Peak Match Demands in Young Basketball Players: Approach and Applications

Alonso, Enrique; Miranda, N. Peña; Zhang, Shaoliang; Sosa, Carlos Hernán; Trapero, Juan Jesús; Calvo, Jorge Lorenzo; Lorenzo, Alberto

doi:10.3390/ijerph17072256

Cited by 20 publications

(65 citation statements)

References 51 publications

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“…As previous findings confirmed, basketball is a sport where most of play time is spent in walking and standing activities [1,5,8]. However, the capacity to be exposed to accelerations, decelerations, change of directions, landings, peak demands, or jumps is vital for on-court success, due to the intermittent high-intensity nature of most actions and basketball specific movements [1,[46][47][48][49][50][51].…”

Section: Specific Thresholdsmentioning

confidence: 72%

Specific Absolute Velocity Thresholds during Male Basketball Games Using Local Positional System; Differences between Age Categories

et al. 2021

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The aim of this study was (I) to establish absolute specific velocity thresholds during basketball games using local positional system (LPS) and (II) to compare the speed profiles between various levels of competitions. The variables recorded were total distance (TD); meters per minute (m·min); real time (min); maximum speed (Km h−1), distance (m), percentage distance, and percentage duration invested in four speed zones (standing–walking; jogging; running; and high-speed running). Mean and standard deviation (±SD) were calculated, and a separate one-way analysis of variance was undertaken to identify differences between competitions. TD (3188.84 ± 808.37 m) is covered by standing–walking (43.51%), jogging (36.58%), running (14.68%), and sprinting (5.23%) activities. Overall, 75.22% of the time is invested standing–walking, jogging (18.43%), running (4.77%), and sprinting (1.89%). M·min (large effect size), % duration zone 2 (moderate effect size); distance zone 4 (large effect size), and % distance zone 4 (very large effect size) are significantly higher during junior than senior. However, % distance zone 1 (large effect size) and % duration zone 1 (large effect size) were largely higher during senior competition. The findings of this study reveal that most of the distance and play time is spent during walking and standing activities. In addition, the proportion of time spent at elevated intensities is higher during junior than in senior competition.

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Section: Specific Thresholdsmentioning

confidence: 72%

Specific Absolute Velocity Thresholds during Male Basketball Games Using Local Positional System; Differences between Age Categories

et al. 2021

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“…A correct training session design related to the technical-tactical-physical purpose and the competition is important for workload managing during competitive microcycles [ 4 , 5 , 64 ]. In this sense, the use of effective strategies can help to anticipate the higher peak of performance in competition [ 67 , 68 , 94 ]. Also, it is important to monitor the player during all the training phases to assure the efficacy of the training effectiveness [ 95 – 97 ].…”

Section: Discussionmentioning

confidence: 99%

“…12.7%) cited the reliability and validity of other devices that were not used in their respective research. Investigations measured with Optimeye and Team 2.5 devices (Catapult Sports) [ 62 , 67 , 69 , 73 , 74 , 104 , 110 – 112 ], ZXY Sportracking (Radionor Communications) [ 26 ], X8-mini (Gulfcoast Data Concept) [ 24 , 25 , 29 ], Actilife v12 (ActiGraph) [ 75 ], and Viper V2 (StatSport) [ 76 ] cited the validity study of Barrett et al [ 19 ] and reliability of Boyd et al [ 16 ] realized with MinimaxX devices (Catapult Sports). Noteworthy, 34.7% of the studies did not report the validity or reliability and did also not refer to literature findings for this purpose.…”

