Sensitivity of Monthly Heart Rate and Psychometric Measures for Monitoring Physical Performance in Highly Trained Young Handball Players

Buchheit, Martin

doi:10.1055/s-0034-1385882

Cited by 16 publications

(22 citation statements)

References 35 publications

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“…Indeed data derived from elite triathletes and adolescent Handball players suggests the use of a single data point could be misleading for practitioners due to the high day-to-day variation in these indices. 35,36 In elite triathletes when data were averaged over a week or using a 7-day rolling average significant large correlations were found with 10-km running performance compared to a single assessment point where negligible relationships were seen. 37 .…”

Section: Discussionmentioning

confidence: 99%

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Tracking Morning Fatigue Status Across In-Season Training Weeks in Elite Soccer Players

Thorpe

Strudwick

Buchheit

et al. 2016

International Journal of Sports Physiology and Performance

120

115

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Purpose: To quantify the mean daily changes in training and match load and any parallel changes in indicators of morning-measured fatigue across in-season training weeks in elite soccer players. Methods: Following each training session and match, ratings of perceived exertion (s-RPE) were recorded to calculate overall session load (RPE-TL) in 29 English Premier League players from the same team. Morning ratings of fatigue, sleep quality, delayed-onset muscle soreness (DOMS), as well as sub-maximal exercise heart rate (HRex), post-exercise heart rate recovery (HRR%) and variability (HRV) were also recorded prematch day and one, two and four days post-match. Data were collected for a median duration of 3 weeks (range:1-13) and reduced to a typical weekly cycle including no mid-week match and a weekend match day. Data were analysed using within-subjects linear mixed models.Results: RPE-TL was approximately 600 AU (95%CI: 546-644) higher on match-day vs the following day (P<0.001). RPE-TL progressively decreased by ≈ 60 AU per day over the 3 days prior to a match (P<0.05). Morning-measured fatigue, sleep quality and DOMS tracked the changes in RPE-TL, being 35-40% worse on post-match day vs pre-match day (P<0.001).Perceived fatigue, sleep quality and DOMS improved by 17-26% from post-match day to three days post-match with further smaller (7-14%) improvements occurring between four days post-match and pre-match day (P<0.01). There were no substantial or statistically significant changes in HRex, HRR% and HRV over the weekly cycle (P>0.05). Conclusions:Morning-measured ratings of fatigue, sleep quality and DOMS are clearly more sensitive than HR-derived indices to the daily fluctuations in session load experienced by elite soccer players within a standard in-season week.

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Section: Discussionmentioning

confidence: 99%

“…Additionally, changes in monthly HRV measurements were not sensitive to changes in performance indices in young Handball players. 36 Future research is needed to establish whether sensitivity of HR indices are seen over longer training periods in elite soccer players.…”

Section: Discussionmentioning

confidence: 99%

Tracking Morning Fatigue Status Across In-Season Training Weeks in Elite Soccer Players

Thorpe

Strudwick

Buchheit

et al. 2016

International Journal of Sports Physiology and Performance

120

115

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“…A similar observation in young handball players has also been reported when single monthly assessments were found to have less than 20% sensitivity to training status. 44 Future work is required to observe whether more frequent measures of HRV improve sensitivity to training load. Furthermore, future research is needed to establish how HRV responds to more extended and sustained periods of training and match load in elite soccer players.…”

Section: Discussionmentioning

confidence: 99%

The Influence of Changes in Acute Training Load on Daily Sensitivity of Morning-Measured Fatigue Variables in Elite Soccer Players

