Evidence map›Paper›PMID 38199138›Full record

ArticleComputer methods and programs in biomedicine2024

Fear of falling in community-dwelling older adults: What their gait acceleration pattern reveals.

Anisha Suri, Zachary L Hubbard, Jessie VanSwearingen, Gelsy Torres-Oviedo, Jennifer S Brach, Mark S Redfern, Ervin Sejdic, Andrea L Rosso

Open access · greenAbstract read
In one paragraph

Article in Computer methods and programs in biomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

7 citing papers in PubMed, 9 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

8 authors at 1 institution in 2 countries.

Anisha SuriDepartment of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Zachary L HubbardDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Jessie VanSwearingenDepartment of Physical Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Gelsy Torres-OviedoDepartment of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Jennifer S BrachDepartment of Physical Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Mark S RedfernDepartment of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Ervin SejdicDepartment of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA; Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada; North York General Hospital, Toronto, Ontario, Canada.
Andrea L RossoDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA. Electronic address: alr143@pitt.edu.
University of Pittsburgh · US

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Caterina Rosano · 2004 to 2026
$28.6M
Task Specific Timing and Coordination Exercises to Improve Mobility in Older AdultsR01AG045252 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BRACH, JENNIFER S · 2015 to 2019
$2.7M
Restoring Central Motor Control to Improve Community Mobility of Older AdultsR01AG057671 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROSSO, ANDREA L · 2018 to 2021
$2.5M
A computational approach for understanding locomotor learning post-strokeK01NS092785 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TORRES-OVIEDO, GELSY · 2016 to 2018
$673k
MIDCAREER INVESTIGATOR AWARD IN TRANSLATIONAL PATIENT-ORIENTED RESEARCH IN AGINGK24AG057728 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BRACH, JENNIFER S · 2018 to 2022
$658k
Human Factors of Aging ProgramK07AG061256 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REDFERN, MARK S · 2021 to 2025
$566k
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 K07 AG061256NIA NIH HHS K24 AG057728NIA NIH HHS P30 AG024827NIA NIH HHS R01 AG045252NIA NIH HHS R01 AG057671NINDS NIH HHS K01 NS092785
6 · The paper itself

Abstract

backgroundFear of Falling (FOF) is common among community-dwelling older adults and is associated with increased fall-risk, reduced activity, and gait modifications.

objectiveIn this cross-sectional study, we examined the relationships between FOF and gait quality.

methodsOlder adults (N=232; age 77±6; 65 % females) reported FOF by a single yes/no question. Gait quality was quantified as (1) harmonic ratio (smoothness) and other time-frequency spatiotemporal variables from triaxial accelerometry (Vertical-V, Mediolateral-ML, Anterior-Posterior -AP) during six-minute walk; (2) gait speed, step-time CoV (variability), and walk-ratio (step-length/cadence) on a 4-m instrumented walkway. Mann Whitney U-tests and Random forest classifier compared gait between those with and without FOF. Selected gait variables were used to build Support Vector Machine (SVM) classifier and performance was evaluated using AUC-ROC.

resultsIndividuals with FOF had slower gait speed (103.66 ± 17.09 vs. 110.07 ± 14.83 cm/s), greater step time CoV (4.17 ± 1.66 vs. 3.72 ± 1.24 %), smaller walk-ratio (0.53 ± 0.08 vs. 0.56 ± 0.07 cm/steps/minute), smaller standard deviation V (0.15 ± 0.06 vs. 0.18 ± 0.09 m/s

conclusionOlder adults with FOF have reduced gait speed, acceleration adaptability, walk-ratio, and smoothness. Disrupted gait patterns during fear of falling could provide insights into psychosocial distress in older adults. Longitudinal studies are warranted.

Indexed as

FearIndependent LivingAccelerationAgedAged, 80 and overCross-Sectional StudiesFemaleGaitHumansMaleActigraphyFear of fallingGaitMachine learningOlder adults

Identifiers

PMID38199138
PMCPMC11411449
OpenAlexW4390276845

What OpenQuestion holds

Textmetadata
LicenceTDM
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.