysis of accelerometry balance metrics to determine if a verbal cognitive task influences postural control after the task ends. Fifty-two healthy older adults (75 ± 6 years old, 30 female) performed standing balance and cognitive dual-tasks. An accelerometer recorded movement from before, during, and after the task (reciting every other letter of the alphabet). Thirty-six balance metrics were calculated for each task condition. The effect of the cognitive task on postural control was determined by a generalized linear model. Twelve variables, including anterior-posterior centroid frequency, peak frequency and entropy rate, medial-later entropy rate and wavelet entropy, and bandwidth in all directions, exhibited significant differences between baseline and cognitive task periods, but not between baseline and post-task periods. These results indicate that the verbal cognitive task did alter balance, but did not bring about persistent effects after the task had ended. Traditional balance measurements, i.e., root mean square and normalized path length, notably lacked significance, highlighting the potential to use other accelerometer metrics for the early detection of balance problems. These novel insights into the temporal dynamics of dual-task balance support current dual-task paradigms to reduce fall risk in older adults.

Indexed as

MovementPostural BalanceAccelerometryAgedAged, 80 and overCognitionEntropyFemaleHumansaccelerometrybalancedual-taskolder adultsposture

Identifiers

PMID34960520
PMCPMC8704561
OpenAlexW4200532863

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.