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Master's Dissertation
DOI
10.11606/D.109.2018.tde-02042018-164553
Document
Author
Full name
Ana Claudia Rossini Venturini
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
Ribeirão Preto, 2017
Supervisor
Committee
Machado, Dalmo Roberto Lopes (President)
Moraes, Camila de
Silva, Analiza Mónica Lopes de Almeida
Suen, Vivian Marques Miguel
Title in Portuguese
Metabolismo energético multicompartimental: modelos preditivos derivados da DXA
Keywords in Portuguese
Absorciometria de Fóton
Adulto Jovem
Calorimetria Indireta
Composição Corporal
Metabolismo Energético
Abstract in Portuguese
Gasto Energético de Repouso (GER) varia ao longo do tempo e apresenta efeitos práticos nas comparações interpessoais. O método tradicional para estimar GER não leva em conta as diferentes atividades metabólicas de órgãos, tecido ósseo (TO), tecido adiposo (TA), tecido músculo esquelético (TME) e cérebro. Assim, o objetivo deste estudo foi determinar o GER de adultos jovens brasileiros de forma multicompartimentada (DXA) referenciada por calorimetria indireta (CI). Uma amostra de 155 jovens universitários de ambos os sexos (18 a 30 anos) foi submetida a medidas antropométricas, estimativa de GER por CI e varredura de corpo total por DXA (nível molecular). Após a transformação dos componentes (DXA) para o nível órgão tecidular, foi determinado o GER de cada componente. A concordância (Bland-Altman) entre GER medido (CI) e predito (DXA) foi realizada para validação do modelo testado. Como a validação falhou um novo modelo foi desenvolvido (Regressão Linear - ENTER) e validado (PRESS) tendo como variável dependente as cinco variáveis geradas após a relativização do GER dado pela CI para o modelo testado mais a variável sexo. As análises foram realizadas com o pacote estatístico SPSS v. 20.0 (Chicago, IL); MedCalc® 2015 (v. 15.2); e Minitab® (v. 17.3.1), com nível de significância em ? = 0,05. Os resultados evidenciaram maiores valores de massa isenta de tecido adiposo (MITA), área craniana e tecido residual (TR) para os homens e menores valores de massa gorda (MG) e tecido adiposo (TA) do que as mulheres. Maiores gastos (p<0,001) foram encontrados nos homens para todos os componentes em relação às mulheres, exceto no gasto do TA (p<0,001). Nas comparações entre medido e predito diferenças (p<0,001) foram encontradas para a amostra total, homens e mulheres. Dessa forma, equações específicas para cada componente foram propostas e validadas pela soma dos quadrados dos resíduos, nos coeficientes (R2PRESS = 0,95; 0,73; 0,80; 0,16; 0,84) e na confiabilidade de erro reduzido (SPRESS = 14,2; 1,8; 46,3; 48,1; 87,2) para o gasto do TA, TO, TME, cérebro e TR. Em conclusão, essa abordagem traz implicações importantes para a avaliação e interpretação do metabolismo energético multicompartimental, considerando as diferenças interpessoais na produção de calor. É uma estratégia aplicável no contexto da saúde ou esporte, para prescrição de exercícios ou manipulação de dietas, pois retrata a magnitude de GER de cada componente corporal
Title in English
Multicompartmental energy metabolism: predictive models derived from DXA
Keywords in English
Absorptiometry Photon
Body composition
Calorimetry Indirect
Energy Metabolism
Young Adult
Abstract in English
Resting Energy Expenditure (REE) varies over time and has practical consequences for interpersonal comparisons. The traditional method to estimate REE does not take into account the metabolic activities of organs, bone tissue (BT), adipose tissue (AT), muscle tissue (MT) and brain. Therefore, the aim of this study was to determine the REE of Brazilian young adults from a multicompartmental way (DXA) referenced by indirect calorimetry (IC). A sample of 155 university students of both sexes (18-30 years) was submitted to anthropometric measurements, to estimate REE by IC and total body scan (DXA) of the molecular level. After transformation of DXA components to the organ-tissue level, the REE was determined for each component. The agreement (Bland-Altman) between measured REE (CI) and predicted (DXA) was carried out to validate the tested model. How validation failed, a new model was developed (Linear Regression - ENTER) and validated (PRESS) having as dependent variable the five variables generated after the relativization of the GER given by the IC for the model tested plus the sex variable. The analyzes were performed with the statistical package SPSS v. 20.0 (Chicago, IL); MedCalc® 2015 (v.15.2); and Minitab® (see 17.3.1), with significance level at ? = 0.05. The results showed higher values of adipose tissue free mass (ATFM), head area and residual tissue (RT) for men and lower values of fat mass (MG) and adipose tissue (AT) in relation to women. Higher expenditure (p <0.001) were found in men for all components compared to women, except for AT (p <0.001). In the comparisons between measured and predicted differences (p <0.001) were found for the total sample, men and women. In this way, specific equations for each component were proposed and validated by the sum of the squares of the residues, in the coefficients (R2PRESS = 0.95, 0.73, 0.80, 0.16, 0.84) and the reduced error reliability (SPRESS = 14.2, 1.8, 46.3, 48.1, 87.2) for the expenditure of AT, BT, MT, brain and RT. In conclusion, this approach has important implications for the evaluation and interpretation of multicompartmental energy metabolism considering the interpersonal differences in the production of heat. It is a strategy applicable in the context of health or sports, for prescription of exercises or manipulation of diets, as it portrays the magnitude of GER of each body component
 
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Publishing Date
2018-06-05
 
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