Project description:This study describes road traffic injuries among school-aged children in Guangzhou, China, and examines the effect of road safety knowledge and risk behaviours on road traffic injuries.A stratified cluster sample of 3747 children from six primary schools and six middle schools in Guangzhou, China, was surveyed. Data were collected on sociodemographic factors and road traffic injuries during the past year. Knowledge about road safety rules was assessed using a 14-item road safety knowledge index, and risky road safety behaviours were measured using a 25-item road safety behaviour index.A total of 403 (10.8%) students reported having at least one road traffic injury during the past 12 months. A high proportion of injuries was found among children who were boys, in primary school and from the suburbs. Bicycle-related injuries were the most common (46.0% of all injuries). Motor vehicle-related injuries had higher hospitalisation rates and worse psychological impact than bicycle or pedestrian injuries. Children with low and medium road safety knowledge had 1.5 to 3 times the odds of injury compared with students with high road safety knowledge. Students with high scores on the risky road behaviour index had twice the odds of injury (OR 2.04, 95% CI 1.47 to 2.84) compared with students with low scores.Better road safety knowledge and the avoidance of walking or cycling-related risk behaviours are protective factors for road traffic injuries among Chinese school children. More injury prevention programmes are needed to improve road safety knowledge and reduce risk behaviours.
Project description:This paper aims to demonstrate nonlinear risk factor interactions based on a data-driven approach using a Bayesian network model, providing a road safety use case. Road safety is a critical issue worldwide, with approximately 1.3 million road traffic deaths each year (WHO). Traditional road safety risk assessment methods often analyze individual factors separately; however, these assessments fail to capture the complex dynamics of real-world analysis, in which multiple factors interact through nonlinear relationships. In this study, a novel road safety risk assessment approach that uses a Bayesian network model to explore the nonlinear relationships among road safety risk factors is developed. Through the analysis of extensive crash reports from the state of Maryland, the complex interdependencies among various risk factors and their cumulative impact on road safety are investigated. Our findings show that two combined risk factors have different effects on risk level when considered individually. Two case studies related to human state risk factors and environmental risk factors, such as driving under the influence and snowy roads, as well as fatigue and snowy roads, have an amplified effect on the risk level. The findings highlight the importance of considering nonlinear interactions among risk factors when developing effective and targeted strategies for accident prevention and road safety improvement. This research contributes to the field of road safety by presenting a new methodology for understanding and mitigating road safety hazards.
Project description:Background. Many theories assert that high perceived risk motivates health behavior change; the empirical literature shows mixed findings. Purpose. To determine whether, for whom, and under what circumstances specifying a future behavior when assessing perceived risk (i.e., "conditioning" risk perception items on behavior) improves data quality and strengthens the perceived risk-intentions/behavior relationship. Methods. Internet panel participants (N = 787, 58.8% no college experience, 44.4% racial/ethnic minority, 43.7% men, 67.3% aged 18-49 years, 59.0% nonadherent to physical activity guidelines) answered 8 colon cancer perceived risk items in a within-subjects design. Participants answered 4 types of risk perception items: absolute and comparative perceived likelihood and absolute and comparative feelings of risk. Participants answered each type of item twice: once conditioned on not engaging in physical activity and once unconditioned. Results. Compared to unconditioned items, conditioned items elicited fewer "don't know" (DK) responses (OR = 0.80; 95% CI, 0.68-0.93), higher risk perceptions (b = 0.55; 95% CI, 0.49-0.61) and stronger positive correlations with intentions (zSteiger = 5.46, P < 0.001) and behavior (zSteiger = 5.10, P < 0.001). The effect of conditioning was more pronounced for perceived likelihood than feelings of risk items (OR = 2.21; 95% CI, 1.63-3.01 and b = 0.14; 95% CI, 0.08-0.20 for DK responding and risk perception magnitude, respectively). The effect on risk perception magnitude (except absolute feelings of risk) was higher among people with higher health literacy (χ2(3) = 8.11, P = 0.04). Conclusions. Researchers who examine whether perceived risk motivates precautionary behavior should consider conditioning risk perception items on behavior to increase the validity of the statistical conclusions they draw and to gain insight into the nature of perceived risk and its relation to behavior.
