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Association between contextual and clinical factors and disability in people with chronic obstructive pulmonary disease.
- Source :
- Physiotherapy Theory & Practice; Oct2020, Vol. 36 Issue 10, p1137-1144, 8p, 3 Charts
- Publication Year :
- 2020
-
Abstract
- Background: Chronic obstructive pulmonary disease (COPD) develops as a multifaceted and complex disorder, with clinical and functional repercussions. Objective: To investigate the association among contextual factors (personal and environmental) and clinical features and the disability of COPD patients, with emphasis on activity and social participation. Methods: A cross-sectional study with stable COPD participants (n = 47) was conducted to assess personal and clinical characteristics, activity of daily living using the London Chest Activity of Daily Living scale (LCADL), disability by the World Health Organization Disability Assessment Schedule 2.0 (WHODAS), and environmental factors by the Craig Hospital Inventory of Environmental Factors (CHIEF). Statistical analysis was performed by the multivariate method. Results: In the LCADL predictive analysis, the variables forced expiratory volume in 1 second (FEV<subscript>1</subscript>), dyspnea levels 3–4 by the modified Medical Research Council scale (mMRC), and active level of regular physical activity were included in the final model (adjusted R<superscript>2</superscript> = 0.523). In addition, WHODAS was influenced by CHIEF physical structure score and mMRC 1–2 and mMRC 3–4 grades (adjusted R<superscript>2</superscript> = 0.500). Conclusions: Disability is a complex in COPD patients and encompasses a prominent role of dyspnea levels in the prediction of activity and participation. Multivariate models presented clinical and contextual factors as functional predictors that included the physical structure of the environment in the determination of social participation. [ABSTRACT FROM AUTHOR]
- Subjects :
- DISABILITY evaluation
DYSPNEA
ECOLOGY
OBSTRUCTIVE lung diseases
MULTIVARIATE analysis
QUESTIONNAIRES
STATISTICS
DATA analysis
ENVIRONMENTAL medicine
MULTIPLE regression analysis
CROSS-sectional method
DATA analysis software
FUNCTIONAL assessment
DESCRIPTIVE statistics
INFERENTIAL statistics
FORCED expiratory volume
SYMPTOMS
Subjects
Details
- Language :
- English
- ISSN :
- 09593985
- Volume :
- 36
- Issue :
- 10
- Database :
- Complementary Index
- Journal :
- Physiotherapy Theory & Practice
- Publication Type :
- Academic Journal
- Accession number :
- 146243193
- Full Text :
- https://doi.org/10.1080/09593985.2018.1563930