Predictive equations for maximal respiratory pressures of children aged 7–10
Main Author: | |
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Publication Date: | 2017 |
Other Authors: | , , |
Format: | Article |
Language: | eng |
Source: | Repositório Institucional da Udesc |
dARK ID: | ark:/33523/001300000pw9t |
Download full: | https://repositorio.udesc.br/handle/UDESC/7183 |
Summary: | © 2017 Associação Brasileira de Pesquisa e Pós-Graduação em FisioterapiaBackground Measurements of respiratory muscle strength are widely used for assessment in children; however, clearly defined predictive equations for the Brazilian pediatric population have yet to be established. Objective To determine the prediction equations for maximal respiratory pressures in healthy children. Method Cross-sectional observational study with normal-weight students aged 7–10 years (n = 399, 198 boys) with health attested by the (International Study of Asthma and Allergies in Childhood) questionnaire and medical history. Biometric data were evaluated (weight, height, and body mass index) as predictors. Spirometry and maximal expiratory pressure values were measured according to the recommendations of the American Thoracic Society. To verify data normality, the Shapiro–Wilk test was applied, and Pearson's test was used to verify the correlation between variables. The models were developed using simple linear regression and multivariate analyses. For all tests, the significance level was p < 0.05. Results Boys showed higher values of maximal respiratory pressures than girls, both increasing with age. For boys, these values had moderate correlation with age, weight, and height and weak correlation with body mass index. For girls, maximum inspiratory pressure had a weak correlation with age and moderate correlation with biometric data. Maximum expiratory pressure had a moderate correlation with age and biometric measures. The best predictive models were found in boys: Log(MIP) = 1.577 + 0.006 × weight (kg) (R2aj = 14.1%) and Log(MEP) = 1.282 + 0.409 × height (m) (R2aj = 13.9%); and for girls: Log(MIP) = 1.548 + 0.006 × weight (kg) (R2aj = 15.0%) and Log(MEP) = 1.524 + 0.012 × age (years) + 0.005 × weight (kg) (R2aj = 21.6%). Conclusion Prediction equations for maximal respiratory pressures were developed for boys and girls. The biometric measurements were shown to have a weak influence on the results. |
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Predictive equations for maximal respiratory pressures of children aged 7–10© 2017 Associação Brasileira de Pesquisa e Pós-Graduação em FisioterapiaBackground Measurements of respiratory muscle strength are widely used for assessment in children; however, clearly defined predictive equations for the Brazilian pediatric population have yet to be established. Objective To determine the prediction equations for maximal respiratory pressures in healthy children. Method Cross-sectional observational study with normal-weight students aged 7–10 years (n = 399, 198 boys) with health attested by the (International Study of Asthma and Allergies in Childhood) questionnaire and medical history. Biometric data were evaluated (weight, height, and body mass index) as predictors. Spirometry and maximal expiratory pressure values were measured according to the recommendations of the American Thoracic Society. To verify data normality, the Shapiro–Wilk test was applied, and Pearson's test was used to verify the correlation between variables. The models were developed using simple linear regression and multivariate analyses. For all tests, the significance level was p < 0.05. Results Boys showed higher values of maximal respiratory pressures than girls, both increasing with age. For boys, these values had moderate correlation with age, weight, and height and weak correlation with body mass index. For girls, maximum inspiratory pressure had a weak correlation with age and moderate correlation with biometric data. Maximum expiratory pressure had a moderate correlation with age and biometric measures. The best predictive models were found in boys: Log(MIP) = 1.577 + 0.006 × weight (kg) (R2aj = 14.1%) and Log(MEP) = 1.282 + 0.409 × height (m) (R2aj = 13.9%); and for girls: Log(MIP) = 1.548 + 0.006 × weight (kg) (R2aj = 15.0%) and Log(MEP) = 1.524 + 0.012 × age (years) + 0.005 × weight (kg) (R2aj = 21.6%). Conclusion Prediction equations for maximal respiratory pressures were developed for boys and girls. The biometric measurements were shown to have a weak influence on the results.2024-12-06T13:21:12Z2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlep. 30 - 361809-924610.1016/j.bjpt.2016.04.002https://repositorio.udesc.br/handle/UDESC/7183ark:/33523/001300000pw9tBrazilian Journal of Physical Therapy211da Rosa G.J.*Morcillo A.M.de Assumpcao M.S.*Schivinski, Camila Isabel Santosengreponame:Repositório Institucional da Udescinstname:Universidade do Estado de Santa Catarina (UDESC)instacron:UDESCinfo:eu-repo/semantics/openAccess2024-12-07T20:53:23Zoai:repositorio.udesc.br:UDESC/7183Biblioteca Digital de Teses e Dissertaçõeshttps://pergamumweb.udesc.br/biblioteca/index.phpPRIhttps://repositorio-api.udesc.br/server/oai/requestri@udesc.bropendoar:63912024-12-07T20:53:23Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC)false |