Project description:ObjectiveTo assess road safety and its predictors in drivers with Parkinson disease (PD).MethodsLicensed, active drivers with PD (n = 84; age = 67.3 +/- 7.8, median Hoehn & Yahr stage II) and controls (n = 182; age = 67.6 +/- 7.5) underwent cognitive, visual, and motor tests, and drove a standardized route in urban and rural settings in an instrumented vehicle. Safety errors were judged and documented by a driving expert based on video data review.ResultsDrivers with PD committed more total safety errors compared to controls (41.6 +/- 14.6 vs 32.9 +/- 12.3, p < 0.0001); 77.4% of drivers with PD committed more errors than the median total error count of the controls (medians: PD = 39.5, controls = 31.0). Lane violations were the most common error category in both groups. Group differences in some error categories became insignificant after results were adjusted for demographics and familiarity with the local driving environment. The PD group performed worse on tests of motor, cognitive, and visual abilities. Within the PD group, older age and worse performances on tests of visual acuity, contrast sensitivity, attention, visuospatial abilities, visual memory, and general cognition predicted error counts. Measures of visual processing speed and attention and far visual acuity were jointly predictive of error counts in a multivariate model.ConclusionsOverall, drivers with Parkinson disease (PD) had poorer road safety compared to controls, but there was considerable variability among the drivers with PD, and some performed normally. Familiarity with the driving environment was a mitigating factor against unsafe driving in PD. Impairments in visual perception and cognition were associated with road safety errors in drivers with PD.
Project description:The World Health Organization estimates that each year, 1.3 million people are killed and more than 50 million people worldwide are injured in road traffic accidents. According to a study conducted by the Allianz Center for Technology, more young people between the ages of 15 and 29 die in traffic accidents than as a result of illness, drugs, suicide, violence, or war events worldwide. That is about 400,000 per year, globally. Worldwide traffic accident prevention campaigns demonstrate the consequences of traffic accidents in an emotionalizing way in order to encourage drivers to adopt conscious safety behavior via adequate driving behavior. The consequences of traffic accidents are demonstrated by prevention campaigns often in an emotionalizing way to encourage drivers to adopt safety measurements through adequate driving behavior. Prior research suggests that the emotionalizing effect of the appeals must be accompanied by solution- as well as action-oriented and self-confidence-increasing measures, so that the instructive message is reinforced and does not lead to reactance. Thus, a strong need arose in the schools for a targeted training as the follow-up of emotional prevention campaigns. A suitable training for knowledge acquisition and knowledge transfer into everyday life was developed by means of the design-based research method. To create the targeted follow-up, various methods from cognitive behavioral therapy and common traffic safety programs were adapted. This publication is dedicated to a first explorative research approach in a non-standardized form of a social training. It approaches the question of negative emotional states immediately after a Crash Kurs NRW stage event, which is a prevention program in Germany that targets upper middle school and high school courses and originates from North Rhine-Westphalia. Changes in social behavior and development of participants' own norms, values, and attitudes were observed and documented and are discussed and presented in this article. The result of the survey confirmed prior research and showed visible effects of reactance after the Crash Curs NRW campaign. It was found that a structured follow-up training is suitable to gain reactive behavior from the stage event. Knowledge deficits about the cause and outcome of accidents were successfully addressed in the follow-up. This may have influence the reactance behavior and could be a key factor for successful prevention campaigns. Further publications will observe the connection between knowledge and reactance in subsequent iterative passes of modified follow-ups for the Crash Course NRW Campaign.
