S. Kaufmann, O. Hoos, T. Kuehl, T. Tietz, D. R. Reim, K. Fehske, Richard Latzel, R. Beneke
Energetic Profiles of the Yo-Yo Intermittent Recovery Tests 1 and 2
International Journal of Sports Physiology and Performance, pp. 1-6
Purpose: To analyze the energetic profiles of the Yo-Yo Intermittent Recovery Tests 1 and 2 (YYIR1 and YYIR2).
Methods: Intermittent running distance (IR1D and IR2D), time to exhaustion (IR1T and IR2T), and total recovery time between shuttles (IR1R and IR2R) were measured in 10 well-trained male athletes (age 24.4 [2.0] y, height 182  cm, weight 75.8 [7.9] kg). Respiratory gases and blood lactate (BLC) were obtained preexercise, during exercise, and until 15 min postexercise. Metabolic energy, average metabolic power , and energy share (percentage of aerobic [WAER], anaerobic lactic [WBLC], and anaerobic alactic energy system [WPCr]) were calculated using the PCr-La-O2 method.
Results: Peak oxygen consumption was possibly higher in YYIR2 (60.3 [5.1] mL·kg-1·min-1) than in YYIR1 (P = .116, 57.7 [4.5] mL·kg-1·min-1, d = -0.58). IR1D, IR1T, and IR1R were very likely higher than IR2D, IR2T, and IR2R, respectively (P < .001, 1876  vs 672  m, d = -2.83; P < .001, 916  vs 304  s, d = -3.03; and P < .001, 460  vs 150  s, d = -2.83). Metabolic energy was most likely lower in YYIR2 than in YYIR1 (P < .001, 493.5 [118.1] vs 984.8 [171.7] kJ, d = 3.24). Average metabolic power was most likely higher in YYIR2 than in YYIR1 (P < .001, 21.5 [1.7] vs 14.5 [2.2] W·kg-1, d = 3.54). When considering aerobic phosphocreatine restoration during breaks between shuttles, WAER (P = .693, 49% [10%] vs 48% [5%], d = -0.16) was similar, WPCr (P = .165, 47% [11%] vs 42% [6%], d = -0.54) possibly higher, and WBLC (P < .001, 4% [1%] vs 10% [3%], d = 1.95) almost certainly lower in YYIR1 than in YYIR2.
Conclusions: WAER and WPCr are predominant in YYIR1 and YYIR2 with almost identical WAER. Higher IR1D and IR1T in YYIR1 result in higher metabolic energy but lower average metabolic power and slightly lower peak oxygen consumption. Higher IR1R allows for higher reliance on WPCr in YYIR1, while YYIR2 requires a higher fraction of WBLC.
Beitrag (Sammelband oder Tagungsband)
O. Hoos, Richard Latzel, K. Fehske, R. Beneke
Performance prediction in professional basketball: inferences from pre-seasonal fitness scores of junior and senior elite players
Proceedings of the 19th Annual Congress of the European College of Sport Science (ECSS) [July 2-5, 2014; Amsterdam, The Netherlands], Amsterdam
Introduction: Professional basketball is a fast, demanding and highly complex game. Although high physiological and physical fitness seem essential for being successful in elite basketball (Drinkwater et al., 2008, Ziv & Lidor, 2009), a direct link between game performance scores and fitness measures is rarely shown (McGill et al., 2012). Therefore the aim of this study was to relate the outcome of basketball specific pre-seasonal fitness tests with game performances in the following season in a cohort of junior and senior professional basketball players.
Methods: 73 male elite players from teams of the highest German basketball junior (JBBL: n= 28, age: 14,8±0,7 years, height: 183±8 cm, weight: 67,8±14,6kg; NBBL: n= 20, age: 17,0±0,8 years, height: 194±9 cm, weight: 78,6±9,5 kg) and senior (BBL: n= 25, age: 26,3±3,6 years, height: 196±9 cm, weight: 101,3±9,8kg) leagues participated. All athletes performed a battery of preseasonal fitness tests linked to speed (21m-Sprint (21S, s), 10x15m Repeated Sprint Test (RST, s)), jumping ability (No step vert (NSV, cm), maxVert (MV, cm)), aerobic endurance (YoYoIR1-Test (m)) and agility (lane-agility-test (LAT, s)). During the following season, games and minutes played, points scored, assists, rebounds, steals, and blocks were assessed as dependent variables of game performance.
Results: In young junior players (JBBL) all fitness measures were significantly related to one or more game performance scores (p<0.05; 0.18