Monitoring Workload in Elite Female Basketball Players During the In-Season Phase: Weekly Fluctuations and Effect of Playing Time

2019 ◽  
Vol 14 (7) ◽  
pp. 941-948 ◽  
Author(s):  
Henrikas Paulauskas ◽  
Rasa Kreivyte ◽  
Aaron T. Scanlan ◽  
Alexandre Moreira ◽  
Laimonas Siupsinskas ◽  
...  
Keyword(s):  
Perceived Exertion ◽  
Linear Models ◽  
Training Session ◽  
Rating Of Perceived Exertion ◽  
Basketball Players ◽  
Significant Difference ◽  
Women's Basketball ◽  
Playing Time ◽  
And Training ◽  
Basketball Teams

Purpose:To assess the weekly fluctuations in workload and differences in workload according to playing time in elite female basketball players.Methods:A total of 29 female basketball players (mean [SD] age 21 [5] y, stature 181 [7] cm, body mass 71 [7] kg, playing experience 12 [5] y) belonging to the 7 women’s basketball teams competing in the first-division Lithuanian Women’s Basketball League were recruited. Individualized training loads (TLs) and game loads (GLs) were assessed using the session rating of perceived exertion after each training session and game during the entire in-season phase (24 wk). Percentage changes in total weekly TL (weekly TL + GL), weekly TL, weekly GL, chronic workload, acute:chronic workload ratio, training monotony, and training strain were calculated. Mixed linear models were used to assess differences for each dependent variable, with playing time (low vs high) used as fixed factor and subject, week, and team as random factors.Results:The highest changes in total weekly TL, weekly TL, and acute:chronic workload ratio were evident in week 13 (47%, 120%, and 49%, respectively). Chronic workload showed weekly changes ≤10%, whereas monotony and training strain registered highest fluctuations in weeks 17 (34%) and 15 (59%), respectively. A statistically significant difference in GL was evident between players completing low and high playing times (P = .026, moderate), whereas no significant differences (P > .05) were found for all other dependent variables.Conclusions:Coaches of elite women’s basketball teams should monitor weekly changes in workload during the in-season phase to identify weeks that may predispose players to unwanted spikes and adjust player workload according to playing time.

scholarly journals Managing Load to Optimize Well-Being and Recovery During Short-Term Match Congestion in Elite Basketball

2021 ◽  
Vol 16 (1) ◽  
pp. 45-50
Author(s):  
Steven H. Doeven ◽  
Michel S. Brink ◽  
Barbara C.H. Huijgen ◽  
Johan de Jong ◽  
Koen A.P.M. Lemmink
Keyword(s):  
Perceived Exertion ◽  
Training Session ◽  
Well Being ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Total Quality ◽  
Short Term ◽  
Basketball Players ◽  
Total Load ◽  
And Training

In elite basketball, players are exposed to intensified competition periods when participating in both national and international competitions. How coaches manage training between matches and in reference to match scheduling for a full season is not yet known. Purpose: First, to compare load during short-term match congestion (ie, ≥2-match weeks) with regular competition (ie, 1-match weeks) in elite male professional basketball players. Second, to determine changes in well-being, recovery, neuromuscular performance, and injuries and illnesses between short-term match congestion and regular competition. Methods: Sixteen basketball players (age 24.8 [2.0] y, height 195.8 [7.5] cm, weight 94.8 [14.0] kg, body fat 11.9% [5.0%], VO2max 51.9 [5.3] mL·kg−1·min−1) were monitored during a full season. Session rating of perceived exertion (s-RPE) was obtained, and load was calculated (s-RPE × duration) for each training session or match. Perceived well-being (fatigue, sleep quality, general muscle soreness, stress levels, and mood) and total quality of recovery were assessed each training day. Countermovement jump height was measured, and a list of injuries and illnesses was collected weekly using the adapted Oslo Sports Trauma Research Center Questionnaire on Health Problems. Results: Total load (training sessions and matches; P < .001) and training load (P < .001) were significantly lower for ≥2-match weeks. Significantly higher well-being (P = .01) and less fatigue (P = .001) were found during ≥2-match weeks compared with 1-match weeks. Conclusion: Total load and training load were lower during short-term match congestion compared with regular competition. Furthermore, better well-being and less fatigue were demonstrated within short-term match congestion. This might indicate that coaches tend to overcompensate training load in intensified competition.

