Training-intensity Distribution on Middle- and Long-distance Runners: A Systematic Review

2021 ◽  
Author(s):  
Yuri Campos ◽  
Arturo Casado ◽  
João Guilherme Vieira ◽  
Miller Guimarães ◽  
Leandro Sant’Ana ◽  
...  
Keyword(s):  
Systematic Review ◽  
Intensity Distribution ◽  
Perceived Exertion ◽  
Endurance Performance ◽  
High Volume ◽  
Rating Of Perceived Exertion ◽  
Training Intensity ◽  
Distance Runners ◽  
Long Distance ◽  
Low Intensity

AbstractTraining-intensity distribution (TID) is considered the key factor to optimize performance in endurance sports. This systematic review aimed to: I) characterize the TID typically used by middle-and long-distance runners; II) compare the effect of different types of TID on endurance performance and its physiological determinants; III) determine the extent to which different TID quantification methods can calculate same TID outcomes from a given training program. The keywords and search strategy identified 20 articles in the research databases. These articles demonstrated differences in the quantification of the different training-intensity zones among quantification methods (i. e. session-rating of perceived exertion, heart rate, blood lactate, race pace, and running speed). The studies that used greater volumes of low-intensity training such as those characterized by pyramidal and polarized TID approaches, reported greater improvements in endurance performance than those which used a threshold TID. Thus, it seems that the combination of high-volume at low-intensity (≥ 70% of overall training volume) and low-volume at threshold and high-intensity interval training (≤ 30%) is necessary to optimize endurance training adaptations in middle-and long-distance runners. Moreover, monitoring training via multiple mechanisms that systematically encompasses objective and subjective TID quantification methods can help coaches/researches to make better decisions.

scholarly journals Quantifying the Training-Intensity Distribution in Middle-Distance Runners: The Influence of Different Methods of Training-Intensity Quantification

2020 ◽  
Vol 15 (3) ◽  
pp. 319-323
Author(s):  
Phillip Bellinger ◽  
Blayne Arnold ◽  
Clare Minahan
Keyword(s):  
Intensity Distribution ◽  
Perceived Exertion ◽  
Rating Of Perceived Exertion ◽  
Training Intensity ◽  
Distance Runners ◽  
Running Speed ◽  
Training Time ◽  
Reduced Time ◽  
Continuous Running ◽  
Gas Exchange Threshold

Purpose: To compare the training-intensity distribution (TID) across an 8-week training period in a group of highly trained middle-distance runners employing 3 different methods of training-intensity quantification. Methods: A total of 14 highly trained middle-distance runners performed an incremental treadmill test to exhaustion to determine the heart rate (HR) and running speed corresponding to the ventilatory thresholds (gas-exchange threshold and respiratory-compensation threshold), as well as fixed rating of perceived exertion (RPE) values, which were used to demarcate 3 training-intensity zones. During the following 8 weeks, the TID (total and percentage of time spent in each training zone) of all running training sessions (N = 695) was quantified using continuous running speed, HR monitoring, and RPE. Results: Compared with the running-speed-derived TID (zone 1, 79.9% [7.3%]; zone 2, 5.3% [4.9%]; and zone 3, 14.7% [7.3%]), HR-demarcated TID (zone 1, 79.6% [7.2%]; zone 2, 17.0% [6.3%]; and zone 3, 3.4% [2.0%]) resulted in a substantially higher training time in zone 2 (effect size ± 95% confidence interval: −1.64 ± 0.53; P < .001) and lower training time in zone 3 (−1.59 ± 0.51; P < .001). RPE-derived TID (zone 1, 39.6% [8.4%]; zone 2, 31.9% [8.7%]; and zone 3, 28.5% [11.6%]) reduced time in zone 1 compared with both HR (−5.64 ± 1.40; P < .001) and running speed (−5.69 ± 1.9; P < .001), whereas time in RPE training zones 2 and 3 was substantially higher than both HR- and running-speed-derived zones. Conclusion: The results show that the method of training-intensity quantification substantially affects computation of TID.

