Walking is the cornerstone of active and sustainable transport. However, traffic safety concerns among pedestrians could reduce walking behaviour. Safety concerns are generally measured through risk perceptions. Unfortunately, a lack of theoretical development of risk perceptions in walking behaviour research has limited our capacity to identify groups of pedestrians who are inequitably affected and address their concerns. To address this gap, the present investigation identified various theory-driven risk dimensions (i.e., mechanism of injury, temporal risk dimensions, and information processing). Logistic and hierarchical linear regression analyses were used to investigate the effect of the risk dimensions on walking behaviour while considering psychosocial factors (e.g., attitudes and social norms). The findings suggest that policymakers and practitioners should consider both objective and perceived pedestrian safety to promote sustainable mobility. Older adults require particular attention as they are inequitably affected by objective and subjective risks.@en

ChatGPT is a highly advanced AI language model that has gained widespread popularity. It is trained to understand and generate human language and is used in various applications, including automated customer service, chatbots, and content generation. While it has the potential to offer many benefits, there are also concerns about its potential for misuse, particularly in relation to providing inappropriate or harmful safety-related information. To explore ChatGPT's (specifically version 3.5) capabilities in providing safety-related advice, a multidisciplinary consortium of experts was formed to analyse nine cases across different safety domains: using mobile phones while driving, supervising children around water, crowd management guidelines, precautions to prevent falls in older people, air pollution when exercising, intervening when a colleague is distressed, managing job demands to prevent burnout, protecting personal data in fitness apps, and fatigue when operating heavy machinery. The experts concluded that there is potential for significant risks when using ChatGPT as a source of information and advice for safety-related issues. ChatGPT provided incorrect or potentially harmful statements and emphasised individual responsibility, potentially leading to ecological fallacy. The study highlights the need for caution when using ChatGPT for safety-related information and expert verification, as well as the need for ethical considerations and safeguards to ensure users understand the limitations and receive appropriate advice, especially in low- and middle-income countries. The results of this investigation serve as a reminder that while AI technology continues to advance, caution must be exercised to ensure that its applications do not pose a threat to public safety.@en

Driving is a complex task that requires both the ability to rapidly identify potential hazards and respond appropriately to driving situations to avoid crashing. A great deal of research has sought to increase road safety by focusing on risky behaviours, very few of which have explored the effects of chronic pain (CP) on driving behaviour. This systematic review aimed to assess driving behaviour and motor vehicle crash risk in drivers with CP. Four databases (Embase, PubMed, Scopus, and PsycINFO) were searched using relevant search terms. From 8543 studies, 22 studies met the eligibility criteria for inclusion in this review. A driving behaviour framework, based on the Michon model of driving behaviour, is proposed to map the effect of CP on driving behaviour. Findings suggest that drivers with CP engage in risk-compensatory strategies that are positive from a precautionary perspective. However, there is considerable variability in the use of such strategies across different samples, suggesting that there are significant barriers and facilitators involved in these decisions. Moreover, our findings provide some evidence that CP could increase crash risk and change driving behaviour. Evidence-based recommendations for practitioners and policymakers are proposed regarding the risks of driving in individuals experiencing CP. Future research into CP in driving could benefit from having a unified evidence-based approach to determine behaviour at all levels of the driving task.@en

Objective: Evaluate injury patterns from wheeled recreational devices (WRD) in the public space and explore risk factors for hospital admission. Method: A cross-sectional analysis of WRD injury prevalence and risk factors for hospital admissions was conducted using data from the Queensland Injury Surveillance Unit (QISU) database for 2007 to 2017. Descriptive statistics and a log-binomial regression model were used to calculate adjusted relative risk for hospital admission. Results: Most WRD injury in the public space was related to stand-alone WRD injury events such as falls, with few reported WRD users being hit by vehicles from 2007 to 2017. Stand-alone WRD injury events had a higher independent risk of hospital admissions when injured in the head/neck/face (RR 2.08, 95%CI 1.6 to 2.8, p<0.001), and when the injury was a fracture (RR 2.57, 95%CI 2.1 to 3.3, p<0.001) or a brain injury (RR 3.19, 95%CI 2.5 to 4.1, p<0.001). Conclusion: Head, brain and facial injuries and fractures are leading preventable factors for hospital admissions due to WRD injury. These types of injuries generate a preventable burden to the health system. Implications for public health: The results support the need to consider legislation regarding mandatory helmet use for non-motorised WRD when used on public roads and footpaths, while further research is conducted. This strategy could reduce the long-term health outcomes associated with head, face and brain injury in young commuters.@en

