scholarly journals Perceived Training Load, Muscle Soreness, Stress, Fatigue, and Sleep Quality in Professional Basketball: A Full Season Study

2019 ◽  
Vol 67 (1) ◽  
pp. 199-207 ◽  
Author(s):  
Filipe Manuel Clemente ◽  
Bruno Mendes ◽  
Sarah da Glória Teles Bredt ◽  
Gibson Moreira Praça ◽  
André Silvério ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Muscle Soreness ◽  
Training Session ◽  
Training Load ◽  
Basketball Players ◽  
Professional Basketball ◽  
Moderate Effect ◽  
Stress Fatigue

AbstractThis study aimed to compare the perceived training load (session-RPE) and wellness status (muscle soreness, stress, fatigue, and sleep quality) within and between regular (one-match) and congested (two matches) weeks. Fifteen professional basketball players from a European First league club participated in this study. Wellness status (Hooper’s questionnaire) and perceived training loads (session-RPE) were measured for each training session and matches over a full season. Regular weeks presented moderately greater session-RPE than congested weeks (p = 0.201; d = 2.15, moderate effect). Both regular and congested weeks presented a decrease in perceived training load before matches, which was accompanied by improved wellness status on a match day. Congested weeks presented moderately lower sleep quality (p = 0.421; d = 1.320, moderate effect) and moderately greater fatigue (p = 0.468; d = 1.401, moderate effect) than regular weeks. Regular and congested weeks presented minimum differences for DOMS and stress. Lower wellness in congested weeks may be associated to an accumulative effect of training and match loads. Tapering phases before matches seem to play an important role for improving athletes’ wellness and preventing overtraining.

scholarly journals Relationships between wellness status and perceived training load on daily and weekly bases over a basketball season

Kinesiology ◽  
2020 ◽  
Vol 52 (1) ◽  
pp. 151-156
Author(s):  
Filipe Manuel Clemente ◽  
Sarah Glória Teles Bredt ◽  
Gibson Moreira Praça ◽  
Emanuel Duarte ◽  
Bruno Mendes
Keyword(s):  
Sleep Quality ◽  
Physiological Response ◽  
Muscle Soreness ◽  
Training Session ◽  
Training Load ◽  
Basketball Players ◽  
Professional Basketball ◽  
Delayed Onset ◽  
Stress Fatigue ◽  
The Impact

This study aimed to determine the relationships between internal training load (session-RPE) and wellness status (delayed onset muscle soreness – DOMS, stress, fatigue, and sleep quality) on both daily and weekly bases over a basketball season. Fifteen professional basketball players provided their wellness status and perceived training load for all training sessions and matches over a season. Daily correlations were based on the perceived load of a training session/match and the wellness status rated on the following day (before the next session). Weekly correlations were based on the sum of all ratings of the week for each variable. Results showed that DOMS and fatigue presented higher correlations with session-RPE than stress and sleep quality on both daily and weekly analyses. Daily measures presented small-to-moderate correlations between the perceived training load and wellness categories over the months. Weekly correlations increased (moderate-tolarge) for all wellness categories, except for stress. We concluded that DOMS and fatigue are more associated to session-RPE than stress and sleep quality in professional basketball players. Weekly analyses may help coaches to better understand the impact of training load on athletes’ physical wellness (DOMS and fatigue), possibly due to a delayed physiological response to training load.

scholarly journals Variations of workload and well-being measures across a professional basketball season

2021 ◽  
Vol 23 ◽  
Author(s):  
Mónica Ferreira ◽  
Miguel Camões ◽  
Ricardo Franco Lima ◽  
Rui Silva ◽  
Henrique de Oliveira Castro ◽  
...  
Keyword(s):  
Muscle Soreness ◽  
Well Being ◽  
Borg Scale ◽  
Basketball Players ◽  
Internal Load ◽  
Early Season ◽  
Professional Basketball ◽  
Delayed Onset ◽  
European Club ◽  
Second Period

Abstract The aims of this study were: (i) to describe weekly variations of acute load (AL), acute:chronic workload ratio, delayed onset muscle soreness (DOMS), and fatigue; (ii) to analyze variations of weekly workload and well-being in three periods of the season (P1, P2, and P3); and (iii) to analyze the relationships between workload and well-being measures. Fifteen professional basketball players from a first-league European club were monitored throughout the season using the CR-10 Borg scale and the Hooper questionnaire. Weekly AL and acute:chronic workload ratio (ACWR) were weekly calculated for monitoring of the internal load. In addition, DOMS and fatigue values were weekly calculated. Greater AL, DOMS, and fatigue values were found during the early season, and the highest ACWR value was found during the second period. Overall, AL presented large correlations with DOMS (r=0.60) and fatigue (r=0.62). The results of this study indicate that load is higher in the first period and then decreases throughout the season. The results also showed that AL is more closely related to well-being parameters than ACWR.

