The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Ambient Pollution and Blood Pressure in Cardiac Rehabilitation Patients
Open accessAbstract
Background— Multiple studies have demonstrated a consistent association between ambient particulate air pollution and increased risk of hospital admissions and deaths for cardiovascular causes. We investigated the associations between fine particulate pollution (PM 2.5 ) and blood pressure during 631 repeated visits for cardiac rehabilitation in 62 Boston residents with cardiovascular disease. Methods and Results— Blood pressure, cardiac risk factor, and exercise data were abstracted from records of rehabilitation visits between 1999 and 2001. We applied mixed-effect models, controlling for body mass index, age, gender, number of visits, hour of day, and weather variables. For an increase from the 10th to the 90th percentile in mean PM 2.5 level during the 5 days before the visit (10.5 μg/m 3 ), there was a 2.8-mm Hg (95% CI, 0.1 to 5.5) increase in resting systolic, a 2.7-mm Hg (95% CI, 1.2 to 4.3) increase in resting diastolic, and a 2.7-mm Hg (95% CI, 1.0 to 4.5) increase in resting mean arterial blood pressure. The mean PM 2.5 level during the 2 preceding days (13.9 μg/m 3 ) was associated with a 7.0-mm Hg (95% CI, 2.3 to 12.1) increase in diastolic and a 4.7-mm Hg (95% CI, 0.5 to 9.1) increase in mean arterial blood pressure during exercise in persons with resting heart rate ≥70 bpm, but it was not associated with an increase in blood pressure during exercise in persons with heart rate <70 bpm. Conclusions— In patients with preexisting cardiac disease, particle pollution may contribute to increased risk of cardiac morbidity and mortality through short-term increases in systemic arterial vascular narrowing, as manifested by increased peripheral blood pressure.
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Cites
(1997) · Archives of Internal Medicine · doi:10.1001/archinte.1997.00440420033005 · Cited by 3,777
Cox, D. R., & Hinkley, D. V. (1974) · doi:10.1007/978-1-4899-2887-0 · Cited by 3,089
Wing, L. M. H., Reid, C. M., Ryan, P., Beilin, L. J., Brown, M. A., Jennings, G. L. R., Johnston, C. I., McNeil, J. J., Macdonald, G. J., Marley, J. E., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa021716 · Cited by 1,130
Increased plasma viscosity during an air pollution episode: a link to mortality?
Peters, A., Döring, A., Wichmann, H.-E., & Koenig, W. (1997) · The Lancet · doi:10.1016/s0140-6736(97)01211-7 · Cited by 706
Cited by
Brook, R. D., Rajagopalan, S., Pope, C. A., Brook, J. R., Bhatnagar, A., Diez-Roux, A. V., Holguin, F., Hong, Y., Luepker, R. V., Mittleman, M. A., et al. (2010) · Circulation · doi:10.1161/cir.0b013e3181dbece1 · Cited by 6,548
Indoor air pollution and blood pressure in adult women living in rural China
Baumgartner, J., Schauer, J. J., Ezzati, M., Lu, L., Cheng, C., Patz, J. A., & Bautista, L. E. (2011) · Environmental Health Perspectives · doi:10.1289/ehp.1003371 · Cited by 254
(2022) · PubMed Central · doi:10.6515/acs.202205_38(3).20220321a · Cited by 117
Metadata
- Authors
- Zanobetti, A., Canner, M. J., Stone, P. H., Schwartz, J., Sher, D., Eagan-Bengston, E., Gates, K. A., Hartley, L. H., Suh, H., & Gold, D. R.
- Venue
- Circulation
- Published
- 2004-10-12
- Volume
- 110
- Issue
- 15
- Pages
- 2184-2189
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2085444785
- Cited by
- 265
- References
- 4
- FWCI
- 10.05
- Type
- journal article
- Language
- en
- Open access
- bronze
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