Mobile device use while crossing the street: Utilizing the theory of planned behavior.


Journal

Accident; analysis and prevention
ISSN: 1879-2057
Titre abrégé: Accid Anal Prev
Pays: England
ID NLM: 1254476

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 13 08 2018
revised: 11 01 2019
accepted: 05 02 2019
pubmed: 4 3 2019
medline: 3 5 2019
entrez: 4 3 2019
Statut: ppublish

Résumé

Every year, thousands of pedestrians are killed and tens-of-thousands are nonfatally injured as a result of traffic crashes. The year 2016 holds the record for the most pedestrians killed in one year since 1990. Mobile device use while crossing the street has been associated with unsafe crossing behaviors and gait abnormalities, potentially increasing the risk of pedestrian injury or death. Expanding upon the small body of literature, the present study utilized the theory of planned behavior to guide the development of a questionnaire used to collect data from 480 adults on predictors of intentions to use a mobile device while crossing the street. Questionnaire development involved one round of expert panel review (N = 4), subsequent pilot testing of a revised questionnaire, and a test-retest reliability assessment. Results demonstrate that attitude toward the behavior, subjective norm, and perceived behavioral control significantly predicted the intention to use a mobile device while crossing the street in this population. Such a questionnaire can be used in the design and evaluation of TPB-based interventions to decrease distracted mobile device use while crossing the street.

Identifiants

pubmed: 30826696
pii: S0001-4575(18)30465-2
doi: 10.1016/j.aap.2019.02.006
pmc: PMC10131759
mid: NIHMS1889959
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

9-18

Subventions

Organisme : NHLBI NIH HHS
ID : K01 HL145128
Pays : United States

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

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Auteurs

Andrew J Piazza (AJ)

The University of Alabama, Department of Health Science, Box 870311, Tuscaloosa, AL 35487, United States. Electronic address: apiazza@worcester.edu.

Adam P Knowlden (AP)

The University of Alabama, Department of Health Science, Box 870311, Tuscaloosa, AL 35487, United States.

Elizabeth Hibberd (E)

The University of Alabama, Department of Health Science, Box 870311, Tuscaloosa, AL 35487, United States.

James Leeper (J)

The University of Alabama, Department of Community Medicine and Population Health, Box 870326, Tuscaloosa, AL 35487, United States.

Angelia M Paschal (AM)

The University of Alabama, Department of Health Science, Box 870311, Tuscaloosa, AL 35487, United States.

Stuart Usdan (S)

The University of Alabama, Department of Health Science, Box 870311, Tuscaloosa, AL 35487, United States.

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Classifications MeSH