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A national cohort study of long-term exposure to PM2.5 trace element components and depression in older adults in the USA

Abstract

Given the increasing concerns about the mental health impacts of environmental pollutants, fine particulate matter (PM2.5) is notably significant due to its widespread presence and potential neurological effects. However, research exploring the association between PM2.5-bound trace elements and depression remains sparse. This nationwide cohort study investigates the long-term effects of exposure to PM2.5 metal components—specifically copper (Cu) and zinc (Zn)—on depression among older US adults, analyzing data from over 30 million Medicare beneficiaries spanning 2000 to 2018. Our findings reveal a strong link between extended exposure to PM2.5-bound Cu and Zn and higher depression risks, with the most significant effects observed among all studied metals. These two metals consistently showed the strongest associations across multiple models. Specifically, exposure to Cu and Zn, primarily from non-tailpipe sources such as brake and tire wear, was associated with increased depression rates of 3.5% and 2.2%, respectively, in individuals aged 65 years and older. These results underscore the necessity for targeted public health interventions and policies that address the mental health impacts of specific environmental contaminants, especially in vulnerable populations such as the elderly, and highlight the importance of considering environmental factors within the broader context of mental health and aging.

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Fig. 1: PM2.5 trace element components.
Fig. 2: Averaged chemical composition of PM2.5.
Fig. 3: HRs of depression associated with an IQR increase in 1-year prior exposure to PM2.5 total mass and its trace element components, including Br, Ca, Cu, Fe, K, Ni, Pb, Si, V and Zn.
Fig. 4: Concentration–response curves for 10 PM2.5 trace element components and depression, derived from single-component models.

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Data availability

Medicare claims data used in this study (Medicare Chronic Conditions Warehouse (CCW) and Medicare Denominator File) are available from the US Centers for Medicare and Medicaid Services (CMS) but are not publicly available due to privacy and confidentiality restrictions. Researchers can apply for access through the CMS Data Request Center (https://resdac.org/cms-data/request/cms-data-request-center). PM2.5 total mass and trace element component concentration data are publicly available from the NASA Socioeconomic Data and Applications Center (SEDAC) at https://sedac.ciesin.columbia.edu.

References

  1. Kioumourtzoglou, M. A. et al. The association between air pollution and onset of depression among middle-aged and older women. Am. J. Epidemiol. 185, 801–809 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  2. Blazer, D., Hughes, D. C. & George, L. K. The epidemiology of depression in an elderly community population. Gerontologist 27, 281–287 (1987).

    Article  PubMed  Google Scholar 

  3. Blazer, D. G. Depression in late life: review and commentary. J. Gerontol. A 58, 249–265 (2003).

    Article  Google Scholar 

  4. Wang, S. et al. Long-term trends in the incidence of depressive disorders in China, the United States, India and globally: a comparative study from 1990 to 2019. Front. Psychol. 13, 1066706 (2022).

    Article  PubMed  Google Scholar 

  5. Fiske, A., Wetherell, J. L. & Gatz, M. Depression in older adults. Annu. Rev. Clin. Psychol. 5, 363–389 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  6. Vasiliadis, H. M. et al. The excess healthcare costs associated with depression and anxiety in elderly living in the community. Am. J. Geriatr. Psychiatry 21, 536–548 (2013).

    Article  PubMed  Google Scholar 

  7. Hegeman, J. M., Kok, R. M., van der Mast, R. C. & Giltay, E. J. Phenomenology of depression in older compared with younger adults: meta-analysis. Br. J. Psychiatry 200, 275–281 (2012).

    Article  PubMed  Google Scholar 

  8. Alexopoulos, G. S. Mechanisms and treatment of late-life depression. Transl. Psychiatry 9, 188 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  9. Szymkowicz, S. M., Gerlach, A. R., Homiack, D. & Taylor, W. D. Biological factors influencing depression in later life: role of aging processes and treatment implications. Transl. Psychiatry 13, 160 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  10. Kioumourtzoglou, M. A. Identifying modifiable risk factors of mental health disorders—the importance of urban environmental exposures. JAMA Psychiatry 76, 569–570 (2019).

    Article  PubMed  Google Scholar 

  11. Borroni, E., Pesatori, A. C., Bollati, V., Buoli, M. & Carugno, M. Air pollution exposure and depression: a comprehensive updated systematic review and meta-analysis. Environ. Pollut. 292, 118245 (2022).

