Literature DB >> 29981062

Examining the association between area level deprivation and vehicle collisions that result in injury.

Khrisha B Alphonsus1, Cheryl Waldner1,2, Daniel Fuller3.   

Abstract

OBJECTIVE: The objective of this study was to examine the association between area level deprivation and vehicle collisions resulting in either property damage or injury.
METHODS: A multilevel observational study was conducted using the 2000 to 2010 Saskatchewan Traffic Accident Information System (TAIS) (n = 72,234) and 2006 Census data at the Dissemination Area level (n = 337) for the city of Saskatoon.
RESULTS: Total area level deprivation was associated with severity of traffic collisions, but the association varied based on time of day and road repair status. Collisions were more likely to result in injury from the most deprived (Q5) versus the least deprived quintile (Q1) at all times of day; the difference was greatest in the evening (OR 1.7, 95% CI 1.3 to 2.3). However, there was no other evidence of a monotonic increase in risk associated with area level deprivation. When there were faded markings or potholes, the odds of a collision involving injury were 2.6 (95% CI 1.5 to 4.4) times greater for the most deprived quintile compared to the least deprived quintile. There were no significant differences in the risk of injury between area level deprivation quintiles when road conditions were good.
CONCLUSION: While the association between area level deprivation and whether vehicle collisions result in injury in Saskatoon varies based on time of day and road repairs, under many circumstances the most deprived areas report more injuries from collisions compared to the least deprived.

Entities:  

Keywords:  Socioeconomic status; Total deprivation; Vehicle collisions

Mesh:

Year:  2018        PMID: 29981062     DOI: 10.17269/s41997-018-0036-7

Source DB:  PubMed          Journal:  Can J Public Health        ISSN: 0008-4263


  1 in total

1.  Household income, active travel, and their interacting impact on body mass index in a sample of urban Canadians: a Bayesian spatial analysis.

Authors:  Hui Luan; Dana Ramsay; Daniel Fuller
Journal:  Int J Health Geogr       Date:  2019-02-06       Impact factor: 3.918

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.