. Author manuscript; available in PMC: 2022 Aug 1.

Published in final edited form as: Am J Sports Med. 2021 Jul 8;49(10):2615–2623. doi: 10.1177/03635465211024249

Table 4.

Best-fit multivariate risk model for males^a with comparison to data published in Sturnick et al.²³

Variable (unit change)	Odds Ratio (95% CI)	p value	% Increase in ACL Injury Risk^b

ACL volume (100 mm³)
Present study	0.702 (0.522–0.945)	0.019	42.5%
Sturnick et al.²³	0.697 (0.523–0.928)	0.013	43.5%
L_atT_ibMBA (1 deg)
Present study	0.648 (0.438–0.959)	0.030	54.3%
Sturnick et al.²³	0.811 (0.666–0.988)	0.038	23.3%

Includes measures of the ACL volume and the lateral tibial compartment meniscus-bone angle (L_atT_ibMBA). A multivariate conditional logistic regression was performed using the uninjured leg of ACL-injured subjects and the corresponding knee of control subjects. Odds ratios and associated 95% confidence intervals (CIs) describe the effects of a unit increase from the mean for each variable on risk of suffering a noncontact ACL injury.

Percentage (%) increase in ACL injury risk for a unit decrease from the mean for each variable.