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Record W4408581130 · doi:10.3389/fpubh.2025.1584770

Editorial: Innovative prevention strategies for occupational health hazards

2025· editorial· en· W4408581130 on OpenAlexaff
Chun‐Yip Hon, Enrico Bergamaschi

Bibliographic record

VenueFrontiers in Public Health · 2025
Typeeditorial
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsOccupational safety and healthMedicineEnvironmental healthRisk analysis (engineering)

Abstract

fetched live from OpenAlex

poor ergonomics setup of an office workstation and glare were associated with increased CVSboth of which are novel findings and should be taken into consideration to reduce the likelihood of CVS. Shoker et al. conducted a systematic review of randomized-control trials assessing the effect of mindfulness programs on burnout. Two-thirds of the trials examined demonstrated that these mindfulness programs had a significant beneficial effect on burnout metrics, with the most impacted element being emotional exhaustion.Risk assessment is a fundamental principle of occupational health and safety and is intended to identify, assess, and control hazards in the workplace and, in turn, improve the health and safety of workers.(8) However, there is no standardized approach for conducting a risk assessment of occupational hazards, especially in small and micro enterprises. Holla et al. developed and validated a new systematic risk assessment procedure with positive outcomes that can be employed for a variety of occupations and procedures/tasks. Exposure to nanomaterials is a growing occupational health concern made more complicated by the fact that there is no standardized exposure assessment method as well as no published occupational exposure limits. (9) One possible means to reduce the risk of exposure to nanoparticles generated from 3D printing is employing safe(r)-by-design (SbD) principles. In their research article, McLean et al. collected airborne samples of nanomaterials from 3D printing processes in order to populate an exposure database used to support decision-making of the European Standard for monitoring release of nanomaterials as well as to facilitate the application of SbD strategies towards reducing occupational exposure to these airborne hazards.An estimated 15% of working-age adults have a mental disorder according to the WHO. (10) Further, the WHO estimates that 12 billion working days are lost annually due to depression and anxiety which results in lost productivity costing US$ 1 trillion per year. (10) To address this, a framework to create mentally healthy workplaces was originally released in 2018. (11) The same group of researchers, led by Deady, updated the framework in their article published in this special issue. This update incorporated evidence-based best practices as well as other findings from new research regarding the effectiveness of interventions which are aimed to foster mentally healthy workplaces.Workplace health promotion programs have been deemed as being important to modify behaviour and risk factors associated with various outcomes including weight-related issues, mental health, and musculoskeletal disorders. (12) In their study, Hente and Schlesinger conducted a qualitative study to assess the perception of organizations with respect to a workplace health management network (WHM) aimed at health promotion in small and medium enterprises. They concluded that the WHM network was beneficial for increasing awareness and implementation of healthpromoting interventions.The frequency and intensity of wildfires is increasing. (13) This is an issue as wildland firefighters are already at risk of heat stress (14) and it has been shown that their core body temperature rises when the amount of physical exertion increases (i.e., fighting a more intense fire).( 15) Gutiérrez-Arroyo et al.'s study examined the effectiveness of two cooling interventions, a cooling vest and removal of personal protective equipment, in simulated environments mimicking wildland firefighting conditions. Unfortunately, neither cooling strategy was found to effectively mitigate thermal strain amongst wildland firefighters. n-Hexane is a chemical widely used in various production processes including printing. Occupational exposure to n-hexane can lead to damage to the peripheral nerves and such cases have been reported in countries throughout the world.( 16) Given its frequency of use and associated health effects, Hu et al. sought to analyze n-hexane exposure in the printing industry in China using various occupational health risk assessment models. They concluded that the method outlined in China's Technical Guide GBZ/T 289-2017 was most appropriate for assessing exposure risk to n-hexane in printing enterprises.In the third and final burnout study published in the special issue, Fang et al. examined if a relationship exists between humour styles and burnout in nurses. Their findings suggest that using humour to cope with stress and maintain a positive attitude may be beneficial in mitigating burnout among nurses.Utilizing computer vision, which automatically extracts meaningful information from images, has the potential to improve workplace health and safety.( 17) Román-Gallego et al. used a form of artificial neural network to recognize safety signs -regardless of their orientation. The findings suggest that the artificial neural network is capable of recognizing the signage and, in turn, alerting workers of risks. However, errors did occur, and further research is needed.Psychosocial hazards in the workplace can lead to various adverse health effects including mental health issues, musculoskeletal disorders and cardiovascular disease. (18) Moreover, these hazards can have negative effects on workers' job satisfaction as well as their productivity. (19) In their study, Bazaluk et al. developed a method for determining psychosocial risk factors that aligns with ISO 45003:2021 (Occupational health and safety management: Psychological health and safety at work -Guidelines for managing psychosocial risks). (20) The authors developed a systematic approach to assess psychosocial risk factors which, in turn, can be used to manage these same risks.Overall, this special issue showcases some novel approaches to address various occupational health hazards. It is hoped that organizations will consider adopting some of these measures to improve health and safety in the workplace. Given the startling statistics presented earlier, any opportunity to reduce the frequency and severity of workplace exposures/incidents should be contemplated as the health and well-being of literally millions of people is at stake.International Labour Organization (2023) "Nearly 3 million people die of work-related accidents and diseases" 26 November 2023 [Internet] https://www.ilo.org/resource/news/nearly-3-million-people-die-work-related-accidents-anddiseases

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.029
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.028
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0040.002
Science and technology studies0.0030.003
Scholarly communication0.0070.005
Open science0.0060.002
Research integrity0.0210.020
Insufficient payload (model declined to judge)0.0290.016

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.085
GPT teacher head0.506
Teacher spread0.421 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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