Predictors of walking capacity in peripheral arterial disease patients
Autor(a) principal: | |
---|---|
Data de Publicação: | 2013 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Clinics |
Texto Completo: | https://www.revistas.usp.br/clinics/article/view/76799 |
Resumo: | OBJECTIVE: To estimate walking capacity in intermittent claudication patients through a prediction model based on clinical characteristics and the walking impairment questionnaire. METHODS: The sample included 133 intermittent claudication patients of both genders aged between 30 and 80 years. Data regarding clinical characteristics, the walking impairment questionnaire and treadmill walking test performance were obtained. Multiple regression modeling was conducted to predict claudication onset distance and total walking distance using clinical characteristics (age, height, mass, body mass index, ankle brachial index lower, gender, history of smoking and co-morbid conditions) and walking impairment questionnaire responses. Comparisons of claudication onset distance and total walking distance measured during treadmill tests and estimated by a regression equation were performed using paired t-tests. RESULTS: Co-morbid conditions (diabetes and coronary artery disease) and questions related to difficulty in walking short distances (walking indoors - such as around your house and walking 5 blocks) and at low speed (walking 1 block at average speed - usual pace) resulted in the development of new prediction models high significant for claudication onset distance and total walking distance (p;0.05) were observed. CONCLUSION: The current study demonstrated that walking capacity can be adequately estimated based on co-morbid conditions and responses to the walking impairment questionnaire. |
id |
USP-19_92e9221204e2b7b07a4df801f7ffc58b |
---|---|
oai_identifier_str |
oai:revistas.usp.br:article/76799 |
network_acronym_str |
USP-19 |
network_name_str |
Clinics |
repository_id_str |
|
spelling |
Predictors of walking capacity in peripheral arterial disease patientsOBJECTIVE: To estimate walking capacity in intermittent claudication patients through a prediction model based on clinical characteristics and the walking impairment questionnaire. METHODS: The sample included 133 intermittent claudication patients of both genders aged between 30 and 80 years. Data regarding clinical characteristics, the walking impairment questionnaire and treadmill walking test performance were obtained. Multiple regression modeling was conducted to predict claudication onset distance and total walking distance using clinical characteristics (age, height, mass, body mass index, ankle brachial index lower, gender, history of smoking and co-morbid conditions) and walking impairment questionnaire responses. Comparisons of claudication onset distance and total walking distance measured during treadmill tests and estimated by a regression equation were performed using paired t-tests. RESULTS: Co-morbid conditions (diabetes and coronary artery disease) and questions related to difficulty in walking short distances (walking indoors - such as around your house and walking 5 blocks) and at low speed (walking 1 block at average speed - usual pace) resulted in the development of new prediction models high significant for claudication onset distance and total walking distance (p;0.05) were observed. CONCLUSION: The current study demonstrated that walking capacity can be adequately estimated based on co-morbid conditions and responses to the walking impairment questionnaire.Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo2013-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/clinics/article/view/7679910.1590/clin.v68i4.76799Clinics; Vol. 68 No. 4 (2013); 537-541Clinics; v. 68 n. 4 (2013); 537-541Clinics; Vol. 68 Núm. 4 (2013); 537-5411980-53221807-5932reponame:Clinicsinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/clinics/article/view/76799/80661Farah, Breno Quintellados Anjos Souza Barbosa, João PauloCucato, Gabriel Grizzoda Rocha Chehuen, MarcelGobbo, Luis AlbertoWolosker, Nelsonde Moraes Forjaz, Cláudia LúciaDias, Raphael Mendes Ritti-info:eu-repo/semantics/openAccess2014-03-21T18:32:40Zoai:revistas.usp.br:article/76799Revistahttps://www.revistas.usp.br/clinicsPUBhttps://www.revistas.usp.br/clinics/oai||clinics@hc.fm.usp.br1980-53221807-5932opendoar:2014-03-21T18:32:40Clinics - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Predictors of walking capacity in peripheral arterial disease patients |
title |
Predictors of walking capacity in peripheral arterial disease patients |
spellingShingle |
Predictors of walking capacity in peripheral arterial disease patients Farah, Breno Quintella |
title_short |
Predictors of walking capacity in peripheral arterial disease patients |
title_full |
Predictors of walking capacity in peripheral arterial disease patients |
title_fullStr |
Predictors of walking capacity in peripheral arterial disease patients |
title_full_unstemmed |
Predictors of walking capacity in peripheral arterial disease patients |
title_sort |
Predictors of walking capacity in peripheral arterial disease patients |
author |
Farah, Breno Quintella |
author_facet |
Farah, Breno Quintella dos Anjos Souza Barbosa, João Paulo Cucato, Gabriel Grizzo da Rocha Chehuen, Marcel Gobbo, Luis Alberto Wolosker, Nelson de Moraes Forjaz, Cláudia Lúcia Dias, Raphael Mendes Ritti- |
author_role |
author |
author2 |
dos Anjos Souza Barbosa, João Paulo Cucato, Gabriel Grizzo da Rocha Chehuen, Marcel Gobbo, Luis Alberto Wolosker, Nelson de Moraes Forjaz, Cláudia Lúcia Dias, Raphael Mendes Ritti- |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Farah, Breno Quintella dos Anjos Souza Barbosa, João Paulo Cucato, Gabriel Grizzo da Rocha Chehuen, Marcel Gobbo, Luis Alberto Wolosker, Nelson de Moraes Forjaz, Cláudia Lúcia Dias, Raphael Mendes Ritti- |
description |
OBJECTIVE: To estimate walking capacity in intermittent claudication patients through a prediction model based on clinical characteristics and the walking impairment questionnaire. METHODS: The sample included 133 intermittent claudication patients of both genders aged between 30 and 80 years. Data regarding clinical characteristics, the walking impairment questionnaire and treadmill walking test performance were obtained. Multiple regression modeling was conducted to predict claudication onset distance and total walking distance using clinical characteristics (age, height, mass, body mass index, ankle brachial index lower, gender, history of smoking and co-morbid conditions) and walking impairment questionnaire responses. Comparisons of claudication onset distance and total walking distance measured during treadmill tests and estimated by a regression equation were performed using paired t-tests. RESULTS: Co-morbid conditions (diabetes and coronary artery disease) and questions related to difficulty in walking short distances (walking indoors - such as around your house and walking 5 blocks) and at low speed (walking 1 block at average speed - usual pace) resulted in the development of new prediction models high significant for claudication onset distance and total walking distance (p;0.05) were observed. CONCLUSION: The current study demonstrated that walking capacity can be adequately estimated based on co-morbid conditions and responses to the walking impairment questionnaire. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-04-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/clinics/article/view/76799 10.1590/clin.v68i4.76799 |
url |
https://www.revistas.usp.br/clinics/article/view/76799 |
identifier_str_mv |
10.1590/clin.v68i4.76799 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/clinics/article/view/76799/80661 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo |
publisher.none.fl_str_mv |
Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo |
dc.source.none.fl_str_mv |
Clinics; Vol. 68 No. 4 (2013); 537-541 Clinics; v. 68 n. 4 (2013); 537-541 Clinics; Vol. 68 Núm. 4 (2013); 537-541 1980-5322 1807-5932 reponame:Clinics instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Clinics |
collection |
Clinics |
repository.name.fl_str_mv |
Clinics - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
||clinics@hc.fm.usp.br |
_version_ |
1800222760121663488 |