Project description:The Belt and Road Initiative (BRI) can play a significant role in the sustainable development of South Asia if appropriately implemented. Apart from the economic, trade, and cultural benefits of this colossal infrastructure, less is known about its environmental impact on South Asia. This study looks closely at the potential impact of the BRI on the South Asian environment. This research is based on the government-issued environmental policies, peer-reviewed literature, media articles, and reports. It has been suggested that the BRI could have a negative impact on the South Asian environment, which provided if does not consider the Paris agreement with its partners in the region. The study suggests that partner countries should adopt the BRI project to the principles of environmental impact assessment.
Project description:PURPOSE:Through the study of economic, traffic and population data related to road traffic accidents from 2004 to 2016, this paper analyzed the impact of various factors on road traffic casualties in China, and provided theoretical basis and suggestions for the road traffic safety management in China. METHODS:Based on three aspects (economy, road, population) with five factors (gross domestic product (GDP), traffic investment, new vehicle ownership, new road mileage and newly increased population), this paper collected the relevant data of road traffic accidents in 31 provinces and cities in China, from 2004 to 2016. A panel model was established to carry out empirical analysis. RESULTS:All factors have a significant impact on the number of road traffic accident casualties. When other factors remain unchanged, the number of road traffic casualties decreased by an average of 0.19 for every 100 million CNY increased in GDP. For every 100 million CNY increased in traffic investment, the number of road traffic casualties is reduced by an average of 13.93, indicating that economic development can improve road traffic safety to a certain extent. On the contrary, the growth in road mileage, new motor vehicles and population has increased the number of road traffic casualties. For every 10, 000 km of new road mileage, the number of traffic accident casualties has increased by 284.04. For every 10,000 newborns, the number of road traffic casualties increased by 7.33; as the number of new motor vehicles increases by 10,000, the number of road traffic casualties increased by an average of 21.77. CONCLUSION:The increase of GDP and traffic investment can significantly reduce the number of road traffic casualties in China, which shows that economic development is essential to improve road traffic safety. The numbers of new road mileage, newly increased population and the new motor vehicles are positively correlated with the number of traffic accident casualties in traffic accidents, which reflects the existing problems in road design, distribution of road resources, and traffic management in China. Therefore, it is necessary to improve the economic and road related aspects to improve road traffic safety.
Project description:The essential mineral magnesium is involved in numerous physiological processes. Recommended dietary intake is often not met and a low magnesium status increases the risk for various diseases. Magnesium status is regulated by several magnesium transport systems either in cellular or paracellular pathways. Numerous drugs either interfere with magnesium absorption in the intestines or the reabsorption from primary urine in the kidney. Low magnesium status has been identified as a significant risk factor for several diseases, including type-2 diabetes, cardiovascular diseases, arrhythmias, as well as general muscular and neurological problems. Therefore, an adequate magnesium supply would be of special benefit to our overall health.
Project description:Background/Objectives: Life expectancies have increased in most countries, leading to a higher accident rate among older drivers than their younger counterparts. While numerous studies have analyzed the decline in cognitive abilities and physical limitations as contributing factors, there are other considerations. For instance, younger male drivers tend to take more risks than younger female drivers. However, there is a lack of research and evidence regarding the role of gender in risk-taking among individuals over 65. Given this gap, our current study aims to investigate the relationship between gender and risk propensity in this particular age group. The primary goal was to determine if driving experience affects the gender gap in risk attitude; Methods: We studied risk behavior in both car drivers and pedestrians. Our sample included 200 individuals (101 women), all over 65, with the same weekly driving times. After a brief demographic and anamnestic interview, they completed the Driver Road Risk Perception Scale (DRPS) and the Pedestrian Behavior Appropriateness Perception Scale (PBAS) questionnaires. They also provided information about traffic violations and road crashes; Results: Our research revealed that older male drivers continue to tend to risky behavior, highlighting the need for targeted interventions to improve risk awareness, especially among older men; Conclusions: Our findings suggest that road safety messages should specifically target male drivers as they are less likely to view responsible driving actions, such as observing speed limits, as desirable.