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Abstract

Young drivers are disproportionately involved in motor vehicle crashes compared with other age groups. One potential contributing risk factor is the ongoing development of executive functions (EFs) with maturation of the frontal lobe through adolescence and into early adulthood. However, EF consists of distinct constructs, some of which have been studied more than others, and which have rarely been measured together in relation to objective driving performance on ecological and complex simulated driving tasks. This study recruited 16 to 24 year-old drivers (N = 93) and measured their performance on an EF battery targeting key constructs (working memory, inhibitory control, and set-shifting), as well as speed of processing, and related it to performance on a validated virtual driving assessment (VDA) that exposes drivers to common crash-risk scenarios, while considering EF-related covariates. Univariate analysis identified independent variables associated with VDA performance, and multivariate regression models revealed that better set-shifting performance (i.e., cognitive flexibility/task-switching ability) was associated with a 43% decrease in the likelihood of unsafe driving. Higher sensation-seeking tendencies were also associated with a 17% lower likelihood of unsafe driving. There is limited prior work examining set-shifting in young drivers, however, these results suggest it may help in explaining safe driving performance in young drivers. Clarifying the underlying mechanisms of young driver crash-risk may lead to new opportunities for interventions that aim to reduce crashes.

Keywords

young drivers driver behavior driver performance executive functions human factors

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References

Centers for Disease Control and Prevention. Teen Drivers: Get the Facts. Centers for Disease Control and Prevention. https://www.cdc.gov/transportationsafety/teen_drivers/teendrivers_factsheet.html. Accessed June 1, 2021.

Curry

A. E.

Hafetz

Kallan

M. J.

Winston

F. K.

Durbin

D. R.

Prevalence of Teen Driver Errors Leading to Serious Motor Vehicle Crashes. Accident Analysis and Prevention, Vol. 43, No. 4, 2011, pp. 1285–1290. https://doi.org/10.1016/j.aap.2010.10.019.

Tefft

Rates of Motor Vehicle Crashes, Injuries, and Deaths in Relation to Driver Age, United States, 2014–2015. AAA Foundation for Traffic Safety, 2017.

Curry

A. E.

Pfeiffer

M. R.

Durbin

D. R.

Elliott

M. R.

Young Driver Crash Rates by Licensing Age, Driving Experience, and License Phase. Accident Analysis and Prevention, Vol. 80, 2015, pp. 243–250. https://doi.org/10.1016/j.aap.2015.04.019.

Walshe

E. A.

McIntosh

C. M. Ward

Romer

Winston

F. K.

Executive Function Capacities, Negative Driving Behavior and Crashes in Young Drivers. International Journal of Environmental Research and Public Health, Vol. 14, No. 11, 2017. https://doi.org/10.3390/ijerph14111314.

Walshe

E. A.

Winston

F. K.

Betancourt

L. M.

Khurana

Arena

Romer

Working Memory Development and Motor Vehicle Crashes in Young Drivers. JAMA Network Open, Vol. 2, No. 9, 2019, p. e1911421. https://doi.org/10.1001/jamanetworkopen.2019.11421.

Diamond

Executive Functions. Annual Review of Psychology, Vol. 64, No. 1, 2013, pp. 135–168. https://doi.org/10.1146/annurev-psych-113011-143750.

Miyake

Friedman

N. P.

The Nature and Organization of Individual Differences in Executive Functions: Four General Conclusions. Current Directions in Psychological Science, Vol. 21, No. 1, 2012, pp. 8–14. https://doi.org/10.1177/0963721411429458.The.

Satterthwaite

T. D.

Wolf

D. H.

Erus

Ruparel

Elliott

M. A.

Gennatas

E. D.

Hopson

, et al. Functional Maturation of the Executive System during Adolescence. The Journal of Neuroscience, Vol. 33, No. 41, 2013, pp. 16249–16261. https://doi.org/10.1523/JNEUROSCI.2345-13.2013.

10.

Zhang

Guo

Yuan

On the Importance of Working Memory in the Driving Safety Field: A Systematic Review. Accident Analysis & Prevention, Vol. 187, 2023, p. 107071. https://doi.org/10.1016/j.aap.2023.107071.

11.

Ross

Jongen

Brijs

Ruiter

Brijs

Wets

The Relation Between Cognitive Control and Risky Driving in Young Novice Drivers. Applied Neuropsychology:Adult, Vol. 22, No. 1, 2015, pp. 61–72. https://doi.org/10.1080/23279095.2013.838958.

12.

Guinosso

S. A.

Johnson

S. B.

Schultheis

M. T.

Graefe

A. C.

Bishai

D. M.

Neurocognitive Correlates of Young Drivers’ Performance in a Driving Simulator. Journal of Adolescent Health, Vol. 58, No. 4, 2016, pp. 467–473. https://doi.org/10.1016/j.jadohealth.2015.12.018.

13.