Thorpe¹,

Strudwick²,

Buchheit³

et al. 2017

International Journal of Sports Physiology and Performance

104

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Purpose:To determine the sensitivity of a range of potential fatigue measures to daily training load accumulated over the previous 2, 3, and 4 d during a short in-season competitive period in elite senior soccer players (N = 10). Methods: Total highspeed-running distance, perceived ratings of wellness (fatigue, muscle soreness, sleep quality), countermovement-jump height (CMJ), submaximal heart rate (HRex), postexercise heart-rate recovery (HRR), and heart-rate variability (HRV: Ln rMSSD) were analyzed during an in-season competitive period (17 d). General linear models were used to evaluate the influence of 2-, 3-, and 4-d total high-speed-running-distance accumulation on fatigue measures. Results: Fluctuations in perceived ratings of fatigue were correlated with fluctuations in total high-speed-running-distance accumulation covered on the previous 2 d (r = -.31; small), 3 d (r = -.42; moderate), and 4 d (r = -.28; small) (P < .05). Changes in HRex (r = .28; small; P = .02) were correlated with changes in 4-d total high-speed-running-distance accumulation only. Correlations between variability in muscle soreness, sleep quality, CMJ, HRR%, and HRV and total high-speed-running distance were negligible and not statistically significant for all accumulation training loads. Conclusions: Perceived ratings of fatigue and HRex were sensitive to fluctuations in acute total high-speed-running-distance accumulation, although sensitivity was not systematically influenced by the number of previous days over which the training load was accumulated. The present findings indicate that the sensitivity of morning-measured fatigue variables to changes in training load is generally not improved when compared with training loads beyond the previous day's training. Keywords: training, performance, wellness, recoveryThe locomotor demands of elite soccer have progressively increased in recent years. 1,2 Since leading teams are also required to compete in a high number of matches over the course of season, 3 implementation of effective recovery strategies are paramount to avoid the debilitating effects associated with overtraining and injury. 4 Increasing attention in the literature has therefore focused on evaluating the effectiveness of a range of monitoring tools that may serve as valid indicators of fatigue status of athletes. 5 For the purpose of this manuscript, fatigue will be defined as an inability to complete a task that was once achievable within a recent time frame. 6 Recent research has examined the sensitivity of potential measures of fatigue to daily fluctuations in training load in Australian Rules Football (AFL). 7,8 In AFL players, perceived ratings of wellness, 7,8 submaximal heart rate (HRex), 7 and an index (LnSD1) of vagal-related heart-rate variability (HRV) 7 were sensitive to the fluctuations in daily training load during a preseason training period. Similarly, in elite soccer players competing in the English Premier League (EPL), 9 both rating of perceived fatigue and vagal related HRV measure Ln rMSSD were mo...

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“…13 A plethora of ASRM currently exist including the POMS, 14,15 DALDA, 16 TQR, 17 and REST-Q 18,19 which have been extensively documented in the literature. However, many of these are often extensive and time-consuming to complete preventing their use on a daily basis with large numbers of team athletes.…”

Section: Athlete Self-report Measuresmentioning

confidence: 99%

Monitoring Fatigue Status in Elite Team-Sport Athletes: Implications for Practice

Thorpe¹,

Atkinson²,

Drust³

et al. 2017

International Journal of Sports Physiology and Performance

203

216

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The increase in competition demands in elite team sports over recent years has prompted much attention from researchers and practitioners to the monitoring of adaptation and fatigue in athletes. Monitoring fatigue and gaining an understanding of athlete status may also provide insights and beneficial information pertaining to player availability, injury, and illness risk. Traditional methods used to quantify recovery and fatigue in team sports, such as maximal physical-performance assessments, may not be feasible to detect variations in fatigue status throughout competitive periods. Faster, simpler, and nonexhaustive tests such as athlete self-report measures, autonomic nervous system response via heart-rate-derived indices, and to a lesser extent, jump protocols may serve as promising tools to quantify and establish fatigue status in elite team-sport athletes. The robust rationalization and precise detection of a meaningful fluctuation in these measures are of paramount importance for practitioners working alongside athletes and coaches on a daily basis. There are various methods for arriving at a minimal clinically important difference, but these have been rarely adopted by sport scientists and practitioners. The implementation of appropriate, reliable, and sensitive measures of fatigue can provide important information to key stakeholders in team-sport environments. Future research is required to investigate the sensitivity of these tools to fundamental indicators such as performance, injury, and illness.Keywords: training, performance, wellness, recovery, injury, illness Elite team-sport athletes, particularly those in the professional football codes, are exposed to high competition loads, particularly in recent years. These high loads reflect a number of factors, including an increased frequency of domestic competitions, particularly for higher-level athletes, as well as a higher intensity of competition due to enhanced player preparation strategies. 1 Higher loads may also result from the increased demands of international competition during both the domestic season and the off-season period.An increased availability of athletes for selection, as a result of a reduction in injuries, substantially increases a team's chance of success. 2 Therefore, injury prevention strategies are fundamental to the work of the athlete's support team. Routine modifications in training load (frequency, duration, intensity) occur during the training cycle and these subsequently increase or decrease fatigue. Management of fatigue is important in mediating adaption to training and ensuring the athlete is prepared for competition, 3 as well as for reducing the athletes' susceptibility to nonfunctional overreaching, injury, and illness. 4 The importance of managing athlete fatigue has led to an increase in interest in monitoring athlete loads, particularly in terms of the measures which may offer insights into whether the athlete is adapting positively or negatively to the collective stresses of training and competition. In the pr...

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Sensitivity of Monthly Heart Rate and Psychometric Measures for Monitoring Physical Performance in Highly Trained Young Handball Players

Cited by 16 publications

References 35 publications

Tracking Morning Fatigue Status Across In-Season Training Weeks in Elite Soccer Players

Tracking Morning Fatigue Status Across In-Season Training Weeks in Elite Soccer Players

The Influence of Changes in Acute Training Load on Daily Sensitivity of Morning-Measured Fatigue Variables in Elite Soccer Players

Monitoring Fatigue Status in Elite Team-Sport Athletes: Implications for Practice

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