title: Injury and Illness Data for Illinois Mining Industry Employees, 1990 to 2012.
abstract: OBJECTIVE
  This study identifies and evaluates injury types associated with distribution of cause of injuries and compensation among Illinois miners.
  
  
  METHODS
  Cases were selected from the Illinois Workers' Compensation database from 1990 to 2012 to determine injury distributions and compensation among miners and non-miners. Logistic models were used to analyze total monetary compensation, temporary total disability (TTD), and permanent partial disability as primary outcomes.
  
  
  RESULTS
  The major predictors of total monetary compensation in both miners and non-miners were TTD, permanent partial disability, average weekly wage, and age at the time of filing. Systemic injuries were an additional driver of final monetary compensation among miners. Miners were compensated $618 less (total monetary compensation; confidence interval 95%: -971, -266; P < 0.001), had 2.1 more weeks away from work (TTD; confidence interval 95%: 1.58, 2.63; P < 0.001), and had higher numbers of systemic injuries than non-miners.
  
  
  CONCLUSIONS
  Systemic injuries are important drivers for TWC in miners in terms of median compensation and TTD.
authors.affiliation: Division of Environmental and Occupational Health Sciences (Drs Mabila, Gracia, Cohen, Almberg, Friedman), School of Public Health, University of Illinois, Chicago, Illinois.
authors.forename: Sithembile L
authors.initials: SL
authors.lastname: Mabila
authors.forename: Gabriela
authors.initials: G
authors.lastname: Gracia
authors.forename: Robert
authors.initials: R
authors.lastname: Cohen
authors.forename: Kirsten
authors.initials: K
authors.lastname: Almberg
authors.forename: Lee S
authors.initials: LS
authors.lastname: Friedman
mesh_terms: D000328:Adult; D000368:Aged; D016208:Databases, Factual; D004185:Disability Evaluation; D005260:Female; D006801:Humans; D007087:Illinois / Q000453:epidemiology; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D008906:Mining; D015999:Multivariate Analysis; D060051:Occupational Injuries / Q000191:economics / Q000453:epidemiology* / Q000209:etiology; D014942:Workers' Compensation / Q000706:statistics & numerical data*