CORRELAÇÃO ENTRE A TAXA METABÓLICA BASAL (TMB) E OS FENÓTIPOS METABOLICAMENTE SAUDÁVEIS (MHO) E NÃO SAUDÁVEIS (MUO) DE ADOLESCENTES COM EXCESSO DE PESO
Palavras-chave:
Obesidade. Tratamento. Multiprofissional. Adolescente.
Resumo
A obesidade tem aumentado consideravelmente nas últimas décadas, tornando-se um problema de saúde pública. O desenvolvimento da obesidade está associado à um balanço energético positivo causado pelo excesso de ingestão energética e reduzido dispêndio energético. Apesar de a obesidade ter relação com os fenótipos metabolicamente saudáveis (MHO) e os metabolicamente não saudáveis (MUO), pouco se sabe sobre a relação entre a taxa metabólica basal (TMB) e os fenótipos MHO e MUO. Com isso, o objetivo do projeto é investigar a relação da TMB em adolescentes com excesso de peso classificados como MHO ou MUO, ingressantes em um Programa Multiprofissional de Tratamento da Obesidade (PMTO). Trata-se de um estudo retrospectivo de corte transversal com 50 adolescentes com excesso de peso, de ambos os sexos, com idade entre 15 e 18 anos, ingressantes em um PMTO. Para isso foram avaliados a TMB e os fenótipos, a antropometria e a composição corporal.
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Referências
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ARNLOV, Johan et al. Impact of body mass index and the metabolic syndrome on the risk of cardiovascular disease and death in middle-aged men. Circulation, v. 121, n. 2, p. 230-236, 2010.
ABESO - ASSOCIAÇÃO BRASILEIRA PARA O ESTUDO DA OBESIDADE E DA SÍNDROME METABÓLICA. Disponível em: http://www.abeso.org.br/atitude-saudavel/imc. Acesso em: 25/01/2019.
ANTONINI, Vanessa D. S. et al. Parâmetros físicos, clínicos e psicossociais de adolescentes com diferentes graus de excesso de peso. Revista Paulista de Pediatria, v. 32, n. 4, p. 342-350, 2014.
BLÜHER, Matthias. The distinction of metabolically ‘healthy’ from ‘unhealthy’ obese individuals. Current Opinion in Lipidology, v. 21, n. 1, p. 38-43, 2010.
BEREZINA, Aelita. et al. Prevalence, risk factors, and genetic traits in metabolically healthy and unhealthy obese individuals. BioMed Research International, v. 2015, 2015.
BRASIL – MINISTÉRIO DA SAÚDE. OBESIDADE E DESNUTRIÇÃO. Disponível em: http://bvsms.saude.gov.br/bvs/publicacoes/obesidade_desnutricao.pdf. Acesso em:25/01/2019.
COLE, Tim J.; LOBSTEIN, Tim. Extended international (IOTF) body mass index cut‐offs for thinness, overweight and obesity. Pediatric Obesity, v. 7, n. 4, p. 284-294, 2012.
CAMHI. Sarah M et al. Physical Activity and Screen Time in Metabolically Healthy Obese Phenotypes in Adolescents and Adults. Jornal of obesity, V. 2013, P. 1-10. 2013.
DUVAL, K. et al. Physical activity is a confounding factor of the relation between eating frequency and body composition. The American journal of clinical nutrition, v. 88, n. 5, p. 1200–1205, 2008.
DUNSTAN. D. W et al. Associations of TV viewing and physical activity with the metabolic syndrome in Australian adults. Springer-Verlag. V.48, P.2254-2261, 2005.
EKULEND. Ulf et al. TV Viewing and Physical Activity Are Independently Associated with Metabolic Risk in Children: The European Youth Heart Study. PLoS Medicine. V.3, N.12, P. 2449- 2457, 2006.
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HASHIMOTO, Yoshitaka et al. Metabolically healthy obesity and risk of incident CKD. Clinical Journal of the American Society of Nephrology, v. 10, n. 4, p. 578-583, 2015.
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KUK, Jennifer L.; ARDERN, Chris I. Are metabolically normal but obese individuals at lower risk for all-cause mortality? Diabetes Care, v. 32, n. 12, p. 2297-2299, 2009.
KESKIN, Mehmet et al. Homeostasis model assessment is more reliable than the fasting glucose/insulin ratio and quantitative insulin sensitivity check index for assessing insulin resistance among obese children and adolescents. Pediatrics, v. 115, n. 4, p. 500- 503, 2005.
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MATTHEWS, David R. et al. Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia, v. 28, n. 7, p. 412-419, 1985.
MCCARTHY, H. D. et al. Body fat reference curves for children. International Journal of Obesity, v. 30, n. 4, p. 598, 2006.
NG, Marie et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. The Lancet, v. 384, n. 9945, p. 766-781, 2014.
