International Journal of Injury Control and Safety Promotion最新文献

{"title":"Socioeconomic disparities in road crashes: analysis of the influence of neighbourhood deprivation on crash severity and frequency.","authors":"Mehrdad Rafiepourgatabi, Kim Natasha Dirks","doi":"10.1080/17457300.2025.2592197","DOIUrl":"10.1080/17457300.2025.2592197","url":null,"abstract":"<p><p>Road traffic accidents (RTAs) impose substantial human, social and economic burdens. This study analysed 78,987 police-reported crashes that occurred in Auckland, New Zealand between 2015 and 2024 to examine how neighbourhood-level socioeconomic deprivation influences crash frequency and severity. Crash outcomes (fatal, serious, minor and non-injury) were assessed in relation to the IMD18, a composite index of deprivation across seven domains (Housing, Access, Crime, Health, Education, Income and Employment). Using regression analyses, strong associations between deprivation and crash frequency were found, with the Housing and Access domains being the most significant predictors of crash rates and related social costs (<i>R</i>² > 0.80). This reflects both environmental and systemic conditions - such as inadequate infrastructure, poor transport access and reliance on older vehicles. By linking deprivation domains to crash data, this study highlights the importance of targeted interventions to help reduce road traffic rates and their economic impact in the most affected areas.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"106-118"},"PeriodicalIF":2.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145649616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Community-level infrastructure risk factors for motor vehicle injuries of car occupants and pedestrians: results from the PURE study.","authors":"Shrikant I Bangdiwala, Scott Lear, Bo Hu, Chinthanie Ramasundarahettige, Khalid F Alhabib, Cristian Ricci, Rosnah Ismail, Katarzyna Połtyn-Zaradna, Rita Yusuf, Ravi Prasad Varma, Hassan Mir, Annika Rosengren, Jephat Chifamba, P V M Lakhsmi, Alvaro Avezum, Indu Mohan, Ahmad Bahonar, Romaina Iqbal, Mukhtar Kulimbet, Sumathy Rangarajan, Jose Patricio Lopez Jaramillo, Maria Luz Diaz, Rasha Khatib, Pamela Seron, K Burcu Tumerdem Calik, Karen Yeats, Minghai Yan, Yingxuan Zhu, Salim Yusuf","doi":"10.1080/17457300.2025.2578794","DOIUrl":"10.1080/17457300.2025.2578794","url":null,"abstract":"<p><p>Disproportionately more of the world's fatalities and injuries on the roads occur in low- and middle-income countries, despite these countries having approximately only 60% of the world's vehicles. Injury rates due to motor-vehicles are related to a complex multidimensional array of risk factors, embedded in the social and economic infrastructure of a country or region. Whether environmental infrastructure factors differ in determining the risk of an injury for motor vehicle occupants compared to pedestrians and other vulnerable road users has not been extensively studied. We explored the role of environmental infrastructure factors on motor-vehicle-related non-fatal injury using the Prospective Urban and Rural Epidemiology (PURE) cohort study of 162,793 adults from 23 high-, middle- and low-income countries. As expected, low-income countries had slightly higher motor vehicle injury rates, with pedestrians tending to have higher injury rates in these countries. There was considerable variation in motor vehicle injury rates within country-income-categories, while there were similarities in motor vehicle injury rates despite large differences in motorization of countries. There was a meaningful community effect on motor vehicle injury rates. We found that community-level infrastructure risk factors for motor vehicle injuries differed for car occupants and for pedestrians, with road quality and alcohol use being the main factors associated with an injury for car occupants, while poor roadside infrastructure (streetlights, sidewalks) and alcohol use were the main risk factors for an injury as a pedestrian.</p><p><p>Active transport, such as walking and bicycling, are being promoted as leading to healthy lifestyle habits and reduced pollution. These require improved walkability for pedestrians, but also separation from motorized vehicles, which leads to recommending that low-and middle-income countries devote more funds for roadway quality and streetlight infrastructure. Policies to reduce motor vehicle injuries should be supported at the national level, but should be specific at the community level, since they must be focused on the specific local infrastructure. Countermeasures for reducing road transport injuries for pedestrians have different risk factors than for reducing injuries for car occupants.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"82-90"},"PeriodicalIF":2.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145472100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dissecting pedestrian behaviour in Ghana: a cluster-based analysis of safety and risk profiles.","authors":"Eugene Sogbe, Susilawati Susilawati","doi":"10.1080/17457300.2025.2551560","DOIUrl":"10.1080/17457300.2025.2551560","url":null,"abstract":"<p><p>Pedestrian fatalities remain a significant global concern, particularly in low- and middle-income countries, where road safety measures are often lacking. In urban areas across Africa, pedestrian safety is especially critical, yet research into pedestrian behaviour in these settings is limited. This gap is addressed by applying cluster analysis to explore the role of socio-demographic factors, such as gender and education, in shaping pedestrian safety and risk perceptions. Using the Pedestrian Behaviour Scale, we identified four distinct clusters: Cluster 1, the highest-risk group, exhibited high levels of irresponsibility, recklessness, and aggressive behaviours, particularly among males. Cluster 4 represented law-abiding pedestrians with high compliance with traffic regulations. To examine the influence of socio-demographic factors, we conducted independent sample <i>t</i>-tests and Analysis of Variance, revealing significant variations in violation and error scores across demographic groups. Valuable insights are provided for urban planners and policymakers, offering data-driven recommendations to improve pedestrian safety in rapidly urbanising regions. By filling a critical gap in pedestrian safety research, it lays the groundwork for more effective interventions to reduce pedestrian fatalities and promote safer road environments in developing countries.