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Objectives Training is regarded as an important component of occupational health and safety (OHS) programs. This paper primarily addresses whether OHS training has a beneficial effect on workers. The paper also examines whether higher engagement OHS training has a greater effect than lower engagement training. Methods Ten bibliographic databases were searched for pre-post randomized trial studies published in journals between 1996 and November 2007. Training interventions were included if they were delivered to workers and were concerned with primary prevention of occupational illness or injury. The methodological quality of each relevant study was assessed and data was extracted. The impacts of OHS training in each study were summarized by calculating the standardized mean differences. The strength of the evidence on training's effectiveness was assessed for (i) knowledge, (ii) attitudes and beliefs, (iii) behaviors, and (iv) health using the US Centers for Disease Control and Prevention's Guide to Community Preventive Services, a qualitative evidence synthesis method. Results Twenty-two studies met the relevance criteria of the review. They involved a variety of study populations, occupational hazards, and types of training. Strong evidence was found for the effectiveness of training on worker OHS behaviors, but insufficient evidence was found of its effectiveness on health (ie, symptoms, injuries, illnesses). Conclusions The review team recommends that workplaces continue to deliver OHS training to employees because training positively affects worker practices. However, large impacts of training on health cannot be expected based on research evidence.

In Switzerland, apprentices trained within the dual system experience higher rates of occupational accidents and increased exposure to physical and psychological risks. In this context, teachers in vocational schools play a central role in the transmission of occupational health and safety (OHS) knowledge. Yet, their reality remains poorly documented. Based on individual interviews conducted with vocational education teachers, this contribution examines the roles they assume, the content and modes of transmission of OHS knowledge, as well as the obstacles to such transmission. A vague prescriptive framework, the lack of legitimacy of the school-based component, and insufficient resources prevent them from acting or reduce OHS to physical health and safety alone. More broadly, this contribution questions the subordinate position of schools within the Swiss dual system and reflects on possible futures, situated between an “ideal world” and a space permeated by economic logics. Ultimately, what are the consequences for teachers?

Occupational accidents remain a critical issue in Turkey, with significant social and economic consequences, and understanding accident trends is essential for developing effective prevention strategies. This study employed both linear AutoRegressive Moving Average with Exogenous Input (ARMAX) and Nonlinear AutoRegressive with Exogenous Input (NLARX) models to forecast future occupational accidents using four accident-related populations ( , , , ) derived from official insurance records. Due to the lack of consistently reported monthly data from the Social Security Institution (SSI), exogenous variables such as sectoral, economic, or demographic indicators were not incorporated, and the models were therefore identified based solely on the endogenous accident dynamics. The ARMAX identification process yielded a relatively large set of candidate parameters, which were subsequently evaluated using statistical significance criteria; only coefficients with p values below 0.05 and confidence intervals excluding zero were retained for interpretation. Model performance was evaluated using the normalized mean squared error (NMSE), which was computed separately for the training period, the test (out-of-sample forecasting) period, and the full dataset for each model. This multi-level evaluation enabled a consistent comparison of in-sample fitting accuracy, out-of-sample generalization capability, and overall predictive performance across ARMAX and NLARX models. The significance-based analysis revealed distinct linear dynamic structures across the output groups, with the populations characterized by a larger number of moderate-magnitude significant coefficients, whereas exhibited fewer but more dominant linear effects. The ARMAX model produced the lowest NMSE values across the training, test, and full datasets for most populations, demonstrating particularly strong and stable predictive accuracy for and . The NLARX model yielded the best performance for and showed comparable NMSE values to ARMAX for and , although it exhibited higher forecasting errors for , especially in the test period. Overall, the results indicated that while NLARX was capable of capturing nonlinear patterns in specific cases, the ARMAX framework provided a more robust, interpretable, and consistently generalizable representation of the dominant temporal dynamics governing occupational accident trends. These findings highlighted the potential of multivariate time series models to support evidence-based decision-making in occupational safety planning and policy development.

