Bicycle helmet use among children in the United States: The effects of legislation, personal and household factors

Dellinger, Ann M.; Kresnow, Marcie-jo

doi:10.1016/j.jsr.2010.05.003

Cited by 51 publications

(31 citation statements)

References 26 publications

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“…Wearing a bicycle helmet while cycling is one of the most effective measures for preventing bicycle-related injuries (Amoros, Chiron, Martin, Thelot, & Laumon, 2012;Dellinger & Kresnow, 2010;Pennsylvania Department of Health, 1994;Thompson, Rivara, & Thompson, 1989;Thompson, Rivara, & Thompson, 1999). A Cochrane review revealed that helmet use reduces head, brain and severe brain injuries by 63-88% (Thompson et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

Factors associated with bicycle-helmet use among 8–16 years aged Turkish children: a questionnaire survey

Seçginli

Coşansu

Nahcivan

2013

International Journal of Injury Control and Safety Promotion

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The purpose of this cross-sectional, descriptive study was to assess the rates of helmet and to examine variables related to bicycle helmet use in a sample of 8-16 year old Turkish children. Data were collected from a purposive sample of 1180 students who self-identified as cyclists and 1128 parents or guardians in two state primary schools in two urban municipalities in the northern part of Istanbul, Turkey. Results showed that self-reported helmet use was found prevalent in 4.4% of the children. The most cited reasons for not wearing a helmet were: 'don't own one', 'helmets are uncool', and 'uncomfortable'. Significant differences between helmet users and non-users correlated to gender, age, owning a bicycle helmet, wearing a friend's bicycle helmet and parents or guardian's bicycle helmet use while riding. Only three variables--helmet ownership (OR = 10.028, 95% CI 5.08, 19.79), parents' helmet use (OR = 2.62, 95% CI 1.22, 5.66) and friends' helmet use (OR = 0.16, 95% CI 0.07, 0.37) emerged as significant predictors of the likelihood of helmet use. The relatively low helmet use prevalence points to an urgent need for a multipronged campaign, including strategies such as raising awareness, educating primarly parents and friends, and distributing bicycle helmets for free or at a reduced cost.

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Section: Introductionmentioning

confidence: 99%

Factors associated with bicycle-helmet use among 8–16 years aged Turkish children: a questionnaire survey

Seçginli

Coşansu

Nahcivan

2013

International Journal of Injury Control and Safety Promotion

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“…T. Ross et al, 2011), and Caucasian college students recalled stronger helmet rules growing up Downloaded by [McGill University Library] at 08:38 21 November 2014 compared to non-Caucasian peers (L. T. Ross, Ross, Cataldo, & Rahman, 2008) . Furthermore, children who grow up with more parental income and more parental education in the home are more likely to wear helmets (Dellinger & Kresnow, 2010) and observational research suggests more helmet usage in higher socioeconomic neighborhoods (Parkin, Khamalia, & Macarthur, 2003). Therefore, it is possible there are ethnic differences and socioeconomic status differences for parenting expectations as well.…”

Section: Discussionmentioning

confidence: 99%

“…However, if the ultimate goal is higher helmet use rates, these activities should be accompanied by helmet legislation. Implementing state, provincial, or local laws is associated with increased helmet use, according to research based on both survey data (Dannenberg, Gielen, Beilenson, Wilson, & Downloaded by [McGill University Library] at 08:38 21 November 2014 Joffe, 1993;Dellinger & Kresnow, 2010;Caplow & Runyan, 1995) and observational data (Dannenber et al, 1993;Karkhaneh, Rowe, Saunders, Voaklander, & Hagel, 2011). Despite the effectiveness of helmet use legislation, and despite strong parental support for legislating bicycle helmets for children (Caplow & Runyan, 1995;Lohse, 2003;Ortega et al, 2004), currently only 22 states (including the District of Columbia) have statewide laws (Bicycle Helmet Safety Institute, 2012).…”

Section: Discussionmentioning

confidence: 99%

“…Using a national telephone survey, 48% of children aged 5-14 were reported by parents to always wear their helmet, compared to 23% who reported sometimes and 29% never (Dellinger & Kresnow, 2010). These data were collected in 2001-2003. Other national estimates suggest 15-20% of children aged 15 and younger wear helmets most of the time (Klein, Thompson, Scheidt, Overpeck, & Gross, 2005;Rodgers, 1996), and 15% of high school students wear helmets sometimes, often, or always (CDC, 2012b).…”

Section: Please Scroll Down For Articlementioning

confidence: 99%

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Parenting Influences on Bicycle Helmet Rules and Estimations of Children's Helmet Use

Ross

Brinson

Ross

2013

The Journal of Psychology

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The present study examined the potential relationship between parenting variables and estimations of children's bicycle helmet use. Parents (N = 121) completed surveys asking about parental monitoring and questions about their bicycle habits and attitudes, as well as their expectations for their children to wear a helmet and their estimation of how often their children wear a helmet. Parents reported stronger helmet rules for their children who are beginning cyclists rather than experienced cyclists, and rules for experienced cyclists were more strongly endorsed among parents who reported more parental monitoring as well. Parents who wear helmets themselves endorsed stronger helmet rules for their experienced riders, compared to parents who do not wear helmets. Parents without helmet rules reported more peer pressure in that they were more likely to agree that their friends do not make their kids wear helmets and that their child's friends do not wear helmets. In addition, believing other parents do not wear helmets and believing one's child's friends do not wear helmets were both associated with a lower likelihood that their children wear a helmet. This appears to be the first study linking perceptions of parental peer pressure with helmet rules and use. For public health reasons, it is imperative to examine parental factors that may establish children's helmet wearing.

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“…In the United States, 48% of children always use helmet, 23% sometimes use it and 29% never use it, it means that over 50% of children are in danger when they ride bicycle. The use rate is associated with race, age and ethnicity, but no relationship with sex of child [10]. Another research reveals in the paper about relationship between helmet use pattern and household demographics that the riders who are college graduates are about three times more wear helmets than people who graduated only high school [11].…”

Section: Background Bicycle Accident Analysismentioning

confidence: 99%

Development of Bicycle Throw Distance Estimation Model Based on Akaike Information Criterion Statistical Method

Yoon¹,

Cherry²

2015

Ergonomics

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As the number of bicyclists is gradually increased, it is important to develop more accurate accident reconstruction model to response bicycle accidents with vehicles. There have been research works to reconstruct bicycle accident by using estimated vehicle impact speed and simulation methods. However, there are limitations that the models do not consider other significant factors that may affect bicycle throw distance including road friction, vehicle gross weight, engine hood types, and other factors. This study aims to develop the improved reconstruction model to estimate vehicle impact speed better. The results that utilize the statistical analysis and real accident data show that the road friction needs to be considered with vehicle impact speed to reconstruct the accident more accurately.

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Bicycle helmet use among children in the United States: The effects of legislation, personal and household factors

Cited by 51 publications

References 26 publications

Factors associated with bicycle-helmet use among 8–16 years aged Turkish children: a questionnaire survey

Factors associated with bicycle-helmet use among 8–16 years aged Turkish children: a questionnaire survey

Parenting Influences on Bicycle Helmet Rules and Estimations of Children's Helmet Use

Development of Bicycle Throw Distance Estimation Model Based on Akaike Information Criterion Statistical Method

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