Detecting and predicting the respiratory muscle dysfunction in patients with occupational respiratory diseases
Abstract
Objectives. To assess the association between anthropometric and functional parameters and respiratory muscle strength in patients with occupational respiratory diseases (ORD), identify predictors of respiratory muscle dysfunction (RMD) and develop predictive models for its early detection. Material and methods. The study included 102 patients with chronic occupational bronchitis (COB; n=34), occupational COPD (OCOPD; n=38), pneumoconiosis (Pn; n=30) and 23 healthy volunteers. Anthropometry, spirometry, the 6-minute walk test (6-MWT) and measurements of respiratory and peripheral muscle strength were performed. Bayesian analysis with Wald’s sequential test and logistic regression were used to predict the risk of RMD. Results. Significant reduction in both respiratory and peripheral muscle strength was observed in all ORD groups (p
Fields of Study & Subjects
Chronic Obstructive Pulmonary Disease (COPD) Research
Occupational and environmental lung diseases
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Publication details
- Journal / source
- Vestnik of Vitebsk State Medical University
- Volume
- 25
- Issue
- 1
- Pages
- 32–40
- Publication date
- 16 February 2026
- Language
- EN