Literature DB >> 29431544

Monitoring Training Load and Well-Being During the In-Season Phase in National Collegiate Athletic Association Division I Men's Basketball.

Daniele Conte, Nicholas Kolb, Aaron T Scanlan, Fabrizio Santolamazza.   

Abstract

PURPOSE: To characterize the weekly training load (TL) and well-being of college basketball players during the in-season phase.
METHODS: Ten (6 guards and 4 forwards) male basketball players (age 20.9 [0.9] y, stature 195.0 [8.2] cm, and body mass 91.3 [11.3] kg) from the same Division I National Collegiate Athletic Association team were recruited to participate in this study. Individualized training and game loads were assessed using the session rating of perceived exertion at the end of each training and game session, and well-being status was collected before each session. Weekly changes (%) in TL, acute-to-chronic workload ratio, and well-being were determined. Differences in TL and well-being between starting and bench players and between 1-game and 2-game weeks were calculated using magnitude-based statistics.
RESULTS: Total weekly TL and acute-to-chronic workload ratio demonstrated high week-to-week variation, with spikes up to 226% and 220%, respectively. Starting players experienced a higher (most likely negative) total weekly TL and similar (unclear) well-being status compared with bench players. Game scheduling influenced TL, with 1-game weeks demonstrating a higher (likely negative) total weekly TL and similar (most likely trivial) well-being status compared with 2-game weeks.
CONCLUSIONS: These findings provide college basketball coaches information to optimize training strategies during the in-season phase. Basketball coaches should concurrently consider the number of weekly games and player status (starting vs bench player) when creating individualized periodization plans, with increases in TL potentially needed in bench players, especially in 2-game weeks.

Entities:  

Keywords:  RPE; acute-to-chronic workload ratio; internal load; periodization; team sports

Mesh:

Year:  2018        PMID: 29431544     DOI: 10.1123/ijspp.2017-0689

Source DB:  PubMed          Journal:  Int J Sports Physiol Perform        ISSN: 1555-0265            Impact factor:   4.010


  20 in total

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8.  Peak Match Demands in Young Basketball Players: Approach and Applications.

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9.  External Workload Can Be Anticipated During 5 vs. 5 Games-Based Drills in Basketball Players: An Exploratory Study.

Authors:  Cody J O'Grady; Vincent J Dalbo; Masaru Teramoto; Jordan L Fox; Aaron T Scanlan
Journal:  Int J Environ Res Public Health       Date:  2020-03-22       Impact factor: 3.390

10.  Game schedule congestion affects weekly workloads but not individual game demands in semi-professional basketball.

Authors:  Jordan L Fox; Cody J O'Grady; Aaron T Scanlan
Journal:  Biol Sport       Date:  2020-01-30       Impact factor: 2.806

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