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This study investigates the role of online social connectedness as a buffer against depression in older adults who cease driving. A survey of 108 over-65 year olds (M = 73.7, SD = 7.37) was conducted. Measures included online and offline social connectedness; depression; online activities; and general health. The online activities in which older adults most frequently engaged were communicating with family and friends, reading the news, and banking. Face-to-face social connectedness was by far the strongest predictor of depression. However, online social connectedness did significantly moderate the effects of driving cessation on depression. The results suggest that online social connectedness can help protect older people from depressive symptoms following driving cessation.

Objective: Driver sleepiness is a major crash risk factor but may be underrecognized as a risky driving behavior. Sleepy driving is usually rated as less of a road safety issue than more well-known risky driving behaviors, such as drink driving and speeding. The objective of this study was to compare perception of crash risk of sleepy driving, drink driving, and speeding., Methods: Three hundred Australian drivers completed a questionnaire that assessed crash risk perceptions for sleepy driving, drink driving, and speeding. Additionally, the participants' perceptions of crash risk were assessed for 5 different contextual scenarios that included different levels of sleepiness (low, high), driving duration (short, long), and time of day/circadian influences (afternoon, nighttime) of driving., Results: The analysis confirmed that sleepy driving was considered a risky driving behavior but not as risky as high levels of speeding (P < .05). Yet, the risk of crashing at 4 a.m. was considered as equally risky as low levels of speeding (10 km over the limit). The comparisons of the contextual scenarios revealed driving scenarios that would arguably be perceived as quite risky because time of day/circadian influences were not reported as high risk., Conclusions: The results suggest a lack of awareness or appreciation of circadian rhythm functioning, particularly the descending phase of circadian rhythm that promotes increased sleepiness in the afternoon and during the early hours of the morning. Yet, the results suggested an appreciation of the danger associated with long-distance driving and driver sleepiness. Further efforts are required to improve the community's awareness of the impairing effects from sleepiness and, in particular, knowledge regarding the human circadian rhythm and the increased sleep propensity during the circadian nadir.

Driver sleepiness is a major contributor to road crashes. The current study sought to examine the association between perceptions of effectiveness of six sleepiness countermeasures and their relationship with self-reports of continuing to drive while sleepy among 309 drivers after controlling for the influence of age, sex, motivation for driving sleepy, and risk perception of sleepy driving. The results demonstrate that the variables of age, sex, motivation, and risk perception were significantly associated with self-reports of continuing to drive while sleepy and only one countermeasure was associated with self-reports of continuing to drive while sleepy. Further, it was found that age differences in self-reports of continuing to drive while sleepy was mediated by participants' motivation and risk perception. These findings highlight modifiable factors that could be focused on with interventions that seek to modify drivers' attitudes and behaviours of driving while sleepy., (Copyright © 2014 Elsevier Ltd. All rights reserved.)

The present study aimed to gather information on drug and alcohol use, the prevalence of drink and drug driving and attitudes to both in an undergraduate university cohort (n = 275). Further, the study aimed to contribute information to aid intervention program development by determining predictors of drink and drug driving behavior. The study examines both drug and alcohol use and the influence of attitudes toward driving while under the influence of alcohol and/or drugs. Results indicated that significant proportions of university students are engaging in the risk-taking behavior of driving under the influence of drugs (25%), alcohol (14%), or both (8%). The results suggest that attitudes toward driving under the influence of alcohol and/or drugs are a strong predictor of engaging in the behavior. Peer influence emerged as a major aspect of attitudes. The results of this study provide an important beginning to understanding drink and drug driving and the influence of attitudes in the university student body.