Social and emotional loneliness and self‐reported difficulty initiating and maintaining sleep (DIMS) in a sample of Norwegian university students

Social and emotional loneliness negatively impact several areas of health, including sleep. However, few comprehensive population‐based studies have evaluated this relationship. Over 12,000 students aged 21–35 years who participated in the student survey for higher education in Norway (the SHoT study) were assessed. Loneliness was assessed using the Social and Emotional Loneliness Scale. Difficulty initiating and maintaining sleep (DIMS) was assessed by a single‐item subjective response on the depression scale of the Hopkins Symptoms Checklist (HSCL‐25). Social loneliness was associated with more serious DIMS (unadjusted proportional odds‐ratio [OR] = 2.69, 95% CI = 2.46–2.95). This association was attenuated following adjustment for anxiety (adjusted OR = 1.92, 95% CI = 1.75–2.10) and depression (adjusted OR = 1.48, 95% CI = 1.34–1.63), however was not substantially altered when all demographics and psychological distress were accounted for (fully adjusted OR = 1.46, 95% CI = 1.30–1.63). Emotional loneliness was also associated with more serious DIMS (unadjusted proportional OR = 2.33, 95% CI = 2.12–2.57). Adjustment for anxiety (adjusted OR = 1.96, 95% CI = 1.78–2.15) and depression (adjusted OR = 1.64, 95% CI = 1.48–1.80) attenuated, but did not extinguish this relationship in the fully adjusted model (adjusted OR = 1.22, 95% CI = 1.09–1.31). Mediation analyses revealed that the social loneliness‐DIMS association was fully attributed to psychological distress, while the emotional loneliness‐DIMS association was only partially mediated, and a direct association was still observed. Associations between social and emotional loneliness and subjective DIMS were embedded in a larger pattern of psychological distress. Mitigating underlying feelings of loneliness may reduce potentially deleterious effects on sleep health and psychological wellbeing in young adults.     

Nomophobia and self-reported smartphone use while driving: An investigation into whether nomophobia can increase the likelihood of illegal smartphone use while driving

In Australia, illegal smartphone use while driving is on the rise, increasing the likelihood drivers could be distracted and crash. Smartphones avail users a sense of belonging, connectedness, and access to information. As such, the sensation of being without one’s smartphone has developed into the prevalence of nomophobia, defined as the fear and anxiety associated with being without smartphone. The aim of the current study was to specifically examine the relationship between smartphone use while driving and nomophobia by 1) determining the types and frequency of illegal phone use while driving and, 2) exploring the relationship between nomophobia and illegal phone use while driving. The sample consisted of 2,774 Victorian smartphone users (47.0% male) with a valid driver’s licence. Driver’s nomophobia levels were measured using the Nomophobia Questionnaire (NMP-Q), while driver’s smartphone use was measured using an original scale developed by the authors. A binary logistic regression was conducted which showed that the longer average time spent per day on a smartphone and a lack of knowledge of the mobile phone road law were the strongest positive predictors of illegal use (OR = 1.32, 95% CI = 1.09–1.60; OR = 1.84, 95% CI = 1.48–2.28, respectively). However, only one nomophobia factor (i.e., access to information) significantly predicted illegal smartphone use (OR = 1.06, 95% CI = 1.04–1.09). Smartphone use is a complex and contextual behaviour, therefore, focusing on the fear of being without in dependency overlooks the nuances of the need to be with. This study offered several practical interventions that may mitigate illegal smartphone use and reduce the likelihood of crashes among Victorian road users.     

