PREVENTING OCCUPATIONAL DISEASE

Mini-symposium: An exposome approach in occupational epidemiology: experiences in the EPHOR project

Tuesday 7 October 2025, 11.00 – 12.30 Glow

Moderated by Manolis Kogevinas

Short Introduction: The EPHOR project: exposome in occupational epidemiology and overview of session
Anjoeka Pronk

The Exposome Project for Health and Occupational Research Night Shift Cohort (EPHOR-NIGHT)
Barbara Harding (presenter)

Gemma Castano-Vinyals, Karin Broberg, Maria Albin, Jelle Vlaanderen, Anne Helene Garde, Kirsten Nabe-Nielsen, Anjoeka Pronk, Manolis Kogevinas

Abstract

Objective: The EPHOR night shift study (EPHOR-NIGHT) provides population-based mechanistic evidence that will help prevent negative health effects of night shift work. The study was initiated to examine how the working-life exposome among night shift workers affects key body functions and biological pathways, and examine these mechanisms in relation to the development of cardiometabolic, mental health, and cognitive outcomes.

Material and Methods: Day and night shift workers from the transportation and health sector were sampled from four countries (Denmark, Spain, Sweden, The Netherlands). We employed a baseline questionnaire, repeated app-based daily questionnaires, exposure sensors, and biological samples to measure exposures and outcomes among participants. For mental health, we used the validated 9-item Patient Health Questionnaire (depression) and the validated 10- item Perceived Stress Scale (perceived stress). For immune marker levels, we measured several cytokines, chemokines and growth factors in plasma samples using the Luminex Cytokine Human Magnetic 30-Plex Panel. For the gut microbiome, stool samples were collected for 16S rRNA sequencing.

Results: The study includes 966 participants (850 women, 116 men) mostly in the health sector (96%). This presentation will summarize the design, sample characteristics and data types that have been collected in EPHOR-NIGHT. We will present a summary of findings on outcomes including mental health (higher levels of depression and anxiety among night shift workers compared to day shift workers), immune marker levels (lower levels of several immune markers among night shift workers) and gut microbiome findings (less diversity among night shift workers).

Conclusions: The baseline data collection and laboratory analyses are complete and the cohort is currently undergoing the first 2-year follow-up, developing translational activities and outreach to study participants. Findings from EPHOR-NIGHT will provide much needed additional mechanistic evidence linking night shift work to adverse health outcomes.

Short-term working-life exposome and cross-week changes in lung function among persons with (mild) respiratory symptoms
Anne Mette Lund Würtz (presenter)

Jorunn Kirkeleit , Sander Ruiter , Eugenio Traini , Fiona Carson , Miranda Loh , Will Mueller , Manosij Ghosh , Evi De Ryck , Cecilie Svanes , Toril Mørkve Knudsen , Theresa Møller Kynde , Kirsten Østergaard , Christer Janson , Andrei Malinovschi , Lars Modig , Mathias Holm , Rain Jogi , Þórarinn Gíslason , Judith García-Aymerich , Victoria Alcaraz-Serrano , Anjoeka Pronk , Vivi Schlünssen

Abstract

Objective: The impact of multiple occupational exposures on short-term changes in lung function has barely been investigated. In a subsample of the population-based, multicenter ECRHS study, we included persons with a job and mild respiratory symptoms. We aimed to investigate the association between the working-life exposome and cross-week changes in lung function (∆FEV1, ∆FVC and ∆FEV1/FVC).

Material and Methods: During a workweek, we used the EPHOR sensor system to sample personal high temporal resolution data for physical activity, sleep, temperature, light, UVB radiation, humidity, particle count, PM1, PM2.5, PM10, and noise. Personal exposure to environmental volatile organic compounds and endotoxin levels at home were assessed during the week. At the beginning and end of the workweek, metals (urine and blood), cotinine (blood) and polycyclic aromatic hydrocarbons (urine) were measured, and lung function measurements were conducted. Correlation analysis and machine learning approaches are used to identify exposures important to lung function changes. The selected exposures and clusters are investigated individually and combined in relation to cross-week changes in lung function, and different exposure metrics (e.g. mean, peaks).

