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Full-Text Articles in Physiology
Validation Of Maximal Heart Rate Prediction Equations Based On Sex And Physical Activity Status, Stephen J. Roy, J.L. Mccrory
Validation Of Maximal Heart Rate Prediction Equations Based On Sex And Physical Activity Status, Stephen J. Roy, J.L. Mccrory
International Journal of Exercise Science
International Journal of Exercise Science 8(4): 318-330, 2015. The purpose of the study was to determine if measured maximal heart rate (HRmax) was affected by sex or aerobic training status, and to determine the accuracy of three common clinical age-prediction maximal heart rate regression equations used to predict HRmax: HRmax = 220 – age, HRmax = 226 – age, and HRmax = 208 – (0.7 ∙ age). Fifty-two participants in total, 30 of which were in the active group (15 M, 15 F) and 22 subjects in the sedentary group (9 M, …
Validation Of A 5k Age And Weight Run Handicap Model, Paul M. Vanderburgh, Lloyd L. Laubach
Validation Of A 5k Age And Weight Run Handicap Model, Paul M. Vanderburgh, Lloyd L. Laubach
Paul M. Vanderburgh
Though increasing age and body weight (BW) have been widely known to be associated with slower distance run times, the common convention in 5K road races is to categorize competitors by age and, sometimes, BW. This has the disadvantage of assigning only small numbers of competitors to age categories and giving advantage to runners close to the minimum age or BW values allowable. Using recent advances in the modeling of distance run performance by BW combined with empirical evidence quantifying the independent effect of age on cardiovascular endurance, we previously published the derivation of the 5K Handicap (5KH), an age …
Visceral Fat Prediction Models According To Age And Gender, Serena Chang
Visceral Fat Prediction Models According To Age And Gender, Serena Chang
International Journal of Exercise Science: Conference Proceedings
Obesity is the leading risk factor for metabolic syndrome and puts individuals at an increased risk for cardiovascular disease and diabetes.Past studies have shown that visceral adipose tissue (VAT), rather than subcutaneous fat (SF), is a major predictor of these disorders.VAT is the fatty tissue surrounding the vital organs, while SF is the fat found directly beneath the skin. SF’s primary function is to provide energy storage while VAT cells are metabolically active and have been linked to increased insulin resistance, production of triglycerides and low density lipolipids, which contribute to a higher risk of health diseases.Due to lack of …