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Cited by 189

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Trends in COPD Morbidity and Mortality in the United States

Feinleib, Manning, Rosenberg, Harry M, Collins, John Gary, Delozier, James E., Pokras, Robert, Chevarley, Frances M.·1989·American Review of Respiratory Disease

Abstract

This paper describes patterns and trends in COPD morbidity and mortality based on data from several data systems of the National Center for Health Statistics (NCHS), as follows: mortality data from the National Vital Statistics System; and morbidity data from the National Health Interview Survey, the National Hospital Discharge Survey, and the National Ambulatory Medical Care Survey. The paper focuses on the period 1979 to 1985 and the age groups 55 years old and over. old and over. Data are also presented separately for men and women. In addition to presenting rates for prevalence, hospital discharges, office visits, and deaths on a population basis, the paper also presents rates and analyses on a per case basis, using a "pseudo-natural history model." This paper also describes some of the methodological issues associated with analyzing comparative data from several NCHS data systems.

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Metadata

Authors
Feinleib, M., Rosenberg, H. M., Collins, J. G., Delozier, J. E., Pokras, R., & Chevarley, F. M.
Venue
American Review of Respiratory Disease
Published
1989-09
Volume
140
Issue
3_pt_2
Pages
S9-S18
ISSN
0003-0805 (ISSN-L)
OpenAlex
W2012772633
Cited by
189
References
0
FWCI
8.80
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Trends in COPD Morbidity and Mortality in the United States. https://app.cochat.ai/papers/10.1164/ajrccm/140.3_pt_2.s9
The paper
Feinleib, M., Rosenberg, H. M., Collins, J. G., Delozier, J. E., Pokras, R., & Chevarley, F. M. (1989). Trends in COPD Morbidity and Mortality in the United States. American Review of Respiratory Disease. https://doi.org/10.1164/ajrccm/140.3_pt_2.s9

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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.