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"3-17"},"PeriodicalIF":2.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Key factors in electrical safety within utility industries: a structural hierarchical approach.","authors":"Beena Puthillath, Bhasi M, Babu C A","doi":"10.1080/17457300.2025.2565174","DOIUrl":"10.1080/17457300.2025.2565174","url":null,"abstract":"<p><p>Human factors play a vital role in the energy industry and often lead to fatal and non-fatal accidents. Therefore, understanding the underlying reasons behind poor safety climate and safety culture is crucial. This study employs a questionnaire method, considering 8 items of safety culture and 57 items of safety climate. Structural equation modeling was conducted and validated using model fit indices. Results indicate that 4 items of safety culture and 26 items of safety climate contribute to safety issues in the utility sector. The weights of each item under safety culture and safety climate provide insights into which factors and items require attention to reduce safety issues. These findings assist managers, supervisors, policymakers and government bodies in implementing necessary measures to mitigate accidents.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"570-579"},"PeriodicalIF":2.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145187296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"HAZOP for safety culture: a novel safety culture index.","authors":"Sinjana Choudhuri, O Bala Krishna, J Maiti","doi":"10.1080/17457300.2025.2533199","DOIUrl":"10.1080/17457300.2025.2533199","url":null,"abstract":"<p><p>Safety culture, defined as the shared values, attitudes and behaviours toward workplace safety, plays a vital role in preventing accidents and ensuring workforce well-being. This article presents a novel method for assessing safety culture using the Hazard and Operability Study (HAZOP), a structured approach for identifying and mitigating process-related risks. We propose that HAZOP can be effectively applied to analyze an organization's Integrated Vibrant Safety Management System (IVSMS) and develop a Safety Culture Index (SCI). The IVSMS comprises 21 elements, including Industry 4.0, Process Safety Management, and Occupational Safety and Health, offering a comprehensive view of safety practices. While these elements are typically weighted equally, our approach accounts for their varying impacts on safety performance, enabling more targeted interventions. These weightings can be adapted to suit different organizations. By evaluating each element through HAZOP, we can uncover strengths and gaps in risk management, communication and mitigation. The resulting SCI provides a quantifiable measure of safety culture, supporting benchmarking and continuous improvement. Strengthening safety culture through this method not only enhances safety outcomes but also contributes to organizational resilience and success.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"561-569"},"PeriodicalIF":2.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144849357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Addressing global health challenges: a comprehensive framework for determinants of health.","authors":"Sakshi Gupta, Neeraja Lugani Sethi","doi":"10.1080/17457300.2025.2566336","DOIUrl":"10.1080/17457300.2025.2566336","url":null,"abstract":"<p><p>World Health Organization's (WHO) Healthy Cities Programme (HCP), initiated in 1984, addresses the global health challenges arising from urbanization and globalization within its six regions. In 2021, the Government of India (GOI) recommended to develop 500 Health Cities by 2030, aligning with WHO's HCP. The programme emphasizes addressing social, political, environmental and economic health determinants for policy interventions, guided by existing models of determinants of health (MoDH). However, these models exhibit gaps in capturing determinants in an evolving globalized world. This research conducts content analysis of the proceedings of ten WHO-led Global (GCHP) and international conferences on health promotion (ICHP) to identify the existing and emerging determinants. The integrative literature review of MoDH revealed limitations in addressing emerging legal, technological, and commercial determinants, and spatial scales, thereby informing the development of an updated framework for determinants of health for effective decision-making amidst dynamic global health landscapes.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"580-591"},"PeriodicalIF":2.