The prevalences and levels of occupational exposure to dusts and/or fibres (silica, asbestos and coal): A systematic review and meta-analysis from the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury

Schlünssen, Vivi; Mandrioli, Daniele; Pega, Frank; Momen, Natalie C.; Ádám, Balázs; Chen, Weihong; Cohen, Robert A.; Godderis, Lode; Göen, Thomas; Hadkhale, Kishor; Kunpeuk, Watinee; Lou, Jianlin; Mandić‐Rajčević, Stefan; Masci, Federica; Nemery, Benoît; Popa, Mădălina; Rajatanavin, Nattadhanai; Sgargi, Daria; Siriruttanapruk, Somkiat; Sun, Xin; Suphanchaimat, Repeepong; Thammawijaya, Panithee; Ujita, Yuka; Mierden, Stevie van der; Вангелова, K.; Ye, Meng; Zungu, Muzimkhulu; Scheepers, Paul T.J.

doi:10.1016/j.envint.2023.107980

Cited by 8 publications

(5 citation statements)

References 120 publications

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“…Thus, the entire burden of pneumoconiosis may be entirely attributed to occupational exposure to gases, smoke, and particulate matter through risk factors ( 38 ). Rather than inflammation, the degree of occupational exposure concentration and exposure duration plays an essential part in the development and course of pneumoconiosis ( 39 ). Information on blood markers of systemic inflammation is not available in the database.…”

Section: Discussionmentioning

confidence: 99%

No causal association between pneumoconiosis and three inflammatory immune diseases: a Mendelian randomization study

Du,

Lu,

et al. 2024

Front. Public Health

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ObjectivesTo investigate the causal relationships between pneumoconiosis and rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and gout.MethodsThe random-effects inverse variance weighted (IVW) approach was utilized to explore the causal effects of the instrumental variables (IVs). Sensitivity analyses using the MR-Egger and weighted median (WM) methods were did to investigate horizontal pleiotropy. A leave-one-out analysis was used to avoid the bias resulting from single-nucleotide polymorphisms (SNPs).ResultsThere was no causal association between pneumoconiosis and SLE, RA or gout in the European population [OR = 1.01, 95% CI: 0.94–1.10, p = 0.74; OR = 1.00, 95% CI: 0.999–1.000, p = 0.50; OR = 1.00, 95% CI: 1.000–1.001, p = 0.55]. Causal relationships were also not found in pneumoconiosis due to asbestos and other mineral fibers and SLE, RA and gout [OR = 1.01, 95% CI: 0.96–1.07, p = 0.66; OR = 1.00, 95% CI: 1.00–1.00, p = 0.68; OR = 1.00, 95% CI: 1.00–1.00, p = 0.20].ConclusionOur study suggests that pneumoconiosis may have no causal relationship with the three inflammatory immune diseases.

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Section: Discussionmentioning

confidence: 99%

No causal association between pneumoconiosis and three inflammatory immune diseases: a Mendelian randomization study

Du,

Lu,

et al. 2024

Front. Public Health

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“…As is known to us, there have often existed a lot of toxic, harmful gases and dust particles in coal, petroleum, natural gas, and other industrial fields. − Long-term exposure of workers to air pollutants in the workplace can lead to various occupational diseases, such as pneumoconiosis and chronic obstructive pulmonary disease. − As the last line of defense to protect workers’ health and safety, respiratory protective equipment (RPE) plays a vital role in preventing workers from breathing the polluted air . The efficiency of the respirator is largely dependent on the tight facial fit; when facial seal leakage occurs, airborne contaminants will enter the respirator through the gap between the mask and the wearer’s face .…”

Section: Introductionmentioning

confidence: 99%

Smart Humidity Sensor Based on Cs₃Cu₂I₅ Nanorods for Real-Time Monitoring of Leakage of Respiratory Protective Equipment

Li,

Gao,

Zhu

et al. 2024

ACS Appl. Electron. Mater.

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The presence of leakage in respiratory protective equipment undermines its intended efficacy in protection. Therefore, the real-time monitoring of leakage in respiratory protective equipment is of paramount importance. In this work, a lead-free humidity sensor based on Cs 3 Cu 2 I 5 nanorods was utilized to achieve the leakage detection of respiratory protective equipment. Addition of the organometallic ligand Al(acac) 3 improved the stability of the material and contributes to long-lasting stable applications. Cyclic response testing demonstrated rapid response/recovery times of 2.98/2.96 s in the humidity range 20∼80% RH. Further explanation of the moisture sensitivity mechanism and rationalization of RPE leakage monitoring through humidity were explored by density functional theory calculation and computational fluid dynamics calculation. Then, the sensor array was integrated into the respirator and combined with a deep learning algorithm to detect leakage. The results showed that respirator leakage can be effectively identified with an average accuracy of 94.4%, which contributes to the protection of workers' health.

