{"title":"从心脏时间成分预测耐力表现和耗氧量","authors":"S. Molnar, J. Wiley, T. K. Cureton","doi":"10.1080/10671188.1973.10615206","DOIUrl":null,"url":null,"abstract":"Abstract The relationship among time components of the left ventricle, endurance performances, and oxygen consumption during a standard work load (1107 kg · m/min) in a supine position on a bicycle ergometer were investigated. The subjects were 100 male volunteers, 17 to 23 years of age. A moderate correlation (multiple R = .64) was found among cardiac time components and endurance performance (all-out bicycle ergometer ride time). The pre-ejection time components (i.e., electromechanical lag and isovolumetric contraction period) cannot be considered good predictors for endurance performances or oxygen consumption. Mechanical systole was found to have the most net predictive value in the various combinations for predicting all-out ride time, mile-run time, and oxygen consumption.","PeriodicalId":192960,"journal":{"name":"Research Quarterly. American Association for Health, Physical Education and Recreation","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1973-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction of Endurance Performance and Oxygen Consumption from Cardiac Time Components\",\"authors\":\"S. Molnar, J. Wiley, T. K. Cureton\",\"doi\":\"10.1080/10671188.1973.10615206\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract The relationship among time components of the left ventricle, endurance performances, and oxygen consumption during a standard work load (1107 kg · m/min) in a supine position on a bicycle ergometer were investigated. The subjects were 100 male volunteers, 17 to 23 years of age. A moderate correlation (multiple R = .64) was found among cardiac time components and endurance performance (all-out bicycle ergometer ride time). The pre-ejection time components (i.e., electromechanical lag and isovolumetric contraction period) cannot be considered good predictors for endurance performances or oxygen consumption. Mechanical systole was found to have the most net predictive value in the various combinations for predicting all-out ride time, mile-run time, and oxygen consumption.\",\"PeriodicalId\":192960,\"journal\":{\"name\":\"Research Quarterly. American Association for Health, Physical Education and Recreation\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1973-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research Quarterly. American Association for Health, Physical Education and Recreation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/10671188.1973.10615206\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research Quarterly. American Association for Health, Physical Education and Recreation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/10671188.1973.10615206","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prediction of Endurance Performance and Oxygen Consumption from Cardiac Time Components
Abstract The relationship among time components of the left ventricle, endurance performances, and oxygen consumption during a standard work load (1107 kg · m/min) in a supine position on a bicycle ergometer were investigated. The subjects were 100 male volunteers, 17 to 23 years of age. A moderate correlation (multiple R = .64) was found among cardiac time components and endurance performance (all-out bicycle ergometer ride time). The pre-ejection time components (i.e., electromechanical lag and isovolumetric contraction period) cannot be considered good predictors for endurance performances or oxygen consumption. Mechanical systole was found to have the most net predictive value in the various combinations for predicting all-out ride time, mile-run time, and oxygen consumption.