Utilizing driving simulators for persons with multiple sclerosis: A scoping review

ObjectiveThis scoping review synopsized and mapped the evidence on the utility of driving simulators for drivers with Multiple Sclerosis (MS) including participant characteristics (e.g., demographic, clinical) suited to simulator use; and driving scenario environments, maneuvers, and outcomes reflective of driving performance.Data SourcesThe research team searched six databases for English studies on driving simulator performance in drivers with MS.Study SelectionFour reviewers independently screened 976 unique titles, 148 abstracts, and 18 full-text sources for study inclusion or exclusion. Inclusion criteria ensured that studies utilized measures of driving simulator performance in adults 18 years or older with MS.Data ExtractionReviewers independently charted, verified, and achieved consensus on 100% of the data in the extraction table.Data SynthesisThe scoping review included thirteen studies (twelve assessment, one intervention), published between 2001 and 2021. Studies included small samples (N = 11–50) of adults (M age = 36–50 years; 40–91% female), mostly with a relapsing-remitting (53–100%) diagnosis and low to moderate physical disability (Expanded Disability Status Scale score < 6.0). The assessment studies utilized driving scenarios to assess pre-driving (n = 1) or driving abilities (n = 2), responses to hazardous events in suburban (n = 1) or urban environments (n = 4), or the ability to maintain speed or lateral lane positioning during monotonous highway drives (n = 7), with four scenarios also including responses to secondary divided attention tasks. The intervention study utilized driving simulation as a training program to improve driving-related skills.ConclusionsThe evidence on the utility of driving simulators for adults with MS is limited to assessment of driving performance, mostly during monotonous highway drives. Further research should consider exploring how driving simulators can be utilized to assess driving performance in other environments or for intervention. Gender should be examined to support gender diverse populations.     

Preventing road crashes: Do infringements for traffic offences have a deterrent effect amongst drivers aged 40+? An examination of administrative data from Victoria,Australia

This study aimed to determine whether receiving a traffic infringement has a deterring influence on subsequent risky driving, measured through risk of crash involvement.Licensing, infringements and crash data for drivers aged 40+ from the Australian state of Victoria were analysed. A case-case-time-control study design was used. Overall, the odds of receiving an infringement in the month prior to a crash were 35 per cent higher than receiving an infringement in the same month the year prior, for the case group, adjusted for the change over time in the control group (Odds Ratio = 1.35, 95% CI 1.17–1.57, p < 0.001). Rather than infringements preceding a period of reduced crash involvement, and thus potentially indicating a deterrent effect, the odds of receiving an infringement in the one-month period just prior to a crash occurring was greater. Infringements for traffic offences may not be deterring further risky driving behaviours.     

Driving performance while using a mobile phone: A simulation study of Greek professional drivers

PurposeThe current study aims to assess the driving performance of professional drivers while using a mobile phone.Material and methodsA sample of 50 male professional drivers participated in the study. The sample was drawn conveniently from the professional drivers’ registries and the main taxi ranks. The inclusion criteria were: (a) age above 18 years, (b) possession of a driving license, (c) sufficient reading, writing, and communicating skills, (d) informed consent prior to participation. Laboratory tests were conducted using the VS500M driving simulator manufactured by Virage Simulation Inc. The intervention involved different tasks/assignments: (a) driving without using a mobile phone (Control time), (b) driving while having a conversation on the mobile phone, (Task_1), (c) driving while reading out loud text messages (Task_2) and, (d) driving while texting (Task_3). Differences in the driving performance between the control time and the time with assignments, were examined. The participants were evaluated on the followings outcome measures: (a) variation of the steering position per second, (b) following distance per second, (c) variation of the lateral lane position per second, and (d) sum of squared acceleration per second.ResultsThe analysis indicated that “variation of the steering position per second” was significantly affected by “text-message reading” [t(50) = −5.443; p < 0.0001] and “texting” [t(50) = −5.442; p < 0.0001]. A significant main effect was observed in terms of the “following distance per second” and the “variation of the lateral lane position per second” for all the three mobile phone assignments. Lastly, the “sum of squared acceleration per second” was significantly decreased during conversation on the phone [t(50) = 2.713; p = 0.009] as well as during texting [t(50) = 3.428; p = 0.001] as compared with the control time.ConclusionsThe study is among the few existing experimental studies in a country with one of the highest road fatalities in Europe but with limited evidence on road traffic behaviour. This study could guide the design of large-scale simulation studies aiming to explore the impact of mobile phone on driving behaviour.     

