Young drivers vs. non-drivers: are there differences in behaviour?

BACKGROUND: Traditionally, a first step toward independence for a North American youth has been to obtain a driver's licence. Licensure can be associated with freedom and independence to provide teens opportunities to participate in conventional and health-enhancing behaviours, such as school, work, sporting events and other social activities, and/or provide opportunities to engage in unconventional, risk taking and health compromising behaviours. Yet, recent trends show that youth are delaying getting their licence. OBJECTIVE: The purpose of this study was to use the constructs of conventional and unconventional behaviours identified in Problem Behaviour Theory (PBT) under the behaviour system to examine whether driver licensure status in youth was associated with conventional, health-enhancing behaviours or unconventional, health compromising, risky behaviours. METHOD: Data were derived from the 2015 and 2017 cycles of the Ontario Student Drug Use Survey (OSDUHS). Analyses are based on a subsample of students who were at least 16 years of age. Included measures: driver's licence (at least a G1 - the first stage of a 3-stage graduated licensing system), conventional behaviours (academic performance, school connectedness, employment, physical activity, and sleep), unconventional behaviours (tobacco use, cannabis use, alcohol use, binge drinking, hazardous drinking, problematic drug use, screen time, and number of antisocial behaviours), and control factors (age, sex, region, family Socio-Economic Status (SES)). RESULTS: 67.97 % of youth 16-19 years of age obtained a driver's licence. Of the sample, 71.80 % of males, 75.05 % not living in the Greater Toronto Area (GTA), and 70.86 % of youth with an average family SES received their driver's licence. In regression analyses, older youth, males, and youth not living in the GTA had significantly higher odds of obtaining a driver's licence than younger youth, females, and youth living in the GTA. Conventional behaviours that were significantly positively associated with licensure status included youth who had high academic achievement, good social connectedness, and who were employed. Unconventional behaviours that were significantly positively associated with licensure status included alcohol use and binge drinking. DISCUSSION: In agreement with Problem Behaviour Theory, the results show that youth who obtain their licence show limited problematic lifestyle or 'proneness' (Gohari, 2019). Alcohol use and binge drinking were significantly associated with youth obtaining a driver's licence but hazardous drinking was not. This study suggests that a driver's licence for youth could both control but also instigate unconventional behaviours as identified by PBT. A driver's licence could also provide opportunities for conventional behaviours associated with education and school connectedness. However, the independence provided by a driver's licence could offer youth unsupervised social opportunities to drink and binge drink that may be health-compromising. Thus, based on PBT, licensure status is associated with both conventional behaviours, as well as problem behaviours associated with alcohol use.

The relationship between motor vehicle collisions and cigarette smoking in Ontario: Analysis of CAMH survey data from 2002 to 2016.

Research has shown that tobacco users have an increased risk of collisions compared to nonsmokers. Studies from 1967 through 2013 documented a crude relative risk of collision involvement of about 1.5 among smokers compared to nonsmokers. In January 2009, in response to concerns about the health risks associated with potentially high concentrations of secondhand smoke resulting from smoking in vehicles, the provincial government in Ontario, Canada, introduced legislation restricting smoking in vehicles where children and adolescents are present. We examined the association between reported smoking and involvement in a motor vehicle collision in a large representative sample of adult drivers in Ontario, Canada, from 2002 and 2016, with particular focus on 2002-2008 and 2010-2016, periods before and after the legislation. Data are based on the Centre for Addiction and Mental Health (CAMH) Monitor. Among licensed drivers, prevalence of self-reported collision involvement within the past year for 2002-2008 was 9.39% among those who currently smoked compared to 7.08% of nonsmokers. Following implementation of the legislation, for 2010-2016, the prevalence of collisions for smokers was 7.01% and for nonsmokers was 6.02%. The overall difference for both smokers and nonsmokers between the two time periods was statistically significant; however, the difference between the two groups for the pre-legislation period was significant even after adjusting for potential confounders, while post legislation the difference was not significant. Prior to the legislation, the prevalence of collision was higher among smokers than nonsmokers; following the introduction of the legislation the prevalence was similar for the two groups.

Attention deficit hyperactivity disorder and arrest history: Differential association of clinical characteristics by sex.

