IMPAIRED PULMONARY FUNCTION AS A RISK FACTOR FOR MORTALITY
Abstract
Prospective follow-up information obtained between 1976 and 1981 on mortality among 2539 individuals showed that pulmonary function impairment is a risk factor for short-term mortality, even when risk factors such as age, sex, and smoking are considered. Predicted risk curves for impaired individuals (those with forced expiratory volume in one second less than 68% of forced vital capacity) are consistently higher among all race-sex categories over all ages. Survival analysis using the proportional hazards model shows a steeper decline in estimated survival among individuals with poor pulmonary function compared to those with good pulmonary function, adjusted for age, race, and smoking effects. These observations are consistent with the concept that impairment of pulmonary function is a risk factor for morbidity and mortality from several nonrespiratory as well as respiratory diseases and that it acts by contributing to various pathogenic mechanisms in different organ systems.
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Pulmonary function impairment is a predictor for morbidity and mortality and may promote the development of multiple disease processes.
“Longitudinal studies have illustrated that pulmonary function impairment is a predictor for morbidity and mortality and may promote the development of multiple disease processes (1, 2).”
From Aging and Lung Disease (2020) · cites this paper as [2]
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Wang, T., Wang, W., Li, W., Duan, H., Xu, C., Tian, X., & Zhang, D. (2021) · Respiratory Research · doi:10.1186/s12931-021-01896-5 · Cited by 21 · see citing works
“Introduction Pulmonary function is determined as an important predictor of cardiovascular health [1] and mortality [2], which declines with increasing age after the third decade of lifetime [3].”
BackgroundKuhlmann, A., Ólafsdóttir, I. S., Lind, L., et al. (2013) · BMC Geriatrics · doi:10.1186/1471-2318-13-82 · Cited by 22 · see citing works
“Low lung function in elderly is associated with a shorter life expectancy [1,2] and morbidity [3-5].”
BackgroundSandén, A., Jarvholm, B., & Larsson, S. (1993) · Occupational and Environmental Medicine · doi:10.1136/oem.50.9.785 · Cited by 22 · see citing works
A dynamic population model of disease progression in COPD
Hoogendoorn, M., Mölken, M. R., Hoogenveen, R. T., et al. (2005) · European Respiratory Journal · doi:10.1183/090313936.05.00122004 · Cited by 22 · see citing works
Taneda, K., Namekata, T., Hughes, D., et al. (2004) · Clinical and Experimental Pharmacology and Physiology · doi:10.1111/j.1440-1681.2004.04116.x · Cited by 21 · see citing works
- Authors
- BEATY, T. H., COHEN, B. H., NEWILL, C. A., MENKERS, H. A., DIAMOND, E. L., & CHEN, C. J.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- BEATY, T. H.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1982-07
- Volume
- 116
- Issue
- 1
- Pages
- 102-113
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2097622753
- Cited by
- 149
- References
- 0
- Citations by year
- 2026: 4 · 2025: 2 · 2024: 3 · 2023: 1 · 2022: 2 · 2021: 4 · 2019: 1 · 2018: 4 · 2017: 3 · 2016: 1 · 2015: 2 · 2014: 3 · 2013: 2 · 2012: 4
- FWCI
- 4.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
- Social Sciences › Health › Health disparities and outcomes
- Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
- Keywords
- respiratory dysfunction, mortality risk, FEV1, forced vital capacity, short-term mortality, survival analysis, smoking, race and sex differences, respiratory mortality
- MeSH terms
- Adult, Epidemiologic Methods, Female, Follow-Up Studies, Humans, Lung Diseases, Obstructive, Male, Maryland, Middle Aged, Mortality, Regression Analysis, Risk, Time Factors
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.
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