Effects of partial sleep deprivation: A comparative assessment of young non-professional and professional taxi drivers

AimThis study aims to determine the effects of partial sleep deprivation (PSD) on driving performance of professional and young non-professional drivers.MethodsThe study included fifty participants (20 professional taxi drivers and 30 young non-professional drivers) driving the simulator-cab in three conditions. The first test session (TS1) was conducted after one night of PSD followed by the second test (TS2) after two consecutive nights of PSD. The driving performance metrics in two conditions of PSD (i.e., sleep duration = 4.25 ± 0.5 h) were compared with the baseline drive with no sleep loss. Sleep restriction was monitored using Actiwatch. Drivers subjectively self-reported their alertness using Karolinska Sleepiness Scale (KSS). Driving performance metrics and reaction time to emergency events were collected during each drive.ResultsA preliminary mixed-design ANOVA showed deterioration in driving performance of all drivers in terms of speed (p < 0.1), speed variability (p = 0.06), standard deviation in lateral positions (SDLP) (p < 0.001) and delayed reaction time (p < 0.05). Separate Mixed-Effects Generalized Linear Models for professional and non-professional drivers showed that speed variability, SDLP and reaction time increased from baseline during both the PSD tests, among both the driving groups. The speed variability, SDLP and reaction time of professional drivers differed significantly from other drivers under PSD conditions. Contrary to the existing belief, the professional drivers had significant decrements in driving performance due to PSD.ConclusionA critical and comparative analysis revealed that driving experience/skill of professional drivers does not improve their resistance to deteriorating effects of sleep loss.     

Perception of unsafe driving behaviour and reported driving behaviour among commercial motorcyclists in Dar es Salaam,Tanzania

Commercial motorcycle drivers are recognised to take high risks while driving, but little is known about their perception of these risks. This paper presents the results of a survey of 400 commercial motorcyclists' perception of unsafe driving behaviours and then determine the association between the perception of unsafe driving behaviour and reported driving behaviour. The study was carried out in Dar es Salaam between December 8th 2018 and March 24th 2019. Drivers aged 18 years and above were selected from 90 parking stages within the city and completed a structured interview. Modified Poisson regression was used to estimate the prevalence ratios (PRs). We found that close to 60% of drivers considered unsafe driving to be unsafe. However, reported unsafe driving behaviour was moderately common. Our results showed that reported unsafe driving behaviour (adjusted PR = 1.7; 95% CI 1.3–2.2) was associated with a low perception of the dangers of unsafe driving among motorcyclists. The higher the earnings a driver had (adjusted PR = 1.6; 95% CI 1.2–2.0), the higher the likelihood of having a low perceived risk of unsafe behaviour. These findings suggest that commercial motorcyclists' unsafe behaviour are, for the most part, not the result of a poor perception of the involved risks.     

The psychosocial purpose of driving and its relationship with the risky driving behaviour of young novice drivers

