Person-environment transactions in youth drinking and driving

Drinking and driving is a significant health risk behavior for adolescents. This study tested mechanisms by which disinhibited personality traits (impulsivity and sensation seeking) and aspects of the adolescent home/social environment (parental monitoring and alcohol accessibility) can influence changes in drinking and driving behavior over time. Two hundred two high school age youths were assessed at 2 time points, approximately 8 months apart. Zero-inflated Poisson regression analyses were used to test (a) an additive model, where personality and environmental variables uniquely predict drinking and driving engagement and frequency; (b) a mediation model, where Time 2 environmental variables mediate the influence of disinhibited personality; and (c) an interaction model, where environmental factors either facilitate or constrain the influence of disinhibited personality on drinking and driving. Results supported both the additive and interaction model but not the mediation model. Differences emerged between results for personal drinking and driving and riding with a drinking driver. Improving our understanding of how malleable environmental variables can affect the influence of disinhibited personality traits on drinking and driving behaviors can help target and improve prevention/intervention efforts.     

Development of a measure of drinking and driving expectancies for youth

The present study constructs and provides initial validation for a measure of positive expectancies for drinking and driving for use with adolescents and young adults (PEDD-Y). In Study 1, items were generated through open-ended responses from high school- and college-age youth. Data collected from a 2nd sample of college students (n = 404) identified a 29 item, 4 factor questionnaire. Two of the PEDD-Y factors (Convenience, Avoiding Consequences) explained additional variance in drinking and driving behavior above and beyond other cognitions about drinking and driving. Study 2 extended these results to a high school sample (n = 185). Study 3 demonstrated test-retest reliability of the PEDD-Y in college-age youth (n = 165). These results provide initial evidence for the utility of the PEDD-Y in assessing drinking and driving risk in adolescents and college students.     

Analysis of contributory factors for driving under the influence of alcohol: A stated choice approach

This study adopts the stated choice modeling approach to explore the contributory factors and circumstances for driving after drinking. A total of 308 drivers who participated in the Traffic Safety Reeducation Program during the period between October 17 and November 5, 2010 in Taiwan were selected to answer the questionnaire. The survey results indicate that a relatively large proportion of respondents lack of full knowledge of drunk driving regulations and the effects of impaired levels on driving ability. The results of stated choice analysis further indicate that level of impairment, police enforcement, driver’s drinking habits and knowledge of drunk driving regulations can significantly affect drivers’ choice of driving after they drink.     

Self‐enhancement,crash‐risk optimism and the impact of safety advertisements on young drivers

In Study 1, young drivers (aged between 16 and 29 years, N=314) rated their driving attributes relative to their peers. They also rated their likelihood of being involved in a crash relative to their peers (crash‐risk optimism), their crash history, stereotype of the young driver, and concern over another health issue. A self‐enhancement bias was found for all items in which self/other comparisons were made. These items formed two major factors, perceived relative driving ability and perceived relative driving caution. These factors and perceived luck relative to peers in avoiding crashes significantly predicted crash‐risk optimism. In Study 2, an experimental group of young drivers (N=173) watched safety advertisements that showed drinking and dangerous driving resulting in a crash, and a control group (N=193) watched advertisements showing people choosing not to drive after drinking. Each group then completed the self/other comparisons used in Study 1. The same factors were found, but only driving caution significantly predicted crash‐risk optimism. The experimental group showed more self‐enhancement on driving ability than the control group. In both studies, men showed substantially more self‐enhancement than women about their driving ability. Implications for safety interventions are discussed.     

Age group differences in self-reported aggressive driving perpetration and victimization

Aim

This study examined whether the predictors of self-reported aggressive driving perpetration and victimization vary across age groups.

Method

Based on data from a general-population telephone survey conducted from July 2002 through June 2005, three groups of drivers were examined: 18–34 year-olds (N = 1522), 35–54 year-olds (N = 2726), and 55 years of age or older (N = 1883). For each age group sample, logistic regression analyses examined self-reported aggressive driving perpetration and victimization in the last 12 months by measures of driving exposure, heavy drinking, cannabis use, and drinking-driving, while controlling for demographic factors.