Ross

Jongen

E. M. M.

Wang

Brijs

Ruiter

R. A. C.

Wets

Investigating the Influence of Working Memory Capacity When Driving Behavior Is Combined with Cognitive Load: An LCT Study of Young Novice Drivers. Accident Analysis & Prevention, Vol. 62, 2014, pp. 377–387. https://doi.org/10.1016/j.aap.2013.06.032.

14.

Starkey

N. J.

Isler

R. B.

The Role of Executive Function, Personality and Attitudes to Risks in Explaining Self-Reported Driving Behaviour in Adolescent and Adult Male Drivers. Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 38, 2016, pp. 127–136. https://doi.org/10.1016/j.trf.2016.01.013.

15.

Roca

Lupiáñez

López-Ramón

M.-F.

Castro

Are Drivers’ Attentional Lapses Associated with the Functioning of the Neurocognitive Attentional Networks and with Cognitive Failure in Everyday Life?

Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 17, 2013, pp. 98–113. https://doi.org/10.1016/j.trf.2012.10.005.

16.

Ross

Jongen

E. M. M.

Brijs

Wets

Investigating Risky, Distracting, and Protective Peer Passenger Effects in a Dual Process Framework. Accident Analysis & Prevention, Vol. 93, 2016, pp. 217–225. https://doi.org/10.1016/j.aap.2016.05.007.

17.

Cascio

C. N.

Carp

O’Donnell

M. B.

Tinney

F. J.

Bingham

C. R.

Shope

J. T.

Ouimet

M. C.

Pradhan

A. K.

Simons-Morton

B. G.

Falk

E. B.

Buffering Social Influence: Neural Correlates of Response Inhibition Predict Driving Safety in the Presence of a Peer. Journal of Cognitive Neuroscience, Vol. 27, No. 1, 2015, pp. 83–95. https://doi.org/10.1162/jocn_a_00693.

18.

Hatfield

Williamson

Kehoe

E. J.

Prabhakharan

An Examination of the Relationship between Measures of Impulsivity and Risky Simulated Driving amongst Young Drivers. Accident Analysis and Prevention, Vol. 103, 2017, pp. 37–43. https://doi.org/10.1016/j.aap.2017.03.019.

19.

Mäntylä

Karlsson

M. J.

Marklund

Executive Control Functions in Simulated Driving. Applied Neuropsychology, Vol. 16, No. 1, 2009, pp. 11–18. https://doi.org/10.1080/09084280802644086.

20.

Graefe

A. C.

Schultheis

M. T.

Examining Neurocognitive Correlates of Risky Driving Behavior in Young Adults Using a Simulated Driving Environment. 2013.

21.

Pope

C. N.

Ross

L.A.

Stavrinos

Association Between Executive Function and Problematic Adolescent Driving. Journal of Developmental & Behavioral Pediatrics, Vol. 37, No. 9, 2016, pp. 702–711. https://doi.org/10.1097/DBP.0000000000000353.

22.

Romer

Betancourt

Giannetta

J. M.

Brodsky

N. L.

Farah

Hurt

Executive Cognitive Functions and Impulsivity as Correlates of Risk Taking and Problem Behavior in Preadolescents. Neuropsychologia, Vol. 47, No. 13, 2009, pp. 2916–2926. https://doi.org/10.1016/j.neuropsychologia.2009.06.019.

23.

Romer

Betancourt

L. M.

Brodsky

N. L.

Giannetta

J. M.

Yang

Hurt

Does Adolescent Risk Taking Imply Weak Executive Function? A Prospective Study of Relations between Working Memory Performance, Impulsivity, and Risk Taking in Early Adolescence. Developmental Science, Vol. 14, No. 5, 2011, pp. 1119–1133. https://doi.org/10.1111/j.1467-7687.2011.01061.x.

24.

Walshe

E. A.

Winston

F.K.

Romer

Rethinking Cell Phone Use While Driving: Isolated Risk Behavior or a Pattern of Risk-Taking Associated with Impulsivity in Young Drivers?

International Journal of Environmental Research and Public Health, Vol. 18, No. 11, 2021. https://doi.org/10.3390/ijerph18115640.

25.

Walshe

E. A.

Elliott

M. R.

Romer

Cheng

Curry

A. E.

Seacrist

Oppenheimer

, et al. Novel Use of a Virtual Driving Assessment to Classify Driver Skill at the Time of Licensure. Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 87, 2022, pp. 313–326. https://doi.org/10.1016/j.trf.2022.04.009.

26.

Walshe

E. A.

Elliott

M. R.

Cheng

Romer

Curry

A. E.

Grethlein

Gonzalez

A. K.

Winston

F. K.

Driving Skills at Licensure and Time to First Crash. Pediatrics, Vol. 152, No. 5, 2023. https://doi.org/10.1542/peds.2022-060817.

27.

McDonald

Tanenbaum

Lee

Y. C.

Fisher

Mayhew

Winston

Using Crash Data to Develop Simulator Scenarios for Assessing Novice Driver Performance. Transportation Research Record, No. 2321, 2012, pp. 73–78. https://doi.org/10.3141/2321-10.

28.

