Anthroposomics: integrating anthropological methods into exposome research
- PMID: 41088221
- PMCID: PMC12522934
- DOI: 10.1186/s12940-025-01225-z
Anthroposomics: integrating anthropological methods into exposome research
Abstract
Background: Exposome research seeks to understand how cumulative environmental exposures across the life course shape health outcomes. Most studies however, adopt a unidirectional, top-down model, conceptualizing individuals as passive recipients of exposure, which overlooks the social, cultural, and behavioral dynamics through which people engage with their environments and thus underestimates the human agency of those exposed in mitigating exposures.
Main body : To address this gap, we introduce the concept of the anthroposome: the full range of micro-ecological practices through which individuals and communities sense, interpret, avoid, and manage environmental exposures in daily life. Drawing on anthropological theory and focusing on ethnographic methods, we outline five discovery-based approaches for integrating lived experience and social complexity into exposome science. These methods highlight how everyday practices influence exposure pathways and reveal context-specific risk management strategies conventional exposure researchers may miss. Capturing bidirectional human–environment interactions, anthroposomics repositions populations suffering from exposure as active agents who participate in shaping their exposure landscapes.
Conclusion: Anthroposomics expands the exposome paradigm by integrating ethnographic methods into exposome research, enhancing the paradigm's relevance, effectiveness, and equity. Anthroposomics offers a foundation for preventive, community-responsive, justice-oriented environmental health interventions and policy.
Keywords: Anthroposomics; Community health interventions; Ethnography; Exposome; Methods.
Conflict of interest statement
Declarations. Ethics approval and consent to participate: Not applicable. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.
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References
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- Wild CP. Complementing the genome with an exposome: the outstanding challenge of environmental exposure measurement in molecular epidemiology. Cancer Epidemiol Biomarkers Prev. 2005;14(8):1847–50. 10.1158/1055-9965.EPI-05-0456. - PubMed
-
- Just AC, Arfer KB, Rush J, Dorman M, Shtein A, Lyapustin A, et al. Advancing methodologies for applying machine learning and evaluating Spatiotemporal models of fine particulate matter (PM2.5) using satellite data over large regions. Atmos Environ. 2020;239:117649. 10.1016/j.atmosenv.2020.117649. - PMC - PubMed
-
- Vineis P, Robinson O, Chadeau-Hyam M, Dehghan A, Mudway I, Dagnino S. What is new in the exposome? Environ Int. 2020;143:105887. 10.1016/j.envint.2020.105887. - PubMed
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