Predictive equations for maximal respiratory pressures of children aged 7–10

Bibliographic Details
Main Author: da Rosa G.J.*
Publication Date: 2017
Other Authors: Morcillo A.M., de Assumpcao M.S.*, Schivinski, Camila Isabel Santos
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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spelling 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
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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
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Brazilian Journal of Physical Therapy
21
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dc.format.none.fl_str_mv p. 30 - 36
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instname:Universidade do Estado de Santa Catarina (UDESC)
instacron:UDESC
instname_str Universidade do Estado de Santa Catarina (UDESC)
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collection Repositório Institucional da Udesc
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