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Peters S, Undem K, Solovieva S, Selander J, Schlünssen V, Oude Hengel KM, Albin M, Ge CB, Kjellberg K, McElvenny DM, Gustavsson P, Kolstad HA, Würtz AML, Brinchmann BC, Broberg K, Fossum S, Bugge M, Christensen MW, Ghosh M, Christiansen DH, Merkus SL, Lunde LK, Viikari-Juntura E, Dalbøge A, Falkstedt D, Willert MV, Huss A, Würtz ET, Dumas O, Iversen IB, Leite M, Cramer C, Kirkeleit J, Svanes C, Tinnerberg H, Garcia-Aymerich J, Vested A, Wiebert P, Nordby KC, Godderis L, Vermeulen R, Pronk A, Mehlum IS. Narrative review of occupational exposures and noncommunicable diseases. Ann Work Expo Health 2024:wxae045. [PMID: 38815981 DOI: 10.1093/annweh/wxae045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 05/09/2024] [Indexed: 06/01/2024] Open
Abstract
OBJECTIVE Within the scope of the Exposome Project for Health and Occupational Research on applying the exposome concept to working life health, we aimed to provide a broad overview of the status of knowledge on occupational exposures and associated health effects across multiple noncommunicable diseases (NCDs) to help inform research priorities. METHODS We conducted a narrative review of occupational risk factors that can be considered to have "consistent evidence for an association," or where there is "limited/inadequate evidence for an association" for 6 NCD groups: nonmalignant respiratory diseases; neurodegenerative diseases; cardiovascular/metabolic diseases; mental disorders; musculoskeletal diseases; and cancer. The assessment was done in expert sessions, primarily based on systematic reviews, supplemented with narrative reviews, reports, and original studies. Subsequently, knowledge gaps were identified, e.g. based on missing information on exposure-response relationships, gender differences, critical time-windows, interactions, and inadequate study quality. RESULTS We identified over 200 occupational exposures with consistent or limited/inadequate evidence for associations with one or more of 60+ NCDs. Various exposures were identified as possible risk factors for multiple outcomes. Examples are diesel engine exhaust and cadmium, with consistent evidence for lung cancer, but limited/inadequate evidence for other cancer sites, respiratory, neurodegenerative, and cardiovascular diseases. Other examples are physically heavy work, shift work, and decision latitude/job control. For associations with limited/inadequate evidence, new studies are needed to confirm the association. For risk factors with consistent evidence, improvements in study design, exposure assessment, and case definition could lead to a better understanding of the association and help inform health-based threshold levels. CONCLUSIONS By providing an overview of knowledge gaps in the associations between occupational exposures and their health effects, our narrative review will help setting priorities in occupational health research. Future epidemiological studies should prioritize to include large sample sizes, assess exposures prior to disease onset, and quantify exposures. Potential sources of biases and confounding need to be identified and accounted for in both original studies and systematic reviews.
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Affiliation(s)
- Susan Peters
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM Utrecht, the Netherlands
| | - Karina Undem
- National Institute of Occupational Health (STAMI), Gydas vei 8, 0363 Oslo, Norway
| | - Svetlana Solovieva
- Finnish Institute of Occupational Health, P.O. Box 40 FI-00032 TYÖTERVEYSLAITOS, Finland
| | - Jenny Selander
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, SE-171 77 Stockholm, Sweden
| | - Vivi Schlünssen
- Department of Public Health, Research Unit for Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Bartholins Allé 2 DK-8000 Aarhus, Denmark
| | - Karen M Oude Hengel
- Netherlands Organisation for Applied Scientific Research TNO, Princetonlaan 6 3584 CB Utrecht, the Netherlands
| | - Maria Albin
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, SE-171 77 Stockholm, Sweden
| | - Calvin B Ge
- Netherlands Organisation for Applied Scientific Research TNO, Princetonlaan 6 3584 CB Utrecht, the Netherlands
| | - Katarina Kjellberg
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, SE-171 77 Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Region Stockholm, Torsplan, Solnavägen 4, 113 65 Stockholm, Sweden
| | - Damien M McElvenny
- Institute of Occupational Medicine, Research Ave N, Currie EH14 4AP, Edinburgh, United Kingdom
- Centre for Occupational and Environmental Health, University of Manchester, Oxford Rd, Manchester M13 9PL, United Kingdom
| | - Per Gustavsson
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, SE-171 77 Stockholm, Sweden
| | - Henrik A Kolstad
- Department of Occupational Medicine, Danish Ramazzini Centre, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99. DK-8200 Aarhus, Denmark
| | - Anne Mette L Würtz
- Department of Public Health, Research Unit for Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Bartholins Allé 2 DK-8000 Aarhus, Denmark
| | - Bendik C Brinchmann
- National Institute of Occupational Health (STAMI), Gydas vei 8, 0363 Oslo, Norway
| | - Karin Broberg
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, SE-171 77 Stockholm, Sweden
| | - Stine Fossum
- National Institute of Occupational Health (STAMI), Gydas vei 8, 0363 Oslo, Norway
| | - Merete Bugge
- National Institute of Occupational Health (STAMI), Gydas vei 8, 0363 Oslo, Norway
| | - Mette Wulf Christensen
- Department of Occupational Medicine, Danish Ramazzini Centre, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99. DK-8200 Aarhus, Denmark
| | - Manosij Ghosh
- Department of Public Health and Primary Care, Centre for Environment & Health, KU Leuven, Kapucijnenvoer 7, box 7001 3000 Leuven, Belgium
| | - David Høyrup Christiansen
- Centre of Elective surgery, Region Hospital Silkeborg, Department of Clinical Medicine, Aarhus University, Falkevej 3. 8600 Silkeborg, Denmark
| | - Suzanne L Merkus
