Linking Motor and Cognitive Decline in Aging: Gait Variability and Working Memory as Early Markers of Frailty

<b>Background/Objectives:</b> Frailty is an age-related clinical syndrome characterized by diminished physiological reserves and increased vulnerability to adverse outcomes. Growing evidence suggests that frailty involves shared brain networks that regulate both gait and cognitive functions. This study aimed to examine the relationship between frailty status, spatiotemporal gait parameters, and cognitive functions in community-dwelling older adults. <b>Methods:</b> A cross-sectional study was conducted with 99 adults aged ≥70 years, classified as non-frail, prefrail, or frail according to the Fried phenotype. Gait parameters were measured under usual and fast walking conditions using the OptoGait<sup>®</sup> photoelectric system. Cognitive status was assessed with the Montreal Cognitive Assessment (MoCA) and a comprehensive neuropsychological battery. Multivariate logistic regression analyses were performed to identify factors associated with transitions between frailty stages. <b>Results:</b> The prevalence of frailty was 9.1%, with 51.5% prefrail and 39.4% non-frail. The transition from non-frail to prefrail was associated with shorter stride length at fast pace (OR = 0.92, 95% CI: 0.88-0.96), mild cognitive impairment (OR = 3.71, 95% CI: 1.08-12.69), depressive symptoms (OR = 1.82, 95% CI: 1.26-2.62), and female sex (OR = 4.94, 95% CI: 1.20-16.77). The transition from prefrail to frail was linked to increased stride time variability at fast pace (OR = 2.94, 95% CI: 1.34-6.44) and poorer working memory (OR = 0.40, 95% CI: 0.16-0.97)<b>. Conclusions:</b> Shorter stride length, mild cognitive impairment, and depressive symptoms emerged as key markers of the transition from non-frailty to prefrailty, whereas increased stride time variability and poorer working memory distinguished prefrail from frail individuals. These findings highlight gait- and executive-function-related markers as sensitive early indicators of vulnerability. Incorporating quantitative gait assessment and brief cognitive screening into routine geriatric evaluations may substantially enhance early detection and support targeted preventive strategies for healthy aging.

Authors

Institutions

Publication Details

Journal
Healthcare
Published
2025-12-07
DOI
https://doi.org/10.3390/healthcare13243201
Citations
1
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
4.76
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Linking Motor and Cognitive Decline in Aging: Gait Variability and Working Memory as Early Markers of Frailty

Luis E. Roche-Seruendo, Juan Francisco Velarde‐García, María Nieves Moro‐Tejedor, Ma Jesús Santamaria-Martín et al.
1 citations
Healthcare
Balance, Gait, and Falls Prevention
4.76
article

Linking Motor and Cognitive Decline in Aging: Gait Variability and Working Memory as Early Markers of Frailty

Luis E. Roche-Seruendo, Juan Francisco Velarde‐García, María Nieves Moro‐Tejedor, Ma Jesús Santamaria-Martín, Elisa Valeriano-Paños, Susana Vega-Albala, María Valeriano-Paños
article en
1 citations

Abstract

<b>Background/Objectives:</b> Frailty is an age-related clinical syndrome characterized by diminished physiological reserves and increased vulnerability to adverse outcomes. Growing evidence suggests that frailty involves shared brain networks that regulate both gait and cognitive functions. This study aimed to examine the relationship between frailty status, spatiotemporal gait parameters, and cognitive functions in community-dwelling older adults. <b>Methods:</b> A cross-sectional study was conducted with 99 adults aged ≥70 years, classified as non-frail, prefrail, or frail according to the Fried phenotype. Gait parameters were measured under usual and fast walking conditions using the OptoGait<sup>®</sup> photoelectric system. Cognitive status was assessed with the Montreal Cognitive Assessment (MoCA) and a comprehensive neuropsychological battery. Multivariate logistic regression analyses were performed to identify factors associated with transitions between frailty stages. <b>Results:</b> The prevalence of frailty was 9.1%, with 51.5% prefrail and 39.4% non-frail. The transition from non-frail to prefrail was associated with shorter stride length at fast pace (OR = 0.92, 95% CI: 0.88-0.96), mild cognitive impairment (OR = 3.71, 95% CI: 1.08-12.69), depressive symptoms (OR = 1.82, 95% CI: 1.26-2.62), and female sex (OR = 4.94, 95% CI: 1.20-16.77). The transition from prefrail to frail was linked to increased stride time variability at fast pace (OR = 2.94, 95% CI: 1.34-6.44) and poorer working memory (OR = 0.40, 95% CI: 0.16-0.97)<b>. Conclusions:</b> Shorter stride length, mild cognitive impairment, and depressive symptoms emerged as key markers of the transition from non-frailty to prefrailty, whereas increased stride time variability and poorer working memory distinguished prefrail from frail individuals. These findings highlight gait- and executive-function-related markers as sensitive early indicators of vulnerability. Incorporating quantitative gait assessment and brief cognitive screening into routine geriatric evaluations may substantially enhance early detection and support targeted preventive strategies for healthy aging.

HealthcareVol. 13(24)
Universidad Complutense de Madrid (ES), Universitat de València (ES), Universidad Rey Juan Carlos (ES), Hospital General Universitario Gregorio Marañón (ES), Universidad San Jorge (ES), Madrid Health Service (ES), Universidad Autónoma de Madrid (ES)
Openalex Percentile: Top 5%
Balance, Gait, and Falls Prevention
4.76
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.