Motion Screening Test Scores for Female Student Athletes and Non-Athletes

The present study compares motion screening test scores for female student athletes and non-athletes

Population of the study includes 30 student athletes (age23.36±3.10, height163.45±5.06, and weight57.40±6.43) and non-athletes (age25.00±2.36, height162.6±3.72, andweight58.76±9.29). Functional motion screening test was performed to analyze motion patterns among student. Data distribution was not normal. Mann–Whitney test was also performed to compare motion screening test scores for athletes and non-athletes. Data analysis was done using SPSS 22 at significance level of P≥0.05.

results of Mann–Whitney test showed a significant difference between motion screening test scores of athletes and non-athletes (p=0.001). Results motion screening testscores of athletes and non-athletes at cut point 14 revealed that 66% of student athletes and 40% non-athletes scored lower than 14, while 93.34% of student athletes and 60%scored higher than 14.

functional motion screening helps identify motion pattern differences among athletes and non-athletes. Higher scores of student athletes showed that non-athletes have weak motion patterns. This implies that they are vulnerable to more sport injuries