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Schlünssen V, Mandrioli D, Pega F, Momen NC, Ádám B, Chen W, Cohen RA, Godderis L, Göen T, Hadkhale K, Kunpuek W, Lou J, Mandic-Rajcevic S, Masci F, Nemery B, Popa M, Rajatanavin N, Sgargi D, Siriruttanapruk S, Sun X, Suphanchaimat R, Thammawijaya P, Ujita Y, van der Mierden S, Vangelova K, Ye M, Zungu M, Scheepers PTJ. 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. ENVIRONMENT INTERNATIONAL 2023; 178:107980. [PMID: 37487377 DOI: 10.1016/j.envint.2023.107980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 05/03/2023] [Accepted: 05/12/2023] [Indexed: 07/26/2023]
Abstract
BACKGROUND The World Health Organization (WHO) and the International Labour Organization (ILO) are developing joint estimates of the work-related burden of disease and injury (WHO/ILO Joint Estimates), with contributions from a large number of individual experts. Evidence from human, animal and mechanistic data suggests that occupational exposure to dusts and/or fibres (silica, asbestos and coal dust) causes pneumoconiosis. In this paper, we present a systematic review and meta-analysis of the prevalences and levels of occupational exposure to silica, asbestos and coal dust. These estimates of prevalences and levels will serve as input data for estimating (if feasible) the number of deaths and disability-adjusted life years that are attributable to occupational exposure to silica, asbestos and coal dust, for the development of the WHO/ILO Joint Estimates. OBJECTIVES We aimed to systematically review and meta-analyse estimates of the prevalences and levels of occupational exposure to silica, asbestos and coal dust among working-age (≥ 15 years) workers. DATA SOURCES We searched electronic academic databases for potentially relevant records from published and unpublished studies, including Ovid Medline, PubMed, EMBASE, and CISDOC. We also searched electronic grey literature databases, Internet search engines and organizational websites; hand-searched reference lists of previous systematic reviews and included study records; and consulted additional experts. STUDY ELIGIBILITY AND CRITERIA We included working-age (≥ 15 years) workers in the formal and informal economy in any WHO and/or ILO Member State but excluded children (< 15 years) and unpaid domestic workers. We included all study types with objective dust or fibre measurements, published between 1960 and 2018, that directly or indirectly reported an estimate of the prevalence and/or level of occupational exposure to silica, asbestos and/or coal dust. STUDY APPRAISAL AND SYNTHESIS METHODS At least two review authors independently screened titles and abstracts against the eligibility criteria at a first stage and full texts of potentially eligible records at a second stage, then data were extracted from qualifying studies. We combined prevalence estimates by industrial sector (ISIC-4 2-digit level with additional merging within Mining, Manufacturing and Construction) using random-effects meta-analysis. Two or more review authors assessed the risk of bias and all available authors assessed the quality of evidence, using the ROB-SPEO tool and QoE-SPEO approach developed specifically for the WHO/ILO Joint Estimates. RESULTS Eighty-eight studies (82 cross-sectional studies and 6 longitudinal studies) met the inclusion criteria, comprising > 2.4 million measurements covering 23 countries from all WHO regions (Africa, Americas, Eastern Mediterranean, South-East Asia, Europe, and Western Pacific). The target population in all 88 included studies was from major ISCO groups 3 (Technicians and Associate Professionals), 6 (Skilled Agricultural, Forestry and Fishery Workers), 7 (Craft and Related Trades Workers), 8 (Plant and Machine Operators and Assemblers), and 9 (Elementary Occupations), hereafter called manual workers. Most studies were performed in Construction, Manufacturing and Mining. For occupational exposure to silica, 65 studies (61 cross-sectional studies and 4 longitudinal studies) were included with > 2.3 million measurements collected in 22 countries in all six WHO regions. For occupational exposure to asbestos, 18 studies (17 cross-sectional studies and 1 longitudinal) were included with > 20,000 measurements collected in eight countries in five WHO regions (no data for Africa). For occupational exposure to coal dust, eight studies (all cross-sectional) were included comprising > 100,000 samples in six countries in five WHO regions (no data for Eastern Mediterranean). Occupational exposure to silica, asbestos and coal dust was assessed with personal or stationary active