scholarly journals Increases in RPE Rating Predict Fatigue Accumulation Without Changes in Heart Rate Zone Distribution After 4-Week Low-Intensity High-Volume Training Period in High-Level Rowers

2021 ◽  
Vol 12 ◽  
Author(s):  
Rasmus Pind ◽  
Peter Hofmann ◽  
Evelin Mäestu ◽  
Eno Vahtra ◽  
Priit Purge ◽  
...  
Keyword(s):  
Heart Rate ◽  
Perceived Exertion ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Training Data ◽  
Training Period ◽  
Zone Method ◽  
Low Intensity ◽  
High Level ◽  
Intensity Training

Purpose: The aim of this study was to investigate the interaction of training load quantification using heart rate (HR) and rating of perceived exertion (RPE)-based methodology, and the relationship between internal training load parameters and subjective training status (Fatigue) in high-level rowers during volume increased low-intensity training period.Methods: Training data from 19 high-level rowers (age 23.5 ± 5.9 years; maximal oxygen uptake 58.9 ± 5.8 ml·min−1·kg−1) were collected during a 4-week volume increased training period. All individual training sessions were analyzed to quantify training intensity distribution based on the HR time-in-zone method (i.e., HR Z1, HR Z2, and HR Z3) determined by the first and second ventilatory thresholds (VT1/VT2). Internal training load was calculated using session RPE (sRPE) to categorize training load by effort (i.e., sRPE1, sRPE2, and sRPE3). The Recovery-Stress Questionnaire for Athletes (RESTQ-Sport) questionnaire was implemented after every week of the study period.Results: No differences were found between the respective HR and effort-based zone distributions during the baseline week (p > 0.05). Compared to HR Z1, sRPE1 was significantly lower in weeks 2–4 (p < 0.05), while sRPE2 was higher in weeks 2–3 compared to HR Z2 (p < 0.05) and, in week 4, the tendency (p = 0.06) of the higher amount of sRPE3 compared to HR Z3 was found. There were significant increases in RESTQ-Sport stress scales and decreases in recovery scales mostly during weeks 3 and 4. Increases in the Fatigue scale were associated with the amounts of sRPE2 and sRPE3 (p = 0.011 and p = 0.008, respectively), while no associations with Fatigue were found for HR-based session quantification with internal or external training load variables.Conclusion: During a low-intensity 4-week training period with increasing volume, RPE-based training quantification indicated a shift toward the harder rating of sessions with unchanged HR zone distributions. Moderate and Hard rated sessions were related to increases in Fatigue. Session rating of perceived exertion and effort-based training load could be practical measures in combination with HR to monitor adaptation during increased volume, low-intensity training period in endurance athletes.

scholarly journals Training Loads, Wellness And Performance Before and During Tapering for a Water-Polo Tournament

2019 ◽  
Vol 66 (1) ◽  
pp. 131-141
Author(s):  
Petros G. Botonis ◽  
Argyris G. Toubekis ◽  
Theodoros I. Platanou
Keyword(s):  
Muscle Soreness ◽  
Perceived Exertion ◽  
Swimming Performance ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Training Period ◽  
Training Strategy ◽  
Water Polo ◽  
And Performance ◽  
High Level

AbstractWe investigated the effectiveness of a short-duration training period including an overloaded (weeks 1 and 2) and a reduced training load period (weeks 3 and 4) on wellness, swimming performance and a perceived internal training load in eight high-level water-polo players preparing for play-offs. The internal training load was estimated daily using the rating of perceived exertion (RPE) and session duration (session-RPE). Perceived ratings of wellness (fatigue, muscle soreness, sleep quality, stress level and mood) were assessed daily. Swimming performance was evaluated through 400-m and 20-m tests performed before (baseline) and after the end of weeks 2 and 4. In weeks 3 and 4, the internal training load was reduced by 19.0 ± 3.8 and 36.0 ± 4.7%, respectively, compared to week 1 (p = 0.00). Wellness was improved in week 4 (20.4 ± 2.8 AU) compared to week 1 and week 2 by 16.0 ± 2.2 and 17.3 ± 2.9 AU, respectively (p =0.001). At the end of week 4, swimming performance at 400-m and 20-m tests (299.0 ± 10.2 and 10.2 ± 0.3 s) was improved compared to baseline values (301.4 ± 10.9 and 10.4 ± 0.4 s, p < 0.05) and the overloading training period (week 2; 302.9 ± 9.0 and 10.4 ± 0.4 s, p < 0.05). High correlations were observed between the percentage reduction of the internal training load from week 4 to week 1 (-25.3 ± 5.5%) and the respective changes in 20-m time (-2.1 ± 2.2%, r = 0.88, p < 0.01), fatigue perception (39.6 ± 27.1%), muscle soreness (32.5 ± 26.6%), stress levels (25.6 ± 15.1%) and the overall wellness scores (28.6 ± 21.9%, r = 0.74-0.79, p < 0.05). The reduction of the internal training load improved the overall perceived wellness and swimming performance of players. The aforementioned periodization approach may be an effective training strategy in the lead-up to play-off tournaments.

