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Tracking Technical Skill Development in Young Basketball Players

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Bibliographic Data

ID15503202
AuthorsEduardo Guimarães (0000-0001-5344-9344, Universidade do Porto, corresponding author), Adam Dominic George Baxter‐jone (0000-0003-0430-0556, University of Saskatchewan), A Mark Williams (0000-0002-4644-0242, University of Utah), Fernando Tavares (0000-0003-2990-3978, Universidade do Porto), Fernando Horta Tavares (0000-0001-7489-0729, Universidade do Porto), Manuel António Janeira (0000-0002-4919-6812, Universidade do Porto), José Maia (0000-0002-3273-0046, Universidade do Porto)
Year2021
Volume18
Issue8
Pages4094-4094
Publication date2021-04-13
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph18084094
PMID33924566
OpenAlexW3156506772
LanguageEN
References cited34

This study investigated developmental stability, or tracking, in the development of technical skills in youth male basketball players and retrospectively profiled stable and unstable tracking patterns over time. A total of 97 basketball players were tracked bi-annually over 3 consecutive years. Players were divided into two age-categories according to their age at baseline: under-12; and under-14. Technical skills were assessed using the American Alliance for Health, Physical Education, Recreation and Dance test battery. Anthropometric, body composition, biological maturation and physical performance data were collected. Cohen's kappa (κ) was used to estimate tracking. With the exception of defensive movement in the under-12 age-category, tracking was low in all skill tests for both under-12 (0.22 ≤ κ ≤ 0.33) and -14 (0.20 ≤ κ ≤ 0.26) groupings. The overall technical skill showed moderate tracking for under-12 players (κ = 0.47) and low tracking for under-14 players (κ = 0.26). At baseline, players who were consistently more skilled or became more skillful (in the under-12 age-category) over time had a better growth-motor performance profile and most of them were selected to be members of regional teams. In conclusion, tracking of individual skill trajectories was low-to-moderate. Moreover, a better growth-motor performance profile seems crucial to maintain high levels of skill performance over time. It is recommended that basketball coaches track the developmental trajectories of their players to better understand the erratic nature of skill development and help design more effective practice regimes

Anthropometry · Basketball · Developmental psychology · Geography · Mathematics education · Medical education · Motor skill · Pedagogy · Physical education · Physical medicine and rehabilitation · Physical therapy · Political science · Recreation · Test (biology · Tracking (education · Applied Psychology · Medicine · Psychology · Sport Psychology and Performance · Sports injuries and prevention · Sports Performance and Training

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