Objectives: Assess the association of helmet use with motorcycle crash mortality and identify characteristics of riders who do not wear helmets in Connecticut crashes.
Methods: Police crash data for Connecticut motorcycle crashes 2001-2007 were analyzed. Bivariate analysis and multivariable logistic regressions were performed including age, gender, seating position, road type, season, time of day, and recklessness.
Results: Of the 9,214 crashes with helmet use data available, helmets were worn in 4072 (44.2%). Non-helmeted riders, age > or =18, riding interstate or state roads, in the evening or at night, and who were riding recklessly were associated with higher odds of fatality. Predictors of nonhelmet use included males, passengers, age <18 or 30 to 59, and riding in the summer, eveningor at night, and on U.S., state, and localroads.
Conclusion: Current crash data affirm that helmets reduce fatal crashes in Connecticut. A set of factors help predict nonhelmeted riders to whom safety training could be targeted.