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Is Playing Soccer More Osteogenic for Females Before the Pubertal Spurt?

.5). Female peripubertal soccer players presented lower subtotal lean mass than their postpubertal counterparts ( p < 0.05, Cohen´s d 1.0). When male and female players within the same pubertal group were compared, differences were only found at the peripubertal stage as males were lighter, had a lower BMI, and had been playing soccer for more years than females ( p < 0.05, Cohen´s d ranged from 0.5 to 1.0). Table 1 Subject characteristics of peripubertal and postpubertal male and female soccer players Peripubertal (Tanner II and III) Postpubertal

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The Yo-Yo Intermittent Endurance Level 2 Test: Reliability of Performance Scores, Physiological Responses and Overload Characteristics in Competitive Soccer, Basketball and Volleyball Players

initially approached/interviewed, yet 20 soccer players (SP: age 21.9 ± 1.5 years; body mass 74.2 ± 6.5 kg; body height 1.77 ± 0.06 m; BMI 23.5 ± 2.1 kg/m 2 ; body fat 16.6 ± 4.4%), 11 basketball players (BP: age 20.8 ± 1.3 years; body mass 82.3 ± 6.6 kg; body height 1.86 ± 0.05 m; BMI 23.7 ± 1.2 kg/m 2 ; body fat 19.8 ± 4.8%) and 10 volleyball players (VP: age 20.9 ± 1.1 years; body mass 80.5 ± 10.5 kg; body height 1.86 ± 0.08 m; BMI 23.0 ± 4.4 kg/m 2 ; body fat 18.6 ± 4.4%) finally volunteered to participate in this study. The inclusion criteria were: (1) participation

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The Effect of Coaching Practices on Psychological Contract Fulfillment of Student-Athletes

REFERENCES Abdullah, A.B.M. (2011). The Role of Cultural Context and Psychological Contract on Workforce Management in the Multinational Corporations Operating in Emerging Markets . University of South Australia. Argyris, C. (1960). Individual Actualization in Complex Organizations. Mental Hygiene , 44(2), 226-237. Arthur, J.B. (1992). The link between business strategy and industrial relations systems in American steel minimills. Industrial and Labor Relations Review , 3(45), 488-506. DOI: 10.1177/001979399204500306 Arthur, J.B. (1994

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Off-Field Competition at Major Sport Events. Case Study of 2010 FIFA World Cup South Africa™

://www.sponsorship.com/About-IEG/Press-Room/Sponsorship-Spending-To-Total-$16.78-Billion-In-20.aspx IEG (2009). Global Sponsorship Expenditure Reports. Retrieved 12.05.2009, from www.sponsorhip.com IOC (2010). Olympic Marketing Fact File. Retrieved 14.10.2010, from http://www.olympic.org/Documents/fact_file_2010.pdf Ironside, S. I. (2010). FIFA 2010 - What Can We Learn From an Ambush Marketing Perspective? Retrieved 26.10.2010, from http://www.baldwins.com Kelehar, R. (1990). Ambush. The Soccer Sponsors Cry Foul. Campaign , June, 28

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Changes of strength and maximum power of lower extremities in adolescent handball players during a two-year training cycle

.6 11.5 ± 0.7 indicates statistically significant difference from Measurement 1 11.9 ± 0.8 indicates statistically significant difference from Measurement 1 # 22.90 0.00 0.43 Relative average power (W·kg -1 ) 10.8 ± 0.5 11.0 ± 0.6 11.1 ± 0.6 indicates statistically significant difference from Measurement 1 10.31 0.00 0.26 DP (%) 8.9 ± 4.0 10.3 ± 3.2 12.9 ± 4.4 indicates statistically significant difference from Measurement 1 # 10.46 0.00 0.26 Absolute work (kJ) 20.5 ± 2.4 22.0 ± 2.0 indicates statistically

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The effect of the MTHFR C677T mutation on athletic performance and the homocysteine level of soccer players and sedentary individuals

.00* Homocysteine (μmol/L) 42.97 43.09 81.27 19.10 0.00* Hemoglobin (g/dL) 41.76 51.47 61.23 5.47 0.06 The intergroup analysis was carried out using a Kruskal-Wallis analysis. *p<0.05. Analysis of the physiological differences using the Kruskall-Wallis test showed no significant difference between the alleles of the MTHFR C677T polymorphism in terms of the results of the ATHR and ANTHR (p>0.05); however, there was a statistically significant difference between ATVL and ANTVL (p<0.05). There was no significant difference between the genotypic

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Body composition and bone mineral density of collegiate American football players

(n=7) DS (n=9) OS (n=8) R (n=8) Mean Sth Mean Sth Mean Sth Mean Sth Mean Sth F p Age (y) 22.25 1.98 22.29 3.90 21.00 1.73 20.62 2.45 21.50 2.20 0.688 0.605 Height (cm) 183.83 5.94 182.34 4.96 177.14 2.56 177.34 8.56 177.25 6.81 2.273 0.081 Body mass 103.78 Significantly different from DS, OS and R (p<0.05) 15.60 112.41 Significantly different from DS, OS and R (p<0.05) 8.31 78.01 5.29 77.07 10.45 74.77 8.81 22.554 0.000 (kg) Mass scanned by

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Developing Talented Soccer Players: An Analysis of Socio-Spatial Factors as Possible Key Constraints

Chamari K Chtara M Manai Y Ghrairi M Belhaouz M Baroon A The relative age effect in the 2013 FIFA U-17 Soccer World Cup competition American Journal of Sports Science 2014 2 35 40 Seifert L, Button C, Davids K. Key properties of expert movement systems in sport. Sports Med , 2013; 43(3): 167-178 10.1007/s40279-012-0011-z Seifert L Button C Davids K Key properties of expert movement systems in sport Sports Med 2013 43 3 167 178 Serra-Olivares J, González-Víllora S, García-López LM, Araújo D. Game-centred approaches’ pedagogical principles: Exploring task

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Physical Performance During Water-Polo Matches: The Effect of the Players’ Competitive Level

5 (HL: 1.26 ± 0.06 vs. LL: 1.19 ± 0.03 m·s -1 , p < 0.05), while no differences were observed in V10 (HL: 1.41 ± 0.09 vs. LL: 1.33 ± 0.05 m·s -1 , p = 0.06) and V10-V5 (HL: 0.15 ± 0.05 vs. LL: 0.14 ± 0.06 m·s -1 , p > 0.05). Figure 2 Speed-lactate profile of the high-level (HL, n=7) and lower-level (LL, n=7) groups of players. All points are mean values. Standard deviations were omitted for clarity. Regardless of the group, the mean HR was decreasing as match time was progressing (first period: 153 ± 9, second period: 151 ± 8, third period: 146

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Basketball Game-Related Statistics that Discriminate Between European Players Competing in the NBA and in the Euroleague

.06 0.42 Two-point field goals missed (B) 0.13 ± 0.05 0.10 ± 0.05 0.40 Three-point field goals made 0.03 ± 0.03 0.03 ± 0.03 - Three-point field goals missed 0.07 ± 0.05 0.07 ± 0.05 - Free-throws made (C) 0.10 ± 0.06 0.07 ± 0.04 0.55 Free-throws missed 0.03 ± 0.02 0.03 ± 0.03 - Offensive rebounds 0.05 ± 0.04 0.04 ± 0.04 - Defensive rebounds (D) 0.16 ± 0.05 0.11 ± 0.05 0.62 Assists 0.08 ± 0.05 0.09 ± 0.06 - Turnovers 0.07 ± 0.03 0.06 ± 0.03 - Steals 0

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