scholarly journals Methods of Monitoring Training Load and Their Relationships to Changes in Fitness and Performance in Competitive Road Cyclists

2017 ◽  
Vol 12 (5) ◽  
pp. 668-675 ◽  
Author(s):  
Dajo Sanders ◽  
Grant Abt ◽  
Matthijs K.C. Hesselink ◽  
Tony Myers ◽  
Ibrahim Akubat
Keyword(s):  
Dose Response ◽  
Aerobic Fitness ◽  
Perceived Exertion ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Training Data ◽  
Training Period ◽  
Competitive Cyclists ◽  
Road Cyclists ◽  
And Performance

Purpose:To assess the dose-response relationships between different training-load methods and aerobic fitness and performance in competitive road cyclists.Methods:Training data from 15 well-trained competitive cyclists were collected during a 10-wk (December–March) preseason training period. Before and after the training period, participants underwent a laboratory incremental exercise test with gas-exchange and lactate measures and a performance assessment using an 8-min time trial (8MT). Internal training load was calculated using Banister TRIMP, Edwards TRIMP, individualized TRIMP (iTRIMP), Lucia TRIMP (luTRIMP), and session rating of perceived exertion (sRPE). External load was measured using Training Stress Score (TSS).Results:Large to very large relationships (r = .54–.81) between training load and changes in submaximal fitness variables (power at 2 and 4 mmol/L) were observed for all training-load calculation methods. The strongest relationships with changes in aerobic fitness variables were observed for iTRIMP (r = .81 [95% CI .51–.93, r = .77 [95% CI .43–.92]) and TSS (r = .75 [95% CI .31–.93], r = .79 [95% CI .40–.94]). The strongest dose-response relationships with changes in the 8MT test were observed for iTRIMP (r = .63 [95% CI .17–.86]) and luTRIMP (r = .70 [95% CI .29–.89).Conclusions:Training-load quantification methods that integrate individual physiological characteristics have the strongest dose-response relationships, suggesting this to be an essential factor in the quantification of training load in cycling.

The Validity of the Session-RPE Method for Quantifying Training Load in Water Polo

2014 ◽  
Vol 9 (4) ◽  
pp. 656-660 ◽  
Author(s):  
Corrado Lupo ◽  
Laura Capranica ◽  
Antonio Tessitore
Keyword(s):  
Heart Rate ◽  
Perceived Exertion ◽  
Training Session ◽  
Team Sports ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Individual Data ◽  
Zone Method ◽  
Male Youth ◽  
Water Polo

Context:The assessment of internal training load (ITL) using the session rating of perceived exertion (session RPE) has been demonstrated to provide valuable information, also in team sports. Nevertheless, no studies have investigated the use of this method during youth water polo training.Purpose:To evaluate youth water polo training, showing the corresponding level of reliability of the session-RPE method.Methods:Thirteen male youth water polo players (age 15.6 ± 0.5 y, height 1.80 ± 0.06 m, body mass 72.7 ± 7.8 kg) were monitored during 8 training sessions (80 individual training sessions) over 10 d. The Edwards summated heart-rate-zone method was used as a reference measure of ITL; the session-RPE rating was obtained using CR-10 scale modified by Foster. The Pearson product–moment was applied to regress the Edwards heart-rate-zone method against CR-10 session RPE for each training session and individual data.Results:Analyses reported overall high (r = .88, R2 = .78) and significant (P < .001) correlations between the Edwards heart-rate and session-RPE methods. Significant correlations were also shown for each training session (r range .69–.92, R2 range .48–.85, P < .05) and individual data (r range .76–.98, R2 range .58–.97, P < .05).Discussion:The results confirmed that the session-RPE method as an easy and reliable tool to evaluate ITL in youth water polo, allowing coaches to efficiently monitor their training plans.