Results

The prevalence of aggressive driving perpetration within the past year was highest for the youngest age group (51%), followed by the middle-aged group (37%), and then the oldest age group (18%). The same pattern of results was found for prevalence of aggressive driving victimization (54%, 47%, and 31%, respectively). Controlling for demographic factors, the predictors of perpetration were generally consistent across the age groups. The logistic regression model for the youngest drivers revealed that those who reported stressful driving, heavy drinking, and cannabis use had significantly increased odds of reporting perpetration of aggressive driving. For middle-aged and older drivers, stressful driving, driving on busy roads, cannabis use, and driving after drinking were associated with perpetration. In addition, increased mileage contributed to perpetration in the oldest group. The findings for victimization by aggressive driving were similar. The logistic regression model for the youngest age group identified stressful driving, cannabis use, and higher annual mileage as being associated with victimization. For the oldest age group, these same variables were significant predictors of victimization, in addition to driving on busy roads. The logistic regression for the middle-aged group identified the same predictors as that of the oldest age group; however, interestingly driving after drinking was found to predict lower victimization among middle-aged drivers.

Conclusions

Although the prevalence of aggressive driving perpetration and victimization declined with age, the factors that contributed to aggressive driving remained generally stable across the lifespan. The results suggest that efforts to reduce aggressive driving among young drivers may prove to be effective for drivers from all age groups.     

Promoting Self‐Esteem in Adolescents: The Influence of Wellness Factors

To assess the extent to which holistic wellness factors are predictive of self‐esteem, the authors administered the Coopersmith Self‐Esteem Inventories, School Form (Coopersmith, 2002), and the Five Factor Wellness Inventory (Myers & Sweeney, 2005a) to 225 adolescents ages 15 to 17 years. Wellness factors (Coping Self, Social Self, and Creative Self) explained a significant portion of the variance in components of self‐esteem (General Self‐Esteem, Home‐Parents Self‐Esteem, and School‐Academic Self‐Esteem). Implications for counselors and for further research are considered.     

A randomized trial of a brief primary-care-based intervention for reducing at-risk drinking practices.

This randomized trial evaluated an intervention for reducing at-risk drinking practices in a sample of 307 patients. Eligible drinking patterns included chronic drinking (> or = 2 drinks per day in the past month), binge drinking (> or = 5 drinks per occasion at least twice in the past month), and drinking and driving (driving after > 2 drinks in the past month). Members of the intervention group received a message from their physician during their regularly scheduled visit, a self-help manual, written personalized feedback, and up to 3 telephone counseling calls. Dropout was significantly higher in the intervention than control group.     

自控摄入小剂量酒精影响熟练驾驶行为的实验研究

一个小样本受试者内设计实验,受试者在实验允许的酒精剂量范围内自由选择摄入量。实验安排饮酒前,酒后３０分钟、１１０分钟和１７０分钟四个测试阶段,分别检验受试者在模拟驾驶和实际驾驶两项任务中的认知行为。酒后３０分钟实际驾驶的技能与其他三个测试期相比存在有意义的差别显著性;模拟测试任务中酒后对红、黄两种信号灯的认知反应时之间呈现显著性差别,酒后１１０分钟对黄色信号灯的反应明显延迟。研究提示：受试对酒精感受性的估计是不可靠的,小剂量酒精也能对驾驶行为构成伤害。     

