STUDY OBJECTIVE: To investigate the association between motor vehicle driver injury and socioeconomic status. DESIGN: Cohort study with prospective and retrospective outcomes. SETTING: New Zealand. PARTICIPANTS: 10 525 adults (volunteer sample of a multi-industry workforce, n=8008; and a random sample of urban electoral rolls, n=2517). OUTCOME MEASURE: Motor vehicle driver injury resulting in admission of the driver to hospital or the driver's death, or both, during the period 1988-98; hospitalisation and mortality data were obtained by record linkage to national health databases. MAIN RESULTS: After adjustment for age and sex, driver injury risk was inversely associated with both occupational status (p for linear trend <0.0001) and educational level (p for linear trend =0.007). Participants in the lowest approximate quartile of occupational status were four times as likely (HR 4.17, 95% CI 2.31 to 7.55) to have experienced a driver injury during follow up as participants in the highest approximate quartile. Participants who had been to secondary school for less than two years were twice as likely (HR 2.26, 95% CI 1.34 to 3.81) to have experienced a driver injury as those who had been to university or polytechnic. There was little evidence that driver injury risk was associated with neighbourhood income (p for linear trend =0.12) CONCLUSIONS: Occupational status and educational level seem to be important determinants of driver injury risk. Driver injury countermeasures should be targeted to people in low status occupations, as well as to people with comparatively little formal education.
STUDY OBJECTIVE: To investigate the association between motor vehicle driver injury and socioeconomic status. DESIGN: Cohort study with prospective and retrospective outcomes. SETTING: New Zealand. PARTICIPANTS: 10 525 adults (volunteer sample of a multi-industry workforce, n=8008; and a random sample of urban electoral rolls, n=2517). OUTCOME MEASURE: Motor vehicle driver injury resulting in admission of the driver to hospital or the driver's death, or both, during the period 1988-98; hospitalisation and mortality data were obtained by record linkage to national health databases. MAIN RESULTS: After adjustment for age and sex, driver injury risk was inversely associated with both occupational status (p for linear trend <0.0001) and educational level (p for linear trend =0.007). Participants in the lowest approximate quartile of occupational status were four times as likely (HR 4.17, 95% CI 2.31 to 7.55) to have experienced a driver injury during follow up as participants in the highest approximate quartile. Participants who had been to secondary school for less than two years were twice as likely (HR 2.26, 95% CI 1.34 to 3.81) to have experienced a driver injury as those who had been to university or polytechnic. There was little evidence that driver injury risk was associated with neighbourhood income (p for linear trend =0.12) CONCLUSIONS: Occupational status and educational level seem to be important determinants of driver injury risk. Driver injury countermeasures should be targeted to people in low status occupations, as well as to people with comparatively little formal education.
Authors: P Michelozzi; C A Perucci; F Forastiere; D Fusco; C Ancona; V Dell'Orco Journal: J Epidemiol Community Health Date: 1999-11 Impact factor: 3.710
Authors: Aaron L Baggish; Rory B Weiner; Gen Kanayama; James I Hudson; Michael T Lu; Udo Hoffmann; Harrison G Pope Journal: Circulation Date: 2017-05-23 Impact factor: 29.690
Authors: Patrick R Olson; Jon D Lurie; John Frymoyer; Thomas Walsh; Wenyan Zhao; Tamara S Morgan; William A Abdu; James N Weinstein Journal: Spine (Phila Pa 1976) Date: 2011-12-15 Impact factor: 3.468
Authors: Ville M Mattila; Mirjami Pelkonen; Markus Henriksson; Mauri Marttunen Journal: Soc Psychiatry Psychiatr Epidemiol Date: 2008-04-03 Impact factor: 4.328
Authors: Joseph J Knapik; Bria Graham; Jacketta Cobbs; Diane Thompson; Ryan Steelman; Bruce H Jones Journal: J Occup Med Toxicol Date: 2013-03-05 Impact factor: 2.646
Authors: Olga Vikhireva; Hynek Pikhart; Andrzej Pajak; Ruzena Kubinova; Sofia Malyutina; Anne Peasey; Roman Topor-Madry; Yuri Nikitin; Michael Marmot; Martin Bobak Journal: Eur J Public Health Date: 2009-12-03 Impact factor: 3.367