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Enregistrement W4408581130 · doi:10.3389/fpubh.2025.1584770

Editorial: Innovative prevention strategies for occupational health hazards

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

Notice bibliographique

RevueFrontiers in Public Health · 2025
Typeeditorial
Langueen
DomaineHealth Professions
ThématiqueOccupational Health and Safety Research
Établissements canadiensToronto Metropolitan University
Organismes subventionnairesnon disponible
Mots-clésOccupational safety and healthMedicineEnvironmental healthRisk analysis (engineering)

Résumé

récupéré en direct d'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

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,028
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,029
Score d'incertitude au seuil0,097

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,028
Méta-épidémiologie (sens strict)0,0040,001
Méta-épidémiologie (sens large)0,0050,004
Bibliométrie0,0040,002
Études des sciences et des technologies0,0030,003
Communication savante0,0070,005
Science ouverte0,0060,002
Intégrité de la recherche0,0210,020
Charge utile insuffisante (le modèle a refusé de juger)0,0290,016

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,085
Tête enseignante GPT0,506
Écart entre enseignants0,421 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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