# 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

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