filter sampling; for silica and asbestos, gravimetric assessment was followed by technical analysis. Risk of bias profiles varied between the bodies of evidence looking at asbestos, silica and coal dust, as well as between industrial sectors. However, risk of bias was generally highest for the domain of selection of participants into the studies. The largest bodies of evidence for silica related to the industrial sectors of Construction (ISIC 41-43), Manufacturing (ISIC 20, 23-25, 27, 31-32) and Mining (ISIC 05, 07, 08). For Construction, the pooled prevalence estimate was 0.89 (95% CI 0.84 to 0.93, 17 studies, I2 91%, moderate quality of evidence) and the level estimate was rated as of very low quality of evidence. For Manufacturing, the pooled prevalence estimate was 0.85 (95% CI 0.78 to 0.91, 24 studies, I2 100%, moderate quality of evidence) and the pooled level estimate was rated as of very low quality of evidence. The pooled prevalence estimate for Mining was 0.75 (95% CI 0.68 to 0.82, 20 studies, I2 100%, moderate quality of evidence) and the pooled level estimate was 0.04 mg/m3 (95% CI 0.03 to 0.05, 17 studies, I2 100%, low quality of evidence). Smaller bodies of evidence were identified for Crop and animal production (ISIC 01; very low quality of evidence for both prevalence and level); Professional, scientific and technical activities (ISIC 71, 74; very low quality of evidence for both prevalence and level); and Electricity, gas, steam and air conditioning supply (ISIC 35; very low quality of evidence for both prevalence and level). For asbestos, the pooled prevalence estimate for Construction (ISIC 41, 43, 45,) was 0.77 (95% CI 0.65 to 0.87, six studies, I2 99%, low quality of evidence) and the level estimate was rated as of very low quality of evidence. For Manufacturing (ISIC 13, 23-24, 29-30), the pooled prevalence and level estimates were rated as being of very low quality of evidence. Smaller bodies of evidence were identified for Other mining and quarrying (ISIC 08; very low quality of evidence for both prevalence and level); Electricity, gas, steam and air conditioning supply (ISIC 35; very low quality of evidence for both prevalence and level); and Water supply, sewerage, waste management and remediation (ISIC 37; very low quality of evidence for levels). For coal dust, the pooled prevalence estimate for Mining of coal and lignite (ISIC 05), was 1.00 (95% CI 1.00 to 1.00, six studies, I2 16%, moderate quality of evidence) and the pooled level estimate was 0.77 mg/m3 (95% CI 0.68 to 0.86, three studies, I2 100%, low quality of evidence). A small body of evidence was identified for Electricity, gas, steam and air conditioning supply (ISIC 35); with very low quality of evidence for prevalence, and the pooled level estimate being 0.60 mg/m3 (95% CI -6.95 to 8.14, one study, low quality of evidence). CONCLUSIONS Overall, we judged the bodies of evidence for occupational exposure to silica to vary by industrial sector between very low and moderate quality of evidence for prevalence, and very low and low for level. For occupational exposure to asbestos, the bodies of evidence varied by industrial sector between very low and low quality of evidence for prevalence and were of very low quality of evidence for level. For occupational exposure to coal dust, the bodies of evidence were of very low or moderate quality of evidence for prevalence, and low for level. None of the included studies were population-based studies (i.e., covered the entire workers' population in the industrial sector), which we judged to present serious concern for indirectness, except for occupational exposure to coal dust within the industrial sector of mining of coal and lignite. Selected estimates of the prevalences and levels of occupational exposure to silica by industrial sector are considered suitable as input data for the WHO/ILO Joint Estimates, and selected estimates of the prevalences and levels of occupational exposure to asbestos and coal dust may perhaps also be suitable for estimation purposes. Protocol identifier: https://doi.org/10.1016/j.envint.2018.06.005. PROSPERO registration number: CRD42018084131.
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Affiliation(s)
- Vivi Schlünssen
- Department of Public Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark; National Research Center for the Working Environment, Copenhagen, Denmark.
| | - Daniele Mandrioli
- Cesare Maltoni Cancer Research Center, Ramazzini Institute, Bologna, Italy
| | - Frank Pega
- Department of Environment, Climate Change and Health, World Health Organization, Geneva, Switzerland.
