Objectives:The aim of this study was to compare the measured physiological factors that limit running performance with real marathon results from world-class distance runners,evaluating the compatibility between measu...Objectives:The aim of this study was to compare the measured physiological factors that limit running performance with real marathon results from world-class distance runners,evaluating the compatibility between measured data and predicted results based on the previously suggested model.Methods:Four world-class East African marathon runners(three male,one female)underwent physiological running assessments to predict marathon performance times using a model based on˙V O_(2)peak,percentage of˙V O_(2)peak at the second ventilatory threshold,and running economy.Predictions were then compared to participants’best marathon times.Results:The measured˙V O_(2)peak of the world-class runners was 75.1±2.7 mL/kg/min.The second ventilatory threshold occurred at 85±3%of the peak,with a running economy of 63.7±2.4 mL/kg/min at 19.6±0.9 km/h.The predicted marathon performance time was 2:06:51±0:03:17 h:min:s for the males and 2:17:36 h:min:s for the female.Comparing these predictions to their personal best times,the average difference was 00:55±00:51 min:s(range:00:20-02:08).Conclusions:This research provides laboratory data on world-class road running athletes,reinforcing the link between marathon performance and˙V O_(2)peak,the percentage of˙VO_(2)peak at the second ventilatory threshold,and running economy.The examined athletes had lower˙V O_(2)peak compared to predicted values,highlighting the importance of running economy and fractional utilization of˙V O_(2)peak in achieving such performances.Future studies should continue to advance the field by including additional bioenergetic parameters measured during race conditions and expanding the participant cohort of elite marathoners,encompassing both sexes.展开更多
Background Ageing,immobilization,sepsis or cachexia reduce muscle mass and function.The age-related loss,i.e.sarcopenia,contributes to frailty and results in a loss of mobility and autonomy in aging and disease.Affect...Background Ageing,immobilization,sepsis or cachexia reduce muscle mass and function.The age-related loss,i.e.sarcopenia,contributes to frailty and results in a loss of mobility and autonomy in aging and disease.Affected individuals are often socially isolated,have a greater risk of metabolic disorders and psychosomatic problems.As a result,quality of life and life expectancy are affected.Immobilization and lack of adequate stimuli to the skeletal muscle seem to play a central part in these problems.To overcome them,resistance training(i.e.,weightlifting)is an effective intervention.Statement of the problem Despite the efficacy of resistance training for increasing muscle mass and function,this treatment is underused in clinical practice.We argue that this is due to a lack of a generally applicable methodology.Methods and framework To address this and related problems,we have formed the Network of Expertise for Immobilization-induced Muscle Disorders(KNIMS)to develop a potential algorithm for treating sarcopenia and other immobilization-related muscle disorders.An important aspect of the proposed method is that it is defined as a formal algorithm that consists of two stages.Stage A aims to recover bed-ridden patients’ability to stand by applying vibration-tilt table technology.Stage B aims at rehabilitating compromised gait,using a combination of squats,lunges and single leg raises.It is anticipated that this algorithm-based approach will enhance the ability for standardization and documentation,whilst reducing resource efforts at the same time,which will be equally useful to clinical practice and to clinical research.展开更多
基金supported by adidas AG.MJ was not compensated for his contribution to this work.
文摘Objectives:The aim of this study was to compare the measured physiological factors that limit running performance with real marathon results from world-class distance runners,evaluating the compatibility between measured data and predicted results based on the previously suggested model.Methods:Four world-class East African marathon runners(three male,one female)underwent physiological running assessments to predict marathon performance times using a model based on˙V O_(2)peak,percentage of˙V O_(2)peak at the second ventilatory threshold,and running economy.Predictions were then compared to participants’best marathon times.Results:The measured˙V O_(2)peak of the world-class runners was 75.1±2.7 mL/kg/min.The second ventilatory threshold occurred at 85±3%of the peak,with a running economy of 63.7±2.4 mL/kg/min at 19.6±0.9 km/h.The predicted marathon performance time was 2:06:51±0:03:17 h:min:s for the males and 2:17:36 h:min:s for the female.Comparing these predictions to their personal best times,the average difference was 00:55±00:51 min:s(range:00:20-02:08).Conclusions:This research provides laboratory data on world-class road running athletes,reinforcing the link between marathon performance and˙V O_(2)peak,the percentage of˙VO_(2)peak at the second ventilatory threshold,and running economy.The examined athletes had lower˙V O_(2)peak compared to predicted values,highlighting the importance of running economy and fractional utilization of˙V O_(2)peak in achieving such performances.Future studies should continue to advance the field by including additional bioenergetic parameters measured during race conditions and expanding the participant cohort of elite marathoners,encompassing both sexes.
文摘Background Ageing,immobilization,sepsis or cachexia reduce muscle mass and function.The age-related loss,i.e.sarcopenia,contributes to frailty and results in a loss of mobility and autonomy in aging and disease.Affected individuals are often socially isolated,have a greater risk of metabolic disorders and psychosomatic problems.As a result,quality of life and life expectancy are affected.Immobilization and lack of adequate stimuli to the skeletal muscle seem to play a central part in these problems.To overcome them,resistance training(i.e.,weightlifting)is an effective intervention.Statement of the problem Despite the efficacy of resistance training for increasing muscle mass and function,this treatment is underused in clinical practice.We argue that this is due to a lack of a generally applicable methodology.Methods and framework To address this and related problems,we have formed the Network of Expertise for Immobilization-induced Muscle Disorders(KNIMS)to develop a potential algorithm for treating sarcopenia and other immobilization-related muscle disorders.An important aspect of the proposed method is that it is defined as a formal algorithm that consists of two stages.Stage A aims to recover bed-ridden patients’ability to stand by applying vibration-tilt table technology.Stage B aims at rehabilitating compromised gait,using a combination of squats,lunges and single leg raises.It is anticipated that this algorithm-based approach will enhance the ability for standardization and documentation,whilst reducing resource efforts at the same time,which will be equally useful to clinical practice and to clinical research.
