Objective: This study hypothesized that physical status, temperament and characteristics, and neurocognitive functions of basketball players could predict the result of Korean Basketball League (KBL) draft selection.
Methods: We recruited the number of 89 college elite basketball players (KBL selection, n=44; non-KBL selection, n=45), and the number of 82 age-matched healthy comparison subjects who major in sports education in college. All participants were assessed with the Temperament and Character Inventory, Sports Anxiety Scales, Beck Depression Inventory, Perceived Stress Scale-10, Trail Making Test, and Computerized Neuro-cognitive Test for Emotional Perception and Mental Rotation.
Results: Current results showed that physical status, temperament and characteristics, and neurocognitive functions of college basketball players could predict the KBL draft selection. Among temperament and characteristics, novelty seeking and reward dependence were associated with KBL draft selection. The basketball performances including average scores and average rebound were associated with Emotional Perception and Mental Rotation.
Conclusion: In order to be a good basketball player for a long time, it was confirmed that temperamental factors and neurocognitive factors were very closely related. Furthermore, it is also judged that these results can be used as basic data to predict potential professional basketball players.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.30773/pi.2024.0298 | DOI Listing |
Psychiatry Investig
January 2025
Department of Psychiatry, Chung Ang University Hospital, Seoul, Republic of Korea.
Objective: This study hypothesized that physical status, temperament and characteristics, and neurocognitive functions of basketball players could predict the result of Korean Basketball League (KBL) draft selection.
Methods: We recruited the number of 89 college elite basketball players (KBL selection, n=44; non-KBL selection, n=45), and the number of 82 age-matched healthy comparison subjects who major in sports education in college. All participants were assessed with the Temperament and Character Inventory, Sports Anxiety Scales, Beck Depression Inventory, Perceived Stress Scale-10, Trail Making Test, and Computerized Neuro-cognitive Test for Emotional Perception and Mental Rotation.
Front Sports Act Living
January 2025
Research Centre for Sports and Healthcare Sciences, University of Iceland, Reykjavik, Iceland.
Introduction: This study aims to investigate age-related differences in physical performance metrics, specifically vertical jumping and sprinting capabilities, between young (average age 12.5) and senior (average age 23.2) male basketball players.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Sport Games, Józef Piłsudski University of Physical Education in Warsaw, Marymoncka 34, Warsaw, 00-968, Poland.
This study aimed to examine and compare the anthropometric profiles, motor skills, game-related abilities, and functional capacities of under-15 (U-15) and under-16 (U-16) male basketball players, evaluate the impact of maturity offset, and predict performance across physical and sport-specific domains. A total of 234 athletes participated in a comprehensive test battery, assessing morphological (height, mass, standing reach), physical (sprinting, agility, jump height, endurance), technical (jump shot, free throws, dribbling), and functional movement screen variables. The U-16 group outperformed U-15 players in physical characteristics and jump height.
View Article and Find Full Text PDFBr J Sports Med
January 2025
Division of Preventative Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Objective: To compare physical activity (PA) over midlife between (1) former collegiate athletes and non-athletes and (2) among athletes in different sports.
Methods: The Harvard Alumni Health Study (HAHS) is a prospective cohort study of male undergraduates who completed serial questionnaires regarding PA and health status between 1962 and 1993. PA was categorised by intensity (<3 METs, light; 3 to <6 METs, moderate; ≥6 METs, vigorous), and energy expenditure (kilocalories (kcal)/week) was estimated at each intensity and in total.
Eur J Sport Sci
February 2025
Graduate School of Sports and Health Studies, Hosei University, Tokyo, Japan.
The effects of flywheel (FW) training on jump performance, muscle function, and muscle mass in athletes have not been fully clarified. The purpose of the present study was to evaluate the effects of an 8-week FW training program on jump performance, stretch-shortening cycle (SSC) function, muscle strength, peak power and muscle thickness in collegiate basketball players. Twenty male college basketball players (mean age: 19.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!