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Accident Analysis & Prevention
Article
License: CC BY NC ND
Data sources: UnpayWall
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Oxford Brookes University: RADAR
Article . 2017
License: CC BY NC ND
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Accident Analysis & Prevention
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Accident frequency and unrealistic optimism: Children’s assessment of risk

Authors: Sissons Joshi, Mary; Maclean, Morag; Stevens, Claire;

Accident frequency and unrealistic optimism: Children’s assessment of risk

Abstract

Accidental injury is a major cause of mortality and morbidity among children, warranting research on their risk perceptions. Three hundred and seven children aged 10-11 years assessed the frequency, danger and personal risk likelihood of 8 accidents. Two social-cognitive biases were manifested. The frequency of rare accidents (e.g. drowning) was overestimated, and the frequency of common accidents (e.g. bike accidents) underestimated; and the majority of children showed unrealistic optimism tending to see themselves as less likely to suffer these accidents in comparison to their peers, offering superior skills or parental control of the environment as an explanation. In the case of pedestrian accidents, children recognised their seriousness, underestimated the frequency of this risk and regarded their own road crossing skill as protection. These findings highlight the challenging task facing safety educators who, when teaching conventional safety knowledge and routines, also need to alert children to the danger of over-confidence without disabling them though fear.

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Keywords

Male, Parents, Optimism, Drowning, Accidents, Traffic, Risk Assessment, Child Development, Cognition, Risk-Taking, Humans, Wounds and Injuries, Female, Parent-Child Relations, Safety, Child, Pedestrians

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Top 10%
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