Section: Discussionmentioning

confidence: 99%

Accelerometry as a method for external workload monitoring in invasion team sports. A systematic review

et al. 2020

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Accelerometry is a recent method used to quantify workload in team sports. A rapidly increasing number of studies supports the practical implementation of accelerometry monitoring to regulate and optimize training schemes. Therefore, the purposes of this study were: (1) to reflect the current state of knowledge about accelerometry as a method of workload monitoring in invasion team sports according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines, and (2) to conclude recommendations for application and scientific investigations. The Web of Science, PubMed and Scopus databases were searched for relevant published studies according to the following keywords: "accelerometry" or "accelerometer" or "microtechnology" or "inertial devices", and "load" or "workload", and "sport". Of the 1383 studies initially identified, 118 were selected for a full review. The main results indicate that the most frequent findings were (i) devices' body location: scapulae; (b) devices brand: Catapult Sports; (iii) variables: PlayerLoad TM and its variations; (iv) sports: rugby, Australian football, soccer and basketball; (v) sex: male; (vi) competition level: professional and elite; and (vii) context: separate training or competition. A great number of variables and devices from various companies make the comparability between findings difficult; unification is required. Although the most common location is at scapulae because of its optimal signal reception for time-motion analysis, new methods for multi-location skills and locomotion assessment without losing tracking accuracy should be developed.

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“…Of the 122 included studies, 37 reported excluding some participants based on specific criteria. Participant exclusion was reported in 19 studies based on percentage of participation in training or competition [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34], 7 studies based on player rotation status during competition (i.e. starter, bench, active in game, not substituted) [35][36][37][38][39][40][41], 5 studies based on missed sessions (i.e.…”

Section: Participant Inclusionmentioning

confidence: 99%

Measuring Physical Demands in Basketball: An Explorative Systematic Review of Practices

et al. 2020

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Background Measuring the physical work and resultant acute psychobiological responses of basketball can help to better understand and inform physical preparation models and improve overall athlete health and performance. Recent advancements in training load monitoring solutions have coincided with increases in the literature describing the physical demands of basketball, but there are currently no reviews that summarize all the available basketball research. Additionally, a thorough appraisal of the load monitoring methodologies and measures used in basketball is lacking in the current literature. This type of critical analysis would allow for consistent comparison between studies to better understand physical demands across the sport. Objectives The objective of this systematic review was to assess and critically evaluate the methods and technologies used for monitoring physical demands in competitive basketball athletes. We used the term 'training load' to encompass the physical demands of both training and game activities, with the latter assumed to provide a training stimulus as well. This review aimed to critique methodological inconsistencies, establish operational definitions specific to the sport, and make recommendations for basketball training load monitoring practice and reporting within the literature. Methods A systematic review of the literature was performed using EBSCO, PubMed, SCOPUS, and Web of Science to identify studies through March 2020. Electronic databases were searched using terms related to basketball and training load. Records were included if they used a competitive basketball population and incorporated a measure of training load. This systematic review was registered with the International Prospective Register of Systematic Reviews (PROSPERO Registration # CRD42019123603), and approved under the National Basketball Association (NBA) Health Related Research Policy. Results Electronic and manual searches identified 122 papers that met the inclusion criteria. These studies reported the physical demands of basketball during training (n = 56), competition (n = 36), and both training and competition (n = 30). Physical demands were quantified with a measure of internal training load (n = 52), external training load (n = 29), or both internal and external measures (n = 41). These studies examined males (n = 76), females (n = 34), both male and female (n = 9), and a combination of youth (i.e. under 18 years, n = 37), adults (i.e. 18 years or older, n = 77), and both adults and youth (n = 4). Inconsistencies related to the reporting of competition level, methodology for recording duration, participant inclusion criteria, and validity of measurement systems were identified as key factors relating to the reporting of physical demands in basketball and summarized for each study. Conclusions This review comprehensively evaluated the current body of literature related to training load monitoring in basketball. Within this literature, there is a clear lack of alignment in applied practices and metho...

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Peak Match Demands in Young Basketball Players: Approach and Applications

Cited by 20 publications

References 51 publications

Specific Absolute Velocity Thresholds during Male Basketball Games Using Local Positional System; Differences between Age Categories

Specific Absolute Velocity Thresholds during Male Basketball Games Using Local Positional System; Differences between Age Categories

Accelerometry as a method for external workload monitoring in invasion team sports. A systematic review

Measuring Physical Demands in Basketball: An Explorative Systematic Review of Practices

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