Clifton J Holmes, Lee J Winchester, Hayley V MacDonald, Michael V Fedewa, Stefanie A Wind, Michael R Esco
{"title":"中等负荷抵抗运动后心率变异性和疲劳测量的变化。","authors":"Clifton J Holmes, Lee J Winchester, Hayley V MacDonald, Michael V Fedewa, Stefanie A Wind, Michael R Esco","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>The purpose of this study was to determine the relationship between changes in heart rate variability (HRV), neuromuscular performance, and fatigue biomarkers in response to a resistance exercise bout. The root mean square of successive RR interval differences (RMSSD), neuromuscular performance - isometric handgrip (IHG), countermovement jump (CMJ), mean propulsive velocity (MPV) - metabolic stress (lactate [Lac]) and inflammation (interleukin-6 [IL-6]) were measured in 30 subjects who performed 6×10 back squat (BS), 3×10 bench press (BP), and 3×10 bent-over rows (BR) at 70% of 1-repetition maximum (1RM). The RMSSD, neuromuscular performance, and biomarkers were measured 10 min pre-exercise and 30 min post-exercise (Post<sub>30</sub>); HRV and Lac were also measured immediately post-exercise (Post<sub>0</sub>). Pre- versus post-exercise differences were evaluated using paired-samples <i>t</i>-tests. Pearson's correlations were used to determine the association between changes. With the exception of IL-6 (P=0.296) and MPV<sub>BP</sub> (P=0.678), LnRMSSD, neuromuscular performance, and metabolic stress were different post- compared to pre-exercise. We observed moderate associations between ΔLnRMSSD Post<sub>0</sub> and ΔLac Post<sub>0</sub> (<i>r</i> = -0.44) and ΔLac Post<sub>30</sub> (<i>r</i> = -0.55), respectively. Practitioners should use multiple training load indicators to gain an accurate depiction of recovery.</p>","PeriodicalId":35899,"journal":{"name":"Journal of Exercise Physiology Online","volume":"23 5","pages":"24-35"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273014/pdf/nihms-1768734.pdf","citationCount":"0","resultStr":"{\"title\":\"Changes in Heart Rate Variability and Fatigue Measures Following Moderate Load Resistance Exercise.\",\"authors\":\"Clifton J Holmes, Lee J Winchester, Hayley V MacDonald, Michael V Fedewa, Stefanie A Wind, Michael R Esco\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The purpose of this study was to determine the relationship between changes in heart rate variability (HRV), neuromuscular performance, and fatigue biomarkers in response to a resistance exercise bout. The root mean square of successive RR interval differences (RMSSD), neuromuscular performance - isometric handgrip (IHG), countermovement jump (CMJ), mean propulsive velocity (MPV) - metabolic stress (lactate [Lac]) and inflammation (interleukin-6 [IL-6]) were measured in 30 subjects who performed 6×10 back squat (BS), 3×10 bench press (BP), and 3×10 bent-over rows (BR) at 70% of 1-repetition maximum (1RM). The RMSSD, neuromuscular performance, and biomarkers were measured 10 min pre-exercise and 30 min post-exercise (Post<sub>30</sub>); HRV and Lac were also measured immediately post-exercise (Post<sub>0</sub>). Pre- versus post-exercise differences were evaluated using paired-samples <i>t</i>-tests. Pearson's correlations were used to determine the association between changes. With the exception of IL-6 (P=0.296) and MPV<sub>BP</sub> (P=0.678), LnRMSSD, neuromuscular performance, and metabolic stress were different post- compared to pre-exercise. We observed moderate associations between ΔLnRMSSD Post<sub>0</sub> and ΔLac Post<sub>0</sub> (<i>r</i> = -0.44) and ΔLac Post<sub>30</sub> (<i>r</i> = -0.55), respectively. Practitioners should use multiple training load indicators to gain an accurate depiction of recovery.</p>\",\"PeriodicalId\":35899,\"journal\":{\"name\":\"Journal of Exercise Physiology Online\",\"volume\":\"23 5\",\"pages\":\"24-35\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273014/pdf/nihms-1768734.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Exercise Physiology Online\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Exercise Physiology Online","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
Changes in Heart Rate Variability and Fatigue Measures Following Moderate Load Resistance Exercise.
The purpose of this study was to determine the relationship between changes in heart rate variability (HRV), neuromuscular performance, and fatigue biomarkers in response to a resistance exercise bout. The root mean square of successive RR interval differences (RMSSD), neuromuscular performance - isometric handgrip (IHG), countermovement jump (CMJ), mean propulsive velocity (MPV) - metabolic stress (lactate [Lac]) and inflammation (interleukin-6 [IL-6]) were measured in 30 subjects who performed 6×10 back squat (BS), 3×10 bench press (BP), and 3×10 bent-over rows (BR) at 70% of 1-repetition maximum (1RM). The RMSSD, neuromuscular performance, and biomarkers were measured 10 min pre-exercise and 30 min post-exercise (Post30); HRV and Lac were also measured immediately post-exercise (Post0). Pre- versus post-exercise differences were evaluated using paired-samples t-tests. Pearson's correlations were used to determine the association between changes. With the exception of IL-6 (P=0.296) and MPVBP (P=0.678), LnRMSSD, neuromuscular performance, and metabolic stress were different post- compared to pre-exercise. We observed moderate associations between ΔLnRMSSD Post0 and ΔLac Post0 (r = -0.44) and ΔLac Post30 (r = -0.55), respectively. Practitioners should use multiple training load indicators to gain an accurate depiction of recovery.
期刊介绍:
The Journal of Exercise Physiologyonline, published by the American Society of Exercise Physiologists, is a professional peer reviewed Internet-based journal devoted to original research in exercise physiology. The journal is directed by the Editor-In-Chief with supporting editorial assistance via Associate Editors knowledgeable in the field of exercise physiology. JEPonline is the first electronic peer reviewed exercise physiology journal in the history of the profession.