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Table 4 Multiple Logistic Regression Predicting the Probability that a Kentucky Security and Law Enforcement (SLE) First Report of Injury will Result in Awarded Benefitsa

From: Workers compensation-reported injuries among security and law enforcement personnel in the private versus public sectors

Variable Adj. Odds Ratio Confidence Interval
SLE Sector
 Public Reference  
 Private 1.354 (1.086, 1.688)
Age (Years)
 ≤ 24 Reference  
 25–34 1.911 (1.165, 3.137)
 35–44 2.663 (1.628, 4.357)
 45–54 3.254 (1.964, 5.390)
 55+ 2.941 (1.721, 5.026)
Nature of injury
 All Other Reference  
 Concussion 1.092 (0.465, 2.561)
 Contusion 0.531 (0.327, 0.757)
 Fracture/dislocation 1.704 (1.215, 2.389)
 Gunshot 3.771 (1.340, 10.612)
 Laceration/puncture 0.218 (0.108, 0.441)
 Sprain/strain 0.956 (0.732, 1.249)
Cause of injury
 All other Reference  
 Absorption, ingestion or inhalation 0.254 (0.058, 1.109)
 Cut, puncture, or scrape 2.293 (0.742, 7.090)
 Fall/slip 3.022 (1.816, 5.027)
 Motor vehicle-related 5.274 (3.156, 8.813)
 Person in act of crime 3.025 (1.716, 5.333)
 Strain 3.235 (1.933, 5.413)
 Struck by animal or object 1.799 (1.017, 3.180)
 Struck or injured by fellow worker, patient or other person 0.976 (0.426, 2.235)
Body part injured
 Ankle and foot Reference  
 Back 2.372 (1.515, 3.715)
 Chest, abdomen, and groin 0.786 (0.438, 1.408)
 Face, eyes, mouth and ears 1.322 (0.611, 2.861)
 Head and neck 1.925 (1.075, 3.447)
 Knee and lower leg 3.078 (2.062, 4.592)
 Multiple parts or body systems 2.274 (1.452, 3.561)
 Pelvis and upper leg 1.748 (0.881, 3.467)
 Upper extremity 2.471 (1.663, 3.674)
 Missing 0.000
  1. aAward outcome only included first reports of injuries where a decision was reached. Cases under review (n = 49) were excluded