- National Institute of Occupational Health (STAMI), Gydas vei 8, 0363 Oslo, Norway
| | - Lars-Kristian Lunde
- National Institute of Occupational Health (STAMI), Gydas vei 8, 0363 Oslo, Norway
| | - Eira Viikari-Juntura
- Finnish Institute of Occupational Health, P.O. Box 40 FI-00032 TYÖTERVEYSLAITOS, Finland
| | - Annett Dalbøge
- Department of Occupational Medicine, Danish Ramazzini Centre, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99. DK-8200 Aarhus, Denmark
| | - Daniel Falkstedt
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, SE-171 77 Stockholm, Sweden
| | - Morten Vejs Willert
- Department of Occupational Medicine, Danish Ramazzini Centre, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99. DK-8200 Aarhus, Denmark
| | - Anke Huss
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM Utrecht, the Netherlands
| | - Else Toft Würtz
- Department of Occupational Medicine, Danish Ramazzini Centre, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99. DK-8200 Aarhus, Denmark
| | - Orianne Dumas
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Équipe d'Épidémiologie respiratoire intégrative, CESP, 94807, Villejuif, France
| | - Inge Brosbøl Iversen
- Department of Occupational Medicine, Danish Ramazzini Centre, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99. DK-8200 Aarhus, Denmark
| | - Mimmi Leite
- National Institute of Occupational Health (STAMI), Gydas vei 8, 0363 Oslo, Norway
| | - Christine Cramer
- Department of Public Health, Research Unit for Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Bartholins Allé 2 DK-8000 Aarhus, Denmark
- Department of Occupational Medicine, Danish Ramazzini Centre, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99. DK-8200 Aarhus, Denmark
| | - Jorunn Kirkeleit
- National Institute of Occupational Health (STAMI), Gydas vei 8, 0363 Oslo, Norway
- Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Årstadveien 17 Block D 5009 Bergen, Norway
| | - Cecilie Svanes
- Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Årstadveien 17 Block D 5009 Bergen, Norway
- Department of Occupational Medicine, Haukeland University Hospital, P.O box 1400 5021 Bergen, Norway
| | - Håkan Tinnerberg
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, SE-171 77 Stockholm, Sweden
- School of Public Health and Community Medicine, Gothenburg University, Huvudbyggnad Vasaparken, Universitetsplatsen 1, 405 30, Gothenburg, Sweden
| | - Judith Garcia-Aymerich
- Barcelona Institute for Global Health (ISGlobal), C/ Doctor Aiguader 88, 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), carrer de la Mercè 12, 08002 Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Av. Monforte de Lemos 3-5, 28029 Madrid, Spain
| | - Anne Vested
- Department of Public Health, Research Unit for Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Bartholins Allé 2 DK-8000 Aarhus, Denmark
| | - Pernilla Wiebert
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, SE-171 77 Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Region Stockholm, Torsplan, Solnavägen 4, 113 65 Stockholm, Sweden
| | | | - Lode Godderis
- Department of Public Health and Primary Care, Centre for Environment & Health, KU Leuven, Kapucijnenvoer 7, box 7001 3000 Leuven, Belgium
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM Utrecht, the Netherlands
| | - Anjoeka Pronk
- Netherlands Organisation for Applied Scientific Research TNO, Princetonlaan 6 3584 CB Utrecht, the Netherlands
| | - Ingrid Sivesind Mehlum
- National Institute of Occupational Health (STAMI), Gydas vei 8, 0363 Oslo, Norway
- Institute of Health and Society, University of Oslo, Kirkeveien 166, 0450 Oslo, Norway
- Department of Occupational and Environmental Medicine, Bispebjerg and Frederiksberg Hospitals, Copenhagen, Bispebjerg Bakke 23, DK-Copenhagen 2400 NV, Denmark
- Department of Public Health, University of Copenhagen, Øster Farimagsgade 5 1353 Copenhagen, Denmark
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Tsuji M, Hori H, Koriyama C, Tanaka R, Isse T, Ishihara Y, Ishizuka T, Hasegawa W, Goto M, Yatera K, Kunugita N, Kuwamura M, Sakuragi T, Yasumura Y, Yamamoto M, Ueno S. The effect of mask fit test on the association between the concentration of metals in biological samples and the results of time-weighted average personal exposure: A study on Japanese male welders. J Occup Health 2023; 65:e12399. [PMID: 37130744 PMCID: PMC10154167 DOI: 10.1002/1348-9585.12399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/13/2023] [Accepted: 03/29/2023] [Indexed: 05/04/2023] Open
Abstract
OBJECTIVES The mask fit test confirms whether the wearing condition of the wearer's face and the facepiece of the respirators are used appropriately. This study aimed to examine whether the results of the mask fit test affect the association between the concentration of metals related to welding fumes in biological samples and the results of time-weighted average (TWA) personal exposures. METHODS A total of 94 male welders were recruited. Blood and urine samples were obtained from all participants to measure the metal exposure levels. Using personal exposure measurements, the 8-h TWA (8 h-TWA) of respirable dust, TWA of respirable Mn, and 8-h TWA of respirable Mn were calculated. The mask fit test was performed using the quantitative method specified in the Japanese Industrial Standard T8150:2021. RESULTS Fifty-four participants (57%) passed the mask fit test. Only in the Fail group of the mask fit test, it was observed that blood Mn concentrations be positively associated with the results of TWA personal exposure after adjusting for multivariate factors (8-h TWA of respirable dust; coefficient, 0.066; standard error (SE), 0.028; P = 0.018, TWA of respirable Mn: coefficient, 0.048; SE, 0.020; P = 0.019, 8 h-TWA of respirable Mn: coefficient, 0.041; SE, 0.020; P = 0.041). CONCLUSIONS The results clarify that welders with high concentrations of welding fumes in their breathing air zone are exposed to dust and Mn if there is leaking air owing to the lack of fitness between respirators and the wearer's face when using human samples in Japan.