scholarly journals Use of Session Rating of Perceived Exertion for Monitoring Resistance Exercise in Children Who Are Overweight or Obese

2008 ◽  
Vol 20 (3) ◽  
pp. 333-341 ◽  
Author(s):  
Michael R. McGuigan ◽  
Abdulaziz Al Dayel ◽  
David Tod ◽  
Carl Foster ◽  
Robert U. Newton ◽  
...  
Keyword(s):  
Resistance Training ◽  
Resistance Exercise ◽  
Correlation Coefficient ◽  
Perceived Exertion ◽  
Training Session ◽  
Rating Of Perceived Exertion ◽  
Exercise Session ◽  
Significant Difference ◽  
Resistance Exercises ◽  
Single Set

The purpose of this study was to investigate the use of the OMNI Resistance Exercise scale (OMNI-RES) for monitoring the intensity of different modes of resistance training in children who are overweight or obese. Sixty-one children (mean age = 9.7 ± 1.4 years) performed three resistance training sessions every week for 4 weeks. Each session consisted of three sets of 3–15 repetitions of eight different resistance exercises. OMNI-RES RPE measures (0–10) were obtained following each set and following the end of the exercise session. There was a significant difference between average RPE (1.68 ± 0.61) and Session RPE (3.10 ± 1.18) during the 4 weeks of training (p < .05). There was no significant change in session RPE over the 4 weeks of training. The correlation coefficient between average and session RPE values was significant (r = .88, p < .05). The findings of the current study indicate that the RPE values are higher when OMNI-RES measures are obtained following the whole training session than when obtained following every single set of exercise. This suggests that in children the session RPE provides different information to the average RPE across the entire session.

scholarly journals Coaches’ and Young soccer players' training load perceptions during different training phases

2019 ◽  
Author(s):  
Diogo Hilgemberg Figueiredo ◽  
Diego Hilgemberg Figueiredo ◽  
Francisco De Assis Manoel ◽  
Helcio Rossi Gonçalves ◽  
Antonio Carlos Dourado
Keyword(s):  
Linear Regression ◽  
Perceived Exertion ◽  
Training Session ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Soccer Players ◽  
Training Period ◽  
Stepwise Linear Regression ◽  
Large Correlation ◽  
And Training

Objective: To our Knowledge, information about the agreement between coaches’ and the young soccer players’ session rating of perceived exertion is not consistent during specific periods of training (intensification and taper) and has not been established. The purpose of this study was to examine and compare the internal training load and session rating of perceived exertion between coaches’ and young soccer players’ during three weeks in different training phases. Method: Participants were 16 male elite Under19 soccer players and their coaches. Before each training session, the coaches reported a session rating of perceived exertion using the Borg CR-10 scale as well as the planned duration (min) of the training based on prior planning, while the athletes responded the scale after each training session. Results: No differences in intensity session rating of perceived exertion (t = 0.49; p = 0.62) and training load (t = 0.18; p = 0.86) were observed between coaches and players during the training period analyzed. During different training phases, no significant differences were found during intensification (t = 0.18; p = 0.85) and taper (t = -0.19; p = 0.85) in training loads and in the session rating of perceived exertion prescribed by coaches and perceived by players. A very large correlation was observed between coaches training load (r= 0.84) and players training load. However, a trivial correlation was found between players training load and changes in the Yo-yo IR1 performance (r= -0.09), age (r= -0.06) and years of competitive experience (r= -0.08). Stepwise linear regression revealed that coaches training load (F1; 238= 582.7; R2= 0.710; p<0.001) explained 71% of the variance in players training load. Conclusion: The results suggest that the session rating of perceived exertion and training load prescribed during three weeks in different training phases (by coaches) was not different from perceived by young soccer players. Moreover, coaches training load seem to be effective to predict the training load in soccer players.

scholarly journals Perceived training load and jumping responses following nine weeks of a competitive period in young female basketball players

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5225 ◽  
Author(s):  
Igor de Freitas Cruz ◽  
Lucas Adriano Pereira ◽  
Ronaldo Kobal ◽  
Katia Kitamura ◽  
Cristiano Cedra ◽  
...  
Keyword(s):  
Perceived Exertion ◽  
Training Session ◽  
Young Female ◽  
Rating Of Perceived Exertion ◽  
Multivariate Approach ◽  
Total Quality ◽  
Countermovement Jump ◽  
Young Athletes ◽  
Basketball Players ◽  
Weekly Training