BackgroundThe overrepresentation of young drivers in road crashes, injuries and fatalities around the world has resulted in a breadth of injury prevention efforts including education, enforcement, engineering, and exposure control. Despite multifaceted intervention, the young driver problem remains a challenge for injury prevention researchers, practitioners and policy-makers. The intractable nature of young driver crash risks suggests that a deeper understanding of their car use – that is, the purpose of their driving – is required to inform the design of more effective young driver countermeasures.AimsThis research examined the driving purpose reported by young drivers, including the relationship with self-reported risky driving behaviours including offences.MethodsYoung drivers with a Learner or Provisional licence participated in three online surveys (N1 = 656, 17–20 years; N2 = 1051, 17–20 years; N3 = 351, 17–21 years) as part of a larger state-wide project in Queensland, Australia.ResultsA driving purpose scale was developed (the PsychoSocial Purpose Driving Scale, PSPDS), revealing that young drivers drove for psychosocial reasons such as for a sense of freedom and to feel independent. Drivers who reported the greatest psychosocial purpose for driving were more likely to be male and to report more risky driving behaviours such as speeding. Drivers who deliberately avoided on-road police presence and reported a prior driving-related offence had significantly greater PSPDS scores, and higher reporting of psychosocial driving purposes was found over time as drivers transitioned from the supervised Learner licence phase to the independent Provisional (intermediate) licence phase.Discussion and conclusionsThe psychosocial needs met by driving suggest that effective intervention to prevent young driver injury requires further consideration of their driving purpose. Enforcement, education, and engineering efforts which consider the psychosocial purpose of the driving are likely to be more efficacious than those which presently do not. Road safety countermeasures could reduce the young driver’s exposure to risk through such mechanisms as encouraging the use of public transport.     

Reward versus punishment: Reinforcement sensitivity theory,young novice drivers’ perceived risk,and risky driving

One reason that young novice drivers remain statistically over-represented in road deaths is their rate of engagement in risky driving. Prominent contributing factors include driver’s age, sex, personality, risk perception, and their driving experience. This study applied reinforcement sensitivity theory (RST, specifically reward sensitivity and punishment sensitivity) to predict young novice drivers’ perceived risk and self-reported risky driving engagement, while accounting for potential influences of age, sex, and driving experience. Drivers (N = 643, 490 females, 17–25 years, M = 20.02, SD = 2.32) who held an Australian driver’s license (P1, P2, or Open) anonymously completed an online survey containing the Behaviour of Young Novice Drivers Scale, the Sensitivity to Punishment and Sensitivity to Reward Questionnaire, and a measure of perceived risk of driving-related behaviours. A path analytic model derived from RST showed that perceived risk had the strongest negative association with reported risky driving engagement, followed by reward sensitivity (positive association). Respondent’s age and reward sensitivity were associated with perceived risk. Age, reward sensitivity, and perceived risk were associated with reported engagement in risky driving behaviours. Driver sex only had direct paths with RST variables, and through reward sensitivity, indirect paths to perceived risk, and reported risky driving. Neither punishment sensitivity nor driving experience contributed significantly to the model. Implications and applications of the model, and the unique set of variables examined, are discussed in relation to road safety interventions and driver training.     

Parents’ perceptions of the Family Climate for Road Safety: Associations with parents’ self-efficacy and attitudes toward accompanied driving,and teens’ driving styles

In order to better understand parental influence on teen driving, a series of three studies were conducted among parents of young drivers to examine the association between their scores on the Family Climate for Road Safety Scale (FCRSS; Taubman – Ben-Ari & Katz – Ben-Ami, 2013) and three relevant factors: parental self-efficacy (Study 1, n = 101); parents’ attitudes toward accompanied driving (Study 2, n = 100); and teen’s driving styles (Study 3, n = 235 parents–young drivers pairs). The findings of Study 1 revealed significant associations between parents’ scores on the positive FCRSS dimensions and their self-reported parental competence. In addition, parents’ lack of commitment to safe driving was related to lower parental self-efficacy. Study 2 indicated significant associations between parents’ scores on the positive FCRSS dimensions and the positive attitude of relatedness during the accompanied driving phase. Negative associations were found between these FCRSS dimensions and negative perceptions of the accompanied driving phase (i.e., tension, disapproval, and avoidance). The findings of Study 3 showed significant associations between parents’ scores on the positive FCRSS dimensions and their offspring’s careful driving style, as well as negative associations between these dimensions and offspring’s endorsement of the reckless, angry, and anxious driving styles. Taken together, the results indicate the importance of the family climate as part of a global understanding of the dynamic surrounding youngsters’ driving. Furthermore, they show that the particular driving-related family climate is associated not only with parents’ self-perceptions and conduct in the early stages of their children’s driving (the accompanied driving phase of a GDL), but also impacts the way teenagers ultimately choose to drive, when they are on their own. Implications for interventions are discussed.     