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Affiliation(s)
- Mayumi Tsuji
- Department of Environmental Health, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Hajime Hori
- Department of Occupational Hygiene, School of Health SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Chihaya Koriyama
- Department of Epidemiology and Preventive MedicineKagoshima University Graduate School of Medical and Dental SciencesKagoshimaJapan
| | - Rie Tanaka
- Department of Environmental Health, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Toyohi Isse
- Section of Postgraduate Guidance School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Yasuhiro Ishihara
- Program of Biomedical Science, Graduate School of Integrated Sciences for LifeHiroshima UniversityHiroshimaJapan
| | - Tsunetoshi Ishizuka
- Department of Occupational Toxicology, Institute of Industrial Ecological SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Wataru Hasegawa
- Department of Occupational Toxicology, Institute of Industrial Ecological SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Motohide Goto
- Department of Occupational Toxicology, Institute of Industrial Ecological SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Kazuhiro Yatera
- Department of Respiratory Medicine, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Naoki Kunugita
- Department of Occupational and Community Health Nursing, School of Health SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Mami Kuwamura
- Department of Environmental Health, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Toshihide Sakuragi
- Department of Environmental Health, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Yoshiko Yasumura
- Department of Environmental Health, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Megumi Yamamoto
- Department of Environment and Public HealthNational Institute for Minamata DiseaseKumamotoJapan
| | - Susumu Ueno
- Department of Occupational Toxicology, Institute of Industrial Ecological SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
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Proctor DM, Bhat V, Suh M, Reichert H, Jiang X, Thompson CM. Inhalation cancer risk assessment for environmental exposure to hexavalent chromium: Comparison of margin-of-exposure and linear extrapolation approaches. Regul Toxicol Pharmacol 2021; 124:104969. [PMID: 34089813 DOI: 10.1016/j.yrtph.2021.104969] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 05/24/2021] [Accepted: 05/26/2021] [Indexed: 10/21/2022]
Abstract
Hexavalent chromium [Cr(VI)] exists in the ambient air at low concentrations (average upperbound ~0.1 ng/m3) yet airborne concentrations typically exceed EPA's Regional Screening Level for residential exposure (0.012 ng/m3) and other similar benchmarks, which assume a mutagenic mode of action (MOA) and use low-dose linear risk assessment models. We reviewed Cr(VI) inhalation unit risk estimates developed by researchers and regulatory agencies for environmental and occupational exposures and the underlying epidemiologic data, updated a previously published MOA analysis, and conducted dose-response modeling of rodent carcinogenicity data to evaluate the need for alternative exposure-response data and risk assessment approaches. Current research supports the role of non-mutagenic key events in the MOA, with growing evidence for epigenetic modifiers. Animal data show a weak carcinogenic response, even at cytotoxic exposures, and highlight the uncertainties associated with the current epidemiological data used in risk assessment. Points of departure from occupational and animal studies were used to determine margins of exposure (MOEs). MOEs range from 1.5 E+3 to 3.3 E+6 with a median of 5 E+5, indicating that current environmental exposures to Cr(VI) in ambient air should be considered of low concern. In this comprehensive review, the divergent results from default linear and MOE assessments support the need for more relevant and robust epidemiologic data, additional mechanistic studies, and refined risk assessment strategies.
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Affiliation(s)
- Deborah M Proctor
- ToxStrategies, Inc, 27001 La Paz Rd, Suite 260, Mission Viejo, CA, 92691, USA.
| | | | - Mina Suh
- ToxStrategies, Inc, 27001 La Paz Rd, Suite 260, Mission Viejo, CA, 92691, USA
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