Delinquency and alcohol-impaired driving among young males: A longitudinal study

Behind the wheel and on the map: Genetic and environmental associations between drunk driving and other externalizing behaviors

Drunk driving, a major contributor to alcohol-related mortality, has been linked to a variety of other alcohol-related (e.g., Alcohol Dependence, early age at first drink) and non-alcohol-related externalizing behaviors. In a sample of 517 same-sex twin pairs from the National Longitudinal Study of Adolescent Health, we examined 3 conceptualizations of the etiology of drunk driving in relation to other externalizing behaviors. A series of behavioral-genetic models found consistent evidence for drunk driving as a manifestation of genetic vulnerabilities toward a spectrum of alcohol-related and non-alcohol-related externalizing behaviors. Most notably, multidimensional scaling analyses produced a genetic "map" with drunk driving located near its center, supporting the strength of drunk driving's genetic relations with a broad range of externalizing behaviors. In contrast, nonshared environmental associations with drunk driving were weaker and more diffuse. Drunk driving may be a manifestation of genetic vulnerabilities toward a broad externalizing spectrum.

Unlicensed driving and other related health risk behaviors: a study of Montana high school students

PURPOSE

Health risk behaviors tend to cluster in young people, not least among young drivers. Less is known about the health risk profile of young unlicensed drivers. This study investigates health risk behaviors among young unlicensed drivers compared to both their licensed and driving peers, and their non-driving peers.

METHODS

High school students participating in the Youth Risk Behavior Surveillance System in Montana (US) and age-eligible to have a driver's license were studied (n=5985), categorized according to their self-reported car driving and license practice (licensed driving, unlicensed driving, and non-driving). Ten health risk behaviors, of which four were related to car riding/driving, were considered. Multinomial logistic regression was used to compile sex-specific odds ratios (with 95% confidence intervals) of adopting those behaviors using licensed drivers as a reference and adjusting for age and race/ethnicity.

RESULTS

Health risk behaviors tended to be more common among unlicensed drivers than other groups, although some behaviors were prevalent in all groups (i.e., alcohol use and lack of seat belt use). As a consequence, for both male and female students, there was a significant association between unlicensed driving and most health risk behaviors, except for being involved in a physical fight and riding with a drinking driver among female students.

CONCLUSIONS

Young unlicensed drivers are more likely than licensed drivers to adopt several health risk behaviors both in car driving/riding or otherwise, in particular alcohol use and cigarette smoking. This challenges any simplistic approach as unlicensed driving in youth is not an isolated act suggesting public health and traffic safety initiatives.

Modeling the dimensionality of DSM-IV alcohol use disorder criteria in a nationally representative sample of college students

This study examined the dimensionality of DSM-IV alcohol use disorder (AUD) criteria in a nationally representative sample of college students (N = 4,605) using latent variable techniques. We used data from the 2009 National Survey of Drug Use and Health and selected those who were currently enrolled in college and current drinkers. Confirmatory factor analysis provided support for a one-factor solution of the AUD criteria. Item Response Theory analyses indicated that the alcohol abuse and dependence criteria severity parameters were intermixed along the AUD severity continuum with high discrimination parameters. Findings support reformulating the current AUD diagnostic system for the DSM-V. Study's limitations are noted.

Personal and contextual factors in the escalation of driving after drinking across the college years

College students continue to drive after drinking at alarmingly high rates. Age trends suggest that driving after drinking increases from late adolescence across the college years, largely mirroring trends in binge drinking. Relatively little research, however, has examined change over time in driving after drinking among college students or tested whether some students might be at greater risk of escalations in driving after drinking. Using a sample of 1,833 nonabstaining students who completed surveys for seven semesters across the college years, we tested whether personal (i.e., age of drinking onset, gender, risk perceptions, and sensation seeking) and contextual (i.e., college residence) factors were associated with changes in driving after drinking. Using latent growth curve modeling, we found significant individual differences in rates of change in driving after drinking. Male students and students who began drinking earlier in life increased in driving after drinking more rapidly, whereas living in on-campus housing was associated with time-specific decreases in driving after drinking. These results demonstrate the value of considering driving after drinking from a longitudinal perspective and suggest possible avenues toward preventing the public health consequences of intoxicated driving.