Literature DB >> 20670926

The bicycle helmet attitudes scale: using the health belief model to predict helmet use among undergraduates.

Thomas P Ross1, Lisa Thomson Ross, Annalise Rahman, Shayla Cataldo.   

Abstract

OBJECTIVE: This study examined bicycle helmet attitudes and practices of college undergraduates and developed the Bicycle Helmet Attitudes Scale, which was guided by the Health Belief Model (HBM; Rosenstock, 1974, in Becker MH, ed. The Health Belief Model and Personal Health Behavior. Thorofare, NJ: Charles B. Slack; 1974:328-335) to predict reported helmet use. PARTICIPANTS: Students (N = 337) from a mid-sized university in the southeast completed a survey between November 2006 and November 2007.
METHODS: Participants completed a comprehensive survey on attitudes and behaviors relevant to bicycle helmet use.
RESULTS: The resulting Bicycle Helmet Attitudes Scale contains 57 items and represents 10 reliable subscales that reflect the HBM. Only 12% of students were self-reported helmet users. Bicycle Helmet Attitudes Scale scores captured 52% of the variance associated with helmet use; each subscale differentiated wearers from nonwearers. Men reported more media influences than did women.
CONCLUSIONS: The utility of the HBM to predicted bicycle helmet use was supported. Implications for promoting cycling safety are discussed.

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Mesh:

Year:  2010        PMID: 20670926     DOI: 10.1080/07448481.2010.483702

Source DB:  PubMed          Journal:  J Am Coll Health        ISSN: 0744-8481


  8 in total

1.  Predictors of Seat-Belt Use among Bus Passengers in Ghana: An Application of the Theory of Planned Behaviour and Health Belief Model.

Authors:  Paul Okyere; Peter Agyei-Baffour; Muriel Jean Harris; Charles Mock; Peter Donkor; Isaac Kofi Yankson; Ellis Owusu-Dabo
Journal:  J Community Health       Date:  2021-04-02

Review 2.  BASE: Pragmatic Injury Prevention for Practitioners.

Authors:  Benjamin K Barton; Brian J Pugliese
Journal:  Am J Lifestyle Med       Date:  2022-04-15

3.  Bicycle helmet use and non-use - recently published research.

Authors:  Stefanie Uibel; Daniel Müller; Doris Klingelhoefer; David A Groneberg
Journal:  J Occup Med Toxicol       Date:  2012-05-25       Impact factor: 2.646

4.  Behavioural interventions delivered through interactive social media for health behaviour change, health outcomes, and health equity in the adult population.

Authors:  Jennifer Petkovic; Stephanie Duench; Jessica Trawin; Omar Dewidar; Jordi Pardo Pardo; Rosiane Simeon; Marie DesMeules; Diane Gagnon; Janet Hatcher Roberts; Alomgir Hossain; Kevin Pottie; Tamara Rader; Peter Tugwell; Manosila Yoganathan; Justin Presseau; Vivian Welch
Journal:  Cochrane Database Syst Rev       Date:  2021-05-31

5.  Integrating health belief model and technology acceptance model: an investigation of health-related internet use.

Authors:  Ashraf Sadat Ahadzadeh; Saeed Pahlevan Sharif; Fon Sim Ong; Kok Wei Khong
Journal:  J Med Internet Res       Date:  2015-02-19       Impact factor: 5.428

6.  Examining Consumers' Adoption of Wearable Healthcare Technology: The Role of Health Attributes.

Authors:  Man Lai Cheung; Ka Yin Chau; Michael Huen Sum Lam; Gary Tse; Ka Yan Ho; Stuart W Flint; David R Broom; Ejoe Kar Ho Tso; Ka Yiu Lee
Journal:  Int J Environ Res Public Health       Date:  2019-06-26       Impact factor: 3.390

7.  More aware, more protected: a cross-sectional study on road safety skills predicting the use of passive safety elements among Spanish teenagers.

Authors:  Sergio Useche; Francisco Alonso; Luis Montoro; Leandro Garrigós
Journal:  BMJ Open       Date:  2019-11-25       Impact factor: 2.692

8.  Smart technology for healthcare: Exploring the antecedents of adoption intention of healthcare wearable technology.

Authors:  Ka Yin Chau; Michael Huen Sum Lam; Man Lai Cheung; Ejoe Kar Ho Tso; Stuart W Flint; David R Broom; Gary Tse; Ka Yiu Lee
Journal:  Health Psychol Res       Date:  2019-09-24
  8 in total

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