Training intensity distribution in young tennis players

2016 ◽  
Vol 11 (6) ◽  
pp. 880-886 ◽  
Author(s):  
Alexandre Moreira ◽  
Rodrigo V Gomes ◽  
Caroline D Capitani ◽  
Charles R Lopes ◽  
Audrei R Santos ◽  
...  
Keyword(s):  
Heart Rate ◽  
Intensity Distribution ◽  
Perceived Exertion ◽  
Rating Of Perceived Exertion ◽  
Moderate Intensity ◽  
Training Intensity ◽  
Match Play ◽  
Training Time ◽  
Tennis Players ◽  
Professional Tennis

The aim of this study was to describe the training intensity distribution of elite young tennis players, based on the session rating of perceived exertion and heart rate methods. Twelve professional tennis players participated in this study. Heart rate and session rating of perceived exertion were collected in 384 tennis training sessions, 23 simulated matches, and 17 official matches. The total training time spent in the heart rate zone-1 (52.00%) and zone-2 (37.10%) was greater than the time spent in zone-3 (10.90%) during the 5-week training period ( p < 0.05). Similarly, the total training time spent in the session rating of perceived exertion zone-1 (42.00%) and zone-2 (47.50%) was also greater than the time in zone-3 (10.50%) ( p < 0.05). The data of the present study suggest that the majority of the training sessions of these young tennis players were performed at low-to-moderate intensity zone and, therefore, under the intensity performed during actual tennis match play.

scholarly journals The Quantification of Within-Week Session Intensity, Duration, and Intensity Distribution Across a Season in Australian Football Using the Session Rating of Perceived Exertion Method

2018 ◽  
Vol 13 (7) ◽  
pp. 940-946 ◽  
Author(s):  
Farhan Juhari ◽  
Dean Ritchie ◽  
Fergus O’Connor ◽  
Nathan Pitchford ◽  
Matthew Weston ◽  
...  
Keyword(s):  
Intensity Distribution ◽  
Mixed Models ◽  
High Intensity ◽  
Perceived Exertion ◽  
Linear Mixed Models ◽  
Training Session ◽  
Rating Of Perceived Exertion ◽  
Moderate Intensity ◽  
Low Intensity ◽  
Australian Football

Context: Team-sport training requires the daily manipulation of intensity, duration, and frequency, with preseason training focusing on meeting the demands of in-season competition and training on maintaining fitness. Purpose: To provide information about daily training in Australian football (AF), this study aimed to quantify session intensity, duration, and intensity distribution across different stages of an entire season. Methods: Intensity (session ratings of perceived exertion; CR-10 scale) and duration were collected from 45 professional male AF players for every training session and game. Each session’s rating of perceived exertion was categorized into a corresponding intensity zone, low (<4.0 arbitrary units), moderate (≥4.0 and <7.0), and high (≥7.0), to categorize session intensity. Linear mixed models were constructed to estimate session duration, intensity, and distribution between the 3 preseason and 4 in-season periods. Effects were assessed using linear mixed models and magnitude-based inferences. Results: The distribution of the mean session intensity across the season was 29% low intensity, 57% moderate intensity, and 14% high intensity. While 96% of games were high intensity, 44% and 49% of skills training sessions were low intensity and moderate intensity, respectively. Running had the highest proportion of high-intensity training sessions (27%). Preseason displayed higher training-session intensity (effect size [ES] = 0.29–0.91) and duration (ES = 0.33–1.44), while in-season game intensity (ES = 0.31–0.51) and duration (ES = 0.51–0.82) were higher. Conclusions: By using a cost-effective monitoring tool, this study provides information about the intensity, duration, and intensity distribution of all training types across different phases of a season, thus allowing a greater understanding of the training and competition demands of Australian footballers.

Anaerobic Threshold Prediction Using the OMNI-Walk/Run Scale in Long-Distance Runners: A Preliminary Study

2021 ◽  
Vol 16 (5) ◽  
pp. 727-730
Author(s):  
Yuri de Almeida Costa Campos ◽  
Jeferson M. Vianna ◽  
Miller P. Guimarães ◽  
Hiago L.R. Souza ◽  
Raúl Domínguez ◽  
...  
Keyword(s):  
Blood Lactate ◽  
Anaerobic Threshold ◽  
Lactate Threshold ◽  
Perceived Exertion ◽  
Lactate Concentration ◽  
Rating Of Perceived Exertion ◽  
Distance Runners ◽  
Long Distance ◽  
Incremental Test ◽  
Significant Difference