The aims of this study were to describe the session rating of perceived exertion (sRPE), total quality recovery (TQR), and variations in countermovement jump (CMJ) height throughout nine weeks of a competitive period in young female basketball players. In total, 10 young female basketball players (17.2 ± 0.4 years; 71.8 ± 15.0 kg; 177.2 ± 9.5 cm) participated in this study. The sRPE and TQR were assessed in each training session, whereas the CMJ height was assessed prior to the first weekly training session. The magnitude-based inferences method was used to compare the sRPE, TQR, and CMJ height across the nine weeks of training. The training loads accumulated in weeks 1, 2, and 3 were likely to almost certainly be higher than in the following weeks (ES varying from 0.67 to 2.55). The CMJ height in week 1 was very likely to be lower than in weeks 2, 5, 7, and 8 (ES varying from 0.24 to 0.34), while the CMJ height of the 9th week was likely to almost certainly be higher than all previous weeks of training (ES varying from 0.70 to 1.10). Accordingly, it was observed that when higher training loads were accumulated, both CMJ and TQR presented lower values than those presented during periods with lower internal training loads. These results highlight the importance of using a comprehensive and multivariate approach to effectively monitor the physical performance of young athletes.

scholarly journals Impaired Player–Coach Perceptions of Exertion and Recovery During Match Congestion

2017 ◽  
Vol 12 (9) ◽  
pp. 1151-1156 ◽  
Author(s):  
Steven H. Doeven ◽  
Michel S. Brink ◽  
Wouter G.P. Frencken ◽  
Koen A.P.M. Lemmink
Keyword(s):  
Perceived Exertion ◽  
Training Session ◽  
Rating Of Perceived Exertion ◽  
Total Quality ◽  
Basketball Players ◽  
Subsequent Recovery ◽  
Professional Basketball ◽  
Quality Of Recovery ◽  
Degree Of Recovery

During intensified phases of competition, attunement of exertion and recovery is crucial to maintain performance. Although a mismatch between coach and player perceptions of training load is demonstrated, it is unknown if these discrepancies also exist for match exertion and recovery. Purpose:To determine match exertion and subsequent recovery and to investigate the extent to which the coach is able to estimate players’ match exertion and recovery. Methods:Rating of perceived exertion (RPE) and total quality of recovery (TQR) of 14 professional basketball players (age 26.7 ± 3.8 y, height 197.2 ± 9.1 cm, weight 100.3 ± 15.2 kg, body fat 10.3% ± 3.6%) were compared with observations of the coach. During an in-season phase of 15 matches within 6 wk, players gave RPEs after each match. TQR scores were filled out before the first training session after the match. The coach rated observed exertion (ROE) and recovery (TQ-OR) of the players. Results:RPE was lower than ROE (15.6 ± 2.3 and 16.1 ± 1.4; P = .029). Furthermore, TQR was lower than TQ-OR (12.7 ± 3.0 and 15.3 ± 1.3; P < .001). Correlations between coach- and player-perceived exertion and recovery were r = .25 and r = .21, respectively. For recovery within 1 d the correlation was r = .68, but for recovery after 1–2 d no association existed. Conclusion:Players perceive match exertion as hard to very hard and subsequent recovery reasonable. The coach overestimates match exertion and underestimates degree of recovery. Correspondence between coach and players is thus not optimal. This mismatch potentially leads to inadequate planning of training sessions and decreases in performance during fixture congestion in basketball.

Coaches’ and Players’ Perceptions of Training Dose: Not a Perfect Match

2014 ◽  
Vol 9 (3) ◽  
pp. 497-502 ◽  
Author(s):  
Michel S. Brink ◽  
Wouter G.P. Frencken ◽  
Geir Jordet ◽  
Koen A.P.M. Lemmink
Keyword(s):  
Perceived Exertion ◽  
Perfect Match ◽  
Training Session ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Soccer Players ◽  
Training Dose ◽  
Percentage Body Fat ◽  
Professional Soccer ◽  
And Training