    Article  PubMed  Google Scholar 

  12. Zhu, Q., Liu, Y. & Hasheminassab, S. Long-term source apportionment of PM2.5 across the contiguous United States (2000–2019) using a multilinear engine model. J. Hazard. Mater. 472, 134550 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  13. Overview of Particulate Matter (PM) Air Quality in the United States (US EPA, 2023); https://www.epa.gov/system/files/documents/2022-08/PM_2021.pdf.

  14. Li, B., Ma, Y., Zhou, Y. & Chai, E. Research progress of different components of PM2.5 and ischemic stroke. Sci. Rep. 13, 15965 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  15. Zhang, L., Jin, X., Johnson, A. C. & Giesy, J. P. Hazard posed by metals and As in PM2.5 in air of five megacities in the Beijing–Tianjin–Hebei region of China during APEC. Environ. Sci. Pollut. Res. Int. 23, 17603–17612 (2016).

    Article  PubMed  Google Scholar 

  16. Liu, L. et al. Metals and oxidative potential in urban particulate matter influence systemic inflammatory and neural biomarkers: a controlled exposure study. Environ. Int. 121, 1331–1340 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  17. Lopresti, A. L., Maker, G. L., Hood, S. D. & Drummond, P. D. A review of peripheral biomarkers in major depression: the potential of inflammatory and oxidative stress biomarkers. Prog. Neuropsychopharmacol. Biol. Psychiatry 48, 102–111 (2014).

    Article  PubMed  Google Scholar 

  18. Chen, J., Song, W. & Zhang, W. The emerging role of copper in depression. Front. Neurosci. 17, 1230404 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  19. Orisakwe, O. E. The role of lead and cadmium in psychiatry. N. Am. J. Med. Sci. 6, 370–376 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  20. Przybyłkowski, A. et al. Neurochemical and behavioral characteristics of toxic milk mice: an animal model of Wilson’s disease. Neurochem. Res. 38, 2037–2045 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  21. Chen, L. et al. Homeostasis and metabolism of iron and other metal ions in neurodegenerative diseases. Signal Transduct. Target. Ther. 10, 31 (2025).

    Article  PubMed  PubMed Central  Google Scholar 

  22. Sanders, T., Liu, Y., Buchner, V. & Tchounwou, P. B. Neurotoxic effects and biomarkers of lead exposure: a review. Rev. Environ. Health 24, 15–45 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  23. Gonzalez, R. O. et al. New insights from zinc and copper isotopic compositions into the sources of atmospheric particulate matter from two major European cities. Environ. Sci. Technol. 50, 9816–9824 (2016).

    Article  PubMed  Google Scholar 

  24. Carey, J. The other benefit of electric vehicles. Proc. Natl Acad. Sci. USA 120, e2220923120 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  25. Korsiak, J. et al. Air pollution and pediatric respiratory hospitalizations: effect modification by particle constituents and oxidative potential. Am. J. Respir. Crit. Care Med. 206, 1370–1378 (2022).

    Article  PubMed  Google Scholar 

  26. Wang, Y. S., Chang, L. C. & Chang, F. J. Explore regional PM2.5 features and compositions causing health effects in Taiwan. Environ. Manage. 67, 176–191 (2021).

    Article  PubMed  Google Scholar 

  27. Shi, W. et al. Depression and anxiety associated with exposure to fine particulate matter constituents: a cross-sectional study in North China. Environ. Sci. Technol. 54, 16006–16016 (2020).

    Article  PubMed  Google Scholar 

  28. Qiu, T. et al. Short-term exposures to PM2.5, PM2.5 chemical components, and antenatal depression: exploring the mediating roles of gut microbiota and fecal short-chain fatty acids. Ecotoxicol. Environ. Saf. 277, 116398 (2024).

    Article  PubMed  Google Scholar 

  29. Qiu, X. et al. Fine particle components and risk of psychiatric hospitalization in the US. Sci. Total Environ. 849, 157934 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  30. Citrome, L. et al. Prevalence, treatment patterns, and stay characteristics associated with hospitalizations for major depressive disorder. J. Affect. Disord. 249, 378–384 (2019).

