Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/33442
Title: Relating Reactive and Proactive Aggression to Trait Driving Anger in Young and Adult Males: A Pilot Study Using Explicit and Implicit Measures
Authors: ROSS, Veerle 
REINOLSMANN, Nora 
LOBBESTAEL, Jill
TIMMERMANS, Chantal
BRIJS, Tom 
ALHAJYASEEN, Wael
BRIJS, Kris 
Issue Date: 2021
Publisher: MDPI
Source: Sustainability, 13 (4) (Art N° 1850)
Abstract: Abstract: Driving anger and aggressive driving are main contributors to crashes, especially among young males. Trait driving anger is context-specific and unique from other forms of anger. It is necessary to understand the mechanisms of trait driving anger to develop targeted interventions. Although literature conceptually distinguished reactive and proactive aggression, this distinction is uncommon in driving research. Similar, cognitive biases related to driving anger, measured by a combination of explicit and implicit measures, received little attention. This pilot study related explicit and implicit measures associated with reactive and proactive aggression to trait driving anger, while considering age. The sample consisted of 42 male drivers. The implicit measures included a self-aggression association (i.e., Single-Target Implicit Association Test) and an attentional aggression bias (i.e., Emotional Stroop Task). Reactive aggression related positively with trait driving anger. Moreover, a self-aggression association negatively related to trait driving anger. Finally, an interaction effect for age suggested that only in young male drivers, higher proactive aggression related to lower trait driving anger. These preliminary results motivate further attention to the combination of explicit and implicit measures related to reactive and proactive aggression in trait driving anger research.
Keywords: trait driving anger;reactive and proactive aggression;cognitive bias;implicit measures;male drivers;young drivers
Document URI: http://hdl.handle.net/1942/33442
e-ISSN: 2071-1050
DOI: 10.3390/su13041850
ISI #: 000624758600001
Rights: 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Category: A1
Type: Journal Contribution
Validations: ecoom 2022
Appears in Collections:Research publications

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