Basal metabolic rate in Brazilian patients with type 2 diabetes : comparison between measured and estimated values
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/195775 |
Resumo: | ABSTRACT Objectives: The aims of this study are to investigate which of the seven selected predictive equation for estimating basal metabolic rate (BMR) is the best alternative to indirect calorimetry (IC) and to evaluate the dietary energy intake in patients with type 2 diabetes. Subjects and methods: Twentyone patients with type 2 diabetes participated in this diagnostic test study. Clinical and laboratorial variables were evaluated as well as body composition by absorptiometry dual X-ray emission (DXA) and BMR measured by IC and estimated by prediction equations. Dietary intake was evaluated by a quantitative food frequency questionnaire. Data were analyzed using Bland–Altman plots, paired t-tests, and Pearson’s correlation coefficients. Results: Patients were 62 (48-70) years old, have had diabetes for 8 (2-36) yeas, and 52.4% were females. The mean body composition comprised a fat-free mass of 49.8 ± 9.4 kg and a fat mass of 28.3 ± 7.2 kg. The energy intake was 2134.3 ± 730.2 kcal/day and the BMR by IC was 1745 ± 315 kcal/day. There was a wide variation in the accuracy of BMR values predicted by equations when compared to IC BMR measurement. Harris-Benedict, Oxford, FAO/WHO/ UNO equations produced the smallest differences to IC, with a general bias of < 8%. The FAO/WHO/ UNO equation provided the best BMR prediction in comparison to measured BMR. Conclusion: In patients with type 2 diabetes, the equation of the FAO/WHO/UNO was the one closest to the BMR values as measured by IC. |
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Steemburgo, ThaisLazzari, CamilaFarinha, Juliano BoufleurPaula, Tatiana Pedroso deViana, Luciana VerçozaOliveira, Álvaro Reischak deAzevedo, Mirela Jobim de2019-06-14T02:30:49Z20192359-4292http://hdl.handle.net/10183/195775001090781ABSTRACT Objectives: The aims of this study are to investigate which of the seven selected predictive equation for estimating basal metabolic rate (BMR) is the best alternative to indirect calorimetry (IC) and to evaluate the dietary energy intake in patients with type 2 diabetes. Subjects and methods: Twentyone patients with type 2 diabetes participated in this diagnostic test study. Clinical and laboratorial variables were evaluated as well as body composition by absorptiometry dual X-ray emission (DXA) and BMR measured by IC and estimated by prediction equations. Dietary intake was evaluated by a quantitative food frequency questionnaire. Data were analyzed using Bland–Altman plots, paired t-tests, and Pearson’s correlation coefficients. Results: Patients were 62 (48-70) years old, have had diabetes for 8 (2-36) yeas, and 52.4% were females. The mean body composition comprised a fat-free mass of 49.8 ± 9.4 kg and a fat mass of 28.3 ± 7.2 kg. The energy intake was 2134.3 ± 730.2 kcal/day and the BMR by IC was 1745 ± 315 kcal/day. There was a wide variation in the accuracy of BMR values predicted by equations when compared to IC BMR measurement. Harris-Benedict, Oxford, FAO/WHO/ UNO equations produced the smallest differences to IC, with a general bias of < 8%. The FAO/WHO/ UNO equation provided the best BMR prediction in comparison to measured BMR. Conclusion: In patients with type 2 diabetes, the equation of the FAO/WHO/UNO was the one closest to the BMR values as measured by IC.application/pdfengArchives of endocrinology and metabolism. São Paulo. vol. 63, n. 1 (Jan./Feb. 2019), p. 53-61Diabetes mellitus tipo 2Metabolismo basalCalorimetria indiretaMetabolismo energéticoIndirectCalorimetryBasal metabolic rate;Energy metabolismType 2 diabetesBasal metabolic rate in Brazilian patients with type 2 diabetes : comparison between measured and estimated valuesinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001090781.pdf.txt001090781.pdf.txtExtracted Texttext/plain39008http://www.lume.ufrgs.br/bitstream/10183/195775/2/001090781.pdf.txt86db6a6442a7c0bd18be5866c393927eMD52ORIGINAL001090781.pdfTexto completo (inglês)application/pdf340332http://www.lume.ufrgs.br/bitstream/10183/195775/1/001090781.pdf764951eb43302048eba17fcccba1ff32MD5110183/1957752019-06-15 02:32:19.971926oai:www.lume.ufrgs.br:10183/195775Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2019-06-15T05:32:19Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Basal metabolic rate in Brazilian patients with type 2 diabetes : comparison between measured and estimated values |