Purpose:The aim of the current study was to investigate and compare coaches’ and players’ perceptions of training dose for a full competitive season.Methods:Session rating of perceived exertion (RPE), duration, and training load (session RPE × duration) of 33 professional soccer players (height 178.2 ± 6.6 cm, weight 70.5 ± 6.4 kg, percentage body fat 12.2 ± 1.6) from an under-19 and under-17 (U17) squad were compared with the planned periodization of their professional coaches. Before training, coaches filled in the session rating of intended exertion (RIE) and duration (min) for each player. Players rated session RPE and training duration after each training session.Results:Players perceived their intensity and training load (2446 sessions in total) as significantly harder than what was intended by their coaches (P < .0001). The correlations between coaches’ and players’ intensity (r = .24), duration (r = .49), and load (r = .41) were weak (P < .0001). Furthermore, for coach-intended easy and intermediate training days, players reported higher intensity and training load (P < .0001). For hard days as intended by the coach, players reported lower intensity, duration, and training load (P < .0001). Finally, first-year players from the U17 squad perceived training sessions as harder than second-year players (P < .0001).Conclusion:The results indicate that young elite soccer players perceive training as harder than what was intended by the coach. These differences could lead to maladaptation to training. Monitoring of the planned and perceived training load of coaches and players may optimize performance and prevent players from overtraining.

scholarly journals Psychological States and Training Habits during the COVID-19 Pandemic Lockdown in Spanish Basketball Athletes

2021 ◽  
Vol 18 (17) ◽  
pp. 9025 ◽  
Author(s):  
Jorge Lorenzo Calvo ◽  
Miriam Granado-Peinado ◽  
Alfonso de la Rubia ◽  
Diego Muriarte ◽  
Alberto Lorenzo ◽  
...  
Keyword(s):  
Online Survey ◽  
Perceived Exertion ◽  
Rating Of Perceived Exertion ◽  
Sleep Habits ◽  
Basketball Players ◽  
Psychological States ◽  
Emotional Appraisal ◽  
Training Habits ◽  
The Impact ◽  
And Training

The outbreak of the COVID-19 pandemic and the resulting restrictions designed to slow the spread of infection greatly disrupted people’s lives. The present study aimed to investigate the impact of lockdown on the psychology, training, and sleep habits of a cohort of basketball players. An online survey involving 169 professional and amateur athletes was conducted using four validated psychological questionnaires (WLEIS-S, POMS, BRS, SMS-II) and a Likert scale to measure the rating of perceived exertion (RPE) and training variables. Gender differences in fatigue (p = 0.022); friendships (p = 0.017); others’ emotional appraisal (p < 0.001); and resilience (p = 0.031) were apparent, with higher values for women in all categories bar resilience. Comparisons before and during the lockdown revealed that all participants reduced their RPE (p < 0.001); training days (p = 0.004); and training hours (p < 0.001), and experienced a decline in the quality of sleep (p < 0.001). Sleep hours (p < 0.001) increased during lockdown. The professionals and females maintained their training days (p > 0.05), while the non-professionals and males did not. Psychological states during lockdown were a predictor of the differences in training and recovery variables. In situations where training and competition are limited, it is important to develop plans to maintain physical activity, good quality sleep, and promote greater emotional management and understanding to control negative moods.

Effectiveness of daily subjective wellness measurements via mobile applications in predicting perceived exertion and training load

2021 ◽  
pp. 175433712110490
Author(s):  
Montgomery Bertschy ◽  
Jeffrey T Howard ◽  
Sakiko Oyama ◽  
Tianou Zhang ◽  
Kelly Cheever
Keyword(s):  
Mobile Application ◽  
Perceived Exertion ◽  
Training Session ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Student Athlete ◽  
Internal Load ◽  
Point Increase ◽  
Time Distance ◽  
And Training

This study aimed to examine the effectiveness of presession subjective wellness, measured by a mobile application, in predicting the rating of perceived exertion (RPE) and training load for collegiate female soccer players throughout all training sessions of a competitive season. Thirty-three training sessions over 10 weeks involving 23 subjects were analyzed. Before each training session, players self-reported wellness measurements (sleep quality, stress, mood, soreness, fatigue, and sleep duration) through a mobile application questionnaire. Training load (active time, distance, GPS session load, and sprint score) was measured by GPS. RPE was self-reported immediately after training sessions. Generalized estimating equations found that presession wellness scores had a significant effect on postsession RPE. A 1 point increase in the wellness score corresponded with a significant increase in RPE ([Formula: see text] = 0.4[Formula: see text], 95% CI (0.05–0.91), p = 0.029). Wellness component of mood had a significant effect on RPE as noted by a 1 SD increase that corresponded to an increase in RPE ([Formula: see text] = 0.[Formula: see text], 95% CI (0.07–0.30), p = 0.001). Psychosocial component of wellness (mood) played the most influential role in predicting RPE. The results suggest that monitoring student-athlete wellness may be helpful in regulating player internal load, and increasing player mood may also lower internal load.