Purpose: To identify the anaerobic threshold through the lactate threshold determined by Dmax and rating of perceived exertion (RPE) threshold by Dmax and to evaluate the agreement and correlation between lactate threshold determined by Dmax and RPE threshold by Dmax during an incremental test performed on the treadmill in long-distance runners. Methods: A total of 16 long-distance runners volunteered to participate in the study. Participants performed 2 treadmill incremental tests for the collection of blood lactate concentrations and RPE separated by a 48-hour interval. The incremental test started at 8 km·h−1, increasing by 1.2 km·h−1 every third minute until exhaustion. During each stage of the incremental test, there were pauses of 30 seconds for the collection of blood lactate concentration and RPE. Results: No significant difference was found between methods lactate threshold determined by Dmax and RPE threshold by Dmax methods (P = .664). In addition, a strong correlation (r = .91) and agreement through Bland–Altman plot analysis were found. Conclusions: The study demonstrated that it is possible to predict anaerobic threshold from the OMNI-walk/run scale curve through a single incremental test on the treadmill. However, further studies are needed to evaluate the reproducibility and objectivity of the OMNI-walk/run scale for anaerobic threshold determination.

scholarly journals Drafting’s Improvement of 3000-m Running Performance in Elite Athletes: Is It a Placebo Effect?

2015 ◽  
Vol 10 (2) ◽  
pp. 147-152 ◽  
Author(s):  
Hassane Zouhal ◽  
Abderraouf Ben Abderrahman ◽  
Jacques Prioux ◽  
Beat Knechtle ◽  
Lotfi Bouguerra ◽  
...  
Keyword(s):  
Perceived Exertion ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Psychological Effects ◽  
Rating Of Perceived Exertion ◽  
Distance Runners ◽  
Long Distance ◽  
Running Performance ◽  
Maximal Aerobic Speed ◽  
Trained Runners

Purpose:To determine the effect of drafting on running time, physiological response, and rating of perceived exertion (RPE) during 3000-m track running.Methods:Ten elite middle- and long-distance runners performed 3 track-running sessions. The 1st session determined maximal oxygen uptake and maximal aerobic speed using a lightweight ambulatory respiratory gasexchange system (K4B2). The 2nd and the 3rd tests consisted of nondrafting 3000-m running (3000-mND) and 3000-m running with drafting for the 1st 2000 m (3000-mD) performed on the track in a randomized counterbalanced order.Results:Performance during the 3000-mND (553.59 ± 22.15 s) was significantly slower (P < .05) than during the 3000-mD (544.74 ± 18.72 s). Cardiorespiratory responses were not significantly different between the trials. However, blood lactate concentration was significantly higher (P < .05) after the 3000-mND (16.4 ± 2.3 mmol/L) than after the 3000-mD (13.2 ± 5.6 mmol/L). Athletes perceived the 3000-mND as more strenuous than the 3000-mD (P < .05) (RPE = 16.1 ± 0.8 vs 13.1 ± 1.3). Results demonstrate that drafting has a significant effect on performance in highly trained runners.Conclusion:This effect could not be explained by a reduced energy expenditure or cardiorespiratory effort as a result of drafting. This raises the possibility that drafting may aid running performance by both physiological and nonphysiological (ie, psychological) effects.

Hormonal and Neuromuscular Responses to High-Level Middle- and Long-Distance Competition

2014 ◽  
Vol 9 (5) ◽  
pp. 839-844 ◽  
Author(s):  
Carlos Balsalobre-Fernández ◽  
Carlos Ma Tejero-González ◽  
Juan del Campo-Vecino
Keyword(s):  
Perceived Exertion ◽  
Baseline Period ◽  
Rating Of Perceived Exertion ◽  
Distance Runners ◽  
Long Distance ◽  
Free Cortisol ◽  
Before And After ◽  
Neuromuscular Responses ◽  
Cortisol Levels ◽  
High Level

