References
- Haugen HA, Chan LN, Li F. Indirect calorimetry: a practical guide for clinicians. Nutr Clin Pract 2007;22:377–88
- Melo CM, Tirapegui J, Ribeiro SML. Gasto energético corporal: conceitos, formas de avaliação e sua relação com a obesidade. Arq Bras Endocrinol Metab 2008;52:452–64
- Rodrigues AE, Marostegan PF, Mancini MC, et al. Análise da taxa metabólica de repouso por calorimetria indireta em mulheres obesas com baixa e alta ingestão calórica. Arq Bras Endocrinol Metab 2008;52:76–84
- Institute of Medicine//Food and Nutrition Board. Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein and aminoacids ((macronutrients))Washington: National Academy Press, 2002
- Report of a Joint FAO//WHO//UNU Expert Consultation. WHO Technical Report Series, 724. Energy and protein requirements. Geneva: World Health Organization, 1985
- Schofield WN. Predicting resting metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr 1985;39:5–41
- Henry CJ, Rees DG. New predictive equations for the estimation of resting metabolic rate in tropical peoples. Eur J Clin Nutr 1992;45:177–85
- Santos RDS, Suen VMM, Iannetta O, Marchini JS. Climacteric, physically active women ingesting their routine diet oxidize more carbohydrates than lipids. Climacteric 2008;11:454–60
- Wahrlich V, Anjos LA. Validação de equações de predição da taxa metabólica resting em mulheres residentes em Porto Alegre, RS, Brasil. Rev Saúde Públ 2001;35:39–45
- Suen VMM, Silva GA, Tannus AF, Unamuno MR, Marchini JS. Effect of hypocaloric meals with different macronutrient compositions on energy metabolism and lung function in obese women. Nutrition 2003;19:703–7
- Weir JB. New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol 1949;109:1–9
- Matsudo S, Araújo T, Matsudo V, et al. Questionário internacional de atividade física ((IPAQ)): estudo de validação e reprodutibilidade no Brasil. Rev Bras Ativ Fís 2001;6:5–18
- St. Laurent ET. Evaluating agreement with a gold standard in method comparison studies. Biometrics 1998;54:537–45
- SAS//STAT® User's Guide Version 9. Cary, NC, USA: SAS Institute Inc., 2002–2003
- Bland MJ, Altman GD. Comparing methods of measurement: why plotting difference against standard method is misleading. Lancet 1995;346:1085–7
- R Development Core Team ((2009)). R: A language and environment for statistical computing. R Foundation for Statistical ComputingVienna, Austria. ISBN 3-900051-07-0, URL http:////www.R-project.org
- Suen VMM, Bombig GT, Rosa FT, et al. Avaliação clínica retrospectiv a de mulheres no período do climatério: a importância da prevenção. Femina 2006;34:607–12
- Montilla RMG, Marucci MFN, Aldrighi JN. Avaliação do estado nutricional e do consumo alimentar de mulheres no climatério. Rev Assoc Med Bras 2003;49:91–5
- Pasquali R, Casimirri F, Labate AM, et al. Body weight, fat distribution and the menopausal status in women. The VMH Collaborative Group. Int J Obes Relat Metab Disord 1994;18:614–21
- Douchi T, Yamamoto S, Oki T, et al. The effects of physical exercise on body fat distribution and bone mineral density in postmenopausal women. Maturitas 2000;35:25–30
- Douchi T, Yonehara Y, Kawamura Y, Kuwahata A, Kuwahata T, Iwamoto I. Difference in segmental lean and fat mass components between pre- and postmenopausal women. Menopause 2007;14:875–8
- Poehlman ET, Goran MI, Gardner AW, et al. Determinants of decline in resting metabolic rate in aging females. Am J Physiol 1993;264:450–5
- Harris JA, Benedict FG. A Biometric Study of Resting Metabolism in Man. Boston: Carnegie Institution of Washington. 1919
- Cruz CM, Silva AF, Anjos LA. A taxa metabólica resting é superestimada pelas equações preditivas em universitárias do Rio de Janeiro, Brasil. Arch Latinoam Nutr 1999;49:232–7