Attention deficit hyperactivity disorder (ADHD) is often cited as a risk factor for criminality. However, many studies do not take other criminogenic variables into account when reporting on this relationship. It is even less clear whether models that include ADHD as a potential risk factor for criminality consider the importance of sex differences. To answer this question, we collected data from a telephone population survey sampling adults over the age of 18 years in the province of Ontario, Canada (final sample size = 5196). Respondents were screened for ADHD using the Adult ADHD Self-Report Version 1.1 Screener (ASRS-V1.1) and four extra items. Problematic drinking was assessed using the Alcohol Use Disorders Identification Test (AUDIT), while cannabis misuse was evaluated using the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST). The Antisocial Personality Disorder Scale from the Mini-International Neuropsychiatric Interview provided a measure of previous conduct disorder symptoms and the 12-item General Health Questionnaire screening procedure was used to gauge general distress. History of arrest was self-reported. Three separate logistic regression analyses (entire sample, male only, and female only) were applied to estimate the association of the foregoing variables with arrest history. In the combined sample, conduct disorder symptoms, problem alcohol use, and problem cannabis use all predicted history of arrest. With regard to the male sample, conduct disorder symptoms, elevated AUDIT and ASSIST scores, and general distress were associated with an arrest history. For the female subsample, only conduct disorder symptoms and problematic cannabis use showed a relationship with criminality. To summarize, ADHD did not predict history of arrest for either subsample or the combined sample. When comparing males and females, conduct disorder symptoms and cannabis misuse exerted stronger effects on history of arrest for females than males. These results suggest that the relative importance and type of clinical risk factors for arrest may differ according to sex. Such information could be useful for crime prevention policies and correctional programs that take into account differences in experience by sex.

Is there a link between motor vehicle collisions and being a cigarette smoker in Canada? Analysis of survey data from Ontario from 2002 to 2014.

OBJECTIVE: Although most research on drugs and driving has focused on the use of alcohol and cannabis, research that has been conducted on cigarette smoking and collisions has found that smokers have an increased collision involvement. Studies dating from 1967 through 2013 have shown a crude relative risk of about 1.5 among smokers compared to nonsmokers. In Canada, the association between smoking and collisions has not been recently investigated. Studies that have examined the association between smoking and collisions often did not control for all confounding factors, such as alcohol use and driving exposure, which have been associated with increased collision rates. Additionally, a number of these studies were examined in countries and at times when prevalence of smoking was much higher than is currently the case in Canada. The purpose of this research is to examine the association between self-reported current smoking and past-year collision involvement, controlling for confounding factors, in a large representative sample of adult drivers in Ontario, Canada, from 2002 and 2014. METHOD: Data are based on the Centre for Addiction and Mental Health (CAMH) Monitor, an ongoing, rolling telephone survey of Ontario adults that provides epidemiological surveillance of indicators related to alcohol, tobacco, and other drug use, as well as physical and mental health. The survey uses random-digit-dialing methods via Computer-Assisted Telephone Interview, with response rates over 50%. RESULTS: Prevalence of self-reported collision involvement within the past year for 2002-2014 was 8.6% among those who currently smoke compared to 6.5% of nonsmokers. Logistic regression analysis, controlling for the potential confounding effects of sociodemographics, driving exposure measures, drinking frequency, and hazardous alcohol use, found that the overall odds for collision involvement in the preceding year among current smokers for 2002-2014 was 1.27 (95% confidence interval [CI], 1.06-1.53) times that of nonsmokers. CONCLUSIONS: These findings indicate that despite a substantial reduction in overall prevalence of smoking in Canada, smokers still have a significantly increased odds of collision involvement, even when controlling for alcohol and exposure. Additionally, the results are consistent with the increased odds/risks of motor vehicle collisions found in other countries.

Adult attention deficit hyperactivity disorder symptom profiles and concurrent problems with alcohol and cannabis: sex differences in a representative, population survey.

