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Functional outcomes in patients with chronic obstructive pulmonary disease: a multivariate analysis

BACKGROUND: Multiple factors can influence the severity of chronic obstructive pulmonary disease (COPD) and the functioning of patients with COPD, such as personal characteristics and systemic manifestations. OBJECTIVE: To evaluate the different factors that can influence the activity and psychosoci...

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Autores principales: Athayde, Filipe T. S., Vieira, Danielle S. R., Britto, Raquel R., Parreira, Verônica F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4183240/
https://www.ncbi.nlm.nih.gov/pubmed/24675914
http://dx.doi.org/10.1590/S1413-35552012005000142
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author Athayde, Filipe T. S.
Vieira, Danielle S. R.
Britto, Raquel R.
Parreira, Verônica F.
author_facet Athayde, Filipe T. S.
Vieira, Danielle S. R.
Britto, Raquel R.
Parreira, Verônica F.
author_sort Athayde, Filipe T. S.
collection PubMed
description BACKGROUND: Multiple factors can influence the severity of chronic obstructive pulmonary disease (COPD) and the functioning of patients with COPD, such as personal characteristics and systemic manifestations. OBJECTIVE: To evaluate the different factors that can influence the activity and psychosocial impact domains of the Saint George's Respiratory Questionnaire (SGRQ) in COPD patients. METHOD: Participants, recruited in a university-based hospital, responded to the SGRQ, and in addition, personal, anthropometric, and clinical data were collected. The study was approved by the Institutional Ethics Committee. Data were analyzed using multiple linear regression models, with the SGRQ activity and psychosocial impact scores as outcome variables, and 10 explanatory variables (age, gender, forced expiratory volume in the first second - FEV(1), smoking load, body mass index, oxygen therapy, associated diseases, regular physical activity, participation in a formal rehabilitation program, and SGRQ symptoms score) were considered. RESULTS: The best regression model for predicting the SGRQ activity score (r(2)=0.477) included gender, FEV(1), and SGRQ symptoms. In contrast, the predictive model with the highest proportion of explained variance in psychosocial impact score (r(2)=0.426) included the variables gender, oxygen therapy, and SGRQ symptoms. CONCLUSIONS: The results indicate that the outcomes, while based on functioning parameters in COPD patients, could be partly explained by the personal and clinical factors analyzed, especially by the symptoms assessed by the SGRQ. Thus, it appears that the health conditions of these patients cannot be described by isolated variables, including pulmonary function parameters.
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spelling pubmed-41832402014-10-23 Functional outcomes in patients with chronic obstructive pulmonary disease: a multivariate analysis Athayde, Filipe T. S. Vieira, Danielle S. R. Britto, Raquel R. Parreira, Verônica F. Braz J Phys Ther Original Articles BACKGROUND: Multiple factors can influence the severity of chronic obstructive pulmonary disease (COPD) and the functioning of patients with COPD, such as personal characteristics and systemic manifestations. OBJECTIVE: To evaluate the different factors that can influence the activity and psychosocial impact domains of the Saint George's Respiratory Questionnaire (SGRQ) in COPD patients. METHOD: Participants, recruited in a university-based hospital, responded to the SGRQ, and in addition, personal, anthropometric, and clinical data were collected. The study was approved by the Institutional Ethics Committee. Data were analyzed using multiple linear regression models, with the SGRQ activity and psychosocial impact scores as outcome variables, and 10 explanatory variables (age, gender, forced expiratory volume in the first second - FEV(1), smoking load, body mass index, oxygen therapy, associated diseases, regular physical activity, participation in a formal rehabilitation program, and SGRQ symptoms score) were considered. RESULTS: The best regression model for predicting the SGRQ activity score (r(2)=0.477) included gender, FEV(1), and SGRQ symptoms. In contrast, the predictive model with the highest proportion of explained variance in psychosocial impact score (r(2)=0.426) included the variables gender, oxygen therapy, and SGRQ symptoms. CONCLUSIONS: The results indicate that the outcomes, while based on functioning parameters in COPD patients, could be partly explained by the personal and clinical factors analyzed, especially by the symptoms assessed by the SGRQ. Thus, it appears that the health conditions of these patients cannot be described by isolated variables, including pulmonary function parameters. Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia 2014 /pmc/articles/PMC4183240/ /pubmed/24675914 http://dx.doi.org/10.1590/S1413-35552012005000142 Text en http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Athayde, Filipe T. S.
Vieira, Danielle S. R.
Britto, Raquel R.
Parreira, Verônica F.
Functional outcomes in patients with chronic obstructive pulmonary disease: a multivariate analysis
title Functional outcomes in patients with chronic obstructive pulmonary disease: a multivariate analysis
title_full Functional outcomes in patients with chronic obstructive pulmonary disease: a multivariate analysis
title_fullStr Functional outcomes in patients with chronic obstructive pulmonary disease: a multivariate analysis
title_full_unstemmed Functional outcomes in patients with chronic obstructive pulmonary disease: a multivariate analysis
title_short Functional outcomes in patients with chronic obstructive pulmonary disease: a multivariate analysis
title_sort functional outcomes in patients with chronic obstructive pulmonary disease: a multivariate analysis
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4183240/
https://www.ncbi.nlm.nih.gov/pubmed/24675914
http://dx.doi.org/10.1590/S1413-35552012005000142
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