Factor structure and measurement invariance of the multidimensional driving style inventory across gender and age: An ESEM approach

The Multidimensional Driving Style Inventory (MDSI) is the most comprehensive measure of typical driving behavior to date and has been frequently used to compare driving styles across different groups of drivers, particularly between gender- and age-related groups. However, the factor structure of MDSI has not been clearly established and its measurement invariance has not been demonstrated. The goal of the present study was to examine the internal structure and measurement invariance of the MDSI across gender and age. A sample of 1277 drivers from Argentina responded to the Argentinian version of the MDSI. Exploratory structural equation modeling (ESEM) was used to test the factor structure and measurement invariance across females (n = 602) and males (n = 675), and across young (18–29, n = 558), adult (30–49, n = 395) and older (50 and older, n = 317) drivers. The results showed that a 36-item six-factor ESEM model represented by risky, angry, dissociative, anxious, distress-reduction and careful and patient driving styles was the best model based on fit indices and interpretability. Configural, weak and strong invariance of the six-factor ESEM model across gender and age was also supported. The MDSI in its Argentinian version is equivalent across gender and age, supporting the validity of previous research findings examining gender and age differences in driving styles. Future studies should examine the measurement invariance of the MDSI across other relevant driving-related variables.     

Self-concept as a risky driver: Mediating the relationship between racing video games and on-road driving violations in a community-based sample

PurposeThe mediating relationship of self-conceptions as a risky driver on self-reported driving violations was examined for players of “drive’em up” and “circuit” racing video games using an Internet survey of automobile and racing club members. Structural equation modelling (SEM) tested Fischer et al. (2012) extended socio-cognitive model on the effects of risk-glorifying media on cognitions and actions.MethodAn Internet questionnaire was developed and relied upon validated instruments or questions derived from previous surveys. Driver club members were asked about: (1) their frequency of video game playing, (2) self-perceptions as a risky driver and (3) self-reported driving violations. SEM was performed to examine mediating effects of racing video game playing on self-reported driving violations.ResultsPlaying “drive‘em up” video games positively predicted risky self-concept (β = .15, t = 2.26), which in turn, positively predicted driving violations (β = .73, t = 8.63), while playing “circuit racing” games did not predict risky self-concept, although risky self-concept did predict driving violations (β = .72, t = 8.67).ConclusionsSelf-concept as a risky driver mediated the relationship between racing video game playing and self-reported driving violations for “drive’em up”, but not for “circuit racing” video games. These findings are congruent with Fischer and colleagues’ experimental model that self-concept as a reckless driver mediated the relationship between racing video game playing for “drive’em up”, but not for “circuit racing” games and risk-taking behavior in a video of road traffic scenarios.     

Refreshing Older Adults’ Driving Skills (ROADSkills): A randomized controlled trial examining the effect of video feedback

ObjectivesThis study evaluated the effectiveness of a personalized video-based driver training program on the behind-the-wheel skills of community-dwelling older adults.MethodIn this randomized controlled trial (RCT), 80 older drivers [mean age (SD) = 71.0 (3.9)] were randomly assigned to view one of two educational videos: 1) personalized video feedback on their driving (n = 40) or 2) a generic video on aging-in-place (n = 40). The primary outcome, the total number of errors accrued in a 30-minute standardized on-road evaluation, was analyzed at baseline and 4 weeks after watching the assigned video. On-road evaluations were video-recorded and scored by a blinded rater. Self-report measures of driving abilities, behaviors, and comfort were also compared.ResultsAt the 4-week follow-up, the mean difference in the number of on-road performance errors [mean (95% CI) = -12.0 (-16.6, −7.4), p < 0.001] favored the intervention group compared to controls, with significant improvements across multiple domains: vehicle control [mean (95% CI) = -4.8 (-8.1, −1.5), p < 0.01], observing the roadway [mean (95% CI) = -5.5 (-8.4, −2.6), p < 0.001], and compliance with traffic rules [mean (95% CI) = -1.3 (-2.3, −0.2), p < 0.05]. Within-group change on behind-the-wheel errors was significant for the intervention group [mean (95% CI) = -10.3 (-13.5, −7.1), p < 0.001], but not for the control group [mean (95% CI) = 1.7 (-1.6, 4.9), p > 0.05]. No significant differences were found on the self-report measures.DiscussionA novel, video-based approach that provided personalized feedback to older drivers significantly reduced behind-the-wheel errors 4-weeks post-intervention. Changes in self-reported driving behaviors and abilities were not significant. Future research will examine the long-term effects of this approach on older adults’ actual and perceived driving abilities.     

Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence

Adaptive cruise control (ACC), a driver assistance system that controls longitudinal motion, has been introduced in consumer cars in 1995. A next milestone is highly automated driving (HAD), a system that automates both longitudinal and lateral motion. We investigated the effects of ACC and HAD on drivers’ workload and situation awareness through a meta-analysis and narrative review of simulator and on-road studies. Based on a total of 32 studies, the unweighted mean self-reported workload was 43.5% for manual driving, 38.6% for ACC driving, and 22.7% for HAD (0% = minimum, 100 = maximum on the NASA Task Load Index or Rating Scale Mental Effort). Based on 12 studies, the number of tasks completed on an in-vehicle display relative to manual driving (100%) was 112% for ACC and 261% for HAD. Drivers of a highly automated car, and to a lesser extent ACC drivers, are likely to pick up tasks that are unrelated to driving. Both ACC and HAD can result in improved situation awareness compared to manual driving if drivers are motivated or instructed to detect objects in the environment. However, if drivers are engaged in non-driving tasks, situation awareness deteriorates for ACC and HAD compared to manual driving. The results of this review are consistent with the hypothesis that, from a Human Factors perspective, HAD is markedly different from ACC driving, because the driver of a highly automated car has the possibility, for better or worse, to divert attention to secondary tasks, whereas an ACC driver still has to attend to the roadway.     

Nonsuicidal Self‐Injury among Adolescents: A Training Priority for Primary Care Providers

Primary care providers were surveyed to determine how prepared they feel to address nonsuicidal self‐injury (NSSI) among adolescents, their interest in training on NSSI, and factors associated with routinely asking about NSSI when providing health supervision. Participants included family medicine physicians (n = 260), pediatricians (n = 127), family nurse practitioners (n = 96), and pediatric nurse practitioners (n = 54). Almost 50% felt unprepared to address NSSI, and over 70% wanted training in this area. Overall, relative to other areas of mental health care, clinicians felt least prepared to address and wanted more training on NSSI. Just 27% reported they routinely inquired about NSSI during health supervision. Factors associated with routinely asking about NSSI were identifying as female (OR = 2.37; 95% CI = 1.25–4.49), feeling better prepared to address NSSI (OR = 1.51; 95% CI = 1.04–2.20), and more frequently using a psychosocial interview to identify adolescents in distress (OR = 1.23; 95% CI = 1.02–1.48). Teaching clinicians to assess NSSI within a psychosocial interview may increase screening for and identification of the behavior among adolescents in primary care.     

