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Table 4 Logistic Regression

From: Core strength: A new model for injury prediction and prevention

Simple Logistic Regression
Outcome = Overall Score Failure (≤ 16)
Model Variable Count OR P > |Z| 95% CI
1 Male 408 referent -- --
2 Age 433 1.09 0.001 (1.06,1.12)
3 Rank 433 1.07 0.001 (1.04,1.11)
4 Tenure 433 1.07 0.001 (1.04,1.10)
5 No Injuries 315 referent -- --
  Any Injuries 118 1.43 0.115 (0.92,2.24)
6 # Injuries 433 1.22 0.093 (0.97,1.54)
7 No Time Lost 379 referent -- --
  Injured & Lost Time 54 1.66 0.090 (0.92,2.98)
Multiple Logistic Regression
Outcome = Overall Score Failure (≤ 16)
Significant Models Only
Model Variable OR P > |Z| 95% CI LROC
1 Age 1.09 0.001 (1.06, 1.12)  
  Any Injuries 1.68 0.033 (1.04, 2.71) 0.703
2 Age 1.09 0.001 (1.06, 1.12)  
  # Injuries 1.29 0.044 (1.01, 1.66) 0.702
3 Age 1.09 0.001 (1.06, 1.12)  
  Injured & Lost Time 1.85 0.054 (0.99, 3.44) 0.702