Differential impact of personality traits on distracted driving behaviors in teens and older adults.

Morgan N Parr, Lesley A Ross, Benjamin McManus, Haley J Bishop, Shannon M O Wittig, Despina Stavrinos
Author Information
  1. Morgan N Parr: Translational Research for Injury Prevention (TRIP) Laboratory, 916 19th Street South, Birmingham, AL 35294, United States; Department of Psychology, University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL 35294, United States.
  2. Lesley A Ross: The Pennsylvania State University, Department of Human Development and Family Studies, 119 Health and Human Development Bldg., University Park, PA 16802, United States.
  3. Benjamin McManus: Translational Research for Injury Prevention (TRIP) Laboratory, 916 19th Street South, Birmingham, AL 35294, United States; Department of Psychology, University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL 35294, United States.
  4. Haley J Bishop: Translational Research for Injury Prevention (TRIP) Laboratory, 916 19th Street South, Birmingham, AL 35294, United States; Department of Psychology, University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL 35294, United States.
  5. Shannon M O Wittig: Translational Research for Injury Prevention (TRIP) Laboratory, 916 19th Street South, Birmingham, AL 35294, United States; Department of Psychology, University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL 35294, United States.
  6. Despina Stavrinos: Translational Research for Injury Prevention (TRIP) Laboratory, 916 19th Street South, Birmingham, AL 35294, United States; Department of Psychology, University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL 35294, United States. Electronic address: dstavrin@uab.edu.

Abstract

OBJECTIVE: To determine the impact of personality on distracted driving behaviors.
METHOD: Participants included 120 drivers (48 teens, 72 older adults) who completed the 45-item Big Five Personality questionnaire assessing self-reported personality factors and the Questionnaire Assessing Distracted Driving (QUADD) assessing the frequency of distracted driving behaviors. Associations for all five personality traits with each outcome (e.g., number of times texting on the phone, talking on the phone, and interacting with the phone while driving) were analyzed separately for teens and older adults using negative binomial or Poisson regressions that controlled for age, gender and education.
RESULTS: In teens, higher levels of openness and conscientiousness were predictive of greater reported texting frequency and interacting with a phone while driving, while lower levels of agreeableness was predictive of fewer reported instances of texting and interacting with a phone while driving. In older adults, greater extraversion was predictive of greater reported talking on and interacting with a phone while driving. Other personality factors were not significantly associated with distracted driving behaviors.
CONCLUSIONS: Personality traits may be important predictors of distracted driving behaviors, though specific traits associated with distracted driving may vary across age groups. The relationship between personality and distracted driving behaviors provides a unique opportunity to target drivers who are more likely to engage in distracted driving behavior, thereby increasing the effectiveness of educational campaigns and improving driving safety.

Keywords

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Grants

  1. P30 AG022838/NIA NIH HHS

MeSH Term

Adolescent
Age Factors
Aged
Aged, 80 and over
Attention
Cell Phone
Distracted Driving
Female
Humans
Male
Personality
Self Report
Text Messaging
Young Adult

Word Cloud

Created with Highcharts 10.0.0drivingdistractedpersonalitybehaviorsphonedriversteensolderadultstraitsinteractingPersonalitytextingpredictivegreaterreportedimpactBigFiveassessingfactorsDistractedDrivingfrequencytalkingagelevelsassociatedmaysafetyOBJECTIVE:determineMETHOD:Participantsincluded1204872completed45-itemquestionnaireself-reportedQuestionnaireAssessingQUADDAssociationsfiveoutcomeegnumbertimesanalyzedseparatelyusingnegativebinomialPoissonregressionscontrolledgendereducationRESULTS:higheropennessconscientiousnessloweragreeablenessfewerinstancesextraversionsignificantlyCONCLUSIONS:importantpredictorsthoughspecificvaryacrossgroupsrelationshipprovidesuniqueopportunitytargetlikelyengagebehaviortherebyincreasingeffectivenesseducationalcampaignsimprovingDifferentialOlderTeenTexting

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