Behind the wheels with autism and ADHD: Brain networks involved in driving hazard detection

Driving is a cognitively challenging task, and many individuals with autism spectrum disorder (ASD) or with attention-deficit/hyperactivity disorder (ADHD) struggle to drive safely and effectively. Previous evidence suggests that core neuropsychological deficits in executive functioning (EF) and theory of mind (ToM) may impact driving in ASD and ADHD. This functional magnetic resonance imaging (fMRI) study compares the brain mechanisms underlying ToM and EF during a hazard perception driving task. Forty-six licensed drivers (14 ASD, 17 ADHD, 15 typically developing (TD)), ages 16–27 years, viewed a driving scenario in the MRI scanner and were instructed to respond to driving hazards that were either “social” (contained a human component such as a pedestrian) or “nonsocial” (physical objects such as a barrel). All groups of participants recruited regions part of the “social brain” (anterior insula, angular gyrus, right middle occipital gyrus, right cuneus/precuneus, and right inferior frontal gyrus) when processing social hazards, and regions associated with motor planning and object recognition (postcentral gyrus, precentral gyrus, and supplementary motor area) when processing nonsocial hazards. While there were no group differences in brain activation during the driving task, years licensed was predictive of greater prefrontal and temporal activation to social hazards in all participants. Findings of the current study suggest that high-functioning ASD and ADHD licensed drivers may be utilizing similar cognitive resources as TD controls for decisions related to driving-related hazard detection.     

Mirror,mirror - Does the fitness club industry have a body image problem?

The primary aim of the present study was to report longitudinal data on body image across the first year of gym engagement. Second, we aimed to compare body image among those who reported regular use of the fitness club (≥2 sessions/week) with those who did not (≤1exercise session/week or no exercise/dropout), as well as between genders and Body Mass Index groups (BMI<25 and BMI≥25) at membership start-up. Novice exercisers (n = 250) from 25 fitness clubs in Oslo (Norway) responded to an online questionnaire at start-up, three, six and 12-months follow-up, with a high response rate (100%, 89.6%, 85.2% and 74.8%). The questionnaire covered background/health information and exercise involvement. A modified Multidimensional Body Self Relations Questionnaire Appearance Scales (MBSRQ-AS), comprising five subscales (appearance satisfaction, appearance investment, weight-related attitude, self-classified weight and Body Areas Satisfaction Scale (BASS), was used to gather repeated measures of body image. Data were analysed separately for each subscale and as a body image total score, using a linear mixed model adjusted for baseline, gender and BMI. We found differences in body image total score reported at six months when compared with onset (0.04, 95% CI 0.005–0.078, p = 0.024), whereas the subscale appearance satisfaction was different at three (0.08, 95% CI 0.015–0.164, p = 0.018), six (0.11, 95% CI 0.039–0.197, p = 0.003) and twelve (0.10, 95% CI 0.021–0.179, p = 0.013) months when compared with onset. Also the subscale BASS was different at three (0.17, 95% CI 0.009–0.255, p < 0.001), six (0.21, 95% CI 0.127–0.301, p < 0.001) and twelve (0.26, 95% CI 0.143–0.388, p < 0.001). Participants adhering to regular exercise (≥2 times weekly) had better outcomes on total body image than those who exercised less frequently or irregularly (three: 2.94 vs. 2.83, p = 0.027 and 12-months: 2.97 vs. 2.85, p = 0.028).At membership start-up, being male (p < 0.001) and having a BMI<25 (p = 0.003), were the strongest factors associated with reporting a higher score on total body image. In conclusion, we found improved body area and appearance satisfaction in novice exercisers across the first year of fitness club membership.     

The differences in hazard response time and driving styles of violation-involved and violation-free taxi drivers

The present study aimed to investigate the relationships between taxi drivers’ traffic violations in past driving and two domains: driving skill (hazard perception skill) and driving style. Five hundred and fifty taxi drivers aged 25 – 59 were recruited to finish a video-based hazard perception test and the Chinese version of the Multidimensional Driving Style Inventory (MDSI). The relationships between hazard response time, driving style and traffic violations were examined, and the differences in hazard response times and driving styles of violation-involved drivers (n = 220) and violation-free drivers (n = 330) were compared. The results showed that taxi drivers’ traffic violations are closely related to their driving styles and hazard response time. Violation-involved drivers scored significantly higher in hazard response time and maladaptive driving styles (i.e., anxious, risky and angry styles) and lower in careful driving style than violation-free drivers. More importantly, drivers’ hazard response time and driving styles can effectively predict their violation involvement in the last 12 months with an overall classification accuracy of 66.4%. The findings provide evidence for the usefulness of video-based hazard perception tests and the MDSI in taxi driver testing and training.     

