Literature DB >> 8579700

Risk factors for injury: similarities and differences for traffic crashes and other causes.

M L Chipman1.   

Abstract

Actions to prevent injury may address either individual behaviour or population practice. Factors associated with injuries in a variety of circumstances may be best suited to prevention at the level of population whereas more specific causes would not be. Data from the Ontario Health Survey were used to assess the similarities and differences between risk factors and injury in traffic crashes, at work and in other circumstances. Respondents reporting injury were compared with age- and sex-matched controls reporting no injury for reported alcohol ingestion, binge drinking and drinking and driving. In addition, data on the use of licit and illicit drugs, occupation and other demographic factors were compared. Variables showing consistent associations with injury included drug use, some measures of alcohol ingestion and reports of co-existing chronic disease. Many variables showed a variable pattern, including occupation, education and income. In many instances, these differences reflected differences in exposure to risk. Efforts at prevention related to alcohol or medication could be broadly based, whereas for other factors, more targeted prevention efforts would be appropriate.

Entities:  

Mesh:

Year:  1995        PMID: 8579700     DOI: 10.1016/0001-4575(95)00013-p

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  9 in total

1.  On the high road: driving under the influence of cannabis in Ontario.

Authors:  G W Walsh; R E Mann
Journal:  Can J Public Health       Date:  1999 Jul-Aug

2.  The reliability and validity of the self-reported drinking measures in the Army's Health Risk Appraisal survey.

Authors:  Nicole S Bell; Jeffrey O Williams; Laura Senier; Shelley R Strowman; Paul J Amoroso
Journal:  Alcohol Clin Exp Res       Date:  2003-05       Impact factor: 3.455

3.  Fatigue as a risk factor for being injured in an occupational accident: results from the Maastricht Cohort Study.

Authors:  G M H Swaen; L G P M Van Amelsvoort; U Bültmann; I J Kant
Journal:  Occup Environ Med       Date:  2003-06       Impact factor: 4.402

4.  Non-fatal work related injuries in a cohort of Brazilian steelworkers.

Authors:  M J Schoemaker; S M Barreto; A J Swerdlow; C D Higgins; R G Carpenter
Journal:  Occup Environ Med       Date:  2000-08       Impact factor: 4.402

5.  Occurrence and risk factors of unintentional injuries among 12- to 18-year-old Finns--a survey of 8219 adolescents.

Authors:  Ville Mattila; Jari Parkkari; Pekka Kannus; Arja Rimpelä
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

6.  Motor vehicle driver injury and socioeconomic status: a cohort study with prospective and retrospective driver injuries.

Authors:  G Whitlock; R Norton; T Clark; M Pledger; R Jackson; S MacMahon
Journal:  J Epidemiol Community Health       Date:  2003-07       Impact factor: 3.710

7.  Being "at fault" in traffic crashes: does alcohol, cannabis, cocaine, or polydrug abuse make a difference?

Authors:  M L Chipman; S Macdonald; R E Mann
Journal:  Inj Prev       Date:  2003-12       Impact factor: 2.399

8.  Non-fatal occupational falls on the same level.

Authors:  Han T Yeoh; Thurmon E Lockhart; Xuefang Wu
Journal:  Ergonomics       Date:  2012-12-10       Impact factor: 2.778

Review 9.  Exploring drug-target interaction networks of illicit drugs.

Authors:  Ravi V Atreya; Jingchun Sun; Zhongming Zhao
Journal:  BMC Genomics       Date:  2013-10-01       Impact factor: 3.969

  9 in total

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