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145208099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patterns of fatal road crashes in different road types: applying association rules mining in police reported crash data.","authors":"Sankhadeep Pramanik, Jhareswar Maiti, Bhargab Maitra","doi":"10.1080/17457300.2025.2566337","DOIUrl":"10.1080/17457300.2025.2566337","url":null,"abstract":"<p><p>Road crashes and resulting fatalities are a major concern globally. Low- and Medium-Income Countries (LMIC) contribute to nearly 93% of the global fatalities due to road crashes. In this regard, the present study aims to identify associated factors which influence fatal crashes in the context of an LMIC. Also, it aims to investigate if these associated factors are different for different road categories. The work is carried out by analysing 20,556 police-reported crash data obtained from the state of West Bengal in India. Various factors considered in analysis include roadway characteristics, vehicle characteristics, crash characteristics and human-related factors. The analysis of data using association rules mining reveals that factors associated with fatal crashes vary across different categories of roads. While causal factors on high-speed corridors, i.e. National Highways (NH) and State Highways (SH) show some similarities, such as collision with pedestrians in open area and straight sections, they are substantially different on other roads, such as hitting fixed object, involvement of two-wheeler. However, regardless of road category, speeding and absence of speed limit were found to be important associated factors in all categories of road. The findings derived from the present work may be used advantageously for formulating policy and necessary interventions to reduce fatalities.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"592-601"},"PeriodicalIF":2.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145208061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial.","authors":"Jhareswar Maiti","doi":"10.1080/17457300.2025.2597703","DOIUrl":"https://doi.org/10.1080/17457300.2025.2597703","url":null,"abstract":"","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":"32 4","pages":"559-560"},"PeriodicalIF":2.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145821593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intelligent multimodal sensor fusion for early knee disorder detection and injury prevention using prosthetic gait control.","authors":"Vidyapati Kumar, Dilip Kumar Pratihar","doi":"10.1080/17457300.2025.2572095","DOIUrl":"10.1080/17457300.2025.2572095","url":null,"abstract":"<p><p>Wearable systems for knee pathology detection and prosthetic control remain constrained by diagnostic limitations or rigid actuation. This study introduces an integrated two-phase framework combining non-invasive screening with adaptive prosthetic control. Phase 1 employs novel time-frequency features (Enhanced Mean Absolute Value/Enhanced Wavelength), achieving 94.7% abnormality detection accuracy <i>via</i> Extra Trees classifier, <i>a</i> + 3.16% improvement over conventional features, which is validated through 10-fold cross-validation and rigorous statistical testing (Friedman/Nemenyi, 95% confidence intervals). SHAP analysis yields clinician-interpretable thresholds (e.g. Semitendinosus EMAV > 0.3 mV). Phase 2 utilises multimodal fusion (EMG, FSR, IMU) to achieve 99.2% gait phase accuracy with XGBoost, enabling real-time health-adaptive prosthetic control that dynamically modulates: phase-transition timing (400 ms abnormal vs. 300 ms normal), EMG thresholds (0.15 mV vs. 0.10 mV), and motor gains (2.5× vs. 1.0×) based on pathology status. Validated in a LabVIEW-based control environment across variable terrains and speeds, this end-to-end diagnostics-to-control implementation delivers superior screening accuracy (>4.7% gain vs. deep learning) while enabling context-aware prosthetic adaptation, establishing a new paradigm for accessible musculoskeletal rehabilitation.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"602-625"},"PeriodicalIF":2.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145423153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Forecasting road traffic accidents in India: a SARIMAX approach incorporating COVID-19 effects.","authors":"Sanjay Kumar Singh, Vijay Lakshmi Singh","doi":"10.1080/17457300.2025.2541662","DOIUrl":"10.1080/17457300.2025.2541662","url":null,"abstract":"<p><p>Road traffic accidents (RTAs) remain a significant public health challenge in India, causing substantial fatalities, injuries, and economic losses. Despite global improvements in road safety, India's performance has been subpar, accounting for a significant portion of the worldwide number of road fatalities. Between 2012 and 2022, RTA-related deaths in India rose by 23%, contrasting with a 5% global decline. This study employs the Seasonal Autoregressive Integrated Moving Average with Exogenous variables (SARIMAX) model to forecast future RTA trends in India, taking into account the COVID-19 pandemic as an external factor. While traditional models, such as SARIMA, effectively capture historical patterns, they often overlook external shocks, including pandemic-induced changes in mobility. By integrating pandemic-related disruptions, the SARIMAX model offers more robust, data-driven forecasts. Analysis of monthly RTA data from 2010 to 2022 suggests that, without intervention, annual crash rates could exceed 440,000 cases. The findings underscore the urgent need for comprehensive measures, including stronger policies, improved infrastructure, stricter law enforcement, and advanced technologies like AI-driven monitoring systems, to enhance road safety in the post-pandemic era.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"489-498"},"PeriodicalIF":2.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144761709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}