Vancouver’s Dynastic Domination of Canadian Senior Women’s Basketball: 1942 to 1967

1995 ◽  
Vol 26 (2) ◽  
pp. 19-32
Author(s):  
Barbara Schrodt
Keyword(s):  
2020 ◽  
Vol 6 (25) ◽  
pp. 760-768
Author(s):  
Nida Gencer ÖZKAN ◽  
◽  
Tülin ATAN

The aim of this study was to investigate the basketball players’, active in Turkey Women’s Basketball Super and 1st Leagues, empathy levels according to their marital status, educational status in addition to age and marital status of their coach; and to evaluate leadership characteristics and behavior of their coaches according to athlete’s perception. Another aim was to analyze the relation between empathy levels of the athletes and athletes’ perception of coaching behavior. 264 (age; 24.61±5.53 year) female athletes playing in Turkey Women’s Basketball Super and 1st Leagues participated in this study. Leadership Scale for Sports (LSS)-version of Athletes’ Perception of Coaching Behavior that developed by Chelladurai and Saleh, and adapted by Tiryaki and Toros in 2006 was used as data collection tool. Athletes’ perceptions of leadership style and behavior of their coach were evaluated in five different factors. A five-factor solution with 40 items describing the most salient dimensions of coaching behavior was selected as the most meaningful. Empathy levels of the athletes were determined by using Emphatic Tendency Scale which was developed by Dökmen (1988) and composed of 20 items. Empathy levels of the athletes showed no statistically significant difference in terms of any variable (p>0.05). There was no statistically significant difference in athletes’ perceptions of coaching behaviors in terms of marital status of the athlete and age of their coach (p>0.05). In terms of educational status of athletes and marital status of their coach, there were statistically significant differences in athletes’ perceptions of coaching behaviors (p<0.05 and p<0.01). Positive and meaningful correlation was found between empathy scores of the athletes and training and instruction behavior (r=.172**) and autocratic behavior (r=.154*) of the coach (p<0.05 and p<0.01). Educational status of the athletes and marital status of their coach are influental in athletes’ evaluation of their perceptions of coaching behavior. Empathy levels of the athletes are related to their perceptions of coaching behavior.


Author(s):  
Marius Baranauskas ◽  
Valerija Jablonskienė ◽  
Jonas Algis Abaravičius ◽  
Rimantas Stukas

There are about 466 million people with hearing impairments in the world. The scientific literature does not provide sufficient data on the actual nutrition and other variables of professional deaf athletes. The objectives of this study were to investigate and evaluate the body composition, the physical working capacity, the nutrition intake, and the blood parameters of iron and vitamin D in the Lithuanian high-performance deaf women’s basketball team players. The female athletes (n = 14) of the Lithuanian deaf basketball team aged 26.4 ± 4.5 years were recruited for an observational cross-sectional study. A 7-day food recall survey method was used to investigate their actual diet. The measurements of the body composition were performed using the BIA (bioelectrical impedance analysis) tetra-polar electrodes. In order to assess the cardiorespiratory and aerobic fitness levels of athletes, ergo-spirometry (on a cycle ergometer) was used to measure the peak oxygen uptake (VO2peak) and the physical working capacity at a heart rate of 170 beats per minute (PWC170). The athletes’ blood tests were taken to investigate the red blood cells, hemoglobin, 25-hydroxyvitamin D, ferritin, transferrin, iron concentrations, and total iron-binding capacity (TIBC). The consideration of the VO2peak (55.9 ± 6.1 mL/min/kg of body weight, 95% CI: 51.8, 58.9) and the low VO2peak (56–60 mL/min/kg of body weight) (p = 0.966) in the deaf women’s basketball team players revealed no differences. For the deaf female athletes, the PWC170 was equal to 20.3 ± 2.0 kgm/min/kg of body weight and represented only the average aerobic fitness level. The carbohydrate and protein intakes (5.0 ± 1.3 and 1.3 ± 0.3 g/kg of body weight, respectively) met only the minimum levels recommended for athletes. The fat content of the diet (38.1 ± 4.1% of energy intake) exceeded the maximum recommended content (35% of energy intake) (p = 0.012). The mean blood serum concentrations of 25(OH)D and ferritin (24.1 ± 6.6 nmol/L and 11.0 ± 4.1 µg/L, respectively) predicted vitamin D and iron deficits in athletes. Female athletes had an increased risk of vitamin D and iron deficiencies. Regardless of iron deficiency in the body, the better cardiorespiratory fitness of the deaf female athletes was essentially correlated with the higher skeletal muscle mass (in terms of size) (r = 0.61, p = 0.023), the lower percentage of body fat mass (r = −0.53, p = 0.049), and the reduced intake of fat (r = −0.57, p = 0.040).


