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. Author manuscript; available in PMC: 2012 Jul 29.
Published in final edited form as: Am J Sports Med. 2010 Jul 1;38(10):2025–2033. doi: 10.1177/0363546510370933

Figure 2.

Figure 2

Clinician-friendly nomogram that was developed from the regression analysis can be used to predict outcome based on tibia length (cm), knee valgus motion (cm), knee flexion range of motion (deg), body mass (kg), and quadriceps-to-hamstring ratio. To use the nomogram, one should place a straight edge vertically so that it touches the designated variable on the axis for each predictor, and record the value that each of the 5 predictors provides on the “points” axis at the top of the diagram. All of the recorded points are then summed and this value is located on the “total points” line with a straight edge. A vertical line drawn down from the total points line to the “probability” line will identify the probability that the athlete will demonstrate high knee abduction moment (KAM) during the drop vertical jump based on the utilized predictive variables. Reprinted from Myer et al31 with permission from Elsevier.