Literature DB >> 31283363

Trends and patterns in fatal US motorcycle crashes, 2000-2016.

Urmimala Chaudhuri1, Kendra L Ratnapradipa2,3, Sijun Shen2,3, Thomas M Rice4, Gary A Smith2,3,5, Motao Zhu2,3,5.   

Abstract

Objective: To investigate trends of motorcyclist fatalities and identify at-risk populations by motorcyclist demographics and crash characteristics.
Methods: We used the Fatality Analysis Reporting System (FARS) database (2000-2016) to track fatality rate trends, which were quantified by using Poisson mixed-effects regression models comparing 2000-2001 and 2007-2008, as well as 2009-2010 and 2015-2016.
Results: The overall fatality rate per 100,000 population increased from 2000 to 2016, defined by two trend lines-before and after the economic recession in 2008-2009. The overall fatality rate ratio between 2000-2001 and 2007-2008 was 1.60 [95% Confidence Interval (CI): 1.51-1.70], and between 2009-2010 and 2015-2016 was 1.09 (95% CI: 1.02-1.18). Fatality rates increased among all age groups, particularly for motorcyclists aged 60 and older. Those aged 18-29 had the highest fatality rates overall. Age-and-sex standardized state fatality rates were consistently highest in Wyoming, South Dakota, and South Carolina and lowest in Massachusetts, New York and New Jersey.
Conclusion: Motorcycle fatality rates increased overall and across all age groups between 2000 and 2016. Fatalities for the oldest riders showed the steadiest increasing trends. Results highlight the continued public health burden of motorcyclist fatalities and, by extension, the importance of improving motorcycle safety.

Entities:  

Keywords:  Motorcycle; age; fatality; trends

Mesh:

Year:  2019        PMID: 31283363      PMCID: PMC6706857          DOI: 10.1080/15389588.2019.1628224

Source DB:  PubMed          Journal:  Traffic Inj Prev        ISSN: 1538-9588            Impact factor:   1.491


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6.  Older Motorcyclists in Ireland.

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7.  Novelty helmet use and motorcycle rider fatality.

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9.  Rising gasoline prices increase new motorcycle sales and fatalities.

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10.  Mortality from motorcycle crashes: the baby-boomer cohort effect.

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1.  Comparing distance and time as driving exposure measures to evaluate fatal crash risk ratios.

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