Purpose:The purpose of this study was to analyze the effects of high-level competition on salivary free cortisol, countermovement jump (CMJ), and rating of perceived exertion (RPE) and the relationships between these fatigue indicators in a group of elite middle- and long-distance runners.Method:The salivary free cortisol levels and CMJ height of 10 high-level middle- and long-distance runners (7 men, 3 women; age 27.6 ± 5.1y) competing in 800-m, 1500-m, 3000-m, or 5000-m events in the 2013 Spanish National Championships were measured throughout a 4-wk baseline period, then again before and after their respective races on the day of the competition. Athletes’ RPE was also measured after their races.Results:Cortisol increased significantly after the race compared with the value measured 90 min before the race (+98.3%, g = 0.82, P < .05), while CMJ height decreased significantly after the race (–3.9%, g = 0.34, P < .05). The decrease in CMJ height after the race correlates significantly with the postcompetition cortisol increase (r = .782, P < .05) and the RPE assessment (r = .762, P < .01).Conclusions:Observed differences in CMJ height correlate significantly with salivary free cortisol levels and RPE of middle- and long-distance runners. These results show the suitability of the CMJ for monitoring multifactorial competition responses in high-level middle- and long-distance runners.

scholarly journals The Training Characteristics of Recreational-Level Triathletes: Influence on Fatigue and Health

Sports ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 94
Author(s):  
João Henrique Falk Neto ◽  
Eric C. Parent ◽  
Veronica Vleck ◽  
Michael D. Kennedy
Keyword(s):  
Intensity Distribution ◽  
Perceived Exertion ◽  
Rating Of Perceived Exertion ◽  
Recovery Stress ◽  
Health Questionnaire ◽  
Training Intensity ◽  
Recreational Athletes ◽  
Competition Period ◽  
Daily Training ◽  
Distress Scale

Little is known about how recreational triathletes prepare for an Olympic distance event. The aim of this study was to identify the training characteristics of recreational-level triathletes within the competition period and assess how their preparation for a triathlon influences their health and their levels of fatigue. During the 6 weeks prior to, and the 2 weeks after, an Olympic distance triathlon, nine recreational athletes (five males, four females) completed a daily training log. Participants answered the Daily Analysis of Life Demands Questionnaire (DALDA), the Training Distress Scale (TDS) and the Alberta Swim Fatigue and Health Questionnaire weekly. The Recovery-Stress Questionnaire (REST-Q) was completed at the beginning of the study, on the day before the competition, and at the end of week 8. Training loads were calculated using session-based rating of perceived exertion (sRPE). The data from every week of training was compared to week 1 to determine how athletes’ training and health changed throughout the study. No changes in training loads, duration or training intensity distribution were seen in the weeks leading up to the competition. Training duration was significantly reduced in week 6 (p = 0.041, d = 1.58, 95% CI = 6.9, 421.9), while the number of sessions was reduced in week 6 (Z = 2.32, p = 0.02, ES = 0.88) and week 7 (Z = 2.31, p = 0.02, ES = 0.87). Training was characterized by large weekly variations in training loads and a high training intensity. No significant changes were seen in the DALDA, TDS or REST-Q questionnaire scores throughout the 8 weeks. Despite large spikes in training load and a high overall training intensity, these recreational-level triathletes were able to maintain their health in the 6 weeks of training prior to an Olympic distance triathlon.

The Effect of Periodization and Training Intensity Distribution on Middle- and Long-Distance Running Performance: A Systematic Review

2018 ◽  
Vol 13 (9) ◽  
pp. 1114-1121 ◽  
Author(s):  
Mark Kenneally ◽  
Arturo Casado ◽  
Jordan Santos-Concejero
Keyword(s):  
Case Studies ◽  
Intensity Distribution ◽  
Current Evidence ◽  
Original Research ◽  
Training Intensity ◽  
Distance Runners ◽  
Long Distance ◽  
Marathon Runners ◽  
Long Distance Running ◽  
Contradictory Finding

This review aimed to examine the current evidence for 3 primary training intensity distribution types: (1) pyramidal training, (2) polarized training, and (3) threshold training. Where possible, the training intensity zones relative to the goal race pace, rather than physiological or subjective variables, were calculated. Three electronic databases (PubMed, Scopus, and Web of Science) were searched in May 2017 for original research articles. After analysis of 493 resultant original articles, studies were included if they met the following criteria: (1) Their participants were middle- or long-distance runners; (2) they analyzed training intensity distribution in the form of observational reports, case studies, or interventions; (3) they were published in peer-reviewed journals; and (4) they analyzed training programs with a duration of 4 wk or longer. Sixteen studies met the inclusion criteria, which included 6 observational reports, 3 case studies, 6 interventions, and 1 review. According to the results of this analysis, pyramidal and polarized training are more effective than threshold training, although the latest is used by some of the best marathon runners in the world. Despite this apparent contradictory finding, this review presents evidence for the organization of training into zones based on a percentage of goal race pace, which allows for different periodization types to be compatible. This approach requires further development to assess whether specific percentages above and below race pace are key to inducing optimal changes.