dc.title.none.fl_str_mv |
Predictive equations for maximal respiratory pressures of children aged 7–10 |
title |
Predictive equations for maximal respiratory pressures of children aged 7–10 |
spellingShingle |
Predictive equations for maximal respiratory pressures of children aged 7–10 da Rosa G.J.* |
title_short |
Predictive equations for maximal respiratory pressures of children aged 7–10 |
title_full |
Predictive equations for maximal respiratory pressures of children aged 7–10 |
title_fullStr |
Predictive equations for maximal respiratory pressures of children aged 7–10 |
title_full_unstemmed |
Predictive equations for maximal respiratory pressures of children aged 7–10 |
title_sort |
Predictive equations for maximal respiratory pressures of children aged 7–10 |
author |
da Rosa G.J.* |
author_facet |
da Rosa G.J.* Morcillo A.M. de Assumpcao M.S.* Schivinski, Camila Isabel Santos |
author_role |
author |
author2 |
Morcillo A.M. de Assumpcao M.S.* Schivinski, Camila Isabel Santos |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
da Rosa G.J.* Morcillo A.M. de Assumpcao M.S.* Schivinski, Camila Isabel Santos |
description |
© 2017 Associação Brasileira de Pesquisa e Pós-Graduação em FisioterapiaBackground Measurements of respiratory muscle strength are widely used for assessment in children; however, clearly defined predictive equations for the Brazilian pediatric population have yet to be established. Objective To determine the prediction equations for maximal respiratory pressures in healthy children. Method Cross-sectional observational study with normal-weight students aged 7–10 years (n = 399, 198 boys) with health attested by the (International Study of Asthma and Allergies in Childhood) questionnaire and medical history. Biometric data were evaluated (weight, height, and body mass index) as predictors. Spirometry and maximal expiratory pressure values were measured according to the recommendations of the American Thoracic Society. To verify data normality, the Shapiro–Wilk test was applied, and Pearson's test was used to verify the correlation between variables. The models were developed using simple linear regression and multivariate analyses. For all tests, the significance level was p < 0.05. Results Boys showed higher values of maximal respiratory pressures than girls, both increasing with age. For boys, these values had moderate correlation with age, weight, and height and weak correlation with body mass index. For girls, maximum inspiratory pressure had a weak correlation with age and moderate correlation with biometric data. Maximum expiratory pressure had a moderate correlation with age and biometric measures. The best predictive models were found in boys: Log(MIP) = 1.577 + 0.006 × weight (kg) (R2aj = 14.1%) and Log(MEP) = 1.282 + 0.409 × height (m) (R2aj = 13.9%); and for girls: Log(MIP) = 1.548 + 0.006 × weight (kg) (R2aj = 15.0%) and Log(MEP) = 1.524 + 0.012 × age (years) + 0.005 × weight (kg) (R2aj = 21.6%). Conclusion Prediction equations for maximal respiratory pressures were developed for boys and girls. The biometric measurements were shown to have a weak influence on the results. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 2024-12-06T13:21:12Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
1809-9246 10.1016/j.bjpt.2016.04.002 https://repositorio.udesc.br/handle/UDESC/7183 |
dc.identifier.dark.fl_str_mv |
ark:/33523/001300000pw9t |
identifier_str_mv |
1809-9246 10.1016/j.bjpt.2016.04.002 ark:/33523/001300000pw9t |
url |
https://repositorio.udesc.br/handle/UDESC/7183 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Brazilian Journal of Physical Therapy 21 1 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
dc.format.none.fl_str_mv |
p. 30 - 36 |
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reponame:Repositório Institucional da Udesc instname:Universidade do Estado de Santa Catarina (UDESC) instacron:UDESC |
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Universidade do Estado de Santa Catarina (UDESC) |
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UDESC |
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UDESC |
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Repositório Institucional da Udesc |
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Repositório Institucional da Udesc |
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Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC) |
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ri@udesc.br |
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1842258157818085376 |