Occupational exposure to radiofrequency electromagnetic fields and brain tumor risk: Application of the INTEROCC job-exposure matrix
Radiofrequency electromagnetic fields (RF-EMF, 100 kHz to 300 GHz) are classified by IARC as possibly carcinogenic to humans (Group 2B). This study evaluates the potential association between occupational RF-EMF exposure and brain tumor risk, utilizing for the first time, a RF-EMF job-exposure matri...
| Autores: | , , , , , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universitat Pompeu Fabra |
| Repositorio: | Repositorio Digital de la UPF |
| OAI Identifier: | oai:repositori.upf.edu:10230/68791 |
| Acceso en línea: | http://hdl.handle.net/10230/68791 http://dx.doi.org/10.1002/ijc.35182 |
| Access Level: | acceso abierto |
| Palabra clave: | INTEROCC Brain tumors Job‐exposure matrix Occupational exposure Radiofrequency electromagnetic fields |
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Occupational exposure to radiofrequency electromagnetic fields and brain tumor risk: Application of the INTEROCC job-exposure matrixTuruban, MaximeKromhout, HansVila, JavierVallbona-Vistós, MiquelVocht, Frank deBaldi, IsabelleRichardson, LesleyBenke, GezaKrewski, DanielParent, Marie-EliseSadetzki, SiegalSchlehofer, BrigitteSchüz, JoachimSiemiatycki, Jackvan Tongeren, MartieWoodward, AlistairCardis, ElisabethTurner, Michelle C.INTEROCCBrain tumorsJob‐exposure matrixOccupational exposureRadiofrequency electromagnetic fieldsRadiofrequency electromagnetic fields (RF-EMF, 100 kHz to 300 GHz) are classified by IARC as possibly carcinogenic to humans (Group 2B). This study evaluates the potential association between occupational RF-EMF exposure and brain tumor risk, utilizing for the first time, a RF-EMF job-exposure matrix (RF-JEM) developed in the multi-country INTEROCC case-control study. Cumulative and time-weighted average (TWA) occupational RF-EMF exposures were estimated for study participants based on lifetime job histories linked to the RF-JEM using three different methods: (1) by considering RF-EMF intensity among all exposed jobs, (2) by considering RF-EMF intensity among jobs with an exposure prevalence ≥ the median exposure prevalence of all exposed jobs, and (3) by considering RF-EMF intensity of jobs of participants who reported RF-EMF source use. Stratified conditional logistic regression models were used, considering various lag periods and exposure time windows defined a priori. Generally, no clear associations were found for glioma or meningioma risk. However, some statistically significant positive associations were observed including in the highest exposure categories for glioma for cumulative and TWA exposure in the 1- to 4-year time window for electric fields (E) in the first JEM application method (odds ratios [ORs] = 1.36, 95% confidence interval [95% CI] 1.08, 1.72 and 1.27, 95% CI 1.01, 1.59, respectively), as well as for meningioma for cumulative exposure in the 5- to 9-year time window for electric fields (E) in the third JEM application method (OR = 2.30, 95% CI 1.11, 4.78). We did not identify convincing associations between occupational RF-EMF exposure and risk of glioma or meningioma.Wiley202420242025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/68791http://dx.doi.org/10.1002/ijc.35182reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésInt J Cancer. 2025 Feb 1;156(3):538-51© 2024 The Author(s). International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/687912026-06-12T07:21:37Z |
| dc.title.none.fl_str_mv |
Occupational exposure to radiofrequency electromagnetic fields and brain tumor risk: Application of the INTEROCC job-exposure matrix |
| title |
Occupational exposure to radiofrequency electromagnetic fields and brain tumor risk: Application of the INTEROCC job-exposure matrix |
| spellingShingle |
Occupational exposure to radiofrequency electromagnetic fields and brain tumor risk: Application of the INTEROCC job-exposure matrix Turuban, Maxime INTEROCC Brain tumors Job‐exposure matrix Occupational exposure Radiofrequency electromagnetic fields |
| title_short |
Occupational exposure to radiofrequency electromagnetic fields and brain tumor risk: Application of the INTEROCC job-exposure matrix |
| title_full |
Occupational exposure to radiofrequency electromagnetic fields and brain tumor risk: Application of the INTEROCC job-exposure matrix |
| title_fullStr |
Occupational exposure to radiofrequency electromagnetic fields and brain tumor risk: Application of the INTEROCC job-exposure matrix |