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

2017 ◽  
Vol 12 (s2) ◽  
pp. S2-107-S2-113 ◽  
Author(s):  
Robin T. Thorpe ◽  
Anthony J. Strudwick ◽  
Martin Buchheit ◽  
Greg Atkinson ◽  
Barry Drust ◽  
...  
Keyword(s):  
Heart Rate ◽  
Sleep Quality ◽  
High Speed ◽  
Muscle Soreness ◽  
Linear Models ◽  
Heart Rate Recovery ◽  
Training Load ◽  
Soccer Players ◽  
Daily Training ◽  
Submaximal Heart Rate

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.

The Relationships Between Training Load, Type of Sport, and Sleep Among High-Level Adolescent Athletes

2020 ◽  
pp. 1-10
Author(s):  
Anis Aloulou ◽  
Francois Duforez ◽  
Damien Léger ◽  
Quentin De Larochelambert ◽  
Mathieu Nedelec
Keyword(s):  
Sleep Quality ◽  
Muscle Soreness ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Training Load ◽  
Academic Environment ◽  
Adolescent Athletes ◽  
Daily Training ◽  
High Level ◽  
Age And Sex

Purpose: To evaluate the effects of sporting activities, training loads, and athletes’ characteristics on sleep among high-level adolescent athletes, in a controlled training and academic environment. Methods: A total of 128 high-level adolescent athletes (age = 15.2 [2.0] y), across 9 different sports, completed common sleep questionnaires and were monitored daily (7.3 [2.7] d) during a typical in-season training period. Sleep was analyzed using actigraphy and sleep diaries, whereas training load was evaluated using the session rating of perceived exertion, and muscle soreness and general fatigue were reported with the aid of visual analog scales. Separate linear mixed-effects models were fitted, including the athlete as a random effect and the following variables as fixed effects: the sport practiced (categorical predictor), daily training load, age, and sex. Different models were used to compare sleep variables among sports and to assess the influence of training load, age, and sex. Results: The mean total sleep time was 7.1 (0.7) hours. Swimmers presented increased sleep fragmentation, training loads, perceived muscle soreness, and general fatigue compared with athletes who engaged in other sports. Independent of any sport-specific effects, a higher daily training load induced an earlier bedtime and reduced total sleep time and perceived sleep quality, with higher sleep fragmentation. Moreover, female athletes experienced increased total sleep time and worse sleep quality in response to stress compared with those in males. Conclusion: In a controlled training and academic environment, high-level adolescent athletes did not achieve the recommended sleep duration. Impaired sleep quality and quantity could be partially explained by increased training loads.

Defensive Strategy and Player Sex Impact Heart-Rate Responses During Games-Based Drills in Professional Basketball

2020 ◽  
pp. 1-7
Author(s):  
David Suárez-Iglesias ◽  
Rubén Dehesa ◽  
Aaron T. Scanlan ◽  
José A. Rodríguez-Marroyo ◽  
Alejandro Vaquera
Keyword(s):  
Heart Rate ◽  
Training Stimulus ◽  
Training Load ◽  
Defensive Strategy ◽  
Basketball Players ◽  
Professional Basketball ◽  
Defensive Strategies ◽  
Cardiovascular Stress ◽  
The Impact ◽  
And Training

Purpose: Games-based drills (GBD) are the predominant form of training stimulus prescribed to male and female basketball players. Despite being readily manipulated during GBD, the impact of defensive strategy on the sex-specific demands of GBD remains unknown. Therefore, the aim of this study was to quantify and compare the heart-rate (HR) responses experienced during 5v5 GBD using different defensive strategies (man-to-man defense vs zone defense [ZD] formations) according to player sex. Method: HR was recorded in 11 professional male and 10 professional female basketball players while performing 5v5 GBD with different defensive strategies (man-to-man defense or ZD). HR-based training load was also calculated using the summated heart-rate zones model. Results: During man-to-man defense, mean HR (), relative time (in percentage) spent working at 90% to 100% maximal HR (), and summated heart-rate zones () were greater (P < .05) in female players compared with males. During ZD, higher (P < .01) peak HR (), mean HR (), relative and absolute (in minutes) time spent working at 80% to 89% maximal HR ( and .03, respectively) and 90% to 100% maximal HR ( and .09, respectively), and summated heart-rate zones () were observed in female players compared with males. Conclusions: The defensive strategy employed during 5v5 full-court GBD influences HR responses and training load differently according to sex, where female players experience higher HR responses than males, especially when ZD are adopted. Basketball coaching staff can use these findings for the precise manipulation of team defenses during GBD to elicit desired cardiovascular stress on players.

