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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