Frontiers in sports and active living · 2025
Reference biomechanical parameters and natural asymmetry among runners across the age spectrum without a history of running-related injuries.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Vincent Heather K, Popp Reed, Cicilioni Orlando, Vincent Kevin R, Pezzullo Lydia, Martenson Matthew, Nixon Ryan M
Аннотация
INTRODUCTION: Running biomechanics and expected mechanical asymmetries with no history of running-related injuries, and (2) determine whether age influenced gait parameter asymmetry.
METHODS: This cross-sectional study included 250 runners were used to test age effects on biomechanical variables and asymmetry outcomes. Effect sizes of age brackets were determined for runner characteristics and biomechanical variables.
RESULTS: Runners aged 55 years had the slowest velocity and 1.7%-4% slower occurred in ankle flexion moments, ankle and knee frontal excursions, and peak VALR (range, 12.1%-33.8% different between right and left limbs).
DISCUSSION: Given that we did not find consistent effects. These data can help inform reference ranges of normative biomechanical metrics and guide clinicians in gait retraining and performance targets across the age spectrum.
METHODS: This cross-sectional study included 250 runners were used to test age effects on biomechanical variables and asymmetry outcomes. Effect sizes of age brackets were determined for runner characteristics and biomechanical variables.
RESULTS: Runners aged 55 years had the slowest velocity and 1.7%-4% slower occurred in ankle flexion moments, ankle and knee frontal excursions, and peak VALR (range, 12.1%-33.8% different between right and left limbs).
DISCUSSION: Given that we did not find consistent effects. These data can help inform reference ranges of normative biomechanical metrics and guide clinicians in gait retraining and performance targets across the age spectrum.