2020
DOI: 10.1016/j.humov.2020.102611
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Effects of age, speed, and step length on lower extremity net joint moments and powers during walking

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Cited by 25 publications
(15 citation statements)
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“…As age increases, mobility limitations, decreases in aerobic capacity, and biomechanical inefficiencies might restrict the possible number of steps per day older adults can accumulate. 35 , 36 The association between daily steps and all-cause mortality might start at lower step volumes for older adults because of lower absolute step volume for the same relative step intensity and physiological stimulus than for younger adults. Therefore, older adults might require a lower number of steps to gain similar improvements in health benefits.…”
Section: Discussionmentioning
confidence: 99%
“…As age increases, mobility limitations, decreases in aerobic capacity, and biomechanical inefficiencies might restrict the possible number of steps per day older adults can accumulate. 35 , 36 The association between daily steps and all-cause mortality might start at lower step volumes for older adults because of lower absolute step volume for the same relative step intensity and physiological stimulus than for younger adults. Therefore, older adults might require a lower number of steps to gain similar improvements in health benefits.…”
Section: Discussionmentioning
confidence: 99%
“…Height, age, fat mass, and lower extremity muscle strength have been suggested to affect individual gait performance and velocity [ 29 , 30 , 31 , 32 ]. However, the use of sEMG parameters to predict individual step length has not been previously attempted.…”
Section: Discussionmentioning
confidence: 99%
“…Finally, pain intensity was higher and gait speed was lower in the EDS group. Both pain and gait speed have been shown to impact gait metrics in other populations (Buddhadev et al, 2020;Henriksen et al, 2010), and thus these factors might account for differences in coordination variability between the EDS and healthy groups. A potential method to account for differences in pain and gait speed would be to include them as covariates in an analysis of covariance (ANCOVA).…”
Section: Discussionmentioning
confidence: 99%