Objectives The aim of this review was to assess the evidence that occupational safety and health (OSH) legislative and regulatory policy could improve the working environment in terms of reduced levels of industrial injuries and fatalities, musculoskeletal disorders, worker complaints, sick leave and adverse occupational exposures. Methods A systematic literature review covering the years 1966‒2017 (February) was undertaken to capture both published and gray literature studies of OSH work environment interventions with quantitative measures of intervention effects. Studies that met specified in- and exclusion criteria went through an assessment of methodological quality. Included studies were grouped into five thematic domains: (i) introduction of OHS legislation, (ii) inspection/enforcement activity, (iii) training, such as improving knowledge, (iv), campaigns, and (v) introduction of technical device, such as mechanical lifting aids. The evidence synthesis was based on meta-analysis and a modified Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach. Results The search for peer-reviewed literature identified 14 743 journal articles of which 45 fulfilled the inclusion criteria and were eligible for meta-analysis. We identified 5181 articles and reports in the gray literature, of which 16 were evaluated qualitatively. There was moderately strong evidence for improvement by OHS legislation and inspections with respect to injuries and compliance. Conclusions This review indicates that legislative and regulatory policy may reduce injuries and fatalities and improve compliance with OHS regulation. A major research gap was identified with respect to the effects of OSH regulation targeting psychological and musculoskeletal disorders.

Effective safety management is a key aspect of managing construction projects. Current safety management practices are heavily document-oriented that rely on historical data to identify potential hazards at a construction job site. Such document-bound safety practices are prone to interpretative and communication errors in multilingual construction environments, such as in the United Arab Emirates (UAE). Applications of Building Information Models (BIM) and Virtual Reality (VR) are claimed to improve hazards identification and communication in comparison to 2-D static drawings by simulating job-site conditions and safety implications and thus can interactively educate the job-site crew to enhance their understanding of the on-site conditions and safety requirements. This paper presents findings of a case study conducted to evaluate the effectiveness of 4-Dimensional (4-D) BIM and VR in simulating job-site safety instructions for a multilingual construction crew at a project in the UAE. 4-D BIM-enabled VR simulations, in lieu of the Abu Dhabi Occupational Safety and Health Center (OSHAD) code of practice, were developed and tested through risk assessment and safety training exercises for the job-site crew. The results showed a significant improvement in the job-site crew’s ability to recognize a hazard, understand safety protocols, and incorporate proactive risk response in mitigating the hazards. This study concludes that 4-D BIM-enabled VR visualization can improve information flow and knowledge exchange in a multilingual environment where jobsite crew do not speak a common language and cannot understand written safety instructions, manuals, and documents in any common language due to linguistic diversity. The findings of this study are useful in communicating safety instructions, and safety training, in the UAE, as well as in international projects.

Safety education and training for employees is important to ensure the safety of construction and improve the safety awareness of employees. It is difficult to meet the needs of the new situation of safety production with traditional safety education and training consequences of construction enterprises. To address this deficiency, this research analyzed the formation mechanism of safety behavior of personnel at different levels in construction enterprises from the perspective of behaviorist psychology and studied their different needs for safety training, designing training programs for simple safety behavior and complex safety behavior according to the degree of difficulty of the training content. This research also developed and tested models of training frequency and training times and carried out corresponding experimental research. Through the experiments of “safety behavior by wearing a helmet” and “fire control consciousness training”, it was found that the training of consciousness of relatively complex safety behavior should follow the principles that each training should last longer and the training interval should not be too short, so as to minimize the cost of safety education and training while ensuring the quality of safety education and training.

Assessing the occupational health and safety (OHS) factors in the welding process is necessary to determine the workers’ perception of what contributes to their safety and health in the workplace. This would provide insight for stakeholders to aid them in their occupational safety and health programs. The non-probability sample technique utilized in this study is purposive sampling using an online survey. Welders in Singapore are the intended participants. The self-administered online survey was conducted using Google Forms. The hypothesis test’s beta coefficient and R2 results were used to evaluate the model using partial least squares structural equation modeling (PLS-SEM). The study’s results revealed that safety culture has the highest association with top management attitudes toward safety and health in the workplace. Similarly, safety training was also found to have a strong association with employees’ attitudes towards safety. Finally, factors such as compliance with safe working conditions, safety programs, and the absence of and lack of exposure to harmful agents were also proven to have a significant association with safety and health in the workplace. This study benefits not only those businesses conducting the welding process but also employees to better understand the factors contributing to their overall safety at work.

