Bicycle helmet use patterns among children.
OBJECTIVE
To describe and evaluate the helmet use patterns of children younger than 15 years of age in the United States.


METHODS
A national telephone survey of bicycle riders was conducted by means of the Mitofsky-Waksberg method of random-digit dialing, a survey method intended to give all telephone numbers in the continental United States an equal probability of selection. Based on information collected in the survey, a logistic regression model was used to determine and quantify the factors associated with helmet use.


RESULTS
Information was collected on the bicycle and helmet use patterns of a national sample of 399 children younger than 15 years of age who rode bicycles during the year preceding the survey. This sample projects to the approximately 26.4 million children who are estimated to have ridden bicycles in 1991. About 26% of all child riders owned or had the use of bicycle helmets, and about 15% were reported to have used their helmets all or more than half of the time when riding. Information is provided on the reasons the children did or did not wear helmets. The logistic regression analysis shows that helmet use by children is systematically related to their personal characteristics (e.g., age and whether they had previously had bicycle-related accidents requiring medical attention), riding patterns (e.g., riding surface), and household demographic characteristics (e.g., geographic location and whether household members had attended college).


CONCLUSIONS
Helmet use rates among children remain low. Less than one fifth of the children who rode bicycles wore helmets all or more than half of the time in 1991. However, based on comparisons with earlier studies, the results of the analysis suggest that helmet use rates have been rising.
Rodgers
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Us Consumer Product Safety Commission, Washington, DC 20207, USA.
D000293:Adolescent; D001642:Bicycling; D002648:Child; D002675:Child, Preschool; D005260:Female; D006260:Head Protective Devices / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male