Analysis of different training load monitoring methods in youth women handball players

Maciel, Fernando O.; Miranda, Renato; Júnior, João Batista Ferreira; Goulart, Thiago; Brandão, Fernanda Martins; Werneck, Francisco Zacaron; Bara-Filho, Maurício Gattás

doi:10.1016/j.apunsm.2022.100381

Cited by 4 publications

(5 citation statements)

References 23 publications

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“…Regarding the variables of physical demands used in our study, the values obtained for distance covered (DC) were lower compared to the study in soccer with young athletes 15 and during matches in professional basketball athletes 16 . In handball, the values were similar to those of young athletes 17 and in volleyball, DC was higher than professional athletes in matches of 3 and 4 sets 18 . The other markers such as DC_Z and several sprints presented different values when compared to other studies in the evaluated modalities 15,19,20 these differences may be explained by the different definitions used for the speed and sprint zones in our and other studies.…”

Section: Discussionsupporting

confidence: 68%

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Physical demands and psychophysiological stress in young athletes team sports

Brandão,

Duarte,

Da Cunha

et al. 2023

JPhysEduc

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Training monitoring is important in the development process of the athlete. The objective of the study was to characterize the psychophysiological response and physical demands of soccer, basketball, handball, and volleyball with young athletes. The sample consisted of 61 young athletes of both genders and members of team sports, 10 training sessions for each modality were monitored. The psychophysiological responses were monitored by the session rating perception of exertion (Session RPE) and training impulse (TRIMP). The physical demands were, distance covered (DC), DC by speed zone (DC_Z1, DC_Z2, DC_Z3, DC_Z4, DC_Z5), number of sprints, and duration of the session. In addition, the recovery status (TQR) was also collected. Differences were noted between duration (p<0.001), DC_Z1 (p<0.017), DC_Z2 (p<0.05), DC_Z3 (p<0.05), DC_Z4 (p<0.003), DC_Z5 (p < 0.05), sprints (p < 0.001), TRIMP (p<0.02), Session RPE (p<0.05) and TQR (p<0.007). In psychophysiological responses, handball showed more time in zones 4 and 5 than other modalities. According to physical demands, basketball, and handball had a higher number of sprints and also higher values in DP_Z5. Therefore, the simultaneous monitoring of physical demands and psychophysiological responses provides supplementary information in monitoring young athletes.

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Section: Discussionsupporting

confidence: 68%

“…Maciel et al 17 reported a moderate correlation (r = 0.40; p < 0.001) in youth women handball players. In volleyball, Duarte et al 29 demonstrated a significant correlation between the methods in tactical training and also in technical training in general with professional athletes.…”

Section: Discussionmentioning

confidence: 95%

Physical demands and psychophysiological stress in young athletes team sports

Brandão,

Duarte,

Da Cunha

et al. 2023

JPhysEduc

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“…It is believed to be sufficient in eliminating most scoring bias due to the cognitive differences in most young groups. However, the study from Rodríguez and colleagues, and Maciel et al have shown an exception in that only very weak to weak ( r = 0.17–0.36) associations between s-RPE and HR measures were observed [ 40 , 49 ]. Since the study of Rodríguez et al focused on children with age under 12, it is speculated that such massive discrepancies between the two metrics were due to the biased or inconsistent scoring from children participants.…”

Section: Discussionmentioning

confidence: 99%

“…In this regard, the low validity observed in the study from Rodríguez-Marroyo et al (12 male children soccer players) and Maciel et al (14 male youth handball athletes) can be partially explained by their small homogeneous samples [ 22 , 25 ]. Conversely, Lupo et al (only 4 male and 5 female pre-adolescent taekwondo athletes) still showed a strong association between TL monitoring using s-RPE and HR measures [ 49 ]. Similarly, a recent systematic review conducted by Rodríguez and colleagues also reported a strong to very strong correlation between RPE and HR in several studies using small samples of children ( n = 14 to 15).…”

Section: Discussionmentioning

confidence: 99%

A meta-analysis of the criterion-related validity of Session-RPE scales in adolescent athletes

Liu,

Yang,

Liu

et al. 2023

BMC Sports Sci Med Rehabil

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Background The objective of this study was to establish the criterion-related validity of the session-rating of perceived exertion (s-RPE) method in adolescent athletes. Methods According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) guidelines, a meta-analysis (PROSPERO ID: CRD42022373126) was performed using Stata 15.1 software. Eight databases using the following terms: (‘s-RPE’ OR ‘Rating Perceived Exertion session’ OR ‘RPE session’ OR ‘RPE’ OR ‘Rate of Perceived Exertion’ OR ‘Rated of Perceived Exertion’) AND (‘Adolescen*’ OR ‘Youth*’ OR ‘Teen*’) AND (‘validity’ OR ‘correlation’ OR ‘concurrent validity’) were searched up to 2022. Articles meeting the inclusion criteria were screened and adopted the “Methodological Index for Non-Randomized Studies (MINORS)” to evaluate the risk of bias. Results An initial 1798 studies using the s-RPE method were identified and finally, a total of 16 studies were included for further analysis. The relationship between assessment instruments CR-10 or CR-100 modified methods of s-RPE and the heart rate measures of these selected studies were calculated using correlation coefficient (r values) and Fisher’s z-score. A strong to very strong correlation between s-RPE and HR was observed (overall: r = 0.74; CR-10: r = 0.69; CR-100: r = 0.80). CR-100 scale (Fisher’s z = 1.09) was shown to have a higher criterion validity than that of the CR-10 scale (Fisher’s z = 0.85). Conclusion Preliminary findings showed that s-RPE using either CR-10 or CR-100 scales can be used "stand-alone" for monitoring internal training load for children and adolescent athletes. Future studies should focus on whether CR-100 could better perform than CR-10 for junior and children athletes in different age groups and sports as well as the causes leading to potential scoring biases.

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“…The control of training loads has been carried out in multiple invasive sports, such as football [8,9], handball [10,11], and basketball [12,13]. This allows us to determine which exercise promotes greater and better adaptations of the players to the proposed stimuli [13].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the External and Internal Load in Professional Basketball Players

Gamonales,

Hernández-Beltrán,

Escudero-Tena

et al. 2023

Sports

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The quantification of the external load and internal load of professional players is of vital importance since it provides a great deal of information on the state of the physical condition of athletes during competition and training. The aim of the present study was to quantify the external load and internal load of the players of a first level team of the Spanish basketball league for two weeks corresponding to the pre-season 2022/2023. Seventeen load variables were analyzed and organized into kinematics external load, neuromuscular external load, and internal load. All variables were normalized to the same time unit (minute). For this purpose, all training sessions were monitored using inertial devices. The results show significant differences in the external load and internal load variables depending on the task performed and the specific position. Each type of task provokes different responses in the players, with Full Game situations producing the highest values in the kinematic external load variables (p < 0.05). The selection of each type of task must be adjusted to the physical and technical–tactical objective to be developed. Despite the general work carried out in the pre-season, the centers are the players who bear the greatest internal load in this period. For this reason, it is necessary to individualize the training processes from the pre-season.

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Analysis of different training load monitoring methods in youth women handball players

Cited by 4 publications

References 23 publications

Physical demands and psychophysiological stress in young athletes team sports

Physical demands and psychophysiological stress in young athletes team sports

A meta-analysis of the criterion-related validity of Session-RPE scales in adolescent athletes

Analysis of the External and Internal Load in Professional Basketball Players

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