scholarly journals Theoretical and Practical Aspects regarding Forming Representative University Basketball Teams

Marathon ◽  
2020 ◽  
Vol 02 (10.24818/mrt) ◽  
pp. 92-97
Author(s):  
Buzoianu Alexandru
Keyword(s):  
Basketball Teams

The Sources of Conflict in Professional Basketball Teams - the Case of Greece

2012 ◽  
Vol 3 (1) ◽  
pp. 216-218
Author(s):  
Laios Athanasios ◽  
◽  
Kostopoulos Nikos ◽  
Tzetzis George ◽  
Dagres George ◽  
...  
Keyword(s):  
Professional Basketball ◽  
Of Greece ◽  
Basketball Teams

scholarly journals Hand grip strength and anthropometric characteristics in Italian female national basketball teams

2017 ◽  
Vol 57 (5) ◽  
Author(s):  
Luisa Pizzigalli ◽  
Margherita Micheletti Cremasco ◽  
Antonio La Torre ◽  
Alberto Rainoldi ◽  
Roberto Benis
Keyword(s):  
Grip Strength ◽  
Hand Grip Strength ◽  
Hand Grip ◽  
Anthropometric Characteristics ◽  
Basketball Teams

scholarly journals Preventive Neuromuscular Training for Young Female Athletes: Comparison of Coach and Athlete Compliance Rates

2017 ◽  
Vol 52 (1) ◽  
pp. 58-64 ◽  
Author(s):  
Dai Sugimoto ◽  
Carl G. Mattacola ◽  
Heather M. Bush ◽  
Staci M. Thomas ◽  
Kim D. Barber Foss ◽  
...  
Keyword(s):  
High School ◽  
Middle School ◽  
Female Athletes ◽  
School Level ◽  
Neuromuscular Training ◽  
Control Group ◽  
Injury Incidence ◽  
Soccer Teams ◽  
Experimental Group ◽  
Basketball Teams

Context: Fewer athletic injuries and lower anterior cruciate ligament injury incidence rates were noted in studies of neuromuscular-training (NMT) interventions that had high compliance rates. However, several groups have demonstrated that preventive NMT interventions were limited by low compliance rates. Objective: To descriptively analyze coach and athlete compliance with preventive NMT and compare the compliance between study arms as well as among school levels and sports. Design: Randomized, controlled clinical trial. Setting: Middle and high school athletic programs. Participants or Other Participants: A total of 52 teams, comprising 547 female athletes, were randomly assigned to the experimental or control group and followed for 1 athletic season. Intervention(s): The experimental group (n = 30 teams [301 athletes]: 12 basketball teams [125 athletes], 6 soccer teams [74 athletes], and 12 volleyball teams [102 athletes]) participated in an NMT program aimed at reducing traumatic knee injuries through a trunk-stabilization and hip-strengthening program. The control group (n = 22 teams [246 athletes]: 11 basketball teams [116 athletes], 5 soccer teams [68 athletes], and 6 volleyball teams [62 athletes]) performed a resistive rubber-band running program. Main Outcome Measure(s): Compliance with the assigned intervention protocols (3 times per week during the preseason [mean = 3.4 weeks] and 2 times per week in-season [mean = 11.9 weeks] of coaches [coach compliance] and athletes [athlete compliance]) was measured descriptively. Using an independent t test, we compared coach and athlete compliance between the study arms. A 2-way analysis of variance was calculated to compare differences between coach and athlete compliance by school level (middle and high schools) and sport (basketball, soccer, and volleyball). Results: The protocols were completed at a mean rate of 1.3 ± 1.1 times per week during the preseason and 1.2 ± 0.5 times per week in-season. A total of 88.4% of athletes completed 2/3 of the intervention sessions. Coach compliance was greater in the experimental group than in the control group (P = .014). Coach compliance did not differ by sport but was greater at the high school than the middle school (P = .001) level. Athlete compliance did not differ by study arm, sport, or school level. Conclusions: Athletes received instruction in about 50% of each protocol. Nearly 90% of athletes performed more than 2/3 of the assigned NMT interventions. The assigned intervention was performed more often in the experimental arm compared with the control arm. Coaches at the high school level complied with the given protocol more than middle school coaches did. Athletes complied well with the protocol, but coaches did not, especially at the middle school level.

Monitoring Workload in Elite Female Basketball Players During the In-Season Phase: Weekly Fluctuations and Effect of Playing Time

2019 ◽  
Vol 14 (7) ◽  
pp. 941-948 ◽  
Author(s):  
Henrikas Paulauskas ◽  
Rasa Kreivyte ◽  
Aaron T. Scanlan ◽  
Alexandre Moreira ◽  
Laimonas Siupsinskas ◽  
...  
Keyword(s):  
Perceived Exertion ◽  
Linear Models ◽  
Training Session ◽  
Rating Of Perceived Exertion ◽  
Basketball Players ◽  
Significant Difference ◽  
Women's Basketball ◽  
Playing Time ◽  
And Training ◽  
Basketball Teams

Purpose:To assess the weekly fluctuations in workload and differences in workload according to playing time in elite female basketball players.Methods:A total of 29 female basketball players (mean [SD] age 21 [5] y, stature 181 [7] cm, body mass 71 [7] kg, playing experience 12 [5] y) belonging to the 7 women’s basketball teams competing in the first-division Lithuanian Women’s Basketball League were recruited. Individualized training loads (TLs) and game loads (GLs) were assessed using the session rating of perceived exertion after each training session and game during the entire in-season phase (24 wk). Percentage changes in total weekly TL (weekly TL + GL), weekly TL, weekly GL, chronic workload, acute:chronic workload ratio, training monotony, and training strain were calculated. Mixed linear models were used to assess differences for each dependent variable, with playing time (low vs high) used as fixed factor and subject, week, and team as random factors.Results:The highest changes in total weekly TL, weekly TL, and acute:chronic workload ratio were evident in week 13 (47%, 120%, and 49%, respectively). Chronic workload showed weekly changes ≤10%, whereas monotony and training strain registered highest fluctuations in weeks 17 (34%) and 15 (59%), respectively. A statistically significant difference in GL was evident between players completing low and high playing times (P = .026, moderate), whereas no significant differences (P > .05) were found for all other dependent variables.Conclusions:Coaches of elite women’s basketball teams should monitor weekly changes in workload during the in-season phase to identify weeks that may predispose players to unwanted spikes and adjust player workload according to playing time.

Matches Between Human Resources and Strategy Among Ncaa Basketball Teams

1995 ◽  
Vol 38 (4) ◽  
pp. 1052-1074
Author(s):  
Patrick M. Wright ◽  
Dennis L. Smart ◽  
Gary C. McMahan
Keyword(s):  
Human Resources ◽  
Basketball Teams

The “I” in team: Coach incivility, coach gender, and team performance in women’s basketball teams

2019 ◽  
Vol 22 (3) ◽  
pp. 419-433 ◽  
Author(s):  
Amber L. Smittick ◽  
Kathi N. Miner ◽  
George B. Cunningham
Keyword(s):  
Team Performance ◽  
Women's Basketball ◽  
Basketball Teams

Performance analysis of elite men’s and women’s wheelchair basketball teams

2014 ◽  
Vol 32 (11) ◽  
pp. 1066-1075 ◽  
Author(s):  
Miguel ángel Gómez ◽  
Javier Pérez ◽  
Bartosz Molik ◽  
Robert J. Szyman ◽  
Jaime Sampaio
Keyword(s):  
Performance Analysis ◽  
Wheelchair Basketball ◽  
Basketball Teams
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