Methods of Monitoring Training Load and Their Association With Changes Across Fitness Measures in Hurling Players. Issue 1 (January 2020)

• Record Type: Journal Article
• Authors: Malone, Shane; Hughes, Brian; Collins, Kieran; Akubat, Ibrahim
• Is Part Of: Journal of strength and conditioning research. Volume 34:Issue 1(2020)
• Publication Date: 2020-01
• Subjects: heart rate -- training impulse -- session RPE -- dose-response; Physical education and training -- Periodicals; Weight training -- Physiological aspects -- Periodicals; Physical fitness -- Periodicals; 613.7
• DOI: 10.1519/JSC.0000000000002655
• Languages: English
• ISSNs: 1064-8011

Abstract

Abstract : Abstract: Malone, S, Hughes, B, Collins, K, and Akubat, I. Methods of monitoring training load and their association with changes across fitness measures in hurling players. J Strength Cond Res 34(1): 225–234, 2020—The aim of the current investigation was to assess the dose-response relationship for various methods of monitoring training load (TL) and changes in aerobic and anaerobic fitness in hurling players. Training and match load measures were collected from 30 hurling players (speed at different blood lactate [vLT, vOBLA], maximal oxygen uptake [VO2 max], speed at VO2 max [vVO2 max], peak treadmill velocity [PTV] running economy [RE] Yo-Yo intermittent recovery test (Yo-YoIR1, Yo-YoIR2), speed at 5, 10, 20 m, and repeated sprint ability [6 × 35 m]) before and after during a 12-week in-season period. Mean weekly training and match loads as determined by s-RPE, bTRIMP, luTRIMP, eTRIMP, iTRIMP, and gTRIMP were correlated with each other, percentage change in VO2 max, vVO2 max, RE, PTV, the speed at blood lactate concentrations of 2 mmol·L −1 (vLT) and 4 mmol·L −1 (vOBLA), and YoYoIR1, Yo-YoIR2 performance. iTRIMP showed a trivial association with s-RPE and a small to moderate association with other heart rate–based methods. Small to large changes (effect size: 0.38–1.12) were observed in aerobic and anaerobic fitness measures were observed across the 12-week period. Trivial to very large associations ( r = 0.11–0.78) were observed between TL variables and changes in fitness depending on the variable analyzed. iTRIMP was shown to have large to very large associations with changes in vOBLA { r = 0.78 (95% confidence interval [CI]: 0.71–0.88)}, VO2 max ( r = 0.77 [95% CI: 0.68–0.82]), RE ( r = 0.77 [95% CI: 0.67–0.82]), Yo-YoIR1 ( r = 0.69 [95% CI: 0.51–0.72]), and RSAb ( r = 0.66 [95% CI: 0.60–0.72]) with moderate associations reported between iTRIMP and other variables. All other measures of TL showed trivial to moderate associations ( r = 0.11–0.66). The current investigation shows that fully individualized training load (iTRIMP) measures may potentially offer a better understanding of dose-response relationships when compared with subjective and nonindividualized measures of TL to changes in aerobic and anaerobic fitness in team sports athletes; as such, it may be suggested that practitioners should use individualized measures of TL assessment within their day-to-day practices.