Patterns of risky driving behaviors among Tuscan adolescent drivers: a cluster analysis

Background Adolescents have a high risk of road traffic accident (RTA) because of their high engagement in risky driving behaviors (RDBs); to date, very few studies have investigated the patterns of RDBs. The aim of the study is to identify distinctive RDBs patterns and to examine their associations with RTAs in a sample of adolescent drivers Methods The EDIT project is a cross-sectional survey carried out in a representative sample (6.824) of Tuscany Region students aged 14-19 years. The study analyses a subsample of students who reported to drive/ride at least once a week (2764). Self-reported frequency in the last year of the following RDBs was determined: talking on phone; texting; using GPS; talking to passengers; smoking; eating; listening to loud music; fatigued driving; speeding; and driving under the influence (DUI) of alcohol or drugs. A cluster analysis was conducted to identify RDBs patterns. A multivariate model was used to evaluate the difference in the risk of RTA across clusters; ANOVA and post-hoc pairwise comparisons were used to further characterize cluster membership Results Four distinct RDBs clusters were identified: “safe”(45.6%), “average”(21.8%), “careless but not DUI”(21.5%) and “reckless and DUI”(11.2%) drivers. When compared with “safe” drivers, “careless but not DUI” and “reckless and DUI” drivers showed a significantly higher risk of RTA (respectively, OR 1.68, 95%CI 1.29-2.18, p < 0.001; OR 2.88; 95%CI 2.10-3.95, p < 0.001). Clusters were characterized by several significant differences in sociodemographic variables, cell-phone use, quality of the relationships with parents, school performances, mental health and well-being, health behaviors, gaming, bullying and risky sexual behaviors Conclusions RDBs evidently occur in typical patterns that are linked with different RTA risks. Several domains of adolescent life seem to be involved in cluster membership. An awareness of this clustering enables to better targeting adolescents at higher risk of RTA Key messages RDBs occur in patterns in adolescents, and indicators of risky behaviors and of mental and social well-being may help to identify RDBs clusters at high risk of road traffic accidents. Multimodal prevention approaches in risky driving behaviors are likely to be more successful than targeting a single behavior in adolescents.

Driving among Adolescents with Autism Spectrum Disorder and Attention-Deficit Hyperactivity Disorder

Over the past several decades there has been a surge of research on the contextual, biological, and psychological factors associated with transportation safety in adolescence. However, we know much less about the factors contributing to transportation safety among adolescents who do not follow a typical developmental trajectory. Adolescents with developmental disabilities (DD) such as Autism Spectrum Disorder (ASD) and Attention-Deficit/Hyperactivity Disorder (ADHD) have a wide range of behavioral and psychological deficits that may make the complex task of driving even more challenging. Because these adolescents often retain characteristic symptoms of their disorder into adulthood, it may impede their ability to achieve important milestones during the developmental transition from adolescent to adult. As the motivating force behind autonomous living and employment, the capacity for independent transportation is paramount to an adolescent’s overall success. This critical review will draw from the current body of literature on adolescent drivers with developmental disabilities to determine (1) areas of impairment; (2) safety risk factors; and (3) effective interventions for improving driving safety in this vulnerable population of adolescent drivers between the ages of 15–22. This review will also identify important unanswered research questions, and summarize the current state of the literature.

Novel Smartphone-Based Measures of Cell Phone Use While Driving in a Sample of Newly Licensed Adolescent Drivers

Background. Motor vehicle crashes are the leading cause of adolescent death. Cell phone use while driving is a contributor to adolescent motor vehicle crash risk. Objective and directly observable measures of cell phone use while driving are needed to implement interventions aimed at reducing cell phone–related crash risk. Aims. To describe novel smartphone-based measures of cell phone use while driving in a sample of newly licensed male and female adolescent drivers. Methods. Newly licensed adolescents in Pennsylvania installed a windshield-mounted device that pairs with a smartphone application to collect data on cell phone use while driving over 2 weeks during June 2016–October 2016. Descriptive statistics, independent t tests, and Wilcoxin Mann-Whitney U test were used to characterize handheld cell phone use (“unlock”) and call time while accounting for driving exposure. Results. Data from 16 adolescents (50% male) resulted in 5,624 miles in 705 trips, 964 cell phone unlocks, and 146.22 minutes of call time. Participants had a mean of 23.96 unlocks/100 miles ( SD = 22.97), 1.23 unlocks/trip ( SD = 0.96), and 4.87 unlocks/hour driven ( SD = 3.93). Males had significantly more unlocks/100 miles, unlocks at speed >25 mph/100 miles, unlocks/hour driven, and unlocks at speed > 25 mph/hour driven ( p < .05). Conclusions. Smartphone-based applications are an innovative means by which to collect continuous data on cell phone use while driving that can be used to better understand and intervene on this frequent behavior in newly licensed adolescent drivers.