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Norms for Aerobic and Anaerobic Capacity in CUSSA Junior Alpine Skiers: Board #1 May 30 1:00 PM - 3:00 PM

Bacharach, David FACSM1; Schilling, Maria2; Bacharach, Megan1

Medicine & Science in Sports & Exercise: May 2008 - Volume 40 - Issue 5 - p S164
doi: 10.1249/01.mss.0000322177.15788.c5
F-20 Thematic Poster - Winter Sports; MAY 30, 2008 1:00 PM - 3:00 PM ROOM: 205

1St. Cloud State University, St. Cloud, MN. 2Bloomington Jefferson High School, Bloomington, MN.


(No relationships reported)

INTRODUCTION: The US Ski and Snowboard Assoc. encourages athletes to participate in annual fitness evaluations as part of the selection process for special projects. For 4 years, the 20m pacer test (aerobic) and 40cm box jump test (anaerobic) have been used to estimate individual capacities; however, no normative data were available for feedback to athletes.

PURPOSE: To determine quartile norms for junior alpine skiers relative to the aerobic 20m pacer test and anaerobic 40cm box test.

METHODS: Subjects (N=107) were junior alpine skiers ages 12-19 and members of the Central United States Ski Association (CUSSA). Data were collected 2004-2007 on athletes able to complete both the aerobic and anaerobic tests. Subjects performed a 20m pacer test to determine VO2max. During 2004, and 2005 subjects completed a 40s box jump for anaerobic capacity, but in 2006 and 2007 subjects completed a 60s box jump. To enable comparison of box jump scores, total jumps for the 40s and 60s tests were generated for each of the two years tested with preference for the current 60s test.

RESULTS:Table 1 shows quartile ranks and values for aerobic capacity (VO2 ml/kg/ min) and 60s box jump scores.

Table 1

Table 1

CONCLUSIONS: Annual fitness assessments can now provide a quartile ranking of athletes for aerobic and anaerobic capacities with expected changes relative to normal growth and other possible changes due to training. These data may help motivate athletes to improve their physiological profile in order to reach a more competitive level of fitness. These data might also help coaches identify athletes that are particularly weak in an area and help them to improve.

©2008The American College of Sports Medicine