    Article  PubMed  Google Scholar 

  31. Straffelini, G., Ciudin, R., Ciotti, A. & Gialanella, S. Present knowledge and perspectives on the role of copper in brake materials and related environmental issues: a critical assessment. Environ. Pollut. 207, 211–219 (2015).

    Article  PubMed  Google Scholar 

  32. Harrison, R. M., Jones, A. M., Gietl, J., Yin, J. & Green, D. C. Estimation of the contributions of brake dust, tire wear, and resuspension to nonexhaust traffic particles derived from atmospheric measurements. Environ. Sci. Technol. 46, 6523–6529 (2012).

    Article  PubMed  Google Scholar 

  33. Denier van der Gon, H. A. C., Hulskotte, J. H. J., Visschedijk, A. J. H. & Schaap, M. A revised estimate of copper emissions from road transport in UNECE-Europe and its impact on predicted copper concentrations. Atmos. Environ. 41, 8697–8710 (2007).

    Article  Google Scholar 

  34. Review of Current Knowledge on Non-exhaust Emissions from Conventional and Electric Vehicles (EPRI, 2022).

  35. Woo, S.-H., Jang, H., Lee, S.-B. & Lee, S. Comparison of total PM emissions emitted from electric and internal combustion engine vehicles: an experimental analysis. Sci. Total Environ. 842, 156961 (2022).

    Article  PubMed  Google Scholar 

  36. One Million Electric Vehicles by 2015 (Department of Energy, 2011).

  37. Gerlofs-Nijland, M. E. et al. Inhalation toxicity profiles of particulate matter: a comparison between brake wear with other sources of emission. Inhal. Toxicol. 31, 89–98 (2019).

    Article  PubMed  Google Scholar 

  38. Stojanovic, N., Glisovic, J., Abdullah, O. I., Belhocine, A. & Grujic, I. Particle formation due to brake wear, influence on the people health and measures for their reduction: a review. Environ. Sci. Pollut. Res. 29, 9606–9625 (2022).

    Article  Google Scholar 

  39. Thomas, A. E. et al. Automotive braking is a source of highly charged aerosol particles. Proc. Natl Acad. Sci. USA 121, e2313897121 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  40. Grubman, A. & White, A. R. Copper as a key regulator of cell signalling pathways. Expert Rev. Mol. Med. 16, e11 (2014).

    Article  PubMed  Google Scholar 

  41. Hongrong, W. et al. BMI modifies the association between depression symptoms and serum copper levels. Biol. Trace Elem. Res. 201, 4216–4229 (2023).

    Article  PubMed  Google Scholar 

  42. Cardno ChemRisk. State of Knowledge Report: Contribution of Zinc to Watersheds from Building Materials, Consumer Products, Tires and Other Sources (USTMA, 2018).

  43. Bouredji, A., Pourchez, J. & Forest, V. Biological effects of tire and road wear particles (TRWP) assessed by in vitro and in vivo studies—a systematic review. Sci. Total Environ. 894, 164989 (2023).

    Article  PubMed  Google Scholar 

  44. Baensch-Baltruschat, B., Kocher, B., Stock, F. & Reifferscheid, G. Tyre and road wear particles (TRWP)—a review of generation, properties, emissions, human health risk, ecotoxicity, and fate in the environment. Sci. Total Environ. 733, 137823 (2020).

    Article  PubMed  Google Scholar 

  45. Cakmak, S. et al. Metal composition of fine particulate air pollution and acute changes in cardiorespiratory physiology. Environ. Pollut. 189, 208–214 (2014).

    Article  PubMed  Google Scholar 

  46. Toxicological Profile for Zinc (Agency for Toxic Substances and Disease Registry, 2005).

  47. Carlson, K. H. The Effects of Zinc Ammonium Sulfate on Rabbit Alveolar Macrophages (The University of Arizona, 1979); https://repository.arizona.edu/handle/10150/557324

  48. O'Day, P. A., Pattammattel, A., Aronstein, P., Leppert, V. J. & Forman, H. J. Iron speciation in respirable particulate matter and implications for human health. Environ. Sci. Technol. 56, 7006–7016 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  49. Fussell, J. C. et al. A review of road traffic-derived non-exhaust particles: emissions, physicochemical characteristics, health risks, and mitigation measures. Environ. Sci. Technol. 56, 6813–6835 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  50. Zhou, Y. et al. Can global warming bring more dust? Clim. Dyn. 61, 2693–2715 (2023).

