Evidence map›Paper›PMID 36993462›Full record

ArticlebioRxiv : the preprint server for biology2023

Uneven terrain versus dual-task walking: differential challenges imposed on walking behavior in older adults are predicted by cognitive and sensorimotor function.

Valay A Shah, Yenisel Cruz-Almeida, Arkaprava Roy, Erta Cenko, Ryan J Downey, Daniel P Ferris, Chris J Hass, Patricia A Reuter-Lorenz, David J Clark, Todd M Manini and 1 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Valay A ShahDept. of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA.
Yenisel Cruz-AlmeidaPain Research and Intervention Center of Excellence (PRICE), University of Florida, Gainesville, FL, USA.
Arkaprava RoyDept. of Biostatistics, University of Florida, Gainesville, FL, USA.
Erta CenkoDept. of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
Ryan J DowneyDept. of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
Daniel P FerrisDept. of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
Chris J HassDept. of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA.
Patricia A Reuter-LorenzDept. of Psychology, University of Michigan, Ann Arbor, MI, USA.
David J ClarkDept of Physiology and Aging, University of Florida, Gainesville, FL, USA.
Todd M ManiniDept. of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
Rachael D SeidlerDept. of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA.
University of Florida · USUniversity of Florida Health · USUniversity of Michigan · US

Funding

University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI Peihua Qiu · 2007 to 2026
$22.8M
Multimodal imaging of brain activity to investigate walking and mobility decline in older adultsU01AG061389 · NIA · UNIVERSITY OF FLORIDA · PI CLARK, DAVID J, MANINI, TODD · 2018 to 2023
$5.8M
Translational Research Training on Aging and Mobility (TRAM)T32AG062728 · NIA · UNIVERSITY OF FLORIDA · PI Todd Manini · 2020 to 2026
$2.0M
NIA NIH HHS P30 AG028740NIA NIH HHS T32 AG062728NIA NIH HHS U01 AG061389
6 · The paper itself

Abstract

Aging is associated with declines in walking function. To understand these mobility declines, many studies have obtained measurements while participants walk on flat surfaces in laboratory settings during concurrent cognitive task performance (dual-tasking). This may not adequately capture the real-world challenges of walking at home and around the community. Here, we hypothesized that uneven terrains in the walking path impose differential changes to walking speed compared to dual-task walking. We also hypothesized that changes in walking speed resulting from uneven terrains will be better predicted by sensorimotor function than cognitive function. Sixty-three community-dwelling older adults (65-93 yrs old) performed overground walking under varying walking conditions. Older adults were classified into two mobility function groups based on scores of the Short Physical Performance Battery. They performed uneven terrain walking across four surface conditions (Flat, Low, Medium, and High unevenness) and performed single and verbal dual-task walking on flat ground. Participants also underwent a battery of cognitive (cognitive flexibility, working memory, inhibition) and sensorimotor testing (grip strength, 2-pt discrimination, pressure pain threshold). Our results showed that walking speed decreased during both dual-task walking and across uneven terrain walking conditions compared to walking on flat terrain. Participants with lower mobility function had even greater decreases in uneven terrain walking speeds. The change in uneven terrain speed was associated with attention and inhibitory function. Changes in both dual-task and uneven terrain walking speeds were associated with 2-point tactile discrimination. This study further documents associations between mobility, executive functions, and somatosensation, highlights the differential costs to walking imposed by uneven terrains, and identifies that older adults with lower mobility function are more likely to experience these changes to walking function.

Indexed as

Agingdual-taskinguneven terrainswalking

Identifiers

PMID36993462
PMCPMC10054936
OpenAlexW4324344108

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.