title |
Basal metabolic rate in Brazilian patients with type 2 diabetes : comparison between measured and estimated values |
spellingShingle |
Basal metabolic rate in Brazilian patients with type 2 diabetes : comparison between measured and estimated values Steemburgo, Thais Diabetes mellitus tipo 2 Metabolismo basal Calorimetria indireta Metabolismo energético Indirect Calorimetry Basal metabolic rate; Energy metabolism Type 2 diabetes |
title_short |
Basal metabolic rate in Brazilian patients with type 2 diabetes : comparison between measured and estimated values |
title_full |
Basal metabolic rate in Brazilian patients with type 2 diabetes : comparison between measured and estimated values |
title_fullStr |
Basal metabolic rate in Brazilian patients with type 2 diabetes : comparison between measured and estimated values |
title_full_unstemmed |
Basal metabolic rate in Brazilian patients with type 2 diabetes : comparison between measured and estimated values |
title_sort |
Basal metabolic rate in Brazilian patients with type 2 diabetes : comparison between measured and estimated values |
author |
Steemburgo, Thais |
author_facet |
Steemburgo, Thais Lazzari, Camila Farinha, Juliano Boufleur Paula, Tatiana Pedroso de Viana, Luciana Verçoza Oliveira, Álvaro Reischak de Azevedo, Mirela Jobim de |
author_role |
author |
author2 |
Lazzari, Camila Farinha, Juliano Boufleur Paula, Tatiana Pedroso de Viana, Luciana Verçoza Oliveira, Álvaro Reischak de Azevedo, Mirela Jobim de |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Steemburgo, Thais Lazzari, Camila Farinha, Juliano Boufleur Paula, Tatiana Pedroso de Viana, Luciana Verçoza Oliveira, Álvaro Reischak de Azevedo, Mirela Jobim de |
dc.subject.por.fl_str_mv |
Diabetes mellitus tipo 2 Metabolismo basal Calorimetria indireta Metabolismo energético |
topic |
Diabetes mellitus tipo 2 Metabolismo basal Calorimetria indireta Metabolismo energético Indirect Calorimetry Basal metabolic rate; Energy metabolism Type 2 diabetes |
dc.subject.eng.fl_str_mv |
Indirect Calorimetry Basal metabolic rate; Energy metabolism Type 2 diabetes |
description |
ABSTRACT Objectives: The aims of this study are to investigate which of the seven selected predictive equation for estimating basal metabolic rate (BMR) is the best alternative to indirect calorimetry (IC) and to evaluate the dietary energy intake in patients with type 2 diabetes. Subjects and methods: Twentyone patients with type 2 diabetes participated in this diagnostic test study. Clinical and laboratorial variables were evaluated as well as body composition by absorptiometry dual X-ray emission (DXA) and BMR measured by IC and estimated by prediction equations. Dietary intake was evaluated by a quantitative food frequency questionnaire. Data were analyzed using Bland–Altman plots, paired t-tests, and Pearson’s correlation coefficients. Results: Patients were 62 (48-70) years old, have had diabetes for 8 (2-36) yeas, and 52.4% were females. The mean body composition comprised a fat-free mass of 49.8 ± 9.4 kg and a fat mass of 28.3 ± 7.2 kg. The energy intake was 2134.3 ± 730.2 kcal/day and the BMR by IC was 1745 ± 315 kcal/day. There was a wide variation in the accuracy of BMR values predicted by equations when compared to IC BMR measurement. Harris-Benedict, Oxford, FAO/WHO/ UNO equations produced the smallest differences to IC, with a general bias of < 8%. The FAO/WHO/ UNO equation provided the best BMR prediction in comparison to measured BMR. Conclusion: In patients with type 2 diabetes, the equation of the FAO/WHO/UNO was the one closest to the BMR values as measured by IC. |
publishDate |
2019 |
dc.date.accessioned.fl_str_mv |
2019-06-14T02:30:49Z |
dc.date.issued.fl_str_mv |
2019 |
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publishedVersion |
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http://hdl.handle.net/10183/195775 |
dc.identifier.issn.pt_BR.fl_str_mv |
2359-4292 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001090781 |
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http://hdl.handle.net/10183/195775 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Archives of endocrinology and metabolism. São Paulo. vol. 63, n. 1 (Jan./Feb. 2019), p. 53-61 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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