| title_full_unstemmed |
Occupational exposure to radiofrequency electromagnetic fields and brain tumor risk: Application of the INTEROCC job-exposure matrix |
| title_sort |
Occupational exposure to radiofrequency electromagnetic fields and brain tumor risk: Application of the INTEROCC job-exposure matrix |
| dc.creator.none.fl_str_mv |
Turuban, Maxime Kromhout, Hans Vila, Javier Vallbona-Vistós, Miquel Vocht, Frank de Baldi, Isabelle Richardson, Lesley Benke, Geza Krewski, Daniel Parent, Marie-Elise Sadetzki, Siegal Schlehofer, Brigitte Schüz, Joachim Siemiatycki, Jack van Tongeren, Martie Woodward, Alistair Cardis, Elisabeth Turner, Michelle C. |
| author |
Turuban, Maxime |
| author_facet |
Turuban, Maxime Kromhout, Hans Vila, Javier Vallbona-Vistós, Miquel Vocht, Frank de Baldi, Isabelle Richardson, Lesley Benke, Geza Krewski, Daniel Parent, Marie-Elise Sadetzki, Siegal Schlehofer, Brigitte Schüz, Joachim Siemiatycki, Jack van Tongeren, Martie Woodward, Alistair Cardis, Elisabeth Turner, Michelle C. |
| author_role |
author |
| author2 |
Kromhout, Hans Vila, Javier Vallbona-Vistós, Miquel Vocht, Frank de Baldi, Isabelle Richardson, Lesley Benke, Geza Krewski, Daniel Parent, Marie-Elise Sadetzki, Siegal Schlehofer, Brigitte Schüz, Joachim Siemiatycki, Jack van Tongeren, Martie Woodward, Alistair Cardis, Elisabeth Turner, Michelle C. |
| author2_role |
author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
INTEROCC Brain tumors Job‐exposure matrix Occupational exposure Radiofrequency electromagnetic fields |
| topic |
INTEROCC Brain tumors Job‐exposure matrix Occupational exposure Radiofrequency electromagnetic fields |
| description |
Radiofrequency electromagnetic fields (RF-EMF, 100 kHz to 300 GHz) are classified by IARC as possibly carcinogenic to humans (Group 2B). This study evaluates the potential association between occupational RF-EMF exposure and brain tumor risk, utilizing for the first time, a RF-EMF job-exposure matrix (RF-JEM) developed in the multi-country INTEROCC case-control study. Cumulative and time-weighted average (TWA) occupational RF-EMF exposures were estimated for study participants based on lifetime job histories linked to the RF-JEM using three different methods: (1) by considering RF-EMF intensity among all exposed jobs, (2) by considering RF-EMF intensity among jobs with an exposure prevalence ≥ the median exposure prevalence of all exposed jobs, and (3) by considering RF-EMF intensity of jobs of participants who reported RF-EMF source use. Stratified conditional logistic regression models were used, considering various lag periods and exposure time windows defined a priori. Generally, no clear associations were found for glioma or meningioma risk. However, some statistically significant positive associations were observed including in the highest exposure categories for glioma for cumulative and TWA exposure in the 1- to 4-year time window for electric fields (E) in the first JEM application method (odds ratios [ORs] = 1.36, 95% confidence interval [95% CI] 1.08, 1.72 and 1.27, 95% CI 1.01, 1.59, respectively), as well as for meningioma for cumulative exposure in the 5- to 9-year time window for electric fields (E) in the third JEM application method (OR = 2.30, 95% CI 1.11, 4.78). We did not identify convincing associations between occupational RF-EMF exposure and risk of glioma or meningioma. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024 2024 2025 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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http://hdl.handle.net/10230/68791 http://dx.doi.org/10.1002/ijc.35182 |
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http://hdl.handle.net/10230/68791 http://dx.doi.org/10.1002/ijc.35182 |
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Inglés |
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Inglés |
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Int J Cancer. 2025 Feb 1;156(3):538-51 |
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http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf application/pdf |
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Wiley |
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Wiley |
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reponame:Repositorio Digital de la UPF instname:Universitat Pompeu Fabra |
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Universitat Pompeu Fabra |
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