title: Tractor-related injuries: a population-based study of a five-state region in the Midwest.
abstract: BACKGROUND
  Tractor-related injuries are among the most severe of agricultural injuries. This study identifies the incidence, consequences, and potential risk factors for tractor injuries among 3,765 agricultural households in a five-state region.
  
  
  METHODS
  Demographic, injury, and exposure data were collected for two 6-month recall periods in 1999 using computer assisted telephone interviews. A causal model served as a basis for survey design, data analysis, and interpretation of results; associated directed acyclic graphs guided development of multivariate models.
  
  
  RESULTS
  The overall injury rate was 9.6 events per 1,000 persons per year. Increased personal risk was observed for males and prior agricultural injury experience. Compared with ages 35-44, decreased risks were identified for those less than 5, 5-9, 10-14, 15-19, and 20-24.
  
  
  CONCLUSIONS
  Risk of tractor injury among agricultural household members varied by gender, age, and prior injury experience. .
authors.affiliation: Regional Injury Prevention Research Center, Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455, USA.
authors.forename: Kathleen Ferguson
authors.initials: KF
authors.lastname: Carlson
authors.forename: Susan Goodwin
authors.initials: SG
authors.lastname: Gerberich
authors.forename: Timothy R
authors.initials: TR
authors.lastname: Church
authors.forename: Andrew D
authors.initials: AD
authors.lastname: Ryan
authors.forename: Bruce H
authors.initials: BH
authors.lastname: Alexander
authors.forename: Steven J
authors.initials: SJ
authors.lastname: Mongin
authors.forename: Colleen M
authors.initials: CM
authors.lastname: Renier
authors.forename: Xueying
authors.initials: X
authors.lastname: Zhang
authors.forename: L Ronald
authors.initials: LR
authors.lastname: French
authors.forename: Ann
authors.initials: A
authors.lastname: Masten
mesh_terms: D000062:Accidents, Occupational / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000382:Agricultural Workers' Diseases / Q000453:epidemiology*; D000383:Agriculture / Q000706:statistics & numerical data*; D002648:Child; D002675:Child, Preschool; D004812:Epidemiologic Methods; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015146:Midwestern United States / Q000453:epidemiology; D018986:Motor Vehicles / Q000706:statistics & numerical data*; D012737:Sex Factors; D014947:Wounds and Injuries / Q000453:epidemiology*