IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-52117-8.html
   My bibliography  Save this article

Air pollution below US regulatory standards and cardiovascular diseases using a double negative control approach

Author

Listed:
  • Yichen Wang

    (Harvard T.H. Chan School of Public Health
    Yale University)

  • Mahdieh Danesh Yazdi

    (Stony Brook University)

  • Yaguang Wei

    (Harvard T.H. Chan School of Public Health
    Icahn School of Medicine at Mount Sinai)

  • Joel D. Schwartz

    (Harvard T.H. Chan School of Public Health
    Harvard T.H. Chan School of Public Health)

Abstract

Growing evidence suggests that long-term air pollution exposure is a risk factor for cardiovascular mortality and morbidity. However, few studies have investigated air pollution below current regulatory limits, and causal evidence is limited. We use a double negative control approach to examine the association between long-term exposure to air pollution at low concentration and cardiovascular hospitalizations among US Medicare beneficiaries aged ≥65 years between 2000 and 2016. The expected values of the negative outcome control (preceding-year hospitalizations) regressed on exposure and negative exposure control (subsequent-year exposure) are treated as a surrogate for omitted confounders. With analyses separately restricted to low-pollution areas (PM2.5

Suggested Citation

  • Yichen Wang & Mahdieh Danesh Yazdi & Yaguang Wei & Joel D. Schwartz, 2024. "Air pollution below US regulatory standards and cardiovascular diseases using a double negative control approach," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52117-8
    DOI: 10.1038/s41467-024-52117-8
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-52117-8
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-024-52117-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Liuhua Shi & Itai Kloog & Antonella Zanobetti & Pengfei Liu & Joel D. Schwartz, 2015. "Impacts of temperature and its variability on mortality in New England," Nature Climate Change, Nature, vol. 5(11), pages 988-991, November.
    2. Xu Shi & Wang Miao & Jennifer C. Nelson & Eric J. Tchetgen Tchetgen, 2020. "Multiply robust causal inference with double‐negative control adjustment for categorical unmeasured confounding," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(2), pages 521-540, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ioanna Kyprianou & Despina Serghides & Harriet Thomson & Salvatore Carlucci, 2023. "Learning from the Past: The Impacts of Economic Crises on Energy Poverty Mortality and Rural Vulnerability," Energies, MDPI, vol. 16(13), pages 1-13, July.
    2. Ting Ye & Ashkan Ertefaie & James Flory & Sean Hennessy & Dylan S. Small, 2023. "Instrumented difference‐in‐differences," Biometrics, The International Biometric Society, vol. 79(2), pages 569-581, June.
    3. Zhang, Jeffrey & Li, Wei & Miao, Wang & Tchetgen Tchetgen, Eric, 2023. "Proximal causal inference without uniqueness assumptions," Statistics & Probability Letters, Elsevier, vol. 198(C).
    4. Shaojie Wei & Chao Zhang & Zhi Geng & Shanshan Luo, 2024. "Identifiability and Estimation for Potential-Outcome Means with Misclassified Outcomes," Mathematics, MDPI, vol. 12(18), pages 1-19, September.
    5. Ingrid M. Lönnstedt & Terence P. Speed, 2023. "Remove unwanted variation retrieves unknown experimental designs," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 50(1), pages 89-101, March.
    6. Veronika Huber & Dolores Ibarreta & Katja Frieler, 2017. "Cold- and heat-related mortality: a cautionary note on current damage functions with net benefits from climate change," Climatic Change, Springer, vol. 142(3), pages 407-418, June.
    7. Hong Tang & Qian Di, 2022. "The Effect of Prenatal Exposure to Climate Anomaly on Adulthood Cognitive Function and Job Reputation," IJERPH, MDPI, vol. 19(5), pages 1-12, February.
    8. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
    9. Joseph C Avery, 2019. "Public Health: Effects of Climate Change and Socioeconomic Factors in Hawai'i," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 17(5), pages 13060-13063, May.
    10. AmirEmad Ghassami & Andrew Ying & Ilya Shpitser & Eric Tchetgen Tchetgen, 2021. "Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference," Papers 2104.02929, arXiv.org, revised Mar 2022.
    11. Jonathan Kelley, 2017. "Human Gains and Losses from Global Warming: Satisfaction with the Climate in the USA, Winter and Summer, North and South," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(1), pages 345-366, March.
    12. Eduardo L. Krüger & Anderson Spohr Nedel, 2022. "Investigating the Relationship between Climate and Hospital Admissions for Respiratory Diseases before and during the COVID-19 Pandemic in Brazil," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    13. Shixiao Zhang & Peisong Han & Changbao Wu, 2023. "Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference," International Statistical Review, International Statistical Institute, vol. 91(2), pages 165-192, August.
    14. Ruth McDermott-Levy & Madeline Scolio & Kabindra M. Shakya & Caroline H. Moore, 2021. "Factors That Influence Climate Change-Related Mortality in the United States: An Integrative Review," IJERPH, MDPI, vol. 18(15), pages 1-21, August.
    15. Chunli Zhao & Jianguo Chen & Peng Du & Hongyong Yuan, 2018. "Characteristics of Climate Change and Extreme Weather from 1951 to 2011 in China," IJERPH, MDPI, vol. 15(11), pages 1-13, November.
    16. Chunli Zhao & Jianguo Chen & Guofeng Su & Hongyong Yuan, 2020. "Assessment of the climate change adaptation capacity of urban agglomerations in China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(2), pages 221-236, February.
    17. José Joaquín Aguilera & Rune Korsholm Andersen & Jørn Toftum, 2019. "Prediction of Indoor Air Temperature Using Weather Data and Simple Building Descriptors," IJERPH, MDPI, vol. 16(22), pages 1-20, November.
    18. Obradovich, Nicholas & Fowler, James H., 2017. "Climate change may alter human physical activity patterns," Scholarly Articles 36874928, Harvard Kennedy School of Government.
    19. Zhichao Jiang & Shu Yang & Peng Ding, 2022. "Multiply robust estimation of causal effects under principal ignorability," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(4), pages 1423-1445, September.
    20. Guido Imbens & Nathan Kallus & Xiaojie Mao & Yuhao Wang, 2022. "Long-term Causal Inference Under Persistent Confounding via Data Combination," Papers 2202.07234, arXiv.org, revised Aug 2024.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52117-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.