Alcohol is a global risk factor for road trauma. Although drink driving has received most of the scholarly attention, there is growing evidence of the risks of alcohol-impaired walking. Alcohol-impaired pedestrians are over-represented in fatal crashes compared to non-impaired pedestrians. Additionally, empirical evidence shows that alcohol intoxication impairs road-crossing judgements. Besides some limited early research, much is unknown about the global prevalence and determinants of alcohol-impaired walking. Understanding alcohol-impaired walking will support health promotion initiatives and injury prevention. The present investigation has three aims: (1) compare the prevalence of alcohol-impaired walking across countries; (2) identify international groups of pedestrians based on psychosocial factors (i.e., Theory of Planned Behaviour (TPB) and perceptions of risk); and (3) investigate how segments of pedestrians form their intention for alcohol-impaired walking using the extended TPB (i.e. subjective norm, attitudes, perceived control, and perceived risk). A cross-sectional design was applied. The target behaviour question was “have you been a pedestrian when your thinking or physical ability (balance/strength) is affected by alcohol?” to ensure comparability across countries. Cluster analysis based on the extended TPB was used to identify groups of countries. Finally, regressions were used to predict pedestrians’ intentions per group. A total of 6,166 respondents (Age M(SD) = 29.4 (14.2); Males = 39.2%) completed the questionnaire, ranging from 12.6% from Russia to 2.2% from Finland. The proportion of participants who reported never engaging in alcohol-impaired walking in the last three months ranged from 30.1% (Spain) to 83.1% (Turkey). Four groups of countries were identified: group-1 (Czech Republic, Spain, and Australia), group-2 (Russia and Finland), group-3 (Japan), and group-4 (final ten countries including Colombia, China, and Romania). Pedestrian intentions to engage in alcohol- impaired walking are predicted by perceptions of risk and TPB-psychosocial factors in group-1 and group-4. Favourable TPB-beliefs and low perceived risk increased alcohol-impaired walking intentions. Conversely, subjective norms were not significant in group-2 and only perceived risk predicted intention in group-3. The willingness of pedestrians to walk when alcohol-impaired differs significantly across the countries in this study. Perceived risk was the only common predictor among the 16 countries.@en

This systematic review sought to assess older adult pedestrian injury severity, injury by anatomical location and incidence proportions, including comparisons to younger age groups when available and provide an analysis of the quality of the existing evidence. A structured search was conducted in PubMed, Embase, Scopus, CINAHL, PsycInfo, AMED, Web of Science, LILACS and TRID. STROBE was used to assess the reporting quality of the included studies. Random-effect model meta-analysis served to obtain pooled relative risk, incidence proportions and standardized mean differences for different outcomes due to pedestrian crashes comparing older and younger pedestrians, while meta-analyses could not be conducted for pedestrian falls. We screened 7460 records of which 60 studies (1,012,041 pedestrians) were included in the review. Injured pedestrians 60+ compared to those <60 were found to have a higher relative risk of severe injury (pooled relative risk RR 1.6, 95 % CI: 1.4–2.0 p < 0.001), critical care admission (pooled RR 1.5, 95 %CI: 1.3–1.8 p < 0.001), and fatality (pooled RR of 3.7, 95 % CI: 3.0–4.5 p < 0.001). Pedestrians 60+ also had higher incidence rates of pedestrian falls causing higher injury severity. GRADE was used to evaluate evidence quality, with the results suggesting that the overall quality of the evidence supporting these findings was low. Further research is needed to understand health risks associated with older pedestrian trauma and to develop effective risk management strategies.@en

Introduction: Walking is a healthy, environmentally sustainable, and economically profitable transportation strategy for citizens and governments. Despite these benefits, it is also important to understand, and to inform health professionals, policymakers, and public infrastructure planners about, the preventable injury potential of walking in the transportation system and the distribution of injury by gender and age. This is especially important for non-vehicle pedestrian trauma, given that is more prevalent and there is less information available about its injury outcomes in comparison to pedestrian injury caused by vehicle collisions. Method: A retrospective cohort study, and cross-sectional bivariate and multivariate analyses of non-vehicle pedestrian trauma in the traffic environment (NVPTE) were conducted. Relative risks (RR) of the incidence of injury and prevalence of injury outcomes by age and gender were calculated using data collected by the Queensland Injury Surveillance Unit (QISU) in Australia. Results: Pedestrians aged 60+ have a consistently higher risk of NVPTE incidence when compared with pedestrians aged <60. Older pedestrians have a higher risk of injury to the pelvis (RR 10.3 95% CI 3.81–27.5 p < 0.0001) and hip (RR 5.59 95% CI 3.53–8.85 p < 0.0001), and an adjusted higher risk of hospital admission (RR 1.5 95% CI 1.30–1.64 p < 0.0001). Pedestrian males <60 had more injuries to the head, sprains, strains and open wounds compared with females <60, while those aged 60+ had lower risk of fractures and higher risk of hospital admission. Conclusion: Promoting walking for transport requires the incorporation of prevention strategies that consider key differences in injury outcomes. Clinical fall risk assessments and protective pedestrian infrastructure could play an important role in reducing the health and economic burden of pedestrian falls to the health system.@en

The World Health Organization has emphasized that one of the most important questions to address regarding the covid-19 pandemic is to understand risk factors for disease severity. We conducted a brief review that synthesizes the available evidence and provides a judgment on the consistency of the association between risk factors and a composite end-point of severe-fatal covid-19. Additionally, we also conducted a comparability analysis of risk factors across 17 studies. We found evidence supporting a total of 60 predictors for disease severity, of which seven were deemed of high consistency, 40 of medium and 13 of low. Among the factors with high consistency of association, we found age, C-reactive protein, D-dimer, albumin, body temperature, SOFA score and diabetes. The results suggest that diabetes might be the most consistent comorbidity predicting disease severity and that future research should carefully consider the comparability of reporting cases, factors, and outcomes along the different stages of the natural history of covid-19.@en