Occupational exposome and lung function changes: a pooled analysis of two European longitudinal cohorts

Work-related exposures may strongly accelerate lung function decline. However, occupational drivers of lung function remain poorly understood. This study aimed to explore the impact of the occupational exposome using two population-based cohorts: ECRHS (European Community Respiratory Health Survey) and CONSTANCES, involving participants aged 20-44 and 18-69, followed for 20 and six years, respectively. Spirometry was performed at each visit in both studies. Based on participants’ lifetime job information, we assessed cumulative exposure to 51 distinct occupational exposures to construct the occupational exposome by linking with job-exposure matrices covering 31 chemical, 13 biological, and 7 physical exposures. We applied an Exposome-Wide Association Study (ExWAS) to determine single exposure-response associations between the cumulative exposure and forced expiratory volume in 1s (FEV<sub>­1</sub>)­, after adjusting for age, sex, centre, smoking, and early-life asthma in linear mixed-effect models. A total of 13,718 subjects were included in the pooled analyses. We identified 11 occupational exposures significantly associated with FEV<sub>1</sub>, after controlling for a 5% false discovery rate. Notably, endotoxin, fast breathing, and pesticides showed the strongest links to reduced lung function, with a lower FEV­<sub>1</sub>­ of 10 to 12 ml (95% CI: -18 to -4 ml) per 1 SD increase in exposure. Other identified exposures were heavy lifting, “vapours, gases, dust and fumes”, mineral dust, and metals. Our exposome analysis uncovered not only well-known airborne exposures but also less investigated factors. Future efforts will use multi-pollutant approaches to unravel possible complex interactions among exposures.

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Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.oa975
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1
Primary Topic
Health, Environment, Cognitive Aging
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article
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article

Occupational exposome and lung function changes: a pooled analysis of two European longitudinal cohorts

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1 citations
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article

Occupational exposome and lung function changes: a pooled analysis of two European longitudinal cohorts

Þórarinn Gíslason, Nicole Le Moual, Wenxin Wan, Cecilie Svanes, Orianne Dumas, Jenny Selander, Anjoeka Pronk, Lars Modig, Theodore Lytras, Jesús Martínez‐Moratalla Rovira, Leopoldo Palacios Gómez, Susan E. Peters, Pascal Demoly, Aziz Sheikh, Lützen Portengen, Marcel Goldberg, Roel C.H. Vermeulen, Deborah Jarvis, Judith García‐Aymerich, Lídia Casas, Christer Janson, Anne Mette Lund Würtz, Hayat Bentouhami, Ioannis Basinas, Jan‐Paul Zock, María Albin, Vivi Schlünssen, Caroline Lodge, Rachel Nadif, Mathias Holm, Bénédicte Leynaert, Hans Kromhout, Valérie Siroux, Victoria Alcaraz-Serrano, Henrik Albert Kolstad, Geza Benke, Theresa Møller Kynde, Isabelines Urrutia Landa, Jorunn Kierkeleit
article en
1 citations

Abstract

Work-related exposures may strongly accelerate lung function decline. However, occupational drivers of lung function remain poorly understood. This study aimed to explore the impact of the occupational exposome using two population-based cohorts: ECRHS (European Community Respiratory Health Survey) and CONSTANCES, involving participants aged 20-44 and 18-69, followed for 20 and six years, respectively. Spirometry was performed at each visit in both studies. Based on participants’ lifetime job information, we assessed cumulative exposure to 51 distinct occupational exposures to construct the occupational exposome by linking with job-exposure matrices covering 31 chemical, 13 biological, and 7 physical exposures. We applied an Exposome-Wide Association Study (ExWAS) to determine single exposure-response associations between the cumulative exposure and forced expiratory volume in 1s (FEV<sub>­1</sub>)­, after adjusting for age, sex, centre, smoking, and early-life asthma in linear mixed-effect models. A total of 13,718 subjects were included in the pooled analyses. We identified 11 occupational exposures significantly associated with FEV<sub>1</sub>, after controlling for a 5% false discovery rate. Notably, endotoxin, fast breathing, and pesticides showed the strongest links to reduced lung function, with a lower FEV­<sub>1</sub>­ of 10 to 12 ml (95% CI: -18 to -4 ml) per 1 SD increase in exposure. Other identified exposures were heavy lifting, “vapours, gases, dust and fumes”, mineral dust, and metals. Our exposome analysis uncovered not only well-known airborne exposures but also less investigated factors. Future efforts will use multi-pollutant approaches to unravel possible complex interactions among exposures.

Reykjavík University (IS), Uppsala University (SE), Centre National de la Recherche Scientifique (FR), National Institute of Occupational Health (NO), Uppsala University Hospital (SE), Netherlands Organisation for Applied Scientific Research (NL), University of Antwerp (BE), Inserm (FR), Andalusian Health Service (ES), The University of Melbourne (AU), Utrecht University (NL), Université de Versailles Saint-Quentin-en-Yvelines (FR), Université Paris-Saclay (FR), Aarhus University Hospital (DK), Karolinska Institutet (SE), LMU Klinikum (DE), Danish Ramazzini Center (DK), Lung Institute (US), Centre de recherche en Epidémiologie et Santé des Populations (FR), National Institute for Public Health and the Environment (NL), National University Hospital of Iceland (IS), Institute of Occupational Medicine (GB), Hôpital Arnaud de Villeneuve (FR), Barcelona Institute for Global Health (ES), Department of Public Health (MM), Complejo Hospitalario Universitario de Albacete (ES), Department of Public Health (US), University of Bergen (NO), Monash University (AU), Universidad de Huelva (ES), Ludwig-Maximilians-Universität München (DE), University of Gothenburg (SE), Université Grenoble Alpes (FR), Umeå University (SE)
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Health, Environment, Cognitive Aging
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