Journal article
Screening accuracy of percentage predicted gait speed for prefrailty/frailty in community-dwelling older adults
Geriatrics & Gerontology International, Vol.22(8), pp.575-580
2022
PMID: 35716008
Abstract
Aim:
In order to account for the variability in gait speed due to demographic factors, an observed gait speed value can be compared with its predicted value based on age, sex, and body height (observed gait speed divided by predicted gait speed, termed “GS%predicted” henceforth). This study aimed to examine the screening accuracy of an optimal GS%predicted threshold for prefrailty/frailty.
Methods:
This cross-sectional study included 998 community-dwelling ambulant participants aged >50 years (mean age = 68 years). Participants completed a multi-domain geriatric screen and a physical fitness assessment, from which the 10-m habitual gait speed, GS%predicted, Physical Frailty Phenotype (PFP) index, and 36-item Frailty Index (FI) were computed.
Results:
Based on the FI, ~49% of participants had pre-frailty or frailty. The optimal threshold of GS%predicted (0.93) had greater screening accuracy than the 1.0 m/s fixed threshold for gait speed (AUC, 0.65 vs. 0.60; DeLong's P < 0.001). Replacing gait speed with GS%predicted in the PFP improved its overall discrimination (AUC, 0.70 vs. 0.67 of original PFP; DeLong's P < 0.001).
Conclusions:
Defining a “slow” gait speed by a GS%predicted value of <0.93 provided greater screening accuracy than the traditional 1.0 m/s threshold for gait speed. Our results also support the use of GS%predicted-derived PFP to identify older adults at risk of prefrailty/frailty.
Details
- Title
- Screening accuracy of percentage predicted gait speed for prefrailty/frailty in community-dwelling older adults
- Authors
- Yong-Hao Pua (Corresponding Author) - Singapore General HospitalLaura Tay (Author) - Sengkang General HospitalRoss Allan Clark (Author) - University of the Sunshine Coast, Queensland, School of Health and Behavioural Sciences - LegacyJulian Thumboo (Author) - Singapore General HospitalEe-Ling Tay (Author) - Sengkang General HospitalShi-Min Mah (Author) - Sengkang General HospitalYee-Sien Ng (Author) - Sengkang General Hospital
- Publication details
- Geriatrics & Gerontology International, Vol.22(8), pp.575-580
- Publisher
- John Wiley & Sons, Inc.
- Date published
- 2022
- DOI
- 10.1111/ggi.14418
- ISSN
- 1447-0594
- PMID
- 35716008
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Health and Behavioural Sciences - Legacy; School of Health - Public Health
- Language
- English
- Record Identifier
- 99649177602621
- Output Type
- Journal article
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- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Geriatrics & Gerontology
- Gerontology
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