Reactive agility and motor-cognitive assessments for distinguishing community-dwelling older adults with and without a history of falls: a dual-centre cross-sectional study

Although motor and cognitive functions are closely interconnected in daily life, they are typically assessed separately in fall assessments. This dual-center cross-sectional, observational study examined the discriminative performance of agility and motor-cognitive assessments to distinguish between community-dwelling older adults with and without a history of falls, compared with established motor and cognitive tests. A total of 231 participants (103 with a history of falls; age 71.9 ± 7.5 years) completed a SKILLCOURT test battery, including the Random Star Run (unplanned, reactive changes of direction; agility) and motor-cognitive stepping tasks involving reactive responses while standing to simple and choice reaction, task-switching, 2-back, and Stroop word-color stimuli. Motor tests included the Timed-Up-and-Go (TUG), Sit-to-Stand, and walking speed, each performed under both single- and dual-task conditions. Seated PC-based cognitive tests assessed reaction speed and executive functions corresponding to the SKILLCOURT tasks. Age- and study location-adjusted general linear models identified significant group effects after Holm adjustment for the Random Star Run (η 2 p = 0.04, p = .050) and the simple stepping reaction task (η 2 p = 0.03, p = .048), with faster completion and response times for participants without a history of falls, whereas established assessments showed no relevant group differences (η 2 p = 0.001–0.013, p > .05). Z-standardised adjusted logistic regression analyses revealed significant associations between Random Star Run performance and fall history (Odds Ratio; OR = 1.82 per 1 SD increase, p = .009), with longer completion times associated with higher odds of having a history of falls. The adjusted model yielded an AUC value of 0.73, with 70% sensitivity and 71% specificity, and showed significantly higher discriminative performance than the established functional mobility measure, the TUG (AUC = 0.63, p = .017). Similarly, the SKILLCOURT simple reaction task was associated with fall history (OR = 1.58, p = .009) and showed an AUC value of 0.72, with 63% sensitivity and 75% specificity, but did not demonstrate superior discriminative performance compared with the corresponding PC-based simple reaction test (AUC = 0.63, p > .05). These findings suggest that agility-based measures may provide additional value beyond conventional approaches for distinguishing older adults with and without a history of falls. Prospective studies are warranted to determine whether incorporating such measures can improve the prediction of future falls beyond established motor and cognitive assessments. Trial registration: DRKS00034524 (July 8, 2024).

Authors

Institutions

Publication Details

Journal
GeroScience
Published
2026-09-01
DOI
https://doi.org/10.1007/s11357-026-02477-4
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reactive agility and motor-cognitive assessments for distinguishing community-dwelling older adults with and without a history of falls: a dual-centre cross-sectional study

Winfried Banzer, Lutz Vogt, Martine Hoffmann, Florian Giesche et al.
GeroScience
Balance, Gait, and Falls Prevention
article

Reactive agility and motor-cognitive assessments for distinguishing community-dwelling older adults with and without a history of falls: a dual-centre cross-sectional study

Winfried Banzer, Lutz Vogt, Martine Hoffmann, Florian Giesche, David A. Groneberg, Isabelle Albert, Ahmed H. Abobakr, Thorben Hülsdünker
article en

Abstract

Although motor and cognitive functions are closely interconnected in daily life, they are typically assessed separately in fall assessments. This dual-center cross-sectional, observational study examined the discriminative performance of agility and motor-cognitive assessments to distinguish between community-dwelling older adults with and without a history of falls, compared with established motor and cognitive tests. A total of 231 participants (103 with a history of falls; age 71.9 ± 7.5 years) completed a SKILLCOURT test battery, including the Random Star Run (unplanned, reactive changes of direction; agility) and motor-cognitive stepping tasks involving reactive responses while standing to simple and choice reaction, task-switching, 2-back, and Stroop word-color stimuli. Motor tests included the Timed-Up-and-Go (TUG), Sit-to-Stand, and walking speed, each performed under both single- and dual-task conditions. Seated PC-based cognitive tests assessed reaction speed and executive functions corresponding to the SKILLCOURT tasks. Age- and study location-adjusted general linear models identified significant group effects after Holm adjustment for the Random Star Run (η 2 p = 0.04, p = .050) and the simple stepping reaction task (η 2 p = 0.03, p = .048), with faster completion and response times for participants without a history of falls, whereas established assessments showed no relevant group differences (η 2 p = 0.001–0.013, p > .05). Z-standardised adjusted logistic regression analyses revealed significant associations between Random Star Run performance and fall history (Odds Ratio; OR = 1.82 per 1 SD increase, p = .009), with longer completion times associated with higher odds of having a history of falls. The adjusted model yielded an AUC value of 0.73, with 70% sensitivity and 71% specificity, and showed significantly higher discriminative performance than the established functional mobility measure, the TUG (AUC = 0.63, p = .017). Similarly, the SKILLCOURT simple reaction task was associated with fall history (OR = 1.58, p = .009) and showed an AUC value of 0.72, with 63% sensitivity and 75% specificity, but did not demonstrate superior discriminative performance compared with the corresponding PC-based simple reaction test (AUC = 0.63, p > .05). These findings suggest that agility-based measures may provide additional value beyond conventional approaches for distinguishing older adults with and without a history of falls. Prospective studies are warranted to determine whether incorporating such measures can improve the prediction of future falls beyond established motor and cognitive assessments. Trial registration: DRKS00034524 (July 8, 2024).

GeroScience
Goethe University Frankfurt (DE), University of Luxembourg (LU), Luxembourg Institute of Health (LU), Kompetenzzentrum Gesundheit und Alter (CH), University Hospital Frankfurt (DE)
Reduced inequalities
Openalex Percentile: Top 5%
Balance, Gait, and Falls Prevention
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.