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Air Pollution and Mortality in the Medicare Population
Open accessAbstract
BACKGROUNDStudies have shown that long-term exposure to air pollution increases mortality.However, evidence is limited for air-pollution levels below the most recent National Ambient Air Quality Standards.Previous studies involved predominantly urban populations and did not have the statistical power to estimate the health effects in underrepresented groups. METHODSWe constructed an open cohort of all Medicare beneficiaries (60,925,443 persons) in the continental United States from the years 2000 through 2012, with 460,310,521 person-years of follow-up.Annual averages of fine particulate matter (particles with a mass median aerodynamic diameter of less than 2.5 μm [PM 2.5 ]) and ozone were estimated according to the ZIP Code of residence for each enrollee with the use of previously validated prediction models.We estimated the risk of death associated with exposure to increases of 10 μg per cubic meter for PM 2.5 and 10 parts per billion (ppb) for ozone using a two-pollutant Cox proportionalhazards model that controlled for demographic characteristics, Medicaid eligibility, and area-level covariates. RESULTSIncreases of 10 μg per cubic meter in PM 2.5 and of 10 ppb in ozone were associated with increases in all-cause mortality of 7.3% (95% confidence interval [CI], 7.1 to 7.5) and 1.1% (95% CI, 1.0 to 1.2), respectively.When the analysis was restricted to person-years with exposure to PM 2.5 of less than 12 μg per cubic meter and ozone of less than 50 ppb, the same increases in PM 2.5 and ozone were associated with increases in the risk of death of 13.6% (95% CI, 13.1 to 14.1) and 1.0% (95% CI, 0.9 to 1.1), respectively.For PM 2.5 , the risk of death among men, blacks, and people with Medicaid eligibility was higher than that in the rest of the population. CONCLUSIONSIn the entire Medicare population, there was significant evidence of adverse effects related to exposure to PM 2.5 and ozone at concentrations below current national standards.This effect was most pronounced among self-identified racial minorities and people with low income.(Supported by the Health Effects Institute and others.)a bs tr ac t Air Pollution and Mortality in the Medicare Population
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“Other estimates of relative risk are even smaller; e.g., 1.02 (95% CI 1.01–1.04) [74] and 1.01 (95% CI 0.9–1.1) [75].”
From Environmental consequences of interacting effects of changes in stratospheric ozone, ultraviolet radiation, and climate: UNEP Environmental Effects Assessment Panel, Update 2024 (2025) · cites this paper as [75]
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“Di et al. (76) analyzed the entire US Medicare population of 60 million older adults from the years 2000 through 2012 and found a positive association between annual averages of ozone and all-cause mortality rate.”
From Ozone pollution: A Major health hazard worldwide (2019) · cites this paper as [76]
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Air Quality Index and Emergency Department Visits and Hospitalizations for Childhood Asthma
Rosser, F. J., Han, Y., Rothenberger, S. D., Forno, E., Mair, C., & Celedón, J. C. (2022) · Annals of the American Thoracic Society · doi:10.1513/annalsats.202105-539oc · Cited by 25
Wyatt, L. H., Weaver, A. M., Moyer, J., Schwartz, J. D., Di, Q., Díaz-Sánchez, D., Cascio, W. E., & Ward-Caviness, C. K. (2022) · American Heart Journal · doi:10.1016/j.ahj.2022.02.015 · Cited by 25
Jia, Z., Zhu, C., Rajendran, R. S., Xia, Q., Liu, K., & Zhang, Y. L. (2022) · Journal of Applied Toxicology · doi:10.1002/jat.4325 · Cited by 24
“5 caused cardiopulmonary mortality by 6–13% and overall mortality by 7.3% (Di et al., 2017).”
BackgroundInfluentialXi, Y., Richardson, D. B., Kshirsagar, A. V., Wade, T. J., Flythe, J. E., Whitsel, E. A., & Rappold, A. G. (2022) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2022.04.008 · Cited by 24
“12,39 Last, the use of discrete time hazards models allowed for controlling for individual-level time invariant factors together with time-varying factors to better estimate the health risk associated with fluctuation in ambient PM 2.5 .”
InfluentialKlompmaker, J. O., Laden, F., James, P., Sabath, M. B., Wu, X., Schwartz, J. D., Dominici, F., Zanobetti, A., & Hart, J. E. (2022) · Environmental Research · doi:10.1016/j.envres.2022.114684 · Cited by 24
“We temporally interpolated data for years with missing information using a moving average algorithm within each zip code, as described previously (Di et al., 2017).”