Results: Analyses are ongoing and will be presented at the conference. Among 139 participants (47% females), the mean age was 59 years, and 9% were current smokers. A total of 51% held administrative/office jobs, 37% service/sales jobs, while 12% were manual workers. Overall, we observed a slight decrease in lung function during the workweek. The mean (SD) changes were ∆FEV1 = -25 (166)mL, ∆FVC = -3.1 (207)mL, and ∆FEV1/FVC = -0.0057 (0.025), with only minor differences between the three job groups.

Conclusion: Preliminary findings point to a slight cross-week decline in lung function, with considerable individual differences. This study will help disentangle the complex relationship between the short-term working-life exposome and respiratory impairment by considering the multitude of exposures, their temporality and relative importance. This project is part of the Exposome Project for Health and Occupational Research (EPHOR) funded by EU’s Horizon 2020, grant agreement number 874703.

EuroJEM: The development of European harmonized Job Exposure Matrices (JEMs)
Jenny Selander (presenter)

Anette Linnersjö, Ioannis Basinas, Theo Bodin, Hanifa Bouziri, Alexis Descatha , Daniel Falkstedt , Anne Helene Garde, Calvin Ge, Marcel Goldberg, Julio Hernando, Katarina Kjellberg , Henrik Kolstad, Ingrid Sivesind Mehlum , Karen Oude Hengel, Susan Peters, Vivi Schlünssen, Svetlana Solovieva, Zara Ann Stokholm, Mattias Sjöström , Håkan Tinnerberg, Else Toft Würtz, Martie Van Tongeren, Michelle Turner, Sanni Uuksulainen, Pernilla Wiebert, Anjoeka Pronk, Maria Albin

Abstract

Objective EuroJEM aims to provide comprehensive, state-of-the-art occupational exposure assessment data to support population-based studies across Europe.

Materials and Methods A systematic search was conducted to identify national Job-Exposure Matrices (JEMs) and relevant source data suitable for developing a unified European exposure framework. Three expert panels were established to lead harmonization efforts in chemical and particulate exposures, physical exposures, and psychosocial and ergonomic conditions. Where national JEMs were limited or absent, new matrices were developed. All partners contributed to aligning exposure assignments and occupational coding systems. EuroJEM 1.0 is coded using the European version of the International Standard Classification of Occupations, 1988 edition (ISCO-88(COM)) to ensure compatibility with cohort data.

Results The result is a multidimensional JEM covering a broad range of occupational exposures, including: Chemicals and particles Heat stress Noise Physical workload Precarious employment Psychosocial working conditions Solar UV radiation Airborne infectious agents A dedicated website (http://ki.se/en/imm/eurojem) provides access to EuroJEM’s content, usage guidelines, and tools for researchers and policymakers. The infrastructure is designed to evolve, with ongoing updates and new matrices added as new data and exposure risks emerge.

Conclusion EuroJEM 1.0 represents a major step forward in harmonizing occupational exposure data across Europe. Its integration of multiple exposure domains and use of standardized coding systems offers a valuable resource for occupational health research and policy. However, as current data are largely derived from Nordic and Western European sources, caution is advised when applying the matrix to Eastern European contexts. Continued development will enhance EuroJEM’s scope, ensuring its relevance and reliability across the continent.

Occupational exposome analyses: an example based on lung function decline in the ECRHS study
Wenxin Wan (presenter)

Theresa Møller Kynde, Lützen Portengen, Anne Mette Lund Würtz, Sheikh M. Alif, Benedicte Leynaert, Christer Janson, Caroline Jane Lodge, Cecilie Svanes, Deborah Jarvis, Geza Benke, Henrik Albert Kolstad, Hayat Bentouhami, Ioannis Basinas, Isabel Urrutia Landa, Judith Garcia-Aymerich, Jorunn Kirkeleit, Jesús Martínez-Moratalla Rovira, Jan-Paul Zock, Jenny Selander, Lidia Casas Ruiz, Lars Modig, Leopoldo Palacios Gómez, Maria Albin, Mathias Holm, Pascal Demoly, Thorarinn Gislason, Theodore Lytras, Victoria Alcaraz-Serrano, Valerie Siroux, Susan Peters, Hans Kromhout, Roel Vermeulen, Vivi Schlünssen, Anjoeka Pronk

Abstract

Background: Occupational exposures have been linked to accelerated decline in lung function. We used an exposome approach to explore the complex associations reflecting the multifactorial aetiology of longitudinal changes in respiratory function.

