Functional Movement Screen Scores and Injury Risk in Physical Education Majors

Jie Shao's prospective cohort study analyzes Functional Movement Screen (FMS) data from 355 physical education majors to assess sports injury risk. The research identifies a total FMS score threshold of 15 points, with subjects scoring ≤15 having 9.17 times higher injury risk. Data analysis includes ROC curve construction and binary logistic regression using results from 7 FMS tests.

Use Cases

• Predict sports injury risk using the total FMS score as a binary classifier with a 15-point cutoff.
• Analyze the association between the results of the 7 FMS component tests and injury risk via binary logistic regression.
• Calculate Odds Ratios (OR) to quantify the relative impact of FMS scores, training volume, previous injury, and sport type on injury risk.
• Construct a Receiver Operating Characteristic (ROC) curve from total FMS scores to evaluate diagnostic performance (AUC=0.8338).

Strengths

• Prospective cohort design with 355 subjects monitored for injuries over one semester.
• Analysis yields a specific, statistically significant Odds Ratio of 9.17 for injury risk based on the FMS score threshold.
• Reporting follows the STROBE statement for observational studies, enhancing methodological transparency.

Limitations

• Dataset is small (60.9 KB), contained within a PDF, limiting direct computational analysis without extraction.
• Sample consists solely of 355 physical education majors, limiting generalizability to other athletic populations.
• The underlying tabular data for the 355 subjects and 7 FMS tests is not directly available in the provided file.

Provenance

Source

Jie Shao via figshare

Collection Method

Prospective cohort study: 355 physical education majors completed a baseline FMS test and were monitored for sports injuries over one academic semester.

Time Range

One academic semester (prospective monitoring period).

Freshness

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Geography

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