BACKGROUND: Adult attention deficit hyperactivity disorder (ADHD) shows a robust association with alcohol and cannabis misuse, and these relationships are expressed differently in males and females. Manifestation of specific ADHD symptom profiles, even in the absence of the full disorder, may also be related to problems with alcohol and cannabis, although these relationships have not been investigated in epidemiological studies. To address this question, we studied the sex-specific associations of ADHD symptomatology with problematic alcohol and cannabis use in a representative sample of adults aged 18 years and older residing in Ontario, Canada. METHODS: Data were obtained from the Centre for Addiction and Mental Health Monitor, an ongoing cross-sectional telephone survey, between January 2011 and December 2013. Respondents (n = 5080) reported on current ADHD symptomatology, measured using the Adult ADHD Self-Report Version 1.1 Screener (ASRS-V1.1) and four additional items, and alcohol and cannabis use, which were measured using the Alcohol Use Disorders Identification Test (AUDIT) and the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST), respectively. Logistic regression analyses were conducted in men and women to test the association of each ADHD symptom cluster (hyperactivity, inattentiveness, impulsivity) with problematic alcohol and cannabis use. RESULTS: After controlling for age, education, and comorbid internalizing and externalizing psychopathology, hyperactive symptoms were associated with problematic alcohol use in both men and women and with problematic cannabis use in men. Impulsive symptoms were independently associated with problematic cannabis use in men. By contrast, inattentive symptomatology predicted problems with alcohol and cannabis only in women. In all models, age was negatively associated with substance misuse and externalizing behavior was positively correlated and the strongest predictor of hazardous alcohol and cannabis use. CONCLUSIONS: ADHD symptom expression in adulthood is related to concurrent hazardous use of alcohol and cannabis. Distinctive ADHD symptom profiles may confer increased risk for substance misuse in a sex-specific manner.

Attention deficit hyperactivity disorder, other mental health problems, substance use, and driving: examination of a population-based, representative canadian sample.

PURPOSE: The purpose of this study is to examine the relationships among self-reported screening measures of attention deficit hyperactivity disorder (ADHD), other psychiatric problems, and driving-related outcomes in a provincially representative sample of adults 18 years and older living in the province of Ontario, Canada. METHODS: The study examined the results of the Centre for Addictions and Mental Health (CAMH) Ontario Monitor, an ongoing repeated cross-sectional telephone survey of Ontario adults over a 2-year period. Measures included ADHD measures (Adult ADHD Self-Report Scale-V1.1 [ASRS-V1.1], previous ADHD diagnosis, ADHD medication use); psychiatric distress measures (General Health Questionnaire [GHQ12], use of pain, anxiety, and depression medication); antisocial behavior measure (The Antisocial Personality Disorder Scale from the Mini-International Neuropsychiatric Interview [APD]); substance use and abuse measures (alcohol, cannabis, and cocaine), Alcohol Use Disorders Identification Test (AUDIT), Alcohol, Smoking and Substance Involvement Screening Test (ASSIST), driving-related outcomes (driving after drinking, driving after cannabis use, street racing, collisions in past year), and sociodemographics (gender, age, vehicle-kilometers traveled). RESULTS: A total of 4,014 Ontario residents were sampled, of which 3,485 reported having a valid driver's license. Overall, 3.22% screened positive for ADHD symptoms on the ASRS-V1.1 screening tool. A greater percentage of those who screened positive were younger, reported previous ADHD diagnosis and medication use, distress, antisocial behavior, anti-anxiety and antidepressant medication use, substance use, and social problems compared to those who screened negative. However, there were no statistically significant differences between those who screened positive or negative for ADHD symptoms on self-reported driving after having 2 or more drinks in the previous hour; within an hour of using cannabis, marijuana, or hash; or in a street race or collision involvement as a driver in the past year. When a sequential regression was conducted to predict self-reported collisions, younger age and higher weekly kilometers driven showed higher odds of collision involvement, and the odds ratio for cannabis use ever approached statistical significance. DISCUSSION: This study is the first population-based study of a representative sample of adults 18 years and older living in Ontario, Canada. These results showed no relationship between the ADHD screen and collision when age, sex, and kilometers driven are controlled for. However, these analyses are based on self-report screeners and not psychiatric diagnoses and a limited sample of ADHD respondents. Thus, these results should be interpreted with caution.

Predictors of adolescent self-rated health. Analysis of the National Population Health Survey.

OBJECTIVE: To examine what factors predict adolescents' concepts of their health. METHODS: The study, based on the longitudinal National Population Health Survey, included 1,493 adolescents who were 12-19 at the time of interview. Sex, age, grade, family structure, income, disability, chronic health problems, social supports, social involvement, school/work involvement, smoking, alcohol bingeing, physical activities, Body Mass Index (BMI) and psychological health status variables were examined. Using ordinal multivariate regression, self-rated health was regressed on all predictors, which were entered in blocks hierarchically. RESULTS: The analyses revealed that adolescent perceptions of health are framed not only by their physical health status, but also by personal, socio-environmental, behavioural and psychological factors. Specifically, health problems, disability, age, female status, lower income, smoking, and higher BMI were associated with lower self-rated health. CONCLUSIONS: This study suggests that adolescent appraisals of their health are shaped by their overall sense of functioning, which includes both physical health and non-physical health dimensions.