Relation of the Big Five to Biodata and aspects of the self

Two studies examined McCrae and Costa’s system model of personality. Their model suggests the Big Five should have relatively strong associations with life history (measured in Study 1 by Biodata) and with Self-Concept (measured in Study 2 by various Self questionnaires). Study 1—210 participants (143 females) completed Bipolar Big Five Markers and a Biodata inventory. Factor Analyses confirmed the Big Five and revealed seven viable Biodata factors. Multiple regression revealed that most Biodata factors were predicted well by 2 or more Big Five traits. Study 2—199 participants (125 females) completed Bipolar Big Five Markers and an omnibus Self inventory consisting of six previously developed scales. Factor Analyses confirmed the Big Five and revealed eight viable Self factors. Multiple regression revealed that the Self factors were also predicted fairly well by two or more Big Five traits.Both studies found relatively strong associations between the Big Five and the Biodata and Self factors, which lends support to McCrae and Costa’s system model of personality. A consistent pattern of both a primary and secondary trait as joint predictors of Biodata and Self factors suggests that these areas are systematically influenced by multiple traits rather than only single traits.     

Chronic drinking, binge drinking, and drunk driving II

Data from the Rhode Island Behavioral Risk Factor Survey on self-reported alcohol consumption and drunk driving were examined. Driving while intoxicated was significantly associated with both binge drinking and chronic drinking, but the measures of drinking were not significantly associated.     

THE FAILURE OF FEEDBACK ON ALCOHOL IMPAIRMENT TO REDUCE IMPAIRED DRIVING

We examined the effects of rules to govern drinking, individual feedback on blood alcohol concentration (BAC), and public posting of group data on impaired driving on the incidence of impaired driving. Level of impairment was determined from breath samples taken from tavern patrons. Following baseline, an intervention package consisting of (a) cards to guide patrons in pacing their drinking to stay under the legal limit, (b) individual feedback on BAC, and (c) posted group feedback on the percentage of patrons driving while impaired the preceding week was introduced in two taverns. Results indicated that the intervention package did not reduce the percentage of impaired drivers departing either tavern. The addition of a brief intensive police enforcement program directed at impaired driving produced a short-term reduction in impaired driving.     

小剂量酒精伤害驾驶行为的时序效应

酒后开车普遍存在并致交通肇事居高不下的现实,对法定酒精限量的科学性提出质疑.本实验在多数国家交通法规采用的体内血液酒精水平BAL＜0.5‰的标准以下,设计三项任务对12名被试在酒前酒后四段时间内的行为实施测试,结果表明个体无法准确估计安全的酒精摄入量;小剂量酒精仍具有伤害行为的效应;酒精影响依行为复杂程度呈现时序效应.     

Behavioral risks during the transition from high school to college

The transition from high school to college is an important developmental milestone that holds the potential for personal growth and behavioral change. A cohort of 2,245 students was recruited during the summer before they matriculated into college and completed Internet-based surveys about their participation in a variety of behavioral risks during the last 3 months of high school and throughout the 1st year of college. Alcohol use, marijuana use, and sex with multiple partners increased during the transition from high school to college, whereas driving after drinking, aggression, and property crimes decreased. Those from rural high schools and those who elected to live in private dormitories in college were at highest risk for heavy drinking and driving after drinking.     

An Examination of the Relationships Between Personality,Attitudes, and Cognitions Relevant to Alcohol-Impaired Driving Tendencies1

Previous research has explored the domain of legal and educational prevention in regard to the phenomena of accidents and injuries caused by drinking and driving. Most investigations of psychological factors attempt to distinguish characteristics of drunk drivers relative to the general driving population or controls matched on driving risk variables. In contrast, the present research concentrated on the examination of the process by which empirically derived personality and general attitudinal constructs operate within a cognitive framework to influence the decision to drive. Four conceptual models were proposed that suggested the presence of direct, indirect, and moderated effects of personality and general attitudinal constructs on cognitions relevant to drunk-driving tendencies. Support was observed for a model suggesting the presence of indirect, direct, and moderating effects for the general attitudinal construct driving aggression, and support for an indirect effects model for the personality variable emotional control. The implications of these findings are discussed in the context of utilizing personality and general attitudinal constructs to improve short term cognitive-based interventions.     