scholarly journals Training-Intensity Distribution in Road Cyclists: Objective Versus Subjective Measures

2017 ◽  
Vol 12 (9) ◽  
pp. 1232-1237 ◽  
Author(s):  
Dajo Sanders ◽  
Tony Myers ◽  
Ibrahim Akubat
Keyword(s):  
Intensity Distribution ◽  
Lactate Threshold ◽  
Perceived Exertion ◽  
Rating Of Perceived Exertion ◽  
Training Data ◽  
Training Intensity ◽  
Intensity Measure ◽  
Intensity Measures ◽  
Evaluation Of Training ◽  
Road Cyclists

Purpose:To evaluate training-intensity distribution using different intensity measures based on rating of perceived exertion (RPE), heart rate (HR), and power output (PO) in well-trained cyclists. Methods:Fifteen road cyclists participated in the study. Training data were collected during a 10-wk training period. Training-intensity distribution was quantified using RPE, HR, and PO categorized in a 3-zone training-intensity model. Three zones for HR and PO were based around a 1st and 2nd lactate threshold. The 3 RPE zones were defined using a 10-point scale: zone 1, RPE scores 1–4; zone 2, RPE scores 5–6; zone 3, RPE scores 7–10. Results:Training-intensity distributions as percentages of time spent in zones 1, 2, and 3 were moderate to very largely different for RPE (44.9%, 29.9%, 25.2%) compared with HR (86.8%, 8.8%, 4.4%) and PO (79.5%, 9.0%, 11.5%). Time in zone 1 quantified using RPE was largely to very largely lower for RPE than PO (P < .001) and HR (P < .001). Time in zones 2 and 3 was moderately to very largely higher when quantified using RPE compared with intensity quantified using HR (P < .001) and PO (P < .001). Conclusions:Training-intensity distribution quantified using RPE demonstrates moderate to very large differences compared with intensity distributions quantified based on HR and PO. The choice of intensity measure affects intensity distribution and has implications for training-load quantification, training prescription, and the evaluation of training characteristics.

Quantifying Training Intensity Distribution in a Group of Norwegian Professional Soccer Players

2011 ◽  
Vol 6 (1) ◽  
pp. 70-81 ◽  
Author(s):  
Erling A. Algrøy ◽  
Ken J. Hetlelid ◽  
Stephen Seiler ◽  
Jørg I. Stray Pedersen
Keyword(s):  
Heart Rate ◽  
Standardized Testing ◽  
Intensity Distribution ◽  
Perceived Exertion ◽  
Maximal Oxygen Consumption ◽  
Rating Of Perceived Exertion ◽  
Soccer Players ◽  
Maximal Heart Rate ◽  
Training Intensity ◽  
Professional Soccer

Purpose:This study was designed to quantify the daily distribution of training intensity in a group of professional soccer players in Norway based on three different methods of training intensity quantification.Methods:Fifteen male athletes (age, 24 ± 5 y) performed treadmill test to exhaustion to determine heart rate and VO2 corresponding to ventilatory thresholds (VT1, VT2), maximal oxygen consumption (VO2max) and maximal heart rate. VT1 and VT2 were used to delineate three intensity zones based on heart rate. During a 4 wk period in the preseason (N = 15), and two separate weeks late in the season (N = 11), all endurance and on-ball training sessions (preseason: N = 378, season: N= 78) were quantified using continuous heart rate registration and session rating of perceived exertion (sRPE). Three different methods were used to quantify the intensity distribution: time in zone, session goal and sRPE.Results:Intensity distributions across all sessions were similar when based on session goal or by sRPE. However, intensity distribution based on heart rate cut-offs from standardized testing was significantly different (time in zone).Conclusions:Our findings suggest that quantifying training intensity by using heart rate based total time in zone is not valid for describing the effective training intensity in soccer. The results also suggest that the daily training intensity distribution in this representative group of high level Norwegian soccer players is organized after a pattern where about the same numbers of training sessions are performed in low lactate, lactate threshold, and high intensity training zones.

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