The number of people who run to achieve competitive performance has increased, encouraging the scientific community to analyze the association of factors that can affect a runner performance.
Is ...there association between running spatiotemporal and angular kinematics with the physiological markers of endurance performance during a cardiorespiratory exercise test?
This was an observational cross-sectional study with 40 distance runners simultaneously submitted to a running biomechanical analysis and cardiorespiratory exercise test on a treadmill. Mixed models were developed to verify the association between angular kinematic data obtained by the Movement Deviation Profile and the running spatiotemporal data with oxygen consumption and ventilatory thresholds.
Spatiotemporal variables .e., step frequency Odds Ratio 0.09 0.06–0.12 95 % Confidence Interval, center of mass vertical displacement Odds Ratio 0.10 0.07–0.14 95 % Confidence Interval, and step length Odds Ratio −0.01 -0.01 to −0.00 95 % Confidence Interval were associated with VO2. Also, step frequency Odds Ratio 1.03 1.01–1.05 95 % Confidence Interval was associated with the first ventilatory threshold, and angular running kinematics Movement Deviation Profile analysis Odds Ratio 1.47 1.13–1.91 95 % Confidence Interval was associated with peak of exercise during the cardiorespiratory exercise test.
Our findings demonstrated that: both higher step frequency and center of mass vertical displacement are associated with the increase of oxygen demand; step frequency is associated with the first ventilatory threshold, due to the entrainment mechanism and angular kinematic parameters are associated with peak aerobic speed. Future studies could also compare the biomechanical and physiological characteristics of different groups of distance runners. This could help identify the factors that contribute to oxygen demands during running and performance across different ages, genders, and levels of competition.
•Study examines running kinematics and endurance performance.•Spatiotemporal variables affect oxygen consumption and VT1.•Angular kinematics (MDP analysis) was associated with peak of exercise and speed.•Findings suggest ways to improve running economy and performance.
Abstract
Background
The World Health Organization considers falls the second leading cause of death by accidental injury worldwide and one of the most frequent complications in older adults during ...activities of daily living. Several tasks related to fall risk have been individually assessed describing kinematic changes in older adults. The study proposal was to identify which functional task differentiates faller and non-faller older adults using the movement deviation profile (MDP).
Methods
This cross-sectional study recruited 68 older adults aged ≥60 years by convenience sampling. Older adults were divided into 2 groups: with and without a history of falls (34 older adults in each group). The MDP analyzed the 3-dimensional angular kinematics data of tasks (ie, gait, walking turn, stair ascent and descent, sit-to-stand, and stand-to-sit), and the Z score of the mean MDP identified which task presented the greatest difference between fallers and non-fallers. A multivariate analysis with Bonferroni post hoc verified the interaction between groups considering angular kinematic data and the cycle time of the task. Statistical significance was set at 5% (p < .05).
Results
Z score of the MDPmean showed an interaction between groups (λ = 0.67, F = 5.085, p < .0001). Fallers differed significantly from non-fallers in all tasks and the greatest difference was in stair descent (Z score = 0.89). The time to complete each task was not different between groups.
Conclusions
The MDP distinguished older adult fallers from non-fallers. The stair descent task should be highlighted because it presented the greatest difference between groups.