Novitsky S, Segal K. R, Chart-Aryamontri B, Guvakov D, Katch V. L. Validity of a new portable indirect calorimeter: the Aerosport TEEM 100. European journal of applied physiology and occupational physiology. 1975: v.70, n.5, p.462-7
Olsen Thomas P, Jennifer E. Tracy, Donald R. Dengel. Validity of a Low-Flow Pneumotach and Portable Metabolic Measurement System: The Open Sports Medicine Journal, 2008: v.2, p.23-27.TR
OLIVEIRA, Ronano P. et al. Visceral adiposity index as a predictor of cardiometabolic risk in children and adolescents. Revista Brasileira de Medicina do Esporte, v. 23, n. 3, p. 222-226, 2017.
PAJUELO, Jaime et al. Obeso metabólicamente normal. In: Anales de la Facultad de Medicina. UNMSM. Facultad de Medicina, p. 113-118, 2014.
PUJIA, Arturo et al. Individuals with metabolically healthy overweight/obesity have higher fat utilization than metabolically unhealthy individuals. Nutrients, v. 8, n. 1, p. 2, 2016.
PAJUNEN. Pia et al. Metabolically healthy and unhealthy obesity phenotypes in the general population: the FIN-D2D Survey. BMC Public Health.V.11, N.754, 2011.
PRINCE, Rhiannon L. et al. Predictors of metabolically healthy obesity in children. Diabetes Care, v. 37, n. 5, p. 1462-1468, 2014.
SCHMIDT, Maria I.et al. Doenças crônicas não-transmissíveis no Brasil: carga e desafios atuais. Lancet, v. 377, n. 9781, p. 1949-61, 2011.
SOCIEDADE BRASILEIRA DE CARDIOLOGIA et al. I Diretriz de Prevenção da Aterosclerose na Infância e na Adolescência. Arquivo Brasileiro de Cardiologia, v. 85, n. supl. 6, p. 3-36, 2005.
STAIANO, Amanda E.; GUPTA, Alok K.; KATZMARZYK, Peter T. Cardiometabolic risk factors and fat distribution in children and adolescents. The Journal of Pediatrics, v. 164, n. 3, p. 560-565, 2014.
WHO. WORLD HEALTH ORGANIZATION. Obesity and overweight. Disponível em: <http://www.who.int/mediacentre/factsheets/fs311/en/index.html>. Acesso em: 25 fev. 2016.
ARNLOV, Johan et al. Impact of body mass index and the metabolic syndrome on the risk of cardiovascular disease and death in middle-aged men. Circulation, v. 121, n. 2, p. 230-236, 2010.
ABESO - ASSOCIAÇÃO BRASILEIRA PARA O ESTUDO DA OBESIDADE E DA SÍNDROME METABÓLICA. Disponível em: http://www.abeso.org.br/atitude-saudavel/imc. Acesso em: 25/01/2019.
ANTONINI, Vanessa D. S. et al. Parâmetros físicos, clínicos e psicossociais de adolescentes com diferentes graus de excesso de peso. Revista Paulista de Pediatria, v. 32, n. 4, p. 342-350, 2014.
BLÜHER, Matthias. The distinction of metabolically ‘healthy’ from ‘unhealthy’ obese individuals. Current Opinion in Lipidology, v. 21, n. 1, p. 38-43, 2010.
BEREZINA, Aelita. et al. Prevalence, risk factors, and genetic traits in metabolically healthy and unhealthy obese individuals. BioMed Research International, v. 2015, 2015.
BRASIL – MINISTÉRIO DA SAÚDE. OBESIDADE E DESNUTRIÇÃO. Disponível em: http://bvsms.saude.gov.br/bvs/publicacoes/obesidade_desnutricao.pdf. Acesso em:25/01/2019.
COLE, Tim J.; LOBSTEIN, Tim. Extended international (IOTF) body mass index cut‐offs for thinness, overweight and obesity. Pediatric Obesity, v. 7, n. 4, p. 284-294, 2012.
CAMHI. Sarah M et al. Physical Activity and Screen Time in Metabolically Healthy Obese Phenotypes in Adolescents and Adults. Jornal of obesity, V. 2013, P. 1-10. 2013.
DUVAL, K. et al. Physical activity is a confounding factor of the relation between eating frequency and body composition. The American journal of clinical nutrition, v. 88, n. 5, p. 1200–1205, 2008.
DUNSTAN. D. W et al. Associations of TV viewing and physical activity with the metabolic syndrome in Australian adults. Springer-Verlag. V.48, P.2254-2261, 2005.
EKULEND. Ulf et al. TV Viewing and Physical Activity Are Independently Associated with Metabolic Risk in Children: The European Youth Heart Study. PLoS Medicine. V.3, N.12, P. 2449- 2457, 2006.
FARRET, J. F. Nutrição e doenças cardiovasculares: prevenção primária e secundária. [s.l.] Atheneu, 2005.
HASHIMOTO, Yoshitaka et al. Metabolically healthy obesity and risk of incident CKD. Clinical Journal of the American Society of Nephrology, v. 10, n. 4, p. 578-583, 2015.
