International Journal of Injury Control and Safety Promotion最新文献

{"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":"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":"https://doi.org/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":"1-13"},"PeriodicalIF":2.0,"publicationDate":"2025-12-01","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":"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":"Factors and paths influencing multi-type crash risks on freeway curves: multilevel structural equation modelling.","authors":"Zhenlin Hu, Bijiang Tian, Pengru Wei, Lan Huang, Lin Sheng, Xianghai Meng","doi":"10.1080/17457300.2025.2592194","DOIUrl":"https://doi.org/10.1080/17457300.2025.2592194","url":null,"abstract":"<p><p>Rear-end and side-impact crash risks are the two principal types of multi-vehicle crash risk on freeways. Most previous studies examine a single crash risk type, limiting understanding of their combined effects. This study employs a multilevel structural equation modelling (SEM) framework to investigate the sequential and joint impacts of roadway geometry, dynamic traffic flow, and driving behaviour on multi-type crash risks. The framework was calibrated using 1,762 rear-end and 1,243 lane-changing conflicts from 14 directional sites. The multilevel SEM accounts for site-level heterogeneity to produce more robust estimates. The path analysis identifies two dominant causal chains: 'Horizontal Curve - Density - Car-following Behaviour - Crash Risk' and 'Vertical Slope - Speed Distribution - Lane-changing Behaviour - Crash Risk'. Low-speed fluctuating traffic flow shows higher crash risks than high-speed stable traffic flow. Car-following behaviour increases both rear-end and side-impact risks, while lane-changing activity raises side-impact risk but reduces rear-end risk.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-15"},"PeriodicalIF":2.0,"publicationDate":"2025-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145606773","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":"https://doi.org/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":"1-9"},"PeriodicalIF":2.0,"publicationDate":"2025-11-07","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":"Evaluating the impact of protective equipment on child injury severity in road traffic crashes: an explainable machine learning and counterfactual analysis approach.","authors":"Artur Budzyński","doi":"10.1080/17457300.2025.2578782","DOIUrl":"https://doi.org/10.1080/17457300.2025.2578782","url":null,"abstract":"<p><p>This study evaluated how correct use of child protective equipment (child restraint systems, seat belts, and helmets) influences predicted injury severity for children involved in police-reported road crashes. Data from 69,108 participants under 18 years were analyzed, covering occupant, vehicle, roadway, environmental, and protection factors. An XGBoost classifier achieved ROC AUC = 0.8186 with balanced accuracy, precision, and recall. SHAP interpretation identified seating position and participant type as the most influential predictors. Counterfactual simulations, assuming full compliance with protective-equipment use, showed improved predicted outcomes in 64 cases, while 15 worsened. Helmet non-use was the most frequent lapse. Consistent, correct use of protective devices significantly shifts predicted outcomes toward less severe injuries. The explainable machine-learning and counterfactual framework quantifies the benefits of compliance and provides actionable evidence for targeted education, enforcement, and vehicle-safety design. The approach can be extended to other vulnerable groups, including pregnant occupants.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-12"},"PeriodicalIF":2.0,"publicationDate":"2025-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145453617","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":"A data-driven analysis of industry-specific occupational injury risks and patterns.","authors":"Li Liu, Shengyan Qin","doi":"10.1080/17457300.2025.2568563","DOIUrl":"https://doi.org/10.1080/17457300.2025.2568563","url":null,"abstract":"<p><p>Despite advancements in occupational safety management, injury prevention remains a persistent challenge across industries. This study presents a data-driven investigation into severe occupational injuries using publicly available reports from the U.S. OSHA. Employing Association Rule Mining (ARM) combined with thematic analysis, we identify distinct industry-specific injury profiles and uncover interrelated risk patterns. Key findings indicate a prevalence of finger injuries in manufacturing, falls and burns in construction, lower limb injuries in transportation and wholesale sectors, frequent fall-related incidents in retail, burn and hand injuries in mining and high rates of lower back injuries in healthcare settings. The analysis reveals complex co-occurrence patterns among contributing risk factors, such as task type, environmental conditions and body part affected, that influence both the type and severity of injuries. These insights offer valuable guidance for designing targeted, sector-specific safety interventions and underscore the importance of leveraging occupational injury data to inform evidence-based prevention strategies.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-16"},"PeriodicalIF":2.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145253269","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}