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THE JOURNAL OF SPORTS MEDICINE AND PHYSICAL FITNESS
A Journal on Applied Physiology, Biomechanics, Preventive Medicine,
Sports Medicine and Traumatology, Sports Psychology
Indexed/Abstracted in: Chemical Abstracts, CINAHL, Current Contents/Clinical Medicine, EMBASE, PubMed/MEDLINE, Science Citation Index Expanded (SciSearch), Scopus
Impact Factor 1,111
Original articles EXERCISE PHYSIOLOGY AND BIOMECHANICS
The Journal of Sports Medicine and Physical Fitness 2006 June;46(2):209-14
The 100-km ultradistance race in Hong Kong: physical fitness profile and team performance outcomes
Yeung S. S., Yeung E. W.
Department of Rehabilitation Sciences The Hong Kong Polytechnic University Hung Hom, Kowloon, Hong Kong
Aim. The aim of this study was to determine different variables leading to a successful completion of a 100-km ultradistance team event.
Methods. Regular physical activity patterns, self-perceptions of fitness level and physical fitness profile were determined in subjects (n=253) registered for Trailwalker 2000. The battery of fitness tests included cardiopulmonary fitness, flexibility, muscular strength, muscular endurance and body fat composition.
Results. The physical fitness data reveals that the subjects in this study have an above average fitness level compared with the norm. There was association of self-perceived fitness with physical fitness parameters (P=0) and significant correlation of the total fitness score with the completion time (P=0.02). More importantly, the team member with the lowest fitness total score was correlated with the finish time at the event (P=0). Logistic regression model identified that total fitness score and years of experience in Trailwalker were predictive of a successful completion in the event (r=0.37; P=0.007). However, the low variance suggested that the selected physical fitness tests have low prediction sensitivity to characterize the specific population in the study.
Conclusion. There is a strong need to determine a combination of physical fitness tests that could accurately predict the performance of participants in the Trailwalker event.