Andrea L Rosso1, Andrea L Metti1, Kimberly Faulkner1, Jennifer S Brach2, Stephanie A Studenski3, Mark Redfern4, Caterina Rosano1. 1. Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania. 2. Department of Physical Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania. 3. Division of Geriatric Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania. 4. Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania.
Abstract
BACKGROUND/ OBJECTIVES: To assess whether gait speed under complex conditions predicts long-term risk for mobility disability as well as or better than usual-pace gait speed. DESIGN: Longitudinal cohort study. SETTING/PARTICIPANTS: Subsample of Health Aging and Body Composition study with follow-up from 2002 to 2003 to 2010 to 2011, including 337 community-dwelling adults (mean age = 78.5 years, 50.7% female, 26.1% black). MEASUREMENTS: Associations of gait speed measured under usual-pace, fast-pace, dual-task, and narrow-path conditions with mobility disability, defined by any self-reported difficulty walking ¼ mile assessed annually, were tested by Cox proportional hazard models adjusted for demographic and health characteristics. Models were fitted for each walking condition, and R2 statistics were used to compare predictive value across models. Models were repeated for persistent mobility disability, defined as at least two consecutive years of mobility disability. RESULTS: Mobility disability occurred in 204 (60.5%) participants over the 8-year follow-up. There was a lower hazard of developing mobility disability with faster gait speed under all conditions. Hazard ratios, confidence intervals, and R2 of gait speed predicting mobility disability were similar across all four walking conditions (R2 range = 0.22-0.27), but were strongest for dual-task gait speed (hazard ratio [95% confidence interval], R2 of fully adjusted models = 0.81 [0.75-0.88], 0.27). Results were comparable for persistent mobility disability (R2 range = 0.26-0.28). CONCLUSION: Slower gait speed under both usual-pace and complex conditions may be a clinical indicator of future risk of mobility disability. These results support the call for increased use of gait speed measures in routine geriatric care. J Am Geriatr Soc 67:2072-2076, 2019.
BACKGROUND/ OBJECTIVES: To assess whether gait speed under complex conditions predicts long-term risk for mobility disability as well as or better than usual-pace gait speed. DESIGN: Longitudinal cohort study. SETTING/PARTICIPANTS: Subsample of Health Aging and Body Composition study with follow-up from 2002 to 2003 to 2010 to 2011, including 337 community-dwelling adults (mean age = 78.5 years, 50.7% female, 26.1% black). MEASUREMENTS: Associations of gait speed measured under usual-pace, fast-pace, dual-task, and narrow-path conditions with mobility disability, defined by any self-reported difficulty walking ¼ mile assessed annually, were tested by Cox proportional hazard models adjusted for demographic and health characteristics. Models were fitted for each walking condition, and R2 statistics were used to compare predictive value across models. Models were repeated for persistent mobility disability, defined as at least two consecutive years of mobility disability. RESULTS:Mobility disability occurred in 204 (60.5%) participants over the 8-year follow-up. There was a lower hazard of developing mobility disability with faster gait speed under all conditions. Hazard ratios, confidence intervals, and R2 of gait speed predicting mobility disability were similar across all four walking conditions (R2 range = 0.22-0.27), but were strongest for dual-task gait speed (hazard ratio [95% confidence interval], R2 of fully adjusted models = 0.81 [0.75-0.88], 0.27). Results were comparable for persistent mobility disability (R2 range = 0.26-0.28). CONCLUSION: Slower gait speed under both usual-pace and complex conditions may be a clinical indicator of future risk of mobility disability. These results support the call for increased use of gait speed measures in routine geriatric care. J Am Geriatr Soc 67:2072-2076, 2019.
Authors: A Williams Andrews; Susan A Chinworth; Michael Bourassa; Miranda Garvin; Dacia Benton; Scott Tanner Journal: J Geriatr Phys Ther Date: 2010 Jul-Sep Impact factor: 3.381
Authors: Jennifer S Brach; David Wert; Jessie M VanSwearingen; Anne B Newman; Stephanie A Studenski Journal: J Geriatr Phys Ther Date: 2012 Jul-Sep Impact factor: 3.381
Authors: Kimberly A Faulkner; Mark S Redfern; Jane A Cauley; Douglas P Landsittel; Stephanie A Studenski; Caterina Rosano; Eleanor M Simonsick; Tamara B Harris; Ronald I Shorr; Hilsa N Ayonayon; Anne B Newman Journal: J Am Geriatr Soc Date: 2007-04 Impact factor: 5.562
Authors: Thomas M Gill; Evelyne A Gahbauer; Terrence E Murphy; Ling Han; Heather G Allore Journal: Ann Intern Med Date: 2012-01-17 Impact factor: 25.391
Authors: Milan Chang; Jiska Cohen-Mansfield; Luigi Ferrucci; Suzanne Leveille; Stefano Volpato; Nathalie de Rekeneire; Jack M Guralnik Journal: J Am Geriatr Soc Date: 2004-12 Impact factor: 5.562
Authors: Nandini Deshpande; Jeffrey E Metter; Jack Guralnik; Stefania Bandinelli; Luigi Ferrucci Journal: Age Ageing Date: 2013-09-15 Impact factor: 10.668
Authors: G Abellan van Kan; Y Rolland; S Andrieu; J Bauer; O Beauchet; M Bonnefoy; M Cesari; L M Donini; S Gillette Guyonnet; M Inzitari; F Nourhashemi; G Onder; P Ritz; A Salva; M Visser; B Vellas Journal: J Nutr Health Aging Date: 2009-12 Impact factor: 4.075
Authors: Andrea L Rosso; Stephanie A Studenski; Wen G Chen; Howard J Aizenstein; Neil B Alexander; David A Bennett; Sandra E Black; Richard Camicioli; Michelle C Carlson; Luigi Ferrucci; Jack M Guralnik; Jeffrey M Hausdorff; Jeff Kaye; Lenore J Launer; Lewis A Lipsitz; Joe Verghese; Caterina Rosano Journal: J Gerontol A Biol Sci Med Sci Date: 2013-07-10 Impact factor: 6.053
Authors: Nuria Marín-Jiménez; Carolina Cruz-León; Alejandro Perez-Bey; Julio Conde-Caveda; Alberto Grao-Cruces; Virginia A Aparicio; José Castro-Piñero; Magdalena Cuenca-García Journal: J Clin Med Date: 2022-01-10 Impact factor: 4.241