Key result
A 4-factor clinical prediction rule identified high cardiometabolic risk among collegiate football players with 92% sensitivity and 76% specificity.
Why the study?
Does a 4-factor clinical prediction rule accurately identify high cardiometabolic risk in collegiate football players?
Population
62 National Collegiate Athletic Association Division I Football Championship Subdivision football players.
Design
Cross-sectional
Authors
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May support risk stratification in collegiate athletes; leaves open prospective validation before practice change.
Cross-Sectional (n=62)
No
Does a 4-factor clinical prediction rule accurately identify high cardiometabolic risk in collegiate football players?
Effect estimate: 92% sensitivity, 76% specificity (95% CI 65-99 for sensitivity, 63-86 for specificity)
A 4-factor clinical prediction rule using non-invasive measures can identify collegiate football players at high risk for cardiometabolic disease with high sensitivity.
Wilkerson et al. (2010) conducted a cross-sectional in Cardiometabolic risk (n=62). 4-factor clinical prediction rule (waist circumference, blood pressure, quadriceps strength, ethnic category) was evaluated on Discrimination of high-risk or low-risk status for future development of type 2 diabetes and cardiovascular disease (92% sensitivity, 76% specificity, 95% CI 65-99 for sensitivity, 63-86 for specificity). A 4-factor clinical prediction rule identified high cardiometabolic risk among collegiate football players with 92% sensitivity and 76% specificity.
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