ABSTRACT
OBJECTIVE: The aim of this study was to evaluate the impact of anthropometric data and the level of physical activity on the CKCUEST score on uninjured subjects. METHOD: Subjects were eligible for the study if they were aged between 18 and 25 years old. Anthropometric data were collected, and the physical activity level was assessed using the Global Physical Activity Questionnaire (GPAQ). The primary endpoint was the CKCUEST score. The CKCUEST was performed three times and the score was the mean of the 3 tries. The compared groups were posteriori dichotomized according to the median. A multivariate model has been built by step-by-step selection with a threshold set at 0.05. RESULTS: 82 subjects were included. The difference between groups determined for each variable was statistically significant for CKCUEST score (p < 0.0001) and for physical activity level (p = 0.0245). The multivariate analysis showed that arm span, sex and weight are, in order, three main variables influencing the CKCUEST score. A predictive equation was established based on these 3 factors (R2 = 0.51). CONCLUSION: The CKCUEST score seems to be impacted by sex, weight and arm span. A predictive equation for the CKCUEST score was proposed: (0.271 × Upper Limb Span)-(0.103 × Weight)-(3.219 × Sex)-17.719.