Methods: We analysed data from the European Community Respiratory Health Survey (ECRHS) (n=5,306), a prospective multicentre cohort with over 20 years of follow-up, to explore associations between occupational exposures and lung function decline. Participants’ job records were linked to multiple job-exposure matrices, covering 49 exposures classified into 11 groups. We applied the Super Learner algorithm to model the multipollutant relationships and to identify key exposure groups. G-computation was used to estimate the average causal effects (ACE). Models accounted for centre, age, sex, smoking, education, early-life factors, home environment, and urban exposures.

Results: Strong correlations were observed between exposures, particularly within specific sectors. Results from the Super Learner identified “Ergonomic Stressors”, “Physical Stressors”, “Gaseous Substances and Fumes”, and “Particulates and Fibrous Dusts” as potentially important predictors of excess forced expiratory volume in 1s (FEV1 decline, but not of decline in forced vital capacity (FVC) or the FEV1/FVC ratio. Estimated ACEs suggested potential exposure-dependent associations between these groups (excluding “Ergonomic Stressors”) and accelerated FEV1 decline, although confidence intervals overlapped the null. Associations were weaker for FVC and FEV1/FVC ratio.

Conclusion: We identified several exposure groups as potential candidates for accelerated longitudinal lung function decline, highlighting the value of advanced exposome analytics in uncovering complex occupational determinants of respiratory health.

The EU Exposome Project for Health and Occupational Research (EPHOR): overall experiences, lessons learnt and future prospects
Anjoeka Pronk (presenter)

Miranda Loh, IOM, United Kingdom; Maria Albin, Karolinska, Sweden; Jenny Selander, Karolinska, Sweden; Lode Godderis, KU Leuven, Belgium; Manosij Gosh, KU Leuven, Belgium; Roel Vermeulen, Utrecht University, Netherlands; Susan Peters, Utrecht University, Netherlands; Ingrid S Mehlum, STAMI, Norway; Michelle C Turner, ISGlobal, Spain; Vivi Schlünssen, Aarhus University, Denmark; Barbara Harding, ISGlobal, Spain; Svetlana Solovieva, FIOH, Finland; Tina Garani-Papadatos , PDA, Greece; Martie Van Tongeren, Manchester University, United Kingdom; Eelco Kuijpers, TNO, Netherlands; Jorunn Kirkeleit, STAMI, Norway; Wenxin Wan, UU, The Netherlands, Anne Mette Lund Würtz, Aarhus University, Aarhus, Denmark; Manolis Kogevinas, ISGlobal

Abstract

Objective The EPHOR project (2020–2025) aims to move beyond the conventional “one exposure – one outcome” paradigm by investigating complex working-life exposures in relation to a wide range of non-communicable diseases (NCDs). The goal is to lay the groundwork for cost-effective evidence-based prevention by generating: (i) Improved knowledge on how multiple exposures in the working-life exposome relate to NCDs, and; (ii) Innovative methods for collecting, storing, and interpreting exposome data in occupational settings.

Material and methods The project combines in-depth exposome investigations in two case studies: night shift work and respiratory disease with large-scale analyses of existing cohorts. New methods were developed to assess both external (e.g. sensor-based) and internal (e.g. noninvasive biological sampling) exposures. For cohort-based analyses, efforts included a comprehensive inventory of European cohorts, development of a harmonized job exposure matrix (EuroJEM), and methods for handling multiple exposures.

Results This presentation concludes the symposium by summarizing key lessons learned and outlining future prospects. A major achievement was demonstrating the feasibility—but also the complexity—of combined analyses across multiple existing cohorts as well as of using intensive measurement approaches to collect new exposome data. With respect to using existing cohorts, harmonization of methods and data is essential for producing meaningful results. These efforts can be complemented by smaller, targeted exposome studies that use intensive but feasible measurement approaches to test findings from cohorts and generate new hypotheses to be evaluated in larger datasets. This bidirectional strategy is a key recommendation. The EPHOR We-Expose Toolbox—developed for researchers, policymakers, and occupational health practitioners—as a resource for applying exposome approaches in occupational Health, will also be introduced.

Conclusion The EPHOR project highlights that while exposome research in occupational settings is complex, it can be feasible and informative. The tools and lessons from this project offer valuable guidance for shaping future occupational health research and policy.

Overall discussion: exposome approach in occupational epidemiology