Issues Addressed: This paper investigates the influence of mood while driving, advocates for identifying high-risk groups and detects associations between mood while driving and risky driving behaviours. While commensurate studies regarding aggressive driving have confirmed significant detriments in driving performance, little scholarly research has studied the gaps and opportunities at the intersection of mood and risky driving in young drivers.
Methods: A cross-sectional design was implemented using 660 young drivers (17-25 years) from Australia (34.7%) and Colombia (65.3%), who completed the Behaviour of Young Novice Drivers Scale (BYNDS). Cluster analysis differentiated young drivers across two groups: high-risk and low-risk driving while influenced by mood. Hierarchical segmentation analysis explored the relationship between driver mood and self-reported risky driving behaviour.
Results: Young drivers reported frequent driving while influenced by mood. The typical risky driving behaviours of young drivers who are emotion-affected are transient violations (eg, speeding) and risky exposure (eg, driving tired).
Conclusions: Risky driving behaviours that have been found to increase the risk of road injury (speeding, fatigued driving) and to decrease the survivability of road crashes (speeding) are inextricably intertwined with the influence of driver mood upon driving behaviour at an international level. Driver mood is a neglected issue in health promotion programs for young drivers. SO WHAT?: Current health promotion interventions for young drivers safety such as Graduated Driver Licensing may not prevent driving while influenced by mood. Additional strategies are required to minimise the exposure to driving while affected by negative mood.
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http://dx.doi.org/10.1002/hpja.223 | DOI Listing |
J Formos Med Assoc
January 2025
Department of Internal Medicine, National Taiwan University Cancer Center, Taipei, Taiwan; Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan. Electronic address:
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Soen Driving School, Hokkaido, Japan.
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Cancer Res
January 2025
University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Cancer genomics consortia have identified somatic drivers of breast cancer subtypes. However, these studies have predominantly included older, non-Black women, and the related socioeconomic status (SES) data is limited. Increased representation and depth of social data are crucial for understanding how health inequity is intertwined with somatic landscapes.
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Front Microbiol
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Yingshan Fucheng Meat Pigeon Breeding Professional Cooperative, Nanchong, China.
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