title: Determinants of agricultural injury: a novel application of population health theory.
abstract: OBJECTIVE
  (1) To apply novel population health theory to the modelling of injury experiences in one particular research context. (2) To enhance understanding of the conditions and practices that lead to farm injury.
  
  
  METHODS
  Prospective, cohort study conducted over 2&emsp14;years (2007-09).
  
  
  METHODS
  50 rural municipalities in the Province of Saskatchewan, Canada.
  
  
  METHODS
  5038 participants from 2169 Saskatchewan farms, contributing 10,092 person-years of follow-up.
  
  
  METHODS
  Individual exposure: self-reported times involved in farm work. Contextual factors: scaled measures describe socioeconomic, physical, and cultural farm environments.
  
  
  RESULTS
  time to first self-reported farm injury.
  
  
  RESULTS
  450 farm injuries were reported for 370 individuals on 338 farms over 2 years of follow-up. Times involved in farm work were strongly and consistently related to time to first injury event, with strong monotonic increases in risk observed between none, part-time, and full-time work hour categories. Relationships between farm work hours and time to first injury were not modified by the contextual factors. Respondents reporting high versus low levels of physical farm hazards at baseline experienced increased risks for farm injury on follow-up (HR 1.54; 95% CI 1.16 to 1.47).
  
  
  CONCLUSIONS
  Based on study findings, firm conclusions cannot be drawn about the application of population health theory to the study of farm injury aetiology. Injury prevention efforts should continue to focus on: (1) sound occupational health and safety practices associated with long work hours; (2) physical risks and hazards on farms.
authors.affiliation: Department of Community Health and Epidemiology, Queen's University, Kingston, Canada. will.pickett@queensu.ca
authors.forename: William
authors.initials: W
authors.lastname: Pickett
authors.forename: Louise M
authors.initials: LM
authors.lastname: Hagel
authors.forename: Andrew G
authors.initials: AG
authors.lastname: Day
authors.forename: Lesley
authors.initials: L
authors.lastname: Day
authors.forename: Xiaoqun
authors.initials: X
authors.lastname: Sun
authors.forename: Robert J
authors.initials: RJ
authors.lastname: Brison
authors.forename: Barbara L
authors.initials: BL
authors.lastname: Marlenga
authors.forename: Matthew
authors.initials: M
authors.lastname: King
authors.forename: Trever
authors.initials: T
authors.lastname: Crowe
authors.forename: Punam
authors.initials: P
authors.lastname: Pahwa
authors.forename: Niels
authors.initials: N
authors.lastname: Koehncke
authors.forename: James
authors.initials: J
authors.lastname: Dosman
mesh_terms: D000062:Accidents, Occupational / Q000145:classification / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000383:Agriculture / Q000706:statistics & numerical data*; D002648:Child; D002675:Child, Preschool; D015331:Cohort Studies; D003627:Data Interpretation, Statistical; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008875:Middle Aged; D016272:Occupational Health / Q000706:statistics & numerical data*; D011446:Prospective Studies; D018570:Risk Assessment; D012423:Rural Health / Q000592:standards* / Q000706:statistics & numerical data; D012525:Saskatchewan / Q000453:epidemiology; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D014947:Wounds and Injuries / Q000453:epidemiology* / Q000209:etiology; D055815:Young Adult