Relationship Between Pretraining Subjective Wellness Measures, Player Load, and Rating-of-Perceived-Exertion Training Load in American College Football

2018 ◽  
Vol 13 (1) ◽  
pp. 95-101 ◽  
Author(s):  
Andrew D. Govus ◽  
Aaron Coutts ◽  
Rob Duffield ◽  
Andrew Murray ◽  
Hugh Fullagar
Keyword(s):  
Muscle Soreness ◽  
Perceived Exertion ◽  
Training Session ◽  
College Football ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Football Players ◽  
Unit Increase ◽  
Relationship Of ◽  
The Relationship

Context:The relationship between pretraining subjective wellness and external and internal training load in American college football is unclear.Purpose:To examine the relationship of pretraining subjective wellness (sleep quality, muscle soreness, energy, wellness Z score) with player load and session rating of perceived exertion (s-RPE-TL) in American college football players.Methods:Subjective wellness (measured using 5-point, Likert-scale questionnaires), external load (derived from GPS and accelerometry), and s-RPE-TL were collected during 3 typical training sessions per week for the second half of an American college football season (8 wk). The relationship of pretraining subjective wellness with player load and s-RPE training load was analyzed using linear mixed models with a random intercept for athlete and a random slope for training session. Standardized mean differences (SMDs) denote the effect magnitude.Results:A 1-unit increase in wellnessZscore and energy was associated with trivial 2.3% (90% confidence interval [CI] 0.5, 4.2; SMD 0.12) and 2.6% (90% CI 0.1, 5.2; SMD 0.13) increases in player load, respectively. A 1-unit increase in muscle soreness (players felt less sore) corresponded to a trivial 4.4% (90% CI −8.4, −0.3; SMD −0.05) decrease in s-RPE training load.Conclusion:Measuring pretraining subjective wellness may provide information about players’ capacity to perform in a training session and could be a key determinant of their response to the imposed training demands American college football. Hence, monitoring subjective wellness may aid in the individualization of training prescription in American college football players.

The effects of defensive style and final game outcome on the external training load of professional basketball players

2021 ◽  
Author(s):  
Daniel Castillo ◽  
Javier Raya-González ◽  
Filipe Clemente ◽  
Daniele Conte ◽  
Alejandro Rodríguez-Fernández
Keyword(s):  
Training Load ◽  
Basketball Players ◽  
Professional Basketball ◽  
Game Outcome ◽  
External Training ◽  
Defensive Style

scholarly journals Association between Training Load and Well-Being Measures in Young Soccer Players during a Season

2021 ◽  
Vol 18 (9) ◽  
pp. 4451
Author(s):  
Hadi Nobari ◽  
Ana Ruivo Alves ◽  
Hamed Haghighi ◽  
Filipe Manuel Clemente ◽  
Jorge Carlos-Vivas ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Muscle Soreness ◽  
Well Being ◽  
Delayed Onset Muscle Soreness ◽  
Training Load ◽  
Soccer Players ◽  
Moderate Correlation ◽  
Delayed Onset ◽  
Large Correlation