Weekly Fluctuations in Salivary Hormone Responses and Their Relationships With Load and Well-Being in Semiprofessional, Male Basketball Players During a Congested In-Season Phase

2021 ◽  
pp. 1-7
Author(s):  
Paulius Kamarauskas ◽  
Inga Lukonaitienė ◽  
Aaron T. Scanlan ◽  
Davide Ferioli ◽  
Henrikas Paulauskas ◽  
...  
Keyword(s):  
Perceived Exertion ◽  
Training Session ◽  
Well Being ◽  
Rating Of Perceived Exertion ◽  
Hormonal Changes ◽  
Basketball Players ◽  
Hormonal Responses ◽  
Significant Relationships ◽  
Hormone Balance ◽  
Hormone Responses

Purpose: To assess weekly fluctuations in hormonal responses and their relationships with load and well-being during a congested in-season phase in basketball players. Methods: Ten semiprofessional, male basketball players were monitored during 4 congested in-season phase weeks consisting of 3 weekly matches. Salivary hormone variables (testosterone [T], cortisol [C], and T:C ratio) were measured weekly, and external load (PlayerLoad™ and PlayerLoad per minute), internal load session rating of perceived exertion, percentage of maximum heart rate (HR), summated HR zones, and well-being were assessed for each training session and match. Results: Significant (P < .05) moderate to large decreases in T were found in the third and fourth weeks compared with the first week. Nonsignificant moderate to large decreases in C were apparent in the last 2 weeks compared with previous weeks. Summated HR zones and perceived sleep significantly (P < .05) decreased in the fourth week compared with the first week; whereas, percentage of maximum HR significantly (P < .05) decreased in the fourth week compared with the second week. No significant relationships were found between weekly changes in hormonal responses and weekly changes in load and overall wellness. Conclusions: A congested schedule during the in-season negatively impacted the hormonal responses of players, suggesting that T and C measurements may be useful to detect fluctuations in hormone balance in such scenarios. The nonsignificant relationships between weekly changes in hormonal responses and changes in load and well-being indicate that other factors might induce hormonal changes across congested periods in basketball players.

scholarly journals Investigation of the Relationship Between Salivary Cortisol, Training Load, and Subjective Markers of Recovery in Elite Rugby Union Players

2020 ◽  
Vol 15 (1) ◽  
pp. 113-118 ◽  
Author(s):  
Caoimhe Tiernan ◽  
Mark Lyons ◽  
Tom Comyns ◽  
Alan M. Nevill ◽  
Giles Warrington
Keyword(s):  
Salivary Cortisol ◽  
Perceived Exertion ◽  
Physiological Stress ◽  
Training Session ◽  
Rugby Union ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Training Period ◽  
Training Performance ◽  
And Training

Purpose: Insufficient recovery can lead to a decrease in performance and increase the risk of injury and illness. The aim of this study was to evaluate salivary cortisol as a marker of recovery in elite rugby union players. Method: Over a 10-wk preseason training period, 19 male elite rugby union players provided saliva swabs biweekly (Monday and Friday mornings). Subjective markers of recovery were collected every morning of each training day. Session rating of perceived exertion (sRPE) was taken after every training session, and training load was calculated (sRPE × session duration). Results: Multilevel analysis found no significant association between salivary cortisol and training load or subjective markers of recovery (all P > .05) over the training period. Compared with baseline (wk 1), Monday salivary cortisol significantly increased in wk 4 (14.94 [7.73] ng/mL; P = .04), wk 8 (16.39 [9.53] ng/mL; P = .01), and wk 9 (15.41 [9.82] ng/mL; P = .02), and Friday salivary cortisol significantly increased in wk 5 (14.81 [8.74] ng/mL; P = .04) and wk 10 (15.36 [11.30] ng/mL; P = .03). Conclusions: The significant increase in salivary cortisol on certain Mondays may indicate that players did not physically recover from the previous week of training or match at the weekend. The increased Friday cortisol levels and subjective marker of perceived fatigue indicated increased physiological stress from that week’s training. Regular monitoring of salivary cortisol combined with appropriate planning of training load may allow sufficient recovery to optimize training performance.

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