Training Load and Player Monitoring in High-Level Football: Current Practice and Perceptions

2016 ◽  
Vol 11 (5) ◽  
pp. 587-593 ◽  
Author(s):  
Richard Akenhead ◽  
George P. Nassis
Keyword(s):  
Heart Rate ◽  
Human Resources ◽  
Perceived Exertion ◽  
Performance Enhancement ◽  
The United States ◽  
Training Load ◽  
Assessment Tools ◽  
Rating Of Perceived Exertion ◽  
Actual Effectiveness ◽  
High Level

Training load (TL) is monitored with the aim of making evidence-based decisions on appropriate loading schemes to reduce injuries and enhance team performance. However, little is known in detail about the variables of load and methods of analysis used in high-level football. Therefore, the aim of this study was to provide information on the practices and practitioners’ perceptions of monitoring in professional clubs. Eighty-two high-level football clubs from Europe, the United States, and Australia were invited to answer questions relating to how TL is quantified, how players’ responses are monitored, and their perceptions of the effectiveness of monitoring. Forty-one responses were received. All teams used GPS and heart-rate monitors during all training sessions, and 28 used rating of perceived exertion. The top-5-ranking TL variables were acceleration (various thresholds), total distance, distance covered above 5.5 m/s, estimated metabolic power, and heart-rate exertion. Players’ responses to training are monitored using questionnaires (68% of clubs) and submaximal exercise protocols (41%). Differences in expected vs actual effectiveness of monitoring were 23% and 20% for injury prevention and performance enhancement, respectively (P < .001 d = 1.0−1.4). Of the perceived barriers to effectiveness, limited human resources scored highest, followed by coach buy-in. The discrepancy between expected and actual effectiveness appears to be due to suboptimal integration with coaches, insufficient human resources, and concerns over the reliability of assessment tools. Future approaches should critically evaluate the usefulness of current monitoring tools and explore methods of reducing the identified barriers to effectiveness.

Internal Training Load Affects Day-After-Pretraining Perceived Fatigue in Female Volleyball Players

2021 ◽  
pp. 1-7
Author(s):  
Alexandru Nicolae Ungureanu ◽  
Corrado Lupo ◽  
Gennaro Boccia ◽  
Paolo Riccardo Brustio
Keyword(s):  
Heart Rate ◽  
Muscle Soreness ◽  
Perceived Exertion ◽  
Well Being ◽  
Delayed Onset Muscle Soreness ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Mixed Effect ◽  
Delayed Onset ◽  
Volleyball Players

Purpose: The primary aim of this study was to evaluate whether the internal (session rating of perceived exertion [sRPE] and Edwards heart-rate-based method) and external training load (jumps) affect the presession well-being perception on the day after (ie, +22 h), according to age and tactical position, in elite (ie, Serie A2) female volleyball training. Methods: Ten female elite volleyball players (age = 23 [4] y, height = 1.82 [0.04] m, body mass = 73.2 [4.9] kg) had their heart rate monitored during 13 team (115 individual) training sessions (duration: 101 [8] min). Mixed-effect models were applied to evaluate whether sRPE, Edwards method, and jumps were correlated (P ≤ .05) to Hooper index factors (ie, perceived sleep quality/disorders, stress level, fatigue, and delayed-onset muscle soreness) in relation to age and tactical position (ie, hitters, central blockers, opposites, and setters). Results: The results showed a direct relationship between sRPE (P < .001) and presession well-being perception 22 hours apart, whereas the relationship was the inverse for Edwards method internal training load. Age, as well as the performed jumps, did not affect the well-being perception of the day after. Finally, central blockers experienced a higher delayed-onset muscle soreness than hitters (P = .003). Conclusions: Findings indicated that female volleyball players’ internal training load influences the pretraining well-being status on the day after (+ 22 h). Therefore, coaches can benefit from this information to accurately implement periodization in a short-term perspective and to properly adopt recovery strategies in relation to the players’ well-being status.

