OBJECTIVES: To define clinically relevant cutpoints for usual gait speed and to investigate their predictive value for health-related events in older persons. DESIGN: Prospective cohort study. SETTING: Health, Aging and Body Composition Study. PARTICIPANTS: Three thousand forty-seven well-functioning older persons (mean age 74.2). MEASUREMENTS: Usual gait speed on a 6-m course was assessed at baseline. Participants were randomly divided into two groups to identify (Sample A; n=2,031) and then validate (Sample B; n=1,016) usual gait-speed cutpoints. Rates of persistent lower extremity limitation events (mean follow-up 4.9 years) were calculated according to gait speed in Sample A. A cutpoint (defining high- (< 1 m/s) and low risk (> or = 1 m/s) groups) was identified based on persistent lower extremity limitation events. The predictive value of the identified cutpoints for major health-related events (persistent severe lower extremity limitation, death, and hospitalization) was evaluated in Sample B using Cox regression analyses. RESULTS: A graded response was seen between risk groups and health-related outcomes. Participants in the high-risk group had a higher risk of persistent lower extremity limitation (rate ratio (RR)=2.20, 95% confidence interval (CI)=1.76-2.74), persistent severe lower extremity limitation (RR=2.29, 95% CI=1.63-3.20), death (RR=1.64, 95% CI=1.14-2.37), and hospitalization (RR=1.48, 95% CI=1.02-2.13) than those in the low-risk group. CONCLUSION: Usual gait speed of less than 1 m/s identifies persons at high risk of health-related outcomes in well-functioning older people. Provision of a clinically meaningful cutpoint for usual gait speed may facilitate its use in clinical and research settings.
RCT Entities:
OBJECTIVES: To define clinically relevant cutpoints for usual gait speed and to investigate their predictive value for health-related events in older persons. DESIGN: Prospective cohort study. SETTING: Health, Aging and Body Composition Study. PARTICIPANTS: Three thousand forty-seven well-functioning older persons (mean age 74.2). MEASUREMENTS: Usual gait speed on a 6-m course was assessed at baseline. Participants were randomly divided into two groups to identify (Sample A; n=2,031) and then validate (Sample B; n=1,016) usual gait-speed cutpoints. Rates of persistent lower extremity limitation events (mean follow-up 4.9 years) were calculated according to gait speed in Sample A. A cutpoint (defining high- (< 1 m/s) and low risk (> or = 1 m/s) groups) was identified based on persistent lower extremity limitation events. The predictive value of the identified cutpoints for major health-related events (persistent severe lower extremity limitation, death, and hospitalization) was evaluated in Sample B using Cox regression analyses. RESULTS: A graded response was seen between risk groups and health-related outcomes. Participants in the high-risk group had a higher risk of persistent lower extremity limitation (rate ratio (RR)=2.20, 95% confidence interval (CI)=1.76-2.74), persistent severe lower extremity limitation (RR=2.29, 95% CI=1.63-3.20), death (RR=1.64, 95% CI=1.14-2.37), and hospitalization (RR=1.48, 95% CI=1.02-2.13) than those in the low-risk group. CONCLUSION: Usual gait speed of less than 1 m/s identifies persons at high risk of health-related outcomes in well-functioning older people. Provision of a clinically meaningful cutpoint for usual gait speed may facilitate its use in clinical and research settings.
Authors: Danit R Shahar; Denise K Houston; Trisha F Hue; Jung-Sun Lee; Nadine R Sahyoun; Frances A Tylavsky; Diklah Geva; Hillel Vardi; Tamara B Harris Journal: J Am Geriatr Soc Date: 2012-10-04 Impact factor: 5.562
Authors: Woei-Nan Bair; Michael Petr; Irene Alfaras; Sarah J Mitchell; Michel Bernier; Luigi Ferrucci; Stephanie A Studenski; Rafael De Cabo Journal: J Gerontol A Biol Sci Med Sci Date: 2019-08-16 Impact factor: 6.053
Authors: S A M Fenton; T Neogi; D Dunlop; M Nevitt; M Doherty; J L Duda; R Klocke; A Abhishek; A Rushton; W Zhang; C E Lewis; J Torner; G Kitas; D K White Journal: Osteoarthritis Cartilage Date: 2018-05-02 Impact factor: 6.576
Authors: Jennifer S Brach; Jessie M Van Swearingen; Subashan Perera; David M Wert; Stephanie Studenski Journal: J Am Geriatr Soc Date: 2013-10-28 Impact factor: 5.562