Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/121606
Title: Quantifying gait and posture in geriatric inpatients using inertial sensors and posturography : a cross-sectional study
Author(s): Schwesig, RenéLook up in the Integrated Authority File of the German National Library
Strutz, Nicole JenniferLook up in the Integrated Authority File of the German National Library
Schönenberg, AlineLook up in the Integrated Authority File of the German National Library
Panian, Matti
Delank, Karl-StefanLook up in the Integrated Authority File of the German National Library
Laudner, Kevin G.
Prell, TinoLook up in the Integrated Authority File of the German National Library
Issue Date: 2025
Type: Article
Language: English
Abstract: Background/Objectives: Mobility screening is standard practice in hospitalized geriatric patients, but clinical assessments alone may not fully capture functional capacity and related risks. This study aimed to describe the physical performance (gait analysis, postural stability and regulation) and clinical–functional status (e.g., Tinetti [TIN], Barthel Index [BI]) in geriatric inpatients, and to explore associations between measures from different domains. Methods: Fifty-five geriatric inpatients (mean age: 84.3 ± 5.47 years, range: 71–97; 49% female) underwent spatiotemporal gait analysis (inertial sensor system/RehaGait) and posturography (Interactive Balance System). Clinical assessments included TIN, BI, Montreal Cognitive Assessment (MoCA), Geriatric Depression Scale (GDS), Clinical Frailty Scale (CFS), and Numeric Rating Scale (NRS). Gait and postural data were compared with age-, sex-, and height-adjusted reference values. Results: Clinical data indicated a low fall risk (TIN: 24), moderate functional independence (BI: 54), and moderate frailty (CFS: 5). Deviations from reference values were more frequent in gait parameters (18/50%) than in postural parameters (6/17%), with postural stability consistently reduced. The largest differences for the geriatric patients compared with the reference gait data were found for stride length, walking speed, double and single support, roll-off angle, and landing angle. TIN showed the strongest correlation with walking speed (r = 0.47, 95% CI: 0.22–0.67), a relationship unaffected by gender (partial r = 0.52). Conclusions: Gait assessment revealed greater performance deficits than postural measures in this cohort.
URI: https://opendata.uni-halle.de//handle/1981185920/123558
http://dx.doi.org/10.25673/121606
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: Diagnostics
Publisher: MDPI
Publisher Place: Basel
Volume: 15
Issue: 20
Original Publication: 10.3390/diagnostics15202578
Appears in Collections:Open Access Publikationen der MLU

Files in This Item:
File Description SizeFormat 
diagnostics-15-02578.pdf751.6 kBAdobe PDFThumbnail
View/Open