| | - Natalie C Momen
- Department of Environment, Climate Change and Health, World Health Organization, Geneva, Switzerland
| | - Balázs Ádám
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, United Arab Emirates
| | - Weihong Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Robert A Cohen
- Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Lode Godderis
- Centre for Environment and Health, Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - Thomas Göen
- University of Erlangen-Nuremberg, Erlangen, Germany
| | | | - Watinee Kunpuek
- International Health Policy Program, Ministry of Public Health, Nonthaburi, Thailand
| | - Jianlin Lou
- Institute of Occupational Diseases, Hangzhou Medical College, Zhejiang Academy of Medical Sciences, Hangzhou, People's Republic of China
| | - Stefan Mandic-Rajcevic
- Department of Health Sciences, University of Milano, Milan, Italy; International Centre for Rural Health, San Paolo Hospital, Milan, Italy
| | - Federica Masci
- Department of Health Sciences, University of Milano, Milan, Italy; International Centre for Rural Health, San Paolo Hospital, Milan, Italy
| | - Ben Nemery
- Centre for Environment and Health, Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - Madalina Popa
- Center for Diabetes Research, Université Libre de Bruxelles, Brussels, Belgium
| | | | - Daria Sgargi
- Cesare Maltoni Cancer Research Center, Ramazzini Institute, Bologna, Italy
| | - Somkiat Siriruttanapruk
- Division of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand
| | - Xin Sun
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Repeepong Suphanchaimat
- International Health Policy Program, Ministry of Public Health, Nonthaburi, Thailand; Division of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand
| | - Panithee Thammawijaya
- Division of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand
| | - Yuka Ujita
- Labour Administration, Labour Inspection and Occupational Safety and Health Branch, International Labour Organization, Geneva, Switzerland; Decent Work Technical Support Team for East and South-East Asia and the Pacific, International Labour Organization, Thailand
| | - Stevie van der Mierden
- Cesare Maltoni Cancer Research Center, Ramazzini Institute, Bologna, Italy; Institute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany
| | - Katya Vangelova
- National Center of Public Health and Analyses, Ministry of Health, Sofia, Bulgaria
| | - Meng Ye
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Muzimkhulu Zungu
- National Institute for Occupational Health, South Africa, Johannesburg, Gauteng Province, South Africa
| | - Paul T J Scheepers
- Radboud Institute for Health Sciences, Radboudumc, Nijmegen, The Netherlands; Radboud Institute for Biological and Environmental Sciences, Radboud University, Nijmegen, The Netherlands
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Rando RJ, Vacek PM, Glenn RE, Kwon CW, Parker JE. Retrospective Assessment of Respirable Quartz Exposure for a Silicosis Study of the Industrial Sand Industry. Ann Work Expo Health 2019; 62:1021-1032. [PMID: 30016388 DOI: 10.1093/annweh/wxy064] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Accepted: 06/26/2018] [Indexed: 11/14/2022] Open
Abstract
Background In 2016, the OSHA PEL for crystalline silica was reduced, renewing interest in evaluating risk of silicosis from occupational exposures. The industrial sand industry, which deals with high-purity quartz sands, is the setting for a current epidemiologic investigation of silicosis risk and progression. In support of that investigation, respirable quartz (RQ) exposures were retrospectively estimated for 67 workers with silicosis and 167 matched control workers from 21 industrial sand plants, in which some started work as early as 1929. Methods A job exposure matrix (JEM) was constructed by integrating a modern (post-1970) RQ exposure database containing more than 40000 measurements with archival particle count exposure data from a 1947 survey. A simulation algorithm was used to develop a conversion factor to convert the archival particle count data into modern measures of RQ by randomly generating 100000 virtual dust particles of varying diameters corresponding to the size distributions of 14 archival particle size distribution samples. The equivalent respirable mass and particle counts of the virtual particles were calculated, totalled, and ratioed to derive the conversion factor. The JEM was integrated with individual job histories to calculate average and cumulative exposure for each case and control. Multiple exposure estimates were derived for unprotected exposures as well as for exposures adjusted for estimated respiratory protective equipment use and efficiency. Results The mean of the count to respirable mass conversion factors derived from 14 archival particle size samples was 157 µg m-3 per mppcf (SD: 42; range: 96-263) with no statistical difference across process areas (drying, screening, vibrating, binning, bulk loading, bagging), P = 0.29. The JEM demonstrated an industry-wide decrease in prevailing exposures to RQ of up to about 2 orders of magnitude from the distant (1929) to the recent (2012) past. Unadjusted cumulative exposures for cases and controls were statistically different (P < 0.001) with respective medians (range) of 3764 µg m-3 year (221-25121) and 1595 µg m-3 year (0-16446). Adjustment of exposure for use of respiratory protection showed modest reductions in estimated exposure: median adjusted cumulative exposures assuming a protection factor of 5 were 86% and 77% of the unadjusted values for cases and controls, respectively. Conclusions The industrial sand industry offers a unique setting for examination of silicosis risk because of the high silica content of industrial sand and a long history of radiographic silicosis surveillance of industry workers. However, the great majority of silicosis cases in this industry are found among former workers and are associated with exposures occurring in the distant past, which necessitates extensive retrospective exposure assessment and increases the likelihood of exposure misclassification. Nonetheless, the estimated cumulative exposures for silicosis cases and controls in this work were significantly different, with the median cumulative exposure for cases being more than twice that of their matched controls.
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Affiliation(s)
- Roy J Rando
- Tulane University, School of Public Health & Tropical Medicine, Department of Global Environmental Health Science, New Orleans, LA, USA
| | - Pamela M Vacek
- University of Vermont, Medical Biostatistics Unit, Larner College of Medicine, Burlington, VT, USA
| | | | - Cheol Woong Kwon
- Tulane University, School of Public Health & Tropical Medicine, Department of Global Environmental Health Science, New Orleans, LA, USA
| | - John E Parker
- West Virginia University, School of Medicine, Section of Pulmonary and Critical Care, Morgantown, WV, USA
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