ArticleInternational journal of chronic obstructive pulmonary disease2025
Prevalence and Risk Factors of Spirometry-Defined Small Airway Dysfunction in the High-Risk Population for COPD in Yunnan Province, China: A Population Based Cross-Sectional Study.
Article in International journal of chronic obstructive pulmonary disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Characteristics of small airway disease in patients with HIV infection: insights from spirometry and impulse oscillometry.BMJ open respiratory research · 2026Article
- Early Functional Impairment in Smokers with CT-Detected Emphysema: Spirometry Provides Complementary Physiological Information in Lung Cancer Screening.Biomedicines · 2026Article
- Time-Frequency Respiratory Impedance Maps Enable Within-Breath Deep Learning for Small Airway Dysfunction Identification.Bioengineering (Basel, Switzerland) · 2026Article
- Exposure-response relationship between ambient PMFrontiers in public health · 2026Article
- Prevalence and Risk Factors of Chronic Obstructive Pulmonary Disease in Kazakhstan in a Nationwide Population-Based Epidemiological Study.International journal of chronic obstructive pulmonary disease · 2026Article
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9 authors.
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Abstract
Purpose: Small airway dysfunction (SAD) is a key early marker of chronic obstructive pulmonary disease (COPD) development. While many studies have examined the link between SAD and early COPD, the epidemiology of SAD in high-risk COPD populations remains understudied. Patients and Methods: This cross-sectional study utilized a multi-stage randomized cluster sampling method and recruited 11,095 adult residents aged ≥20 years from different elevations in Yunnan Province, China. High-risk individuals were identified using screening questionnaires and subsequently underwent pulmonary function tests. COPD was diagnosed based on post-bronchodilator test results. Spirometry-defined SAD was defined as the presence of at least two out of three indicators (MMEF, FEF50%, FEF75%) being below 65% of the predicted values. Multivariate logistic regression models were employed to examine the influencing factors of spirometry-defined SAD. Results: Of 2191 high-risk COPD subjects aged ≥40 years, 1186 (54.1%) had spirometry-defined SAD. Notably, 49.9% of spirometry-defined SAD cases had coexisting COPD, and 97.4% of COPD patients exhibited spirometry-defined SAD. Multivariable analysis identified the following risk factors for spirometry-defined SAD: advanced age, low BMI, limited education, childhood respiratory disease history, tobacco exposure, and residence at lower altitudes. Conclusion: The study found a high prevalence of spirometry-defined SAD in individuals at high risk for COPD, with nearly all COPD patients exhibiting spirometry-defined SAD in this cohort. Risk factors for spirometry-defined SAD included older age, low BMI, low education level, childhood respiratory disease history, tobacco exposure, and lower altitude residence.
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