Training-Load Distribution in Endurance Runners: Objective Versus Subjective Assessment

2015 ◽  
Vol 10 (8) ◽  
pp. 1023-1028 ◽  
Author(s):  
Vincenzo Manzi ◽  
Antonio Bovenzi ◽  
Carlo Castagna ◽  
Paola Sinibaldi Salimei ◽  
Maurizio Volterrani ◽  
...  
Keyword(s):  
Heart Rate ◽  
Perceived Exertion ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Maximal Heart Rate ◽  
Long Distance ◽  
Running Speed ◽  
Training Time ◽  
Significant Difference ◽  
Training Methodologies

Purpose:To assess the distribution of exercise intensity in long-distance recreational athletes (LDRs) preparing for a marathon and to test the hypothesis that individual perception of effort could provide training responses similar to those provided by standardized training methodologies.Methods:Seven LDRs (age 36.5 ± 3.8 y) were followed during a 5-mo training period culminating with a city marathon. Heart rate at 2.0 and 4.0 mmol/L and maximal heart rate were used to establish 3 intensity training zones. Internal training load (TL) was assessed by training zones and TRIMPi methods. These were compared with the session-rating-of-perceived-exertion (RPE) method.Results:Total time spent in zone 1 was higher than in zones 2 and 3 (76.3% ± 6.4%, 17.3% ± 5.8%, and 6.3% ± 0.9%, respectively; P = .000 for both, ES = 0.98, ES = 0.99). TL quantified by session-RPE provided the same result. The comparison between session-RPE and training-zones-based methods showed no significant difference at the lowest intensity (P = .07, ES = 0.25). A significant correlation was observed between TL RPE and TL TRIMPi at both individual and group levels (r = .79, P < .001). There was a significant correlation between total time spent in zone 1 and the improvement at the running speed of 2 mmol/L (r = .88, P < .001). A negative correlation was found between running speed at 2 mmol/L and the time needed to complete the marathon (r = –.83, P < .001).Conclusions:These findings suggest that in recreational LDRs most of the training time is spent at low intensity and that this is associated with improved performances. Session-RPE is an easy-to-use training method that provides responses similar to those obtained with standardized training methodologies.

Training Characteristics of Male and Female Professional Road Cyclists: A 4-Year Retrospective Analysis

2020 ◽  
Vol 15 (4) ◽  
pp. 534-540 ◽  
Author(s):  
Teun van Erp ◽  
Dajo Sanders ◽  
Jos J. de Koning
Keyword(s):  
Heart Rate ◽  
Retrospective Analysis ◽  
Perceived Exertion ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Training Intensity ◽  
Male And Female ◽  
Stress Score ◽  
Training Stress ◽  
Training Impulse

Purpose: To describe the training intensity and load characteristics of professional cyclists using a 4-year retrospective analysis. Particularly, this study aimed to describe the differences in training characteristics between men and women professional cyclists. Method: For 4 consecutive years, training data were collected from 20 male and 10 female professional cyclists. From those training sessions, heart rate, rating of perceived exertion, and power output (PO) were analyzed. Training intensity distribution as time spent in different heart rate and PO zones was quantified. Training load was calculated using different metrics such as Training Stress Score, training impulse, and session rating of perceived exertion. Standardized effect size is reported as Cohen’s d. Results: Small to large higher values were observed for distance, duration, kilojoules spent, and (relative) mean PO in men’s training (d = 0.44–1.98). Furthermore, men spent more time in low-intensity zones (ie, zones 1 and 2) compared with women. Trivial differences in training load (ie, Training Stress Score and training impulse) were observed between men’s and women’s training (d = 0.07–0.12). However, load values expressed per kilometer were moderately (d = 0.67–0.76) higher in women compared with men’s training. Conclusions: Substantial differences in training characteristics exist between male and female professional cyclists. Particularly, it seems that female professional cyclists compensate their lower training volume, with a higher training intensity, in comparison with male professional cyclists.

scholarly journals Heart Rate Variability Responses to a Training Cycle in Female Youth Rowers

2020 ◽  
Vol 17 (22) ◽  
pp. 8391
Author(s):  
Rohan Edmonds ◽  
Julian Egan-Shuttler ◽  
Stephen J. Ives
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Perceived Exertion ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Cardiac Autonomic Function ◽  
Female Youth ◽  
Training Cycle ◽  
And Training

Heart rate variability (HRV) is a reputable estimate of cardiac autonomic function used across multiple athletic populations to document the cardiac autonomic responses to sport demands. However, there is a knowledge gap of HRV responses in female youth rowers. Thus, the purpose of this study was to measure HRV weekly, over a 15-week training period, covering pre-season and up to competition in youth female rowers, in order to understand the physiological response to long-term training and discern how fluctuations in HRV may relate to performance in this population. Measures of heart rate and heart rate variability were recorded before training each Friday over the monitoring period in seven athletes. Analysis of heart rate variability focused on time domain indices, the standard deviation of all normal to normal R–R wave intervals, and the root mean square of successive differences as markers of cardiac parasympathetic modulation. Training load was quantified by multiplying the rating of perceived exertion of the weeks training and training duration. A decrease was identified in cardiac parasympathetic modulation as the season progressed (Effect Size (Cohen’s d) = −0.34 to −0.8, weeks 6 and 11–15), despite no significant relationship between training load and heart rate variability. Factors outside of training may further compound the reduction in heart rate variability, with further monitoring of external stressors (e.g., school) in adolescent athletes.