“I would have lost the respect of my friends and family if they knew I had bent the road rules”: Parents,peers, and the perilous behaviour of young drivers

Young novice drivers are at considerable risk of injury on the road. Their behaviour appears vulnerable to the social influence of their parents and friends. The nature and mechanisms of parent and peer influence on young novice driver (16–25 years) behaviour was explored via small group interviews (n = 21) and two surveys (n1 = 1170, n2 = 390) to inform more effective young driver countermeasures. Parental and peer influence occurred in pre-Licence, Learner, and Provisional (intermediate) periods. Pre-Licence and unsupervised Learner drivers reported their parents were less likely to punish risky driving (e.g., speeding). These drivers were more likely to imitate their parents and reported their parents were also risky drivers. Young novice drivers who experienced or expected social punishments from peers, including ‘being told off’ for risky driving, reported less riskiness. Conversely drivers who experienced or expected social rewards such as being ‘cheered on’ by friends – who were also more risky drivers – reported more risky driving including crashes and offences. Interventions enhancing positive influence and curtailing negative influence may improve road safety outcomes not only for young novice drivers, but for all persons who share the road with them. Parent-specific interventions warrant further development and evaluation including: modelling safe driving behaviour by parents; active monitoring of driving during novice licensure; and sharing the family vehicle during the intermediate phase. Peer-targeted interventions including modelling of safe driving behaviour and attitudes; minimisation of social reinforcement and promotion of social sanctions for risky driving also need further development and evaluation.     

Driving environments that influence on-road outcomes in persons with Multiple Sclerosis

IntroductionDrivers with Multiple Sclerosis (MS) who demonstrate adjustment to stimuli and gap acceptance errors may be prone to fail a standardized on-road assessment. However, the complexity (e.g., traffic speed, volume of road users, flow of traffic, spaced interchanges) of driving environments, and their relationship to driving errors critical for failing, is not fully understood. This prospective research study determines the predictive validity of the total number of adjustment to stimuli and gap acceptance errors (modelled as one variable) in residential, suburban, city, or highway environments on drivers with MS failing (vs. passing) a standardized on-road assessment.MethodsCommunity-dwelling participants with MS (N = 35) completed a comprehensive driving evaluation consisting of clinical and on-road assessments, adhering to the regulations for assessing fitness to drive in Ontario, Canada.ResultsLogistic regression models indicated that, as sole predictors, the total number of adjustment to stimuli and gap acceptance errors made in suburban (OR = 0.43, 95% CI = [0.23, 0.83], p = .012) and city environments (OR = 0.34, 95% CI = [0.13, 0.89], p = .028) significantly increased the odds of participants failing the on-road assessment. Also, the total number of adjustment to stimuli and gap acceptance errors made in suburban (AUC = 0.84, SE = 0.11, p = .006, 95% CI = [0.63, 1.00]) and city environments (AUC = 0.74, SE = 0.12, p = .05, 95% CI = [0.51, 0.98]) predicted on-road outcomes. A cut-point of 4 or more adjustment to stimuli and gap acceptance errors made in suburban environments optimally predicted on-road outcomes with 71.4% sensitivity, 92.9% specificity, and 4 misclassifications; while a cut-point of 2 or more adjustment to stimuli and gap acceptance errors made in city environments optimally predicted on-road outcomes with 57.1% sensitivity, 92.9% specificity, and 5 misclassifications.ConclusionThe total number of adjustment to stimuli and gap acceptance errors made in suburban and city environments predict drivers with MS failing a standardized on-road assessment. Assessing adjustment to stimuli and gap acceptance errors in these environments are critical for informing fitness to drive decisions.