MethodChen, C., Chen, H., van Donkelaar, A., Burnett, R. T., Martin, R. V., Chen, L., Tjepkema, M., Kirby-McGregor, M., Li, Y., Kaufman, J. S., et al. (2023) · Environmental Health Perspectives · doi:10.1289/ehp11095 · Cited by 25
“…we used long-term PM 2 : 5 concentrations in the original scale in all models as a sensitivity analysis, which assumed the same log-linear PM 2 : 5 – mortality association used in other cohorts 4,7 instead of the supralinear one supported by previous studies of di ff erent cycles of the CCHS cohort.”
Air Pollution and Cardiac Diseases: A Review of Experimental Studies
Palacio, L. C., Pachajoa, D. C., Londoño, C. A. E., Sáiz, J., & Tobón, C. (2023) · Dose-Response · doi:10.1177/15593258231212793 · Cited by 26
“19 PM is considered one of the most severe air pollutants, generating a public health problem related to decreased life expectancy, 20,21 especially in people with heart and lung diseases.”
BackgroundTong, Y., Luo, K., Li, R., Pei, L., Li, A., Yang, M., & Xu, Q. (2018) · Atmospheric Environment · doi:10.1016/j.atmosenv.2018.05.034 · Cited by 24
Wu, X., Li, C., Mariyam, Z., Jiang, P., Zhou, M., Zeb, F., Haq, I. U., Chen, A., & Feng, Q. (2018) · Journal of Cellular Physiology · doi:10.1002/jcp.26600 · Cited by 24
“2019;234:475–485. wileyonlinelibrary.com/journal/jcp © 2018 Wiley Periodicals, Inc. Air pollution is getting more and more public attention because it is related with various diseases, such as atherosclerosis (Di et al., 2017).”
BackgroundQi, Q., Yu, F., Nair, A. A., Lau, S. S. S., Luo, G., Mithu, M. I. H., Zhang, W., Li, S., & Lin, S. (2024) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2024.134317 · Cited by 23
“[66] A large previous studies have also reported a significant association between long-term PM 2.5 exposure and increased mortality in older adults [7,56,67,68].”
InfluentialVanoli, J., Quint, J. K., Rajagopalan, S., Stafoggia, M., Al-Kindi, S. G., Mistry, M., Masselot, P., Libardi, A. D. L. C., Ng, C. F. S., Madaniyazi, L., et al. (2024) · Environment International · doi:10.1016/j.envint.2024.109011 · Cited by 23
Saliba, G., Subramanian, R., Bilsback, K. R., L’Orange, C., Volckens, J., Johnson, M. A., & Robinson, A. L. (2018) · Environmental Science & Technology · doi:10.1021/acs.est.8b05434 · Cited by 23
Henneman, L., Dedoussi, I. C., Casey, J. A., Choirat, C., Barrett, S. R. H., & Zigler, C. M. (2020) · Journal of Exposure Science & Environmental Epidemiology · doi:10.1038/s41370-020-0219-1 · Cited by 23
Li, X., Dallmann, T. R., May, A. A., & Presto, A. A. (2020) · Applied Sciences · doi:10.3390/app10072458 · Cited by 23
Roles of artificial intelligence in wellness, healthy living, and healthy status sensing
Cho, P. J., Singh, K., & Dunn, J. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-821259-2.00009-0 · Cited by 23
Lim, Y.-H., Oh, J., Han, C., Bae, H.-J., Kim, S., Jang, Y., Ha, E., & Hong, Y. (2020) · International Journal of Epidemiology · doi:10.1093/ije/dyaa146 · Cited by 23
Assessment of Nitrogen Oxide Emissions and San Joaquin Valley PM2.5 Impacts From Soils in California
Guo, L., Chen, J., Luo, D., Liu, S., Lee, H. J., Motallebi, N., Fong, A., Deng, J. J., Rasool, Q. Z., Avise, J. C., et al. (2020) · Journal of Geophysical Research Atmospheres · doi:10.1029/2020jd033304 · Cited by 23
“…(NOx), including nitric oxide (NO) and nitrogen dioxide (NO2), are precursors of particulate matter and ozone, both of which are important air pollutants that pose an adverse impact on human health as well as ecological functionality (Battye et al., 2017; Caplin et al., 2019; Di et al., 2017).”
BackgroundAir pollution and behavioral biases: Evidence from stock market anomalies
Nguyen, H. T., & Pham, M. H. (2020) · Journal of Behavioral and Experimental Finance · doi:10.1016/j.jbef.2020.100441 · Cited by 24
Kim, Y., Park, E. H., Ng, C. F. S., Chung, Y., Hashimoto, K., Tashiro, K., Hasunuma, H., Doi, M., Tamura, K., Moriuchi, H., et al. (2021) · Environmental Health · doi:10.1186/s12940-021-00796-x · Cited by 22
Effects of air pollution and habitual exercise on the risk of death: a longitudinal cohort study
Guo, C., Yu, T., Chang, L.-Y., Lin, C., Yang, H. T., Bo, Y., Zeng, Y., Tam, T., Lau, A. K. H., & Lao, X. Q. (2021) · Canadian Medical Association Journal · doi:10.1503/cmaj.202729 · Cited by 24
Josey, K., deSouza, P. N., Wu, X., Braun, D., & Nethery, R. C. (2022) · Journal of Agricultural Biological and Environmental Statistics · doi:10.1007/s13253-022-00508-z · Cited by 23
“These exposure predictions have been widely used in epidemiological studies (Di et al. 2017; Rhee et al. 2019; Wu et al. 2019; Yazdi et al. 2019; Wu et al. 2020; Danesh Yazdi et al. 2021).”
