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.     

Perceived Physical Attractiveness, Sexual History, and Sexual Intentions: An Internet Study

This study was designed to examine the influence a potential date’s physical attractiveness and sexual history has on an individual’s intentions to engage in safer sex. Over 1,200 participants completed an Internet survey. The questionnaire presented a randomized biography and photograph and asked participants to rate their interest in dating and having a sexual relationship with the target. Participants were randomly assigned to one of six conditions based on the target’s physical attractiveness (low vs. high) and sexual experience (low, medium, or high). Results indicated that men reported greater intentions to have sex than women did, and all participants reported greater likelihood of having sex when the potential partner was highly attractive. Participants rated men and more experienced targets as more risky sexual partners, and the level of a target’s sexual experience was directly related to participants’ willingness to discuss sexual risks. Results indicate a continuing need to include discussion of cognitive factors in all HIV prevention efforts.     

Measuring organisational climate and employee engagement: Evidence for a 7 Ps model of work practices and outcomes

This study presents evidence supporting the psychometric properties of the Voice Climate Survey: an employee opinion survey that measures work practices and outcomes. The tool is tested across 13,729 employees from 1,279 business units representing approximately 1,000 organisations. Exploratory factor analyses, confirmatory factor analyses and internal reliability analyses support 31 lower‐order work practices and outcomes that aggregate into seven higher‐order work systems broadly covering practices and outcomes such as organisational direction, ethics, resources, involvement, recognition, development, teamwork, wellness, work/life balance, change management, customer satisfaction, job satisfaction, organisational commitment and employees' intention to stay. External validation of the tool is demonstrated by linking scores from the employee survey with independent manager reports of turnover, absenteeism, productivity, health and safety, goal attainment, financial performance, change management, innovation and customer satisfaction.     

传统家训消费伦理观的现代审思

传统家训消费伦理是中国古代社会特定的政治经济文化因素综合作用的产物。在古代社会它曾对提升人们的道德水平、调节社会经济生活中的矛盾、稳定家庭和社会的秩序起过积极的作用。在现代社会,它对于推动中国特色市场经济的建设及和谐社会的建构,对于既有民族特色、又具时代意义的现代消费伦理观的建构,具有重要的启示意义。     

利用网络进行心理学研究:西方与中国概况

基于网络的心理学研究(简称网基研究)即用网络进行的心理学研究,包括非反应性网基研究、网基调查、网基心理测验以及网基实验四种类型,具有样本大并且多样、外部/生态效度较高等优点,但同时也面临实验控制不足、自我选择、中途退出等问题。本文对网基研究的历史、类型、优缺点及发展状况等相关内容进行了阐述,并特别对我国的网基研究历史、现状和发展进行了简要介绍。     

Participants' perceptions of smartphone travel surveys

Smartphone travel surveys are becoming of central importance in collecting detailed, accurate data of people’s travel activities. As with their conventional survey counterparts, the quality of data collected through these surveys is adversely affected by participants’ non-response and resulting biases. However, little is known about the factors affecting people’s perceptions and intentions to continue participating in such surveys. Although literature has investigated the associations between individuals’ socio-demographic attributes and their likelihood of survey participation, the impact of their subjective perceptions and attitudes on their survey participation intentions and behaviour is underexplored. Hence, through a model of participants’ perceptions of smartphone travel survey applications (survey apps), this study aims to reveal such impacts and how they affect the participants’ intentions to continue participating in these surveys. In this study, a survey is designed and used to collect data in a smartphone travel survey before the participants are asked about their personal perceptions and attitudes. Partial least squares path modelling (PLS-PM) is applied to analyse the data, as it allows simultaneous estimation of the relationships between multiple latent constructs as well as the indicators of each construct. The results showed a significant, positive impact of the perceived “ease of use” and “usefulness” of the survey app as the technological medium of data collection on the participants’ “satisfaction” and “intention” to continue participating in the corresponding survey. The study also found that participants’ perceived “risk” associated with privacy concerns did not have any significant impact on their intention to continue participating in the survey.     

Prevalence and correlates of ICD-11 adjustment disorder: Findings from the Zurich Adjustment Disorder Study

Background/Objective: The 11th revision of the International Classification of Diseases (ICD-11) will provide a new definition of adjustment disorder (AjD). The aim of the present study is to report on prevalence and correlates of ICD-11 AjD in a high-risk sample. Method: Three hundred thirty persons who had lost their job involuntarily were sampled by local job centres. The Munich Composite International Diagnostic Interview was administered with a new AjD module. Associations between AjD and correlates were investigated with logistic regression analyses. Results: 27.3% of the participants reported the AjD core symptom pattern. 13.8% men and 17.2% women met diagnostic guidelines of ICD-11 AjD. Prevalence increased with age and exposure to multiple stressors. The AjD core symptom pattern was associated with various sociodemographic correlates (e. g., lower financial household budget), whereas the full ICD-11 diagnosis including the exclusion algorithm was not. Regarding work-related factors, AjD occurred with a lower probability if the last job position had higher responsibilities and more general confidence for the future. Conclusions: ICD-11 AjD has a high prevalence among persons who lost their jobs involuntarily. Healthcare professionals should be aware of this problem. Research to investigate the ICD-11 AjD concept in the general populations and other subpopulations is needed.