Table 2 A comparison of all subjects with a potential ACL rupture to those mailed subjects who were included in the analysis
From: Smoking and secondary ACL rupture are detrimental to knee health post ACL injury—a Bayesian analysis
Identified as having an ACL tear | Study participant | Test statistic | |
|---|---|---|---|
N = 3115 | N = 408 | ||
Age at injury | 24.0 35.0 48.0 | 21.0 29.5 41.0 | F1 3521 = 36.1, P < 0.0011 |
37.0 ± 15.5 | 31.9 ± 12.4 | ||
Sex: female | 0.34 (1051) | 0.43 (174) | \({}_1^2=12.6\), P < 0.0012 |