Applicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apnea

Detalhes bibliográficos
Autor(a) principal: Mariana Pantaleão del Re
Data de Publicação: 2016
Outros Autores: Camila Maria de Melo, Marcus Vinicius Dos Santos, Sergio Tufik, Marco Túlio de Mello
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFMG
Texto Completo: https://doi.org/10.1590/2359-3997000000228
http://hdl.handle.net/1843/39529
Resumo: Objective: To investigate the applicability of predictive equations for resting energy expenditure (REE) in obese individuals with obstructive sleep apnea (OSA) and the effects of OSA severity on REE. Materials and methods: Twenty-nine obese men, 41.5 ± 7 years old, with moderate and severe OSA were recruited. All subjects were submitted to a clinical polysomnography, body composition, and indirect calorimetry measurements. REE was also predicted by three different equations: Harris and Benedict (1919), Cunningham (1990), and DRI (2002). Results: No effects of OSA severity on REE were found. The measured REE (2416.0 ± 447.1 kcal/day) and the REE predicted by equations were different from each other (F = 2713.88; p < 0.05): Harris and Bene dict (2128.0 ± 245.8 kcal/day), Cunningham (1789.1 ± 167.8 kcal/day) and DRI (2011.1 ± 181.4 kcal/ day). Pearson correlations showed a moderate positive correlation between the REE measured and predicted by all equations. Conclusion: Our findings suggest that predictive equations for REE underestimate the energy expenditure in obese patients with sleep apnea. Also, no effects of OSA severity on REE were found. Arch Endocrinol Metab. 2017;61(3):257-62.
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spelling 2022-02-21T19:48:14Z2022-02-21T19:48:14Z2016-11-2461Ahead257262https://doi.org/10.1590/2359-399700000022823594292http://hdl.handle.net/1843/39529Objective: To investigate the applicability of predictive equations for resting energy expenditure (REE) in obese individuals with obstructive sleep apnea (OSA) and the effects of OSA severity on REE. Materials and methods: Twenty-nine obese men, 41.5 ± 7 years old, with moderate and severe OSA were recruited. All subjects were submitted to a clinical polysomnography, body composition, and indirect calorimetry measurements. REE was also predicted by three different equations: Harris and Benedict (1919), Cunningham (1990), and DRI (2002). Results: No effects of OSA severity on REE were found. The measured REE (2416.0 ± 447.1 kcal/day) and the REE predicted by equations were different from each other (F = 2713.88; p < 0.05): Harris and Bene dict (2128.0 ± 245.8 kcal/day), Cunningham (1789.1 ± 167.8 kcal/day) and DRI (2011.1 ± 181.4 kcal/ day). Pearson correlations showed a moderate positive correlation between the REE measured and predicted by all equations. Conclusion: Our findings suggest that predictive equations for REE underestimate the energy expenditure in obese patients with sleep apnea. Also, no effects of OSA severity on REE were found. Arch Endocrinol Metab. 2017;61(3):257-62.Objetivo: Investigar a aplicabilidade de equações preditivas para o gasto energético de repouso (REE) em obesos com apneia obstrutiva do sono (AOS) e os efeitos da gravidade da AOS em REE. Materiais e métodos: Vinte e nove homens obesos, 41,5 ± 7 anos, com AOS grave foram recrutados. Todos os indivíduos foram submetidos a uma polissonografia clínica, composição e medidas de calorimetria indireta. O REE também foi previsto por três diferentes equações: Harris e Benedict (1919), Cunningham (1990) e DRI (2002). Resultados: Sem efeitos de gravidade da AOS no REE foram encontrados. O GER medido (2416,0 ± 447,1 kcal/dia) e o GER previstos pelas equações foram diferentes entre si (F = 2713,88; p < 0,05): Harris e Benedict (2128,0 ± 245,8 kcal/dia), Cunningham (1789,1 ± 167,8 kcal/dia) e DRI (2011,1 ± 181,4 kcal/dia) dia). As correlações de Pearson mostraram uma correlação positiva moderada entre o GER medido e previsto por todas as equações. Conclusão: Nossos achados sugerem que as equações preditivas para O REE subestima o gasto energético em pacientes obesos com apneia do sono. Também não há efeitos de gravidade da AOS no REE foram encontrados. Arch Endocrinol Metab. 