Drinking and Driving: Perceptions and Evaluations as a Function of Level of Intoxication and Weather

Over the past decade, drinking and driving has been a major social problem causing deaths and injuries. The present study examined factors that may encourage this potentially self-destructive behavior. Three hundred and seventy-eight subjects were presented with scenarios describing a night of drinking with friends. Scenarios differed with respect to three levels of intoxication (not at all, slight, and very) and two levels of weather (clear and rain). Subjects were asked to estimate the proportion of their peers who would drive home or choose an alternative form of transportation. Subjects were also asked to evaluate the target who drove home or took an alternative in terms of likability, cautiousness, skillfulness and independence. Driving home was found to be the most common mode of transportation, regardless of state of drunkenness or weather conditions. Alternatives to driving home were seen as being utilized only under extreme conditions (e.g., very intoxicated and rainy weather). Moreover, persons taking one of the more cautious alternatives were perceived as overly cautious and also low in skillfulness. The practical implications for the findings are discussed with respect to enhancing education efforts.     

The roles of delay and probability discounting in texting while driving: Toward the development of a translational scientific program

A sample of 109 college students completed a survey to assess how frequently they send or read text messages while driving. In a novel discounting task with a hypothetical scenario in which participants receive a text message while driving, they rated the likelihood of replying to a text message immediately versus waiting to reply until arriving at a destination. The scenario presented several delays to a destination and probabilities of a motor vehicle crash. The likelihood of waiting to reply decreased as a function of both the delay until the destination and the probability of a motor vehicle crash. Self‐reported higher frequencies of texting while driving were associated with greater rates of both delay and probability discounting. The degree of delay discounting was altered as a function of the probability of a motor vehicle crash and vice versa. These results suggest that both delay and probability discounting are important underlying mechanisms of drivers' decision to text while driving.     

Alcohol Education Through Computer-Assisted Instruction

The author describes the application of computer-assisted instruction (CM) to alcohol education. The program, titled If You Drink, contains five modules that teach about the effects of alcohol, blood alcohol content, drinking and driving, decision making about drinking, and interactions between alcohol and commonly prescribed medications.     

An international comparative study of self-reported driver behavior

Using a large data base of 20,725 questionnaires from 19 European countries, this article uses a combination of factor analysis and tree based regression to determine driver groups with homogeneous self-reported behavior and determine whether regional differences in driving behaviors exist. Self-reported behavior, including speeding, reckless driving, seat belt use, and drinking and driving are examined. The results suggest that speeding and general reckless (dangerous) behavior are related, perhaps capturing a driver's “risk taking” or “pre-trip violations” behavior. Similarly, seat belt use and driving under the influence of alcohol are also related and may represent a driver's “law abiding” tendency or “during-trip violations” behavior. Further, important regional differences and similarities between European drivers are uncovered. Northern European drivers report a significantly higher compliance with drinking and driving laws and seat belt use regulations than do Southern and Eastern European drivers.     

Drinking patterns and drunk-driving behaviour in Catalonia,Spain: A comparative study

This study explores three alcohol-related databases so as to provide a comprehensive understanding of drinking patterns and the prevalence of alcohol-impaired driving in Catalonia (Spain). The rate of alcohol-impaired drivers is compared with the percentage of drinkers in this population, with a particular focus on heavy episodic drinkers. Two strategies adopted by law enforcement agents when conducting alcohol breath tests are examined: (i) non-random and (ii) random approaches to roadblock location and driver selection. We find that heavy drinker profiles (in terms of age and gender) closely match those of alcohol-impaired drivers detected at strategically located, non-random sobriety checkpoints (especially in the case of female drivers), and that they also correlate with the age-gender distribution of drivers involved in road accidents with victims. Different drink driving patterns are detected when sobriety checkpoints are located randomly and drivers are tested at random. Older drivers are identified as a risk group as they abandon the safer driving habits in relation to alcohol shown when they were middle-aged. A combination of non-random and random controls would increase driver perception of their chances of being detected when drink driving. As such, the whole population, regardless of their drinking profile, would be alerted to the serious personal, social and legal implications of alcohol-impaired driving.