Owen

A. M.

McMillan

K. M.

Laird

A. R.

Bullmore

N-back Working Memory Paradigm: A Meta-analysis of Normative Functional Neuroimaging Studies. Human Brain Mapping, Vol. 25, No. 1, 2005, pp. 46–59. https://doi.org/10.1002/hbm.20131.

29.

Salthouse

T. A.

Atkinson

T. M.

Berish

D. E.

Executive Functioning as a Potential Mediator of Age-Related Cognitive Decline in Normal Adults. Journal of Experimental Psychology: General, Vol. 132, No. 4, 2003, pp. 566–594. https://doi.org/10.1037/0096-3445.132.4.566.

30.

Mäntylä

Carelli

M. G.

Forman

Time Monitoring and Executive Functioning in Children and Adults. Journal of Experimental Child Psychology, Vol. 96, No. 1, 2007, pp. 1–19. https://doi.org/10.1016/j.jecp.2006.08.003.

31.

Simmonds

D. J.

Pekar

J. J.

Mostofsky

S. H.

Meta-Analysis of Go/No-Go Tasks Demonstrating That FMRI Activation Associated with Response Inhibition Is Task-Dependent. Neuropsychologia, Vol. 46, No. 1, 2008, pp. 224–232. https://doi.org/10.1016/j.neuropsychologia.2007.07.015.

32.

Ridderinkhof

K. R.

Wylie

S. A.

van den Wildenberg

W. P. M.

Bashore

T. R.

Van der Molen

M. W.

The Arrow of Time: Advancing Insights into Action Control from the Arrow Version of the Eriksen Flanker Task. Attention, Perception, & Psychophysics, Vol. 83, No. 2, 2021, pp. 700–721. https://doi.org/10.3758/s13414-020-02167-z.

33.

Rogers

R. D.

Monsell

Costs of a Predictable Switch Between Simple Cognitive Tasks. Journal of Experimental Psychology: General, Vol. 124, No. 2, 1995, pp. 207–231. https://doi.org/10.1037/0096-3445.124.2.207.

34.

Buchsbaum

B. R.

Greer

Chang

Berman

K. F.

Meta-analysis of Neuroimaging Studies of the Wisconsin Card-Sorting Task and Component Processes. Human Brain Mapping, Vol. 25, No. 1, 2005, pp. 35–45. https://doi.org/10.1002/hbm.20128.

35.

Cepeda

N. J.

Kramer

A. F.

Gonzalez de Sather

J. C.

Changes in Executive Control across the Life Span: Examination of Task-Switching Performance. Developmental psychology, Vol. 37, No. 5, 2001, pp. 715–30.

36.

Reason

Manstead

Stradling

Baxter

Campbell

Errors and violations on the roads: a real distinction? Ergonomics. 1990;33(10–11):1315–1332. doi:10.1080/00140139008925335

37.

Walshe

E. A.

Winston

F. K.

Betancourt

L. M.

Arena

Romer

Cell Phone Use While Driving: A Pattern of Risk in Young Novice Drivers. Academic Journal of Pediatrics & Neonatology, Vol. 6, No. 4, 2018, pp. 79–81. https://doi.org/10.19080/ajpn.2018.06.555752.

38.

Kuo

P. H.

Chih

Y. C.

Soong

W. T.

Yang

H. J.

Chen

W. J.

Assessing Personality Features and Their Relations with Behavioral Problems in Adolescents: Tridimensional Personality Questionnaire and Junior Eysenck Personality Questionnaire. Comprehensive Psychiatry, Vol. 45, No. 1, 2004, pp. 20–28. https://doi.org/10.1016/j.comppsych.2003.09.011.

39.

Zuckerman

Kolin

E. A.

Price

Zoob

Development of a Sensation-Seeking Scale. Journal of Consulting Psychology, Vol. 28, No. 6, 1964, pp. 477–482.

40.

Green

Fry

A. F.

Myerson

Discounting of Delayed Rewards: A Life-Span Comparison. Psychological Science, Vol. 5, No. 1, 1994, pp. 33–36. https://doi.org/10.1111/j.1467-9280.1994.tb00610.x.

41.

Karbach

Kray

How Useful Is Executive Control Training? Age Differences in Near and Far Transfer of Task-Switching Training. Developmental Science, Vol. 12, No. 6, 2009, pp. 978–990. https://doi.org/10.1111/j.1467-7687.2009.00846.x

42.

Minear

Shah

Training and Transfer Effects in Task Switching. Memory and Cognition, Vol. 36, No. 8, 2008, pp. 1470–1483. https://doi.org/10.3758/MC.336.8.1470.

43.

Jonah

B. A.

Sensation Seeking and Risky Driving: A Review and Synthesis of the Literature. Accident Analysis & Prevention, Vol. 29, No. 5, 1997, pp. 651–665. https://doi.org/10.1016/S0001-4575(97)00017-1.

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Addressing the Gap: Examining the Role of Multiple Executive Function Constructs and Associated Factors in Risky Driving Performance in Young Drivers

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