scholarly journals Ecological Validity of the Session Rating of Perceived Exertion for Quantifying Internal Training Load in Fencing

2017 ◽  
Vol 12 (1) ◽  
pp. 124-128 ◽  
Author(s):  
Anthony N. Turner ◽  
Conor Buttigieg ◽  
Geoff Marshall ◽  
Angelo Noto ◽  
James Phillips ◽  
...  
Keyword(s):  
Heart Rate ◽  
Correlation Analysis ◽  
Individual Variation ◽  
Coefficient Of Variation ◽  
Perceived Exertion ◽  
Ecological Validity ◽  
Exercise Duration ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Competitive Season

Session rating of perceived exertion (sRPE) is known to significantly relate to heart-rate (HR) -based methods of quantifying internal training load (TL) in a variety of sports. However, to date this has not been investigated in fencing and was therefore the aim of this study. TL was calculated by multiplying the sRPE with exercise duration and through HR-based methods calculated using Banister and Edwards TRIMP. Seven male elite foil fencers (mean ± SD age 22.3 ± 1.6 y, height 181.3 ± 6.5 cm, body mass 77.7 ± 7.6 kg) were monitored over the period of 1 competitive season. The sRPE and HR of 67 training sessions and 3 competitions (87 poule bouts and 12 knockout rounds) were recorded and analyzed. Correlation analysis was used to determine any relationships between sRPE- and HR-based methods, accounting for individual variation, mode of training (footwork drills vs sparring sessions), and stage of competition (poules vs knockouts). Across 2 footwork sessions, sRPE and Banister and Edwards TRIMP were found to be reliable, with coefficient of variation values of 6.0%, 5.2%, and 4.5%, respectively. Significant correlations with sRPE for individual fencers (r = .84–.98) and across mode of exercise (r = .73–.85) and competition stages (r = .82–.92) were found with HR-based measures. sRPE is a simple and valuable tool coaches can use to quantify TL in fencing.

Quantifying Training Loads in Contemporary Dance

2017 ◽  
Vol 12 (6) ◽  
pp. 796-802 ◽  
Author(s):  
Annie C. Jeffries ◽  
Lee Wallace ◽  
Aaron J. Coutts
Keyword(s):  
Heart Rate ◽  
Sleep Quality ◽  
Perceived Exertion ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Stepwise Multiple Regression ◽  
Contemporary Dance ◽  
Related Factors ◽  
Dance Training ◽  
Metabolic Equivalents

Purpose:To describe the training demands of contemporary dance and determine the validity of using the session rating of perceived exertion (sRPE) to monitor exercise intensity and training load in this activity. In addition, the authors examined the contribution of training (ie, accelerometry and heart rate) and non-training-related factors (ie, sleep and wellness) to perceived exertion during dance training.Methods:Training load and ActiGraphy for 16 elite amateur contemporary dancers were collected during a 49-d period, using heart-rate monitors, accelerometry, and sRPE. Within-individual correlation analysis was used to determine relationships between sRPE and several other measures of training intensity and load. Stepwise multiple regressions were used to determine a predictive equation to estimate sRPE during dance training.Results:Average weekly training load was 4283 ± 2442 arbitrary units (AU), monotony 2.13 ± 0.92 AU, strain 10677 ± 9438 AU, and average weekly vector magnitude load 1809,707 ± 1015,402 AU. There were large to very large within-individual correlations between training-load sRPE and various other internal and external measures of intensity and load. The stepwise multiple-regression analysis also revealed that 49.7% of the adjusted variance in training-load sRPE was explained by peak heart rate, metabolic equivalents, soreness, motivation, and sleep quality (y = –4.637 + 13.817%HRpeak + 0.316 METS + 0.100 soreness + 0.116 motivation – 0.204 sleep quality).Conclusion:The current findings demonstrate the validity of the sRPE method for quantifying training load in dance, that dancers undertake very high training loads, and a combination of training and nontraining factors contribute to perceived exertion in dance training.

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