Samuel N Forjuoh1, Troy Fiesinger, John A Schuchmann, Saundra Mason. 1. Department of Family Medicine, Scott and White Memorial Hospital, Scott, Sherwood, and Brindley Foundation, Texas A & M University System Health Science Center, College of Medicine, Temple, USA. sforjuoh@swmail.sw.org
Abstract
OBJECTIVE: To compare the distribution and observation of helmet use patterns among 4 common childhood leisure activities-bicycle riding, in-line skating, skateboarding, and scooter riding-in a setting with no helmet use legislation. DESIGN: A cross-sectional, unobtrusive, direct observation of children engaged in 1 of the 4 activities was conducted during an 8-week period. SETTING: Eight communities of at least 1000 persons each in a 2-county Central Texas area. MAIN OUTCOME MEASURES: Prevalence of activity, helmet use, and correct helmet use. RESULTS: Of 841 children observed, most rode bicycles (74.8%); only 4.2% rode skateboards. They included 127 children estimated to be younger than 6 years (15.1%) and 495 estimated to be aged between 6 and 12 years (58.9%). Most were male (67.3%) and observed in urban communities (61.7%). The locations of highest concentration of the 4 activities were minor streets for bicycle riding, playgrounds for in-line skating, and sidewalks for skateboarding and scooter riding. The rate of overall helmet use was 13.6% and did not vary significantly by activity: in-line skating, 18.2%; skateboarding, 14.3%; bicycle riding, 13.5%; and scooter riding, 11.5%. However, the observed correct helmet use prevalence of 72.6% differed significantly by activity. Most children riding scooters wore their helmets incorrectly. Helmet use was positively associated with helmet use by accompanying children and/or adults. CONCLUSIONS: While bicycle riding was the most popular activity observed, helmet use was most prevalent among in-line skaters and least prevalent among scooter riders, many of whom also wore them incorrectly. Observed helmet use was influenced mostly by adult and peer helmet use, indicating that public education and interventions should target children and their parents as well as scooter riders.
OBJECTIVE: To compare the distribution and observation of helmet use patterns among 4 common childhood leisure activities-bicycle riding, in-line skating, skateboarding, and scooter riding-in a setting with no helmet use legislation. DESIGN: A cross-sectional, unobtrusive, direct observation of children engaged in 1 of the 4 activities was conducted during an 8-week period. SETTING: Eight communities of at least 1000 persons each in a 2-county Central Texas area. MAIN OUTCOME MEASURES: Prevalence of activity, helmet use, and correct helmet use. RESULTS: Of 841 children observed, most rode bicycles (74.8%); only 4.2% rode skateboards. They included 127 children estimated to be younger than 6 years (15.1%) and 495 estimated to be aged between 6 and 12 years (58.9%). Most were male (67.3%) and observed in urban communities (61.7%). The locations of highest concentration of the 4 activities were minor streets for bicycle riding, playgrounds for in-line skating, and sidewalks for skateboarding and scooter riding. The rate of overall helmet use was 13.6% and did not vary significantly by activity: in-line skating, 18.2%; skateboarding, 14.3%; bicycle riding, 13.5%; and scooter riding, 11.5%. However, the observed correct helmet use prevalence of 72.6% differed significantly by activity. Most children riding scooters wore their helmets incorrectly. Helmet use was positively associated with helmet use by accompanying children and/or adults. CONCLUSIONS: While bicycle riding was the most popular activity observed, helmet use was most prevalent among in-line skaters and least prevalent among scooter riders, many of whom also wore them incorrectly. Observed helmet use was influenced mostly by adult and peer helmet use, indicating that public education and interventions should target children and their parents as well as scooter riders.
Authors: Susan K Riesch; Karen Kedrowski; Roger L Brown; Barbara Myers Temkin; Kevin Wang; Jeffrey Henriques; Gloria Jacobson; Nina Giustino-Kluba Journal: Int J Nurs Stud Date: 2012-11-21 Impact factor: 5.837