HEINZLE, S.; BALL, Geoff D. C.; KUK, Jennifer L. Variations in the prevalence and predictors of prevalent metabolically healthy obesity in adolescents. Pediatric Obesity, v. 11, n. 5, p. 42F5-433, 2015.
IBGE. INSTITUTO BRASILEIRO DE GEOGRAFIA. Pesquisa de Orçamentos Familiares 2008-2009: antropometria e estado nutricional de crianças, adolescentes e adultos no Brasil. [s.l.] IBGE, 2010.
INGLE. Lee et al. Characterization of the Metabolically Healthy Phenotype in Overweight and Obese British Men. Department of Sport, Health & Exercise Science. P.1-14, 2016.
KARELIS, Antony D. Obesity: to be obese—does it matter if you are metabolically healthy? Nature Reviews Endocrinology, v. 7, n. 12, p. 699-700, 2011.
KUK, Jennifer L.; ARDERN, Chris I. Are metabolically normal but obese individuals at lower risk for all-cause mortality? Diabetes Care, v. 32, n. 12, p. 2297-2299, 2009.
KESKIN, Mehmet et al. Homeostasis model assessment is more reliable than the fasting glucose/insulin ratio and quantitative insulin sensitivity check index for assessing insulin resistance among obese children and adolescents. Pediatrics, v. 115, n. 4, p. 500- 503, 2005.
LOHMAN, Timothy G. et al. Anthropometric Standardization Reference Manual. Human kinetics books, 1988.
MATTHEWS, David R. et al. Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia, v. 28, n. 7, p. 412-419, 1985.
MCCARTHY, H. D. et al. Body fat reference curves for children. International Journal of Obesity, v. 30, n. 4, p. 598, 2006.
NG, Marie et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. The Lancet, v. 384, n. 9945, p. 766-781, 2014.
Novitsky S, Segal K. R, Chart-Aryamontri B, Guvakov D, Katch V. L. Validity of a new portable indirect calorimeter: the Aerosport TEEM 100. European journal of applied physiology and occupational physiology. 1975: v.70, n.5, p.462-7
Olsen Thomas P, Jennifer E. Tracy, Donald R. Dengel. Validity of a Low-Flow Pneumotach and Portable Metabolic Measurement System: The Open Sports Medicine Journal, 2008: v.2, p.23-27.TR
OLIVEIRA, Ronano P. et al. Visceral adiposity index as a predictor of cardiometabolic risk in children and adolescents. Revista Brasileira de Medicina do Esporte, v. 23, n. 3, p. 222-226, 2017.
PAJUELO, Jaime et al. Obeso metabólicamente normal. In: Anales de la Facultad de Medicina. UNMSM. Facultad de Medicina, p. 113-118, 2014.
PUJIA, Arturo et al. Individuals with metabolically healthy overweight/obesity have higher fat utilization than metabolically unhealthy individuals. Nutrients, v. 8, n. 1, p. 2, 2016.
PAJUNEN. Pia et al. Metabolically healthy and unhealthy obesity phenotypes in the general population: the FIN-D2D Survey. BMC Public Health.V.11, N.754, 2011.
PRINCE, Rhiannon L. et al. Predictors of metabolically healthy obesity in children. Diabetes Care, v. 37, n. 5, p. 1462-1468, 2014.
SCHMIDT, Maria I.et al. Doenças crônicas não-transmissíveis no Brasil: carga e desafios atuais. Lancet, v. 377, n. 9781, p. 1949-61, 2011.
SOCIEDADE BRASILEIRA DE CARDIOLOGIA et al. I Diretriz de Prevenção da Aterosclerose na Infância e na Adolescência. Arquivo Brasileiro de Cardiologia, v. 85, n. supl. 6, p. 3-36, 2005.
STAIANO, Amanda E.; GUPTA, Alok K.; KATZMARZYK, Peter T. Cardiometabolic risk factors and fat distribution in children and adolescents. The Journal of Pediatrics, v. 164, n. 3, p. 560-565, 2014.
WHO. WORLD HEALTH ORGANIZATION. Obesity and overweight. Disponível em: <http://www.who.int/mediacentre/factsheets/fs311/en/index.html>. Acesso em: 25 fev. 2016.
Publicado
2021-01-23
Como Citar
Geovanni Marcos de Oliveira, Igor Alisson Spagnol Pereira, Greice Westphal, Fernando Malentaqui Martins, & Nelson Nardo Junior. (2021). CORRELAÇÃO ENTRE A TAXA METABÓLICA BASAL (TMB) E OS FENÓTIPOS METABOLICAMENTE SAUDÁVEIS (MHO) E NÃO SAUDÁVEIS (MUO) DE ADOLESCENTES COM EXCESSO DE PESO. Revista Prisma, 1(3). Recuperado de https://revistaprisma.emnuvens.com.br/prisma/article/view/34
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