The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Association Between Long-term Exposure to Ambient Air Pollution and Change in Quantitatively Assessed Emphysema and Lung Function
Open accessAbstract
Importance: While air pollutants at historical levels have been associated with cardiovascular and respiratory diseases, it is not known whether exposure to contemporary air pollutant concentrations is associated with progression of emphysema. Objective: To assess the longitudinal association of ambient ozone (O3), fine particulate matter (PM2.5), oxides of nitrogen (NOx), and black carbon exposure with change in percent emphysema assessed via computed tomographic (CT) imaging and lung function. Design, Setting, and Participants: This cohort study included participants from the Multi-Ethnic Study of Atherosclerosis (MESA) Air and Lung Studies conducted in 6 metropolitan regions of the United States, which included 6814 adults aged 45 to 84 years recruited between July 2000 and August 2002, and an additional 257 participants recruited from February 2005 to May 2007, with follow-up through November 2018. Exposures: Residence-specific air pollutant concentrations (O3, PM2.5, NOx, and black carbon) were estimated by validated spatiotemporal models incorporating cohort-specific monitoring, determined from 1999 through the end of follow-up. Main Outcomes and Measures: Percent emphysema, defined as the percent of lung pixels less than -950 Hounsfield units, was assessed up to 5 times per participant via cardiac CT scan (2000-2007) and equivalent regions on lung CT scans (2010-2018). Spirometry was performed up to 3 times per participant (2004-2018). Results: Among 7071 study participants (mean [range] age at recruitment, 60 [45-84] years; 3330 [47.1%] were men), 5780 were assigned outdoor residential air pollution concentrations in the year of their baseline examination and during the follow-up period and had at least 1 follow-up CT scan, and 2772 had at least 1 follow-up spirometric assessment, over a median of 10 years. Median percent emphysema was 3% at baseline and increased a mean of 0.58 percentage points per 10 years. Mean ambient concentrations of PM2.5 and NOx, but not O3, decreased substantially during follow-up. Ambient concentrations of O3, PM2.5, NOx, and black carbon at study baseline were significantly associated with greater increases in percent emphysema per 10 years (O3: 0.13 per 3 parts per billion [95% CI, 0.03-0.24]; PM2.5: 0.11 per 2 μg/m3 [95% CI, 0.03-0.19]; NOx: 0.06 per 10 parts per billion [95% CI, 0.01-0.12]; black carbon: 0.10 per 0.2 μg/m3 [95% CI, 0.01-0.18]). Ambient O3 and NOx concentrations, but not PM2.5 concentrations, during follow-up were also significantly associated with greater increases in percent emphysema. Ambient O3 concentrations, but not other pollutants, at baseline and during follow-up were significantly associated with a greater decline in forced expiratory volume in 1 second per 10 years (baseline: 13.41 mL per 3 parts per billion [95% CI, 0.7-26.1]; follow-up: 18.15 mL per 3 parts per billion [95% CI, 1.59-34.71]). Conclusions and Relevance: In this cohort study conducted between 2000 and 2018 in 6 US metropolitan regions, long-term exposure to ambient air pollutants was significantly associated with increasing emphysema assessed quantitatively using CT imaging and lung function.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Roth, G. A., Abate, D., Abate, K. H., Abay, S. M., Abbafati, C., Abbasi, N., Abbastabar, H., Abd-Allah, F., Abdela, J., Abdelalim, A., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)32203-7 · Cited by 8,600
Cohen, A. J., Brauer, M., Burnett, R., Anderson, H. R., Frostad, J., Estep, K., Balakrishnan, K., Brunekreef, B., Dandona, L., Dandona, R., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)30505-6 · Cited by 6,583
Vogelmeier, C. F., Criner, G. J., Martinez, F. J., Anzueto, A., Barnes, P. J., Bourbeau, J., Celli, B. R., Chen, R., Decramer, M., Fabbri, L. M., et al. (2017) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201701-0218pp · Cited by 3,187
Neighborhood of residence and incidence of coronary heart disease
Roux, A. V. D., Merkin, S. S., Arnett, D., Chambless, L., Massing, M., Nieto, F. J., Sorlie, P., Szklo, M., Tyroler, H. A., & Watson, R. L. (2001) · New England Journal of Medicine · doi:10.1056/nejm200107123450205 · Cited by 1,799
Self-citationComparison of computed density and macroscopic morphometry in pulmonary emphysema.
Gevenois, P. A., de Maertelaer, V, De Vuyst, P., Zanen, J., & Yernault, J. C. (1995) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.152.2.7633722 · Cited by 882
Carr, J. J., Nelson, J. C., Wong, N. D., McNitt-Gray, M., Arad, Y., Jacobs, D. R., Sidney, S., Bild, D. E., Williams, O. D., & Detrano, R. C. (2005) · Radiology · doi:10.1148/radiol.2341040439 · Cited by 853
International Journal of Chronic Obstructive Pulmonary Disease
(2020) · International Journal of COPD · doi:10.2147/copd · Cited by 722
Pope, C. A., Bhatnagar, A., McCracken, J. P., Abplanalp, W., Conklin, D. J., & O’Toole, T. (2016) · Circulation Research · doi:10.1161/circresaha.116.309279 · Cited by 692
IEEE Transactions on Medical Imaging
(2025) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.42 · Cited by 670
Kohansal, R., Martinez-Camblor, P., Agustí, A., Buist, A. S., Mannino, D. M., & Soriano, J. B. (2009) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200901-0047oc · Cited by 654
Cited by
Air pollution reduction and mortality benefit during the COVID-19 outbreak in China
Chen, K., Wang, M., Huang, C., Kinney, P. L., & Anastas, P. T. (2020) · The Lancet Planetary Health · doi:10.1016/s2542-5196(20)30107-8 · Cited by 435
Self-citationLiu, S., Jørgensen, J. T., Ljungman, P., Pershagen, G., Bellander, T., Leander, K., Magnusson, P. K. E., Rizzuto, D., Hvidtfeldt, U. A., Raaschou-Nielsen, O., et al. (2021) · Environment International · doi:10.1016/j.envint.2020.106267 · Cited by 115
Metadata
- Authors
- Wang, M., Aaron, C. P., Madrigano, J., Hoffman, E. A., Angelini, E., Yang, J., Laine, A., Vetterli, T. M., Kinney, P. L., Sampson, P. D., Sheppard, L. E., Szpiro, A. A., Adar, S. D., Kirwa, K., Smith, B., Lederer, D. J., Diez-Roux, A. V., Vedal, S., Kaufman, J. D., & Barr, R. G.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2019-08-13
- Volume
- 322
- Issue
- 6
- Pages
- 546
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2968610309
- Cited by
- 389
- References
- 40
- FWCI
- 18.53
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Association Between Long-term Exposure to Ambient Air Pollution and Change in Quantitatively Assessed Emphysema and Lung Function. https://app.cochat.ai/papers/10.1001/jama.2019.10255
- The paper
- Wang, M., Aaron, C. P., Madrigano, J., Hoffman, E. A., Angelini, E., Yang, J., Laine, A., Vetterli, T. M., Kinney, P. L., Sampson, P. D., Sheppard, L. E., Szpiro, A. A., Adar, S. D., Kirwa, K., Smith, B., Lederer, D. J., Diez-Roux, A. V., Vedal, S., Kaufman, J. D., & Barr, R. G. (2019). Association Between Long-term Exposure to Ambient Air Pollution and Change in Quantitatively Assessed Emphysema and Lung Function. JAMA. https://doi.org/10.1001/jama.2019.10255
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.