BackgroundInfluentialDey, T., Tyagi, P., Sabath, M. B., Kamareddine, L., Henneman, L., Braun, D., & Dominici, F. (2021) · Scientific Reports · doi:10.1038/s41598-021-02776-0 · Cited by 23
Tudor, C. D., & Şova, R. (2022) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi11040232 · Cited by 23
“Mounting empirical evidence recognizes polluting emissions as a leading factor for socio-economic indicators, including economic growth, mortality, and health variables [33–36].”
BackgroundLin, G.-Y., Lee, Y.-M., Tsai, C., & Lin, C.-Y. (2022) · Atmospheric Environment · doi:10.1016/j.atmosenv.2022.119304 · Cited by 23
Evaluation of PM10 concentration by using Mars and XGBOOST algorithms in Iğdır Province of Türkiye
Tırınk, S., & Öztürk, B. (2022) · International Journal of Environmental Science and Technology · doi:10.1007/s13762-022-04511-2 · Cited by 23
Time trends in the burden of stroke and subtypes attributable to PM2.5 in China from 1990 to 2019
Chen, H., Zhou, Z., Li, Z., Liang, S., Zhou, J., Zou, G., & Zhou, S. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.1026870 · Cited by 23
“5μm, has become one of the three risk factors resulting in more than 1% of DALYs globally (5, 6), causing 8.”
BackgroundChen, H., Quick, M., Kaufman, J. S., Chen, C., Kwong, J. C., van Donkelaar, A., Meng, J., Martin, R. V., Kim, J., Lavigne, É., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2209490119 · Cited by 27
“For example, in a large U.S. cohort study comprising 61 million Medicare recipients, living with lower SES consistently heightened the association of premature death with long-term exposure to PM2.”
BackgroundChen, G., Qian, Z. M., Zhang, J., Wang, X., Zhang, Z., Cai, M., Arnold, L. D., Abresch, C., Wang, C., Liu, Y., et al. (2024) · Environmental Health Perspectives · doi:10.1289/ehp14367 · Cited by 25
Into the Black Box: What Can Machine Learning Offer Environmental Health Research?
Schmidt, C. W. (2020) · Environmental Health Perspectives · doi:10.1289/ehp5878 · Cited by 24
“Building on this approach, Francesca Dominici, a biostatistician and codirector of the Data Science Initiative at Harvard University, has related machine learning–derived estimates of airborne PM2:5 concentrations to changes in mortality among older Americans.13 For that effort, she and her colleagues relied on a mode…”
Background
Metadata
- Authors
- Di, Q., Wang, Y., Zanobetti, A., Wang, Y., Koutrakis, P., Choirat, C., Dominici, F., & Schwartz, J. D.
- Affiliations
- Harvard University (US)
- ORCID
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2017-06-29
- Volume
- 376
- Issue
- 26
- Pages
- 2513-2522
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- PMC
- PMC5766848
- OpenAlex
- W2725857760
- Cited by
- 1,510
- References
- 32
- Citations by year
- 2026: 117 · 2025: 141 · 2024: 147 · 2023: 171 · 2022: 189 · 2021: 196 · 2020: 216 · 2019: 182 · 2018: 124 · 2017: 25
- FWCI
- 80.54
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Harvard University
- Institute for Quantitative Social Science, Harvard University
- National Cancer Institute (P01CA134294, R35CA197449)
- National Institute of Environmental Health Sciences (R21ES024012, R01ES024332, P30ES000002, R01ES026217, R21ES022585, R01ES012054)
- Topics
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Indoor Air Quality and Microbial Exposure
- Social Sciences › Sociology and Political Science › Environmental Justice and Health Disparities
- Keywords
- air pollution, PM2.5, ozone, all-cause mortality, Medicare beneficiaries, low-income populations, racial minorities, Medicaid eligibility, health disparities, cohort studies, dose-response relationship, sex differences in mortality, air pollution health effects, United States, California, New York State, New Jersey
- MeSH terms
- Aged, Air Pollutants, Air Pollution, Environmental Exposure, Female, Medicare, Humans, Male, Mortality, Ozone, Risk Factors, Sex Factors, United States, Cohort Studies, Proportional Hazards Models, Racial Groups, Particulate Matter, Mortality, Premature
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