Injury patterns and severity among motorcyclists treated in US emergency departments, 2001-2008: a comparison of younger and older riders

Inj Prev. 2013 Oct;19(5):297-302. doi: 10.1136/injuryprev-2012-040619. Epub 2013 Feb 6.

Abstract

Objective: To examine differences across age groups in patterns of injuries sustained from motorcycle crashes.

Methods: Cross-sectional data from the National Electronic Injury Surveillance System-All Injury Program were used to assess emergency department-treated injuries resulting from motorcycle crashes in the USA from 2001 to 2008. Trends in injury frequency, the types of injuries and severity of injuries sustained among those aged 20-39 years, 40-59 years, and 60 years and older were compared.

Results: An estimated 65 660 patients 60 years and older, 466 125 patients aged 40-59 years and 921 229 patients aged 20-39 years were treated in US emergency rooms for injuries sustained in motorcycle crashes from 2001 to 2008. The number of injuries increased in all groups from 2001 to 2008, with the greatest rate of increase occurring in the oldest age group. Older adults had the greatest odds of hospitalisation with a threefold increased rate of hospitalisation (OR=3.05; 95% CI 2.58 to 3.59) compared with younger adults. Middle age adults had a nearly twofold increased odds of hospitalisation (OR=1.89; 95% CI 1.70 to 2.11; p<0.0001) compared with younger adults. Analysis of injury severity showed a similar pattern with both older adults (OR=2.46; 95% CI 2.02 to 3.01) and middle age adults (OR=1.66, 95% CI 1.52 to 1.82) having significantly increased odds of severe injury compared with young adults.

Conclusions: Older adults involved in motorcycle crashes are prone to more severe injuries than younger adults. The increased number of older adults riding motorcycles should put further focus on risk of injury to this population.

MeSH terms

  • Accidents, Traffic / statistics & numerical data*
  • Adult
  • Age Factors
  • Cross-Sectional Studies
  • Emergency Service, Hospital / statistics & numerical data*
  • Female
  • Hospitalization / statistics & numerical data
  • Humans
  • Injury Severity Score*
  • Male
  • Middle Aged
  • Motorcycles / statistics & numerical data*
  • United States / epidemiology
  • Wounds and Injuries / epidemiology*
  • Young Adult