Maritime transportation plays a vital role in international trade and commerce, with ports serving as critical points of connection between land and sea transportation systems. The operational efficiency of port facilities is essential to ensure the uninterrupted flow of goods and services, making port safety a top priority for governments, authorities, and shipping companies. Due to the importance of Occupational Health and Safety (OHS) within port environments, it is crucial to develop a structured framework in order to collect and analyze port accidents data. Today there are several different national agencies, private organizations, and/or local regulatory bodies taking charge of these data over different areas, each with variations in how they document and classify the events; in addition these are frequently limited to only major disasters and/or summary statistics. This paper aims to create a general framework to collect and fuse open-source port accident data from different sources in a structured way and to analyze the safety conditions of port facilities by conducting a comparative evaluation based on design of experiment (DoE). Through this analysis, we identify common causes of accidents and injuries in port facilities, as well as any differences in safety conditions across regions, types of port facilities, and other relevant factors. This information can be used to inform policies and practices aimed at improving port safety, reducing accidents and injuries, and ultimately enhancing the efficiency and sustainability of maritime transportation systems. The motivation to develop this research relies on the necessity to define requirements for the development of innovative solutions to be developed by the authors using modeling and simulation (M&S) and XR (extended reality) in order to increase safety in these contexts.

This study explores the use of Large Language Models (LLMs), specifically GPT, for different safety management applications in the construction industry. Many studies have explored the integration of GPT in construction safety for various applications; their primary focus has been on the feasibility of such integration, often using GPT models for specific applications rather than a thorough evaluation of GPT’s limitations and capabilities. In contrast, this study aims to provide a comprehensive assessment of GPT’s performance based on established key criteria. Using structured use cases, this study explores GPT’s strength and weaknesses in four construction safety areas: (1) delivering personalized safety training and educational content tailored to individual learner needs; (2) automatically analyzing post-accident reports to identify root causes and suggest preventive measures; (3) generating customized safety guidelines and checklists to support site compliance; and (4) providing real-time assistance for managing daily safety tasks and decision-making on construction sites. LLMs and NLP have already been employed in each of these four areas for improvement, making them suitable areas for further investigation. GPT demonstrated acceptable performance in delivering evidence-based, regulation-aligned responses, making it valuable for scaling personalized training, automating accident analyses, and developing safety protocols. Additionally, it provided real-time safety support through interactive dialogues. However, the model showed limitations in deeper critical analysis, extrapolating information, and adapting to dynamic environments. The study concludes that while GPT holds significant promise for enhancing construction safety, further refinement is necessary. This includes fine-tuning for more relevant safety-specific outcomes, integrating real-time data for contextual awareness, and developing a nuanced understanding of safety risks. These improvements, coupled with human oversight, could make GPT a robust tool for safety management.

This study aimed to investigate the mediating role of demographic characteristics between organizational commitment and occupational health and safety performance at, Ovid Construction PLC, a leading private company in Ethiopia. A cross-sectional study design was employed, and a sample of 370 workers was selected using systematic random sampling. A structured questionnaire was used to collect data, and both descriptive and multivariate analysis techniques were employed. The results showed that organizational commitment positively and significantly affects occupational health and safety performance, and demographic characteristics except age positively and significantly affect occupational health and safety performance. Moreover, except aga, demographic profiles (Education Level and Work Experience) significantly and partially mediate the relationship between the two Organizational Commitment variables (Safety Measures and Work Environment) and Occupational Accident. This study highlights the importance of considering demographic factors in organizational commitment and safety training programs to improve occupational health and safety outcomes.