The causes of crashes on urban expressways are mostly related to the unsafe behaviors drivers before crash. This study focuses sideswipe collisions expressways. Through real and visual crash data, 17 were identified for analysis an expressway. chains high-risk then revealed investigate relationship between drivers’ collisions. A Bayesian network diagram was used obtain correlation their influen...

Preventive interventions to reduce occupational injuries and diseases among farmers require an appraisal of the relative importance of the various risk factors. This paper describes the results of a cross-sectional study investigating determinants of occupational health and injuries among 510 Belgian farmers, looking at health-related behaviors (machinery use, animal handling, fall prevention, ...

OBJECTIVES The aim of this study was to assess the relationship between occupational cognitive failures (OCFs) and unsafe behaviors, accidents and driving offences among municipal bus drivers in Tehran, Iran. METHODS Systematic random sampling was used to select 190 drivers from 3 transport and traffic Tehran districts. Data were collected with the occupational cognitive failure questionnaire...

Despite rapid technological advances in computer hardware and software, insecure behavior by individual computer users continues to be a significant source of direct cost and productivity loss. Why do individuals, many of whom are aware of the possible grave consequences of low-level insecure behaviors such as failure to backup work and disclosing passwords, continue to engage in unsafe computi...

background adolescence and youth are life-threatening stages of development when a range of unsafe behaviors can harmfully affect a person’s health and their social and educational performance. objectives the present study aimed to determine the incidence and prevalence of high-risk behaviors related to intentional and unintentional harm in adolescents of zahedan (iran). patients and methods th...

This study aims to establish the prevalence of risky health behaviors among Thai youth and to characterize the prevalence of these behaviors by gender, age group, educational status, and region. We analyzed data from a population-based, nationally representative, cross-sectional survey of 938 youth aged between 13 and 24 years, sampled from Bangkok and 4 regions of Thailand. The 2011 Youth Risk...