BACKGROUND: Current theory about how an older adult's leg strength influences walking speed is based primarily on nonlinear patterns of association observed in cross-sectional data. Compared with adults with normal or high levels of leg muscle strength, weak older adults are thought to have a greater capacity for functional change in response to changes in lower extremity strength. Longitudinal data, however, have not been applied to study this putative pattern of dose response. METHODS: Three repeated measures of leg strength, gait speed, and covariates were evaluated in a cohort of 134 sedentary, community-dwelling male and female participants (aged >64 years) of arandomized exercise intervention. Empirical Bayes methods were used to evaluate the association between trajectories of strength and gait speed during the course of the study. RESULTS: We observed a potentially clinically important, positive linear association between strength change and gait speed change. Each additional unit increase in the monthly rate of strength change increased the rate of gait speed change by 0.29 meters/minute/month (95% CI [confidence interval] = 0.03, 0.55 m/min/mo). Absolute change in walking velocity due to strength changes in the cohort ranged from a gain of approximately 15 m/min to a loss of approximately 13 m/min over the 9-month period (changes of -18% to +20% relative to a normal walking speed of 72 m/min). CONCLUSIONS: In this cohort, change in functional walking speed depended more on the rate of strength change observed than on the amount of muscle weakness present at baseline. These results have important implications for screening and intervention programs designed to change functional walking ability among sedentary older adults.
RCT Entities:
BACKGROUND: Current theory about how an older adult's leg strength influences walking speed is based primarily on nonlinear patterns of association observed in cross-sectional data. Compared with adults with normal or high levels of leg muscle strength, weak older adults are thought to have a greater capacity for functional change in response to changes in lower extremity strength. Longitudinal data, however, have not been applied to study this putative pattern of dose response. METHODS: Three repeated measures of leg strength, gait speed, and covariates were evaluated in a cohort of 134 sedentary, community-dwelling male and female participants (aged >64 years) of a randomized exercise intervention. Empirical Bayes methods were used to evaluate the association between trajectories of strength and gait speed during the course of the study. RESULTS: We observed a potentially clinically important, positive linear association between strength change and gait speed change. Each additional unit increase in the monthly rate of strength change increased the rate of gait speed change by 0.29 meters/minute/month (95% CI [confidence interval] = 0.03, 0.55 m/min/mo). Absolute change in walking velocity due to strength changes in the cohort ranged from a gain of approximately 15 m/min to a loss of approximately 13 m/min over the 9-month period (changes of -18% to +20% relative to a normal walking speed of 72 m/min). CONCLUSIONS: In this cohort, change in functional walking speed depended more on the rate of strength change observed than on the amount of muscle weakness present at baseline. These results have important implications for screening and intervention programs designed to change functional walking ability among sedentary older adults.
Authors: Maren S Fragala; Dawn E Alley; Michelle D Shardell; Tamara B Harris; Robert R McLean; Douglas P Kiel; Peggy M Cawthon; Thuy-Tien L Dam; Luigi Ferrucci; Jack M Guralnik; Stephen B Kritchevsky; Maria T Vassileva; Vilmunder Gudnason; Gudny Eiriksdottir; Annemarie Koster; Anne Newman; Kristin Siggeirsdottir; Suzanne Satterfield; Stephanie A Studenski; Anne M Kenny Journal: J Am Geriatr Soc Date: 2016-01 Impact factor: 5.562
Authors: Anthony P James; Joanna Whiteford; Timothy R Ackland; Satvinder S Dhaliwal; Jenni J Woodhouse; Richard L Prince; Xingqiong Meng; Deborah A Kerr Journal: Eur J Appl Physiol Date: 2016-09-02 Impact factor: 3.078
Authors: Mini E Jacob; Thomas G Travison; Rachel E Ward; Nancy K Latham; Suzanne G Leveille; Alan M Jette; Jonathan F Bean Journal: J Gerontol A Biol Sci Med Sci Date: 2019-03-14 Impact factor: 6.053
Authors: Steve R Fisher; James E Graham; Kenneth J Ottenbacher; Rachel Deer; Glenn V Ostir Journal: Arch Phys Med Rehabil Date: 2016-06-02 Impact factor: 3.966
Authors: Agnieszka Wiśniowska-Szurlej; Agnieszka Ćwirlej-Sozańska; Natalia Wołoszyn; Bernard Sozański; Anna Wilmowska-Pietruszyńska Journal: Biomed Res Int Date: 2019-09-23 Impact factor: 3.411