2017;61(3):257-62.engUniversidade Federal de Minas GeraisUFMGBrasilEEF - DEPARTAMENTO DE ESPORTESArch Endocrinol MetabObesidadeApneia obstrutiva do sonoGasto de energiaGasto energético de repousoEquações preditivasObesityObstructive sleep apneaEnergy expenditureResting energy expenditurePredictive equationsApplicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apneaAplicabilidade de equações preditivas para gasto energético de repouso em pacientes obesos com apneia obstrutiva do sonoinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleMariana Pantaleão del ReCamila Maria de MeloMarcus Vinicius Dos SantosSergio TufikMarco Túlio de Melloapplication/pdfinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/39529/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALApplicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apnea.pdfApplicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apnea.pdfapplication/pdf297683https://repositorio.ufmg.br/bitstream/1843/39529/2/Applicability%20of%20predictive%20equations%20for%20resting%20energy%20expenditure%20in%20obese%20patients%20with%20obstructive%20sleep%20apnea.pdfcabea1da67c254f41177ca8eafb92017MD521843/395292022-02-21 16:48:14.638oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2022-02-21T19:48:14Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.pt_BR.fl_str_mv Applicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apnea
dc.title.alternative.pt_BR.fl_str_mv Aplicabilidade de equações preditivas para gasto energético de repouso em pacientes obesos com apneia obstrutiva do sono
title Applicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apnea
spellingShingle Applicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apnea
Mariana Pantaleão del Re
Obesity
Obstructive sleep apnea
Energy expenditure
Resting energy expenditure
Predictive equations
Obesidade
Apneia obstrutiva do sono
Gasto de energia
Gasto energético de repouso
Equações preditivas
title_short Applicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apnea
title_full Applicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apnea
title_fullStr Applicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apnea
title_full_unstemmed Applicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apnea
title_sort Applicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apnea
author Mariana Pantaleão del Re
author_facet Mariana Pantaleão del Re
Camila Maria de Melo
Marcus Vinicius Dos Santos
Sergio Tufik
Marco Túlio de Mello
author_role author
author2 Camila Maria de Melo
Marcus Vinicius Dos Santos
Sergio Tufik
Marco Túlio de Mello
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Mariana Pantaleão del Re
Camila Maria de Melo
Marcus Vinicius Dos Santos
Sergio Tufik
Marco Túlio de Mello
dc.subject.por.fl_str_mv Obesity
Obstructive sleep apnea
Energy expenditure
Resting energy expenditure
Predictive equations
topic Obesity
Obstructive sleep apnea
Energy expenditure
Resting energy expenditure
Predictive equations
Obesidade
Apneia obstrutiva do sono
Gasto de energia
Gasto energético de repouso
Equações preditivas
dc.subject.other.pt_BR.fl_str_mv Obesidade
Apneia obstrutiva do sono
Gasto de energia
Gasto energético de repouso
Equações preditivas
description Objective: To investigate the applicability of predictive equations for resting energy expenditure (REE) in obese individuals with obstructive sleep apnea (OSA) and the effects of OSA severity on REE. Materials and methods: Twenty-nine obese men, 41.5 ± 7 years old, with moderate and severe OSA were recruited. All subjects were submitted to a clinical polysomnography, body composition, and indirect calorimetry measurements. REE was also predicted by three different equations: Harris and Benedict (1919), Cunningham (1990), and DRI (2002). Results: No effects of OSA severity on REE were found. The measured REE (2416.0 ± 447.1 kcal/day) and the REE predicted by equations were different from each other (F = 2713.88; p < 0.05): Harris and Bene dict (2128.0 ± 245.8 kcal/day), Cunningham (1789.1 ± 167.8 kcal/day) and DRI (2011.1 ± 181.4 kcal/ day). Pearson correlations showed a moderate positive correlation between the REE measured and predicted by all equations. Conclusion: Our findings suggest that predictive equations for REE underestimate the energy expenditure in obese patients with sleep apnea. Also, no effects of OSA severity on REE were found. Arch Endocrinol Metab. 2017;61(3):257-62.
publishDate 2016
dc.date.issued.fl_str_mv 2016-11-24
dc.date.accessioned.fl_str_mv 2022-02-21T19:48:14Z
dc.date.available.fl_str_mv 2022-02-21T19:48:14Z
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 http://hdl.handle.net/1843/39529
dc.identifier.doi.pt_BR.fl_str_mv https://doi.org/10.1590/2359-3997000000228
dc.identifier.issn.pt_BR.fl_str_mv 23594292
url https://doi.org/10.1590/2359-3997000000228
http://hdl.handle.net/1843/39529
identifier_str_mv 23594292
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Arch Endocrinol Metab
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.publisher.initials.fl_str_mv UFMG
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv EEF - DEPARTAMENTO DE ESPORTES
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
instname:Universidade Federal de Minas Gerais (UFMG)
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instname_str Universidade Federal de Minas Gerais (UFMG)
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reponame_str Repositório Institucional da UFMG
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