Socioeconomic status during youth and risk of car crash during adulthood. Findings from the DRIVE cohort study.

Mőller, H; Rogers, K; Cullen, P; Senserrick, T; Boufous, S; Ivers, R

Socioeconomic status during youth and risk of car crash during adulthood. Findings from the DRIVE cohort study.

Mőller, H Rogers, K

Cullen, P Senserrick, T Boufous, S Ivers, R

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Publisher:: BMJ Publishing Group
Publication Type:: Journal Article
Citation:: Journal of Epidemiology and Community Health, 2021, 75, (8), pp. 755-763
Issue Date:: 2021-08

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Field	Value	Language
dc.contributor.author	Mőller, H
dc.contributor.author	Rogers, K https://orcid.org/0000-0001-5497-4298
dc.contributor.author	Cullen, P
dc.contributor.author	Senserrick, T
dc.contributor.author	Boufous, S
dc.contributor.author	Ivers, R
dc.date.accessioned	2021-11-26T04:06:08Z
dc.date.available	2020-12-20
dc.date.available	2021-11-26T04:06:08Z
dc.date.issued	2021-08
dc.identifier.citation	Journal of Epidemiology and Community Health, 2021, 75, (8), pp. 755-763
dc.identifier.issn	0143-005X
dc.identifier.issn	1470-2738
dc.identifier.uri	http://hdl.handle.net/10453/151866
dc.description.abstract	Background Young drivers of low socioeconomic status (SES) have a disproportionally high risk of crashing compared with their more affluent counterparts. Little is known if this risk persists into adulthood and if it differs between men and women. Methods We used data from a 2003/2004 Australian survey of young drivers (n=20 806), which included measures of drivers’ demographics and established crash risk factors. These data were linked to police-reported crash, hospital and death data up to 2016. We used negative binomial regression models to estimate the association between participants’ SES, with car crash. Results After adjusting for confounding, drivers of lowest SES had 1.30 (95% CI 1.20 to 1.42), 1.90 (95% CI 1.25 to 2.88), 3.09 (95% CI 2.41 to 3.95) and 2.28 (95% CI 1.85 to 2.82) times higher rate of crash, crash-related hospitalisation, crash in country areas and crash on streets with a speed limit of 80 km/hour or above compared with drivers of highest SES, respectively. For single-vehicle crashes, women in the lowest SES groups had 2.88 (95% CI 1.83 to 4.54) times higher rate of crash compared with those in the highest SES group, but no differences were observed for men from different SES groups. Conclusion Young drivers who lived in areas of low SES at the time of the survey had a sustained increased risk of crash over the following 13 years compared with drivers from the most affluent areas. Our findings suggest that in addition to traditional measures, road transport injury prevention needs to consider the wider social determinants of health.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	BMJ Publishing Group
dc.relation	http://purl.org/au-research/grants/nhmrc/GNT1134894
dc.relation.ispartof	Journal of Epidemiology and Community Health
dc.relation.isbasedon	10.1136/jech-2020-214083
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1117 Public Health and Health Services, 1604 Human Geography
dc.subject.classification	Epidemiology
dc.subject.mesh	Accidents, Traffic
dc.subject.mesh	Adolescent
dc.subject.mesh	Adult
dc.subject.mesh	Australia
dc.subject.mesh	Automobile Driving
dc.subject.mesh	Automobiles
dc.subject.mesh	Cohort Studies
dc.subject.mesh	Female
dc.subject.mesh	Humans
dc.subject.mesh	Male
dc.subject.mesh	Risk Factors
dc.subject.mesh	Social Class
dc.subject.mesh	Humans
dc.subject.mesh	Risk Factors
dc.subject.mesh	Cohort Studies
dc.subject.mesh	Accidents, Traffic
dc.subject.mesh	Social Class
dc.subject.mesh	Automobile Driving
dc.subject.mesh	Automobiles
dc.subject.mesh	Adolescent
dc.subject.mesh	Adult
dc.subject.mesh	Australia
dc.subject.mesh	Female
dc.subject.mesh	Male
dc.subject.mesh	Accidents, Traffic
dc.subject.mesh	Adolescent
dc.subject.mesh	Adult
dc.subject.mesh	Australia
dc.subject.mesh	Automobile Driving
dc.subject.mesh	Automobiles
dc.subject.mesh	Cohort Studies
dc.subject.mesh	Female
dc.subject.mesh	Humans
dc.subject.mesh	Male
dc.subject.mesh	Risk Factors
dc.subject.mesh	Social Class
dc.title	Socioeconomic status during youth and risk of car crash during adulthood. Findings from the DRIVE cohort study.
dc.type	Journal Article
utslib.citation.volume	75
utslib.location.activity	England
utslib.for	1117 Public Health and Health Services
utslib.for	1604 Human Geography
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2021-11-26T04:06:07Z
pubs.issue	8
pubs.publication-status	Published
pubs.volume	75
utslib.citation.issue	8

Abstract:

Background Young drivers of low socioeconomic status (SES) have a disproportionally high risk of crashing compared with their more affluent counterparts. Little is known if this risk persists into adulthood and if it differs between men and women. Methods We used data from a 2003/2004 Australian survey of young drivers (n=20 806), which included measures of drivers’ demographics and established crash risk factors. These data were linked to police-reported crash, hospital and death data up to 2016. We used negative binomial regression models to estimate the association between participants’ SES, with car crash. Results After adjusting for confounding, drivers of lowest SES had 1.30 (95% CI 1.20 to 1.42), 1.90 (95% CI 1.25 to 2.88), 3.09 (95% CI 2.41 to 3.95) and 2.28 (95% CI 1.85 to 2.82) times higher rate of crash, crash-related hospitalisation, crash in country areas and crash on streets with a speed limit of 80 km/hour or above compared with drivers of highest SES, respectively. For single-vehicle crashes, women in the lowest SES groups had 2.88 (95% CI 1.83 to 4.54) times higher rate of crash compared with those in the highest SES group, but no differences were observed for men from different SES groups. Conclusion Young drivers who lived in areas of low SES at the time of the survey had a sustained increased risk of crash over the following 13 years compared with drivers from the most affluent areas. Our findings suggest that in addition to traditional measures, road transport injury prevention needs to consider the wider social determinants of health.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/151866