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“…A common occupational disease among quarry workers is lung disease, such as silicosis and pneumoconiosis (Schlünssen et al, 2023). This disease progresses rapidly even after exposure has ceased, with decreased lung function in a significant number of affected workers.…”

Section: Introductionmentioning

confidence: 99%

“…It has been found that those workers who are constantly exposed to excessive noise levels tend to develop noise-induced hearing loss (NIHL) (Fuente & Hickson, 2011). The authors found a positive correlation between the incidence of NIHL and excessive noise exposure in industrial processes (Thai et al, 2021). Researchers have found that even though workplace noise exposure is below the regulatory threshold of 85 dB(A) and may not cause immediate hearing damage, it can have a significant impact on workers' hearing health, cognitive function, psychological well-being and overall productivity (Themann & Masterson, 2019;Materu et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Mathematical Description of Harmful Industrial Factors for Assessing the Quarry Workers' Occupational Risk

Kruzhilko,

Maystrenko,

Volodchenkova

et al. 2024

TEIEE

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Mining industry is highly important in the economy of each country. At the same time, the mining industry is an industry with a high level of morbidity among workers. Quarry workers are often exposed to hazardous environments, while at the same time a low level of process safety organization. This study aims to develop a mathematical description of modelling the values of harmful factors in the production environment at the workplaces of quarry workers, which will help ensure high-quality engineering control during the work shift. The initial statistical data for the development of mathematical models were obtained directly by the authors through personal observations of the technological process and measurements of the level of harmful factors in the working environment. Measurements were taken using portable digital devices. To develop mathematical description based on accumulated statistical data, polynomial regression was used. The construction of models using polynomial regression is based on the property of functional dependencies, which can be formulated as follows: with a gradual increase in the complexity of the model (polynomial degree), the magnitude of errors (approximation error, forecast error) monotonically decreases. As a result, fourth-order polynomial equations were obtained to model the values of dust concentration and noise level at certain time intervals of the work shift. The correlation coefficient of these models is R = 0.98 and R = 0.99, and the relative error is 9.76% and 6.11% of dust concentration and noise level respectively, which indicates sufficient accuracy of the model. It was established that the studied harmful factors during a normal production process, have a level of impact at which early forms of occupational diseases develop. The proposed mathematical description of modelling the values of these factors makes it possible for high-quality engineering control over current technology processes in order to avoid abnormal excesses of the values. Further research, according to the authors, should be aimed at identifying and mathematically describing other potentially harmful and dangerous factors in the working environment. The originality of the current study lies in the fact that an attempt was made to propose a non-classical approach to quickly identify deteriorating working conditions directly in the work process using mathematical modelling.

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The prevalences and levels of occupational exposure to dusts and/or fibres (silica, asbestos and coal): A systematic review and meta-analysis from the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury

Cited by 8 publications

References 120 publications

No causal association between pneumoconiosis and three inflammatory immune diseases: a Mendelian randomization study

No causal association between pneumoconiosis and three inflammatory immune diseases: a Mendelian randomization study

Smart Humidity Sensor Based on Cs₃Cu₂I₅ Nanorods for Real-Time Monitoring of Leakage of Respiratory Protective Equipment

Mathematical Description of Harmful Industrial Factors for Assessing the Quarry Workers' Occupational Risk

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The prevalences and levels of occupational exposure to dusts and/or fibres (silica, asbestos and coal): A systematic review and meta-analysis from the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury

Cited by 8 publications

References 120 publications

No causal association between pneumoconiosis and three inflammatory immune diseases: a Mendelian randomization study

No causal association between pneumoconiosis and three inflammatory immune diseases: a Mendelian randomization study

Smart Humidity Sensor Based on Cs3Cu2I5 Nanorods for Real-Time Monitoring of Leakage of Respiratory Protective Equipment

Mathematical Description of Harmful Industrial Factors for Assessing the Quarry Workers' Occupational Risk

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Product

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Smart Humidity Sensor Based on Cs₃Cu₂I₅ Nanorods for Real-Time Monitoring of Leakage of Respiratory Protective Equipment