Evidence map›Paper›PMID 31040655›Full record

ArticleClinical interventions in aging2019

The association between cognition and dual-tasking among older adults: the effect of motor function type and cognition task difficulty.

Hossein Ehsani, Martha Jane Mohler, Kathy O'Connor, Edward Zamrini, Coco Tirambulo, Nima Toosizadeh

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
5.1field-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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 64 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Combining Cognitive and Sensorimotor Assessments to Facilitate Detection of Age-Related Cognitive Decline.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026
    Article
  9. Review
  10. Review
  11. Article
  12. Differences in brain function entropy due to cognitive impairment: Application of functional near infrared spectroscopy measures during dual-tasking.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

6 authors at 3 institutions in 1 country.

Hossein EhsaniDepartment of Biomedical Engineering, University of Arizona, Tucson, AZ, USA, hehsani@aging.arizona.edu.
Martha Jane MohlerDepartment of Biomedical Engineering, University of Arizona, Tucson, AZ, USA, hehsani@aging.arizona.edu.
Kathy O'ConnorNeurology Department, Banner Sun Health Research Institute, Sun City, AZ, USA.
Edward ZamriniNeurology Department, Banner Sun Health Research Institute, Sun City, AZ, USA.
Coco TirambuloArizona Center on Aging, Department of Medicine, University of Arizona, Tucson, AZ, USA, hehsani@aging.arizona.edu.
Nima ToosizadehDepartment of Biomedical Engineering, University of Arizona, Tucson, AZ, USA, hehsani@aging.arizona.edu.
University of Arizona · USBanner Sun Health Research Institute · USUniversity of Utah · US

Funding

MCI and Alzheimer's Disease Screening using Upper-extremity Dual-taskR21AG055852 · NIA · UNIVERSITY OF ARIZONA · PI MOHLER, MARTHA JANE, TOOSIZADEH, NIMA · 2017 to 2018
$431k
NIA NIH HHS R21 AG055852
6 · The paper itself

Abstract

backgroundDual-task actions challenge cognitive processing. The usefulness of objective methods based on dual-task actions to identify the cognitive status of older adults has been previously demonstrated. However, the properties of select motor and cognitive tasks are still debatable. We investigated the effect of cognitive task difficulty and motor task type (walking versus an upper-extremity function [UEF]) in identifying cognitive impairment in older adults.

methodsOlder adults (≥65 years) were recruited, and cognitive ability was measured using the Montreal Cognitive Assessment (MoCA). Participants performed repetitive elbow flexion under three conditions: 1) at maximum pace alone (Single-task); and 2) while counting backward by ones (Dual-task 1); and 3) threes (Dual-task 2). Similar single- and dual-task gait were performed at normal speed. Three-dimensional kinematics were measured for both motor functions using wearable sensors.

resultsOne-hundred older adults participated in this study. Based on MoCA score <20, 21 (21%) of the participants were considered cognitively impaired (mean age =86±10 and 85±5 for cognitively impaired and intact participants, respectively). Within ANOVA models adjusted with demographic information, UEF dual-task parameters, including speed and range-of-motion variability were significantly higher by 52% on average, among cognitively impaired participant (

conclusionThis study demonstrated that counting backward by threes within a UEF dual-task experiment was a pertinent and challenging enough task to detect cognitive impairment in older adults. Additionally, UEF was superior to gait as the motor task component of the dual-task. The UEF dual-task could be applied as a quick memory screen in a clinical setting.

Indexed as

CognitionCognitive DysfunctionMotor SkillsAgedAged, 80 and overCognitive AgingFemaleGaitHumansMaleMental Status and Dementia TestsTask Performance and AnalysisAlzheimer’s diseasebiomechanicsgaitMCIupper-extremity functionwearable motion sensor

Identifiers

PMID31040655
PMCPMC6459153
OpenAlexW2927823757

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.