Sensation seeking predicts risky driving behavior: The mediating role of difficulties in emotion regulation

Li, Jun; Zhou, Ying; Ge, Yan; Qu, Weina

doi:10.1111/risa.14066

Cited by 8 publications

(6 citation statements)

References 130 publications

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“…Oppenheim et al [81] found that higher sensation-seeking scores suggest a greater likelihood of being highviolation-rate individuals, consistent with the previous literature [82][83][84][85]. Apparently, the higher the score on such traits in the drivers, the greater the difficulties in emotion regulation, making them more likely to engage in risky driving behaviours, rather than positive driving behaviours [86].…”

Section: Discussionsupporting

confidence: 58%

Emotion behind the Wheel: Unravelling the Impact of Emotional (dys)Regulation on Young Driving Behaviour—A Systematic Review

Pizzo,

Lausi,

Burrai

et al. 2024

Sustainability

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Young people engage in a variety of behaviours that can have an impact on their health and safety, including driving and road accidents, which represent a major health issue today. Emotions, and in particular emotional regulation (ER), interact significantly with key elements of driving behaviour, such as risk perception, decision-making, and attention. We carried out a systematic review considering the presence of an association between emotional (dys)regulation and driving behaviour of young adults (18–25 years). A total of 1849 records were selected for screening and, finally, eight full-text articles were included. Two main findings were found: on the one hand, driving anger, unlike other emotional patterns, emerged as a well-defined cause of impairment among young drivers. On the other hand, drivers’ risky behaviour seems to be influenced by a heterogeneous set of factors, such as using specific ER strategies or personality traits (e.g., impulsivity). Expressing one’s emotions adaptively, improving the ability to accept and be aware of negative emotions, and controlling impulsive behaviour could reduce driving risks in young drivers.

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Section: Discussionsupporting

confidence: 58%

Emotion behind the Wheel: Unravelling the Impact of Emotional (dys)Regulation on Young Driving Behaviour—A Systematic Review

Pizzo,

Lausi,

Burrai

et al. 2024

Sustainability

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show abstract

“…Clinicians could implement interventions that include breaking down tasks and implementing a self-reward system where patients can feel gratification for any treatment gains, no matter their size, which could increase perseverance and motivation to continue in treatment. Patients who present with elevated sensation seeking may also have difficulties coping with stressors and regulating emotions 37 , 38 and thus emotion regulation skills training could be beneficial. Further, clinicians might identify cognitive distortions in these patients that are related to a need for constant excitement or tolerating boredom.…”

Section: Discussionmentioning

confidence: 99%

Impulsivity Dimensions Predict Treatment Dropout Among Women in Residential Treatment for Substance Use Disorders

Basting,

Medenblik,

Switalska

et al. 2024

Substance Use: Research and Treatment

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Residential treatment for substance use disorders (SUDs) is effective at reducing substance use, dependence, and other related problems. However, dropout from treatment against medical advice (AMA) is common in residential treatment settings. Studies have shown that impulsivity is associated with substance misuse and treatment dropout in predominately male samples, but less is known regarding whether impulsivity dimensions predict treatment dropout among women. This study examined impulsivity dimensions (ie, negative urgency, positive urgency, lack of perseverance, lack of premeditation, and sensation seeking) as predictors of dropout AMA among women in a residential substance use treatment facility (N = 229). Logistic regression results demonstrated that elevations in lack of perseverance and sensation seeking were associated with an increased odds of treatment dropout AMA and that lack of premeditation was associated with a decreased odds of treatment dropout AMA. Study findings suggest that early evidence-based interventions for sensation seeking and lack of perseverance may improve retention of women in residential treatment.

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“…The lowfrequency (LF) components of the velocity signal in the frequency domain are usually caused by the driving environment, while the high-frequency (HF) speed components are caused by the driving behavior, and the limit of this high and low frequency is 1Hz [21]. Thus, the numerical expression of driver aggressiveness can be shown by Equation (9). DA= HF LF+HF (9) Where HF represents high-frequency energy, and LF represents low-frequency energy.…”

Section: ∑ |𝑥(𝑛)| = ∑ |𝑋(𝑘)| (8)mentioning

confidence: 99%

“…Thus, the numerical expression of driver aggressiveness can be shown by Equation (9). DA= HF LF+HF (9) Where HF represents high-frequency energy, and LF represents low-frequency energy. Thus, the numerical range of DA is between 0 and 1, and the closer it is to 0, the smoother the driver is driving, and the closer it is to 1, the more aggressively the driver is driving.…”

Section: ∑ |𝑥(𝑛)| = ∑ |𝑋(𝑘)| (8)mentioning

confidence: 99%

“…Within the scope of driver self-influence, research directions can be divided into three categories, that is, (i) finding the optimal driving cycle, (ii) driving behavior prediction, and (iii) driving characteristic classification [4,5,6]. The research on driving characteristic classification can be further divided into three categories, including driver emotion impact analysis, unsafe behavior analysis, and driving aggressiveness analysis [7,8,9]. This study focuses on the driving aggressiveness (DA) in driving behavior.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Characterizing driving behavior and link to fuel consumption for university campus shuttle minibuses

Liu,

Abediasl,

Ansari

et al. 2023

Progress in Canadian Mechanical Engineering. Volume 6

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This paper focuses on the effect of aggressive driving behavior on fuel consumption of a vehicle. Different from the traditional statistical analysis method, this paper adopts the frequency domain analysis method to analyze driving aggressiveness and apply a quantitative driving aggressiveness evaluation metric. At the same time, the fuel consumption impact caused by the driving aggressiveness under different driving situations is analyzed. The results are demonstrated for two university shuttle bus. Fuel consumption rate of each vehicle is determined by using available on-board diagnostics (OBD) data including intake air mass flow rate of engine and air/fuel equivalence ratio. The experimental results show that the degree of influence of driving aggressiveness on fuel consumption is not the same in different driving situations. The higher the speed of the driving situation, the greater the difference in fuel consumption caused by driving aggressiveness.

show abstract

Sensation seeking predicts risky driving behavior: The mediating role of difficulties in emotion regulation

Cited by 8 publications

References 130 publications

Emotion behind the Wheel: Unravelling the Impact of Emotional (dys)Regulation on Young Driving Behaviour—A Systematic Review

Emotion behind the Wheel: Unravelling the Impact of Emotional (dys)Regulation on Young Driving Behaviour—A Systematic Review

Impulsivity Dimensions Predict Treatment Dropout Among Women in Residential Treatment for Substance Use Disorders

Characterizing driving behavior and link to fuel consumption for university campus shuttle minibuses

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