    Article  Google Scholar 

  51. Khan, R. K. & Strand, M. A. Road dust and its effect on human health: a literature review. Epidemiol. Health 40, e2018013 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  52. Lee, W., Lee, J. G., Yoon, J. H. & Lee, J. H. Relationship between occupational dust exposure levels and mental health symptoms among Korean workers. PLoS ONE 15, e0228853 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  53. Jellinger, K. A. in International Review of Neurobiology Vol. 110 (eds. Bhatia, K. P. & Schneider, S. A.) 1–47 (Academic Press, 2013).

  54. Yu, P. et al. Heavy metal content and health risk assessment of atmospheric particles in China: a meta-analysis. Sci. Total Environ. 867, 161556 (2023).

    Article  PubMed  Google Scholar 

  55. Maciejczyk, P., Chen, L.-C. & Thurston, G. The role of fossil fuel combustion metals in PM2.5 air pollution health associations. Atmosphere 12, 1086 (2021).

    Article  Google Scholar 

  56. Cybulska, A. M. et al. Are cadmium and lead levels linked to the development of anxiety and depression? A systematic review of observational studies. Ecotoxicol. Environ. Saf. 216, 112211 (2021).

    Article  PubMed  Google Scholar 

  57. Zhang, Q. et al. The acute effects of fine particulate matter constituents on circulating inflammatory biomarkers in healthy adults. Sci. Total Environ. 707, 135989 (2020).

    Article  PubMed  Google Scholar 

  58. Xia, B. et al. Personal exposure to PM2.5 constituents associated with gestational blood pressure and endothelial dysfunction. Environ. Pollut. 250, 346–356 (2019).

    Article  PubMed  Google Scholar 

  59. Bouchard, M. F. et al. Blood lead levels and major depressive disorder, panic disorder, and generalized anxiety disorder in US young adults. Arch. Gen. Psychiatry 66, 1313–1319 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  60. Thangavel, P., Park, D. & Lee, Y. C. Recent insights into particulate matter (PM2.5)-mediated toxicity in humans: an overview. Int. J. Environ. Res. Public Health 19, 7511 (2022).

  61. Jinghui, W. et al. Prevalence of depression and depressive symptoms among outpatients: a systematic review and meta-analysis. BMJ Open 7, e017173 (2017).

    Article  Google Scholar 

  62. Mohamed, I. I., Ahmad, H. E. K., Hassaan, S. H. & Hassan, S. M. Assessment of anxiety and depression among substance use disorder patients: a case-control study. Middle East Curr. Psychiatry 27, 22 (2020).

    Article  Google Scholar 

  63. Schouten, M. J. E. et al. Alcohol use as a predictor of the course of major depressive disorder: a prospective population-based study. Epidemiol. Psychiatr. Sci. 32, e14 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  64. Yadav, K. & Lewis, R. J. Immortal time bias in observational studies. JAMA 325, 686–687 (2021).

    Article  PubMed  Google Scholar 

  65. Amini, H. et al. Hyperlocal super-learned PM2.5 components across the contiguous US. Research Square https://doi.org/10.21203/rs.3.rs-1745433/v1 (2022).

  66. Keil, A. P. et al. A quantile-based g-computation approach to addressing the effects of exposure mixtures. Environ. Health Perspect. 128, 47004 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We thank the Centers for Medicare and Medicaid Services for providing access to Medicare claims data used in this study. This work was supported by the National Institute on Aging (grant R01AG074357 K.S.) and the National Institute of Environmental Health Sciences (1R01ES034175 Y.L.).

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H.H., Y.L. and K.S. designed the research; H.H., Y.D. and K.X. performed the research; H.H., Y.D. and K.X. analyzed the data; and H.H. wrote the paper.

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Correspondence to Hua Hao, Yang Liu or Kyle Steenland.

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Hao, H., Deng, Y., Xu, K. et al. A national cohort study of long-term exposure to PM2.5 trace element components and depression in older adults in the USA. Nat. Mental Health 4, 377–386 (2026). https://doi.org/10.1038/s44220-025-00524-1

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