2017 ◽  
Vol 52 (3) ◽  
pp. 167-174 ◽  
Author(s):  
Zachary Y. Kerr ◽  
Karen G. Roos ◽  
Aristarque Djoko ◽  
Sara L. Dalton ◽  
Steven P. Broglio ◽  
...  

Context: Injury rates compare the relative frequency of sport-related concussions across groups. However, they may not be intuitive to policy makers, parents, or coaches in understanding the likelihood of concussion. Objective: To describe 4 measures of incidence (athlete-based rate, athlete-based risk, team-based rate, and team-based risk) during the 2011–2012 through 2014–2015 academic years. Design:  Descriptive epidemiology study. Setting: Aggregate injury and exposure data collected from the National Collegiate Athletic Association Injury Surveillance Program in 13 sports (men's baseball, basketball, football, ice hockey, lacrosse, soccer, and wrestling and women's basketball, ice hockey, lacrosse, soccer, softball, and volleyball). Patients or Other Participants: Collegiate student-athletes. Main Outcome Measure(s): Sport-related concussion data from the National Collegiate Athletic Association Injury Surveillance Program during the 2011–2012 through 2014–2015 academic years were analyzed. We calculated concussion rates per 1000 athlete-exposures (AEs), concussion risk, average number of concussions per team, and percentage of teams with at least 1 concussion. Results: During the 2011–2012 through 2014–2015 academic years, 1485 concussions were sustained by 1410 student-athletes across 13 sports. Concussion rates ranged from 0.09/1000 AEs in men's baseball to 0.89/1000 AEs in men's wrestling. Concussion risk ranged from 0.74% in men's baseball to 7.92% in men's wrestling. The average ± SD number of concussions per team ranged from 0.25 ± 0.43 in men's baseball to 5.63 ± 5.36 in men's football. The percentage of teams with a concussion ranged from 24.5% in men's baseball to 80.6% in men's football. Conclusions Although men's wrestling had a higher concussion rate and risk, men's football had the largest average number of concussions per team and the largest percentage of teams with at least 1 concussion. The risk of concussion, average number of concussions per team, and percentage of teams with concussions may be more intuitive measures of incidence for decision makers. Calculating these additional measures is feasible within existing injury surveillance programs, and this method can be applied to other injury types.


2018 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Gabriel J. Sanders ◽  
Brian Boos ◽  
Jessica Rhodes ◽  
Roger O. Kollock ◽  
Corey A. Peacock

Sports ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 70
Author(s):  
Craig Staunton ◽  
Daniel Wundersitz ◽  
Brett Gordon ◽  
Michael Kingsley

This study assessed the influence of exercise prescription on the objectively measured exercise dose in basketball. Intensity (RPE) and volume (sRPE) were prescribed by a professional coach on a drill-by-drill basis during pre-season training for nine elite basketball players. Training drills were classified by prescribed intensity (easy-moderate, moderate-hard, hard–very hard, and very hard-maximal) and type (warm-up, skill-development, offensive- and defensive-technical/tactical, or match-simulation). Exercise intensity was objectively quantified using accelerometry-derived average net force (AvFNet) and time spent in accelerometry-derived relative intensity zones. The volume of exercise (exercise dose) was objectively quantified using accumulated impulse (AvFNet × duration). Relationships between prescribed volume and exercise dose were explored by correlations between sRPE and drill-by-drill accumulation of sRPE (dRPE) with impulse. Very hard-maximal drill intensity was greater than hard-very hard (p = 0.011), but not moderate-hard (p = 0.945). Very hard-maximal drills included the most time performing Supra-maximal intensity (>100% V ˙ O2R) efforts (p < 0.001), suggesting that intensity prescription was based upon the amount of high-intensity exercise. Correlations between impulse with sRPE and dRPE were moderate (r = 0.401, p = 0.197) and very-large (r = 0.807, p = 0.002), respectively, demonstrating that the coach misinterpreted the accumulative effect of drill volume over an entire training session. Overall, a mismatch existed between exercise prescription and exercise dose. Objective monitoring might assist coaches to improve precision of exercise prescription.


2019 ◽  
Vol 14 (7) ◽  
pp. 941-948 ◽  
Author(s):  
Henrikas Paulauskas ◽  
Rasa Kreivyte ◽  
Aaron T. Scanlan ◽  
Alexandre Moreira ◽  
Laimonas Siupsinskas ◽  
...  

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.


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