Importance of Regression Analysis in Sports Information Systems at Evaluation of Sports and Sports Associations

Miočić, Josip

doi:10.31031/rism.2019.05.000621

Cited by 1 publication

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“…In a second study, these analyses were extended to include comparisons of male and female Masters athletes in 19 Track and Field competitions, providing physical [18] and statistical evidence [19] that there are only very minor gender differences in the age-related performance decay between female and male Masters athletes. Since our initial conclusions, according to the criticisms of external evaluators, were based on a naïve statistical approach, we will here report the results of more robust statistics (i.e., weighted regression analysis) [20].…”

Section: Introductionmentioning

confidence: 99%

Lessons from Masters World Records: Lack of Gender Differences In Aging Muscle Decay Rates

Guidolin

Gava²,

Ravara

et al. 2020

RISM

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The physiology and physiopathology of muscle aging differ between female sand males. Here, our aim is to investigate gender differences in the rate of the age-related decay of skeletal muscle performance using a complete series of female and male normalized master's world records. Masters athletes compete in age groups of five-year divisions and range from 35 to 100 years of age. The world records are lists of up to 16 data points that, after normalization, can be interpolated with polynomial trend-lines with a high R2. Gender comparisons were performed for 19 Track and Field specialties using weighted regression analyses. As expected, the aging decline began at 35 years for both the women and men. Despite differences in the 19 Track and Field Masters world records for female and male athletes in the same age groups, in comparing the normalized female and male Masters athlete world records, the rates of aging performance decay were very similar if not identical. This lack of gender difference is a unique exception to the general rule of gender differences in sports activities, suggesting that neuro-hormonal mechanisms poorly influence the rate of aging muscle power decay. We then discuss the hypothesis that age-induced decline is related to fundamental cellular mechanisms, perhaps those that control energy metabolism. The limitations and implications of our hypothesis are discussed as well.

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Section: Introductionmentioning

confidence: 99%