Joo-Ho Ham, Hun-Young Park, Youn-Ho Kim, Sang-Kon Bae, Byung-Hoon Ko, Sang-Seok Nam
{"title":"利用跑步机增量运动测试中的心率阈值（HRT），开发无氧阈值（HRLT、HRVT）估算方程。","authors":"Joo-Ho Ham, Hun-Young Park, Youn-Ho Kim, Sang-Kon Bae, Byung-Hoon Ko, Sang-Seok Nam","doi":"10.20463/jenb.2017.0016","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this study was to develop a regression model to estimate the heart rate at the lactate threshold (HRLT) and the heart rate at the ventilatory threshold (HRVT) using the heart rate threshold (HRT), and to test the validity of the regression model.</p><p><strong>Methods: </strong>We performed a graded exercise test with a treadmill in 220 normal individuals (men: 112, women: 108) aged 20-59 years. HRT, HRLT, and HRVT were measured in all subjects. A regression model was developed to estimate HRLT and HRVT using HRT with 70% of the data (men: 79, women: 76) through randomization (7:3), with the Bernoulli trial. The validity of the regression model developed with the remaining 30% of the data (men: 33, women: 32) was also examined.</p><p><strong>Results: </strong>Based on the regression coefficient, we found that the independent variable HRT was a significant variable in all regression models. The adjusted R2 of the developed regression models averaged about 70%, and the standard error of estimation of the validity test results was 11 bpm, which is similar to that of the developed model.</p><p><strong>Conclusion: </strong>These results suggest that HRT is a useful parameter for predicting HRLT and HRVT.</p>","PeriodicalId":15795,"journal":{"name":"Journal of Exercise Nutrition & Biochemistry","volume":"21 3","pages":"43-49"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5643206/pdf/","citationCount":"0","resultStr":"{\"title\":\"Development of an anaerobic threshold (HRLT, HRVT) estimation equation using the heart rate threshold (HRT) during the treadmill incremental exercise test.\",\"authors\":\"Joo-Ho Ham, Hun-Young Park, Youn-Ho Kim, Sang-Kon Bae, Byung-Hoon Ko, Sang-Seok Nam\",\"doi\":\"10.20463/jenb.2017.0016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The purpose of this study was to develop a regression model to estimate the heart rate at the lactate threshold (HRLT) and the heart rate at the ventilatory threshold (HRVT) using the heart rate threshold (HRT), and to test the validity of the regression model.</p><p><strong>Methods: </strong>We performed a graded exercise test with a treadmill in 220 normal individuals (men: 112, women: 108) aged 20-59 years. HRT, HRLT, and HRVT were measured in all subjects. A regression model was developed to estimate HRLT and HRVT using HRT with 70% of the data (men: 79, women: 76) through randomization (7:3), with the Bernoulli trial. The validity of the regression model developed with the remaining 30% of the data (men: 33, women: 32) was also examined.</p><p><strong>Results: </strong>Based on the regression coefficient, we found that the independent variable HRT was a significant variable in all regression models. The adjusted R2 of the developed regression models averaged about 70%, and the standard error of estimation of the validity test results was 11 bpm, which is similar to that of the developed model.</p><p><strong>Conclusion: </strong>These results suggest that HRT is a useful parameter for predicting HRLT and HRVT.</p>\",\"PeriodicalId\":15795,\"journal\":{\"name\":\"Journal of Exercise Nutrition & Biochemistry\",\"volume\":\"21 3\",\"pages\":\"43-49\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5643206/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Exercise Nutrition & Biochemistry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20463/jenb.2017.0016\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Exercise Nutrition & Biochemistry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20463/jenb.2017.0016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of an anaerobic threshold (HRLT, HRVT) estimation equation using the heart rate threshold (HRT) during the treadmill incremental exercise test.
Purpose: The purpose of this study was to develop a regression model to estimate the heart rate at the lactate threshold (HRLT) and the heart rate at the ventilatory threshold (HRVT) using the heart rate threshold (HRT), and to test the validity of the regression model.
Methods: We performed a graded exercise test with a treadmill in 220 normal individuals (men: 112, women: 108) aged 20-59 years. HRT, HRLT, and HRVT were measured in all subjects. A regression model was developed to estimate HRLT and HRVT using HRT with 70% of the data (men: 79, women: 76) through randomization (7:3), with the Bernoulli trial. The validity of the regression model developed with the remaining 30% of the data (men: 33, women: 32) was also examined.
Results: Based on the regression coefficient, we found that the independent variable HRT was a significant variable in all regression models. The adjusted R2 of the developed regression models averaged about 70%, and the standard error of estimation of the validity test results was 11 bpm, which is similar to that of the developed model.
Conclusion: These results suggest that HRT is a useful parameter for predicting HRLT and HRVT.
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