This study aimed to analyze the correlations among weekly (w) acute workload (wAW), chronic workload (wCW), acute/chronic workload ratio (wACWR), training monotony (wTM), training strain (wTS), sleep quality (wSleep), delayed onset muscle soreness (wDOMS), fatigue (wFatigue), stress (wStress), and Hooper index (wHI) in pre-, early, mid-, and end-of-season. Twenty-one elite soccer players (age: 16.1 ± 0.2 years) were monitored weekly on training load and well-being for 36 weeks. Higher variability in wAW (39.2%), wFatigue (84.4%), wStress (174.3%), and wHI (76.3%) at the end-of-season were reported. At mid-season, higher variations in wSleep (59.8%), TM (57.6%), and TS (111.1%) were observed. Moderate to very large correlations wAW with wDOMS (r = 0.617, p = 0.007), wFatigue, wStress, and wHI were presented. Similarly, wCW reported a meaningful large association with wDOMS (r = 0.526, p < 0.001); moderate to very large associations with wFatigue (r = 0.649, p = 0.005), wStress, and wHI. Moreover, wTM presented a large correlation with wSleep (r = 0.515, p < 0.001); and a negatively small association with wStress (r = −0.426, p = 0.003). wTS showed a small to large correlation with wSleep (r = 0.400, p = 0.005) and wHI; also, a large correlation with wDOMS (r = 0.556, p = 0.028) and a moderate correlation with wFatigue (r = 0.343, p = 0.017). Wellness status may be considered a useful tool to provide determinant elite players’ information to coaches and to identify important variations in training responses.

The Relationship Between Training Load and Injury in Men’s Professional Basketball

2017 ◽  
Vol 12 (9) ◽  
pp. 1238-1242 ◽  
Author(s):  
Kaitlyn J. Weiss ◽  
Sian V. Allen ◽  
Mike R. McGuigan ◽  
Chris S. Whatman
Keyword(s):  
Regression Model ◽  
Perceived Exertion ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Self Report ◽  
Basketball Players ◽  
Professional Basketball ◽  
Trauma Research ◽  
Mean Differences ◽  
The Relationship

Purpose:To establish the relationship between the acute:chronic workload ratio and lower-extremity overuse injuries in professional basketball players over the course of a competitive season. Methods:The acute:chronic workload ratio was determined by calculating the sum of the current week’s session rating of perceived exertion of training load (acute load) and dividing it by the average weekly training load over the previous 4 wk (chronic load). All injuries were recorded weekly using a self-report injury questionnaire (Oslo Sports Trauma Research Center Injury Questionnaire20). Workload ratios were modeled against injury data using a logistic-regression model with unique intercepts for each player. Results:Substantially fewer team members were injured after workload ratios of 1 to 1.49 (36%) than with very low (≤0.5; 54%), low (0.5–0.99; 51%), or high (≥1.5; 59%) workload ratios. The regression model provided unique workload–injury trends for each player, but all mean differences in likelihood of being injured between workload ratios were unclear. Conclusions:Maintaining workload ratios of 1 to 1.5 may be optimal for athlete preparation in professional basketball. An individualized approach to modeling and monitoring the training load–injury relationship, along with a symptom-based injury-surveillance method, should help coaches and performance staff with individualized training-load planning and prescription and with developing athlete-specific recovery and rehabilitation strategies.

Postmatch Perceived Exertion, Feeling, and Wellness in Professional Soccer Players

2018 ◽  
Vol 13 (5) ◽  
pp. 631-637 ◽  
Author(s):  
Mohamed Saifeddin Fessi ◽  
Wassim Moalla
Keyword(s):  
Sleep Quality ◽  
Muscle Soreness ◽  
Perceived Exertion ◽  
Rating Of Perceived Exertion ◽  
Soccer Players ◽  
Small Magnitude ◽  
Professional Soccer ◽  
Small Change ◽  
Stress Fatigue ◽  
Perceived Sleep Quality

Purpose: To assess postmatch perceived exertion, feeling, and wellness according to the match outcome (winning, drawing, or losing) in professional soccer players. Methods: In total, 12 outfield players were followed during 52 official matches where the outcomes (win, draw, or lose) were noted. Following each match, players completed both a 10-point Borg scale modified by Foster and an 11-point Hardy and Rejeski scale rating of perceived feeling. Rating of perceived sleep quality, stress, fatigue, and muscle soreness was collected separately on a 7-point scale the day following each match. Results: Player rating of perceived exertion was higher by a very large magnitude following a loss compared with a draw or a win and higher by a small magnitude after a draw compared with a win. Players felt more pleasure after a win compared with a draw or loss and more displeasure after a loss compared with draw. The players reported a largely and moderately better perceived sleep quality, less stress, and fatigue following a win compared with a draw or a loss and a moderately bad perceived sleep quality, higher stress, and fatigue following a draw compared with a loss. In contrast, only a trivial-small change was observed in perceived muscle soreness between all outcomes. Conclusion: Match outcomes moderately to largely affect rating of perceived exertion, feeling, sleep quality, stress, and fatigue, whereas perceived muscle soreness remains high regardless of the match outcome. However, winning a match decreases the strain and improves both pleasure and wellness in professional soccer players.

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