Reeves MM, Capra S. Predicting energy requirements in the clinical setting: are current methods evidence based? Nutr Rev. 2003;61:143–51.
Tharion WJ, Lieberman HR, Montain SJ, et al. Energy requirements of military personnel. Appetite. 2005;44:47–65.
Schoeller DA, van Santen E. Measurement of energy expenditure in humans by doubly labeled water method. J Appl Physiol Respir Environ Exerc Physiol. 1982;53:955–9.
Green AJ, Smith P, Whelan K. Estimating resting energy expenditure in patients requiring nutritional support: a survey of dietetic practice. Eur J Clin Nutr. 2008;62:150–3.
Judges D, Knight A, Graham E, Goff LM. Estimating energy requirements in hospitalised underweight and obese patients requiring nutritional support: a survey of dietetic practice in the United Kingdom. Eur J Clin Nutr. 2012;66:394–8.
Harris JA, Benedict FG. A biometric study of human basal metabolism. Proc Natl Acad Sci USA. 1918;4:370–3.
Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YO. A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr. 1990;51:241–7.
Westerterp KR. Doubly labelled water assessment of energy expenditure: principle, practice, and promise. Eur J Appl Physiol. 2017;117:1277–85.
FAO/ WHO/UNU Expert Consultation. Human energy requirements: report of a joint FAO/ WHO/UNU expert consultation. Food Nutr Bull. 2005;26:166
Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40:181–8.
Livingston EH, Kohlstadt I. Simplified resting metabolic rate-predicting formulas for normal-sized and obese individuals. Obes Res. 2005;13:1255–62.
Goran MI. Estimating energy requirements: regression based prediction equations or multiples of resting metabolic rate. Public Health Nutr. 2005;8:1184–6.
Vinken AG, Bathalon GP, Sawaya AL, Dallal GE, Tucker KL, Roberts SB. Equations for predicting the energy requirements of healthy adults aged 18-81y. Am J Clin Nutr. 1999;69:920–6.
Heo M, Faith MS, Pietrobelli A, Heymsfield SB. Percentage of body fat cutoffs by sex, age, and race-ethnicity in the US adult population from NHANES 1999-2004. Am J Clin Nutr. 2012;95:594–602.
Stevens J, Ou FS, Cai J, Heymsfield SB, Truesdale KP. Prediction of percent body fat measurements in Americans 8 years and older. Int J Obes (Lond). 2016;40:587–94.
Cunningham JJ. Body composition as a determinant of energy expenditure: a synthetic review and a proposed general prediction equation. Am J Clin Nutr. 1991;54:963–9.
Institute of Medicine (U.S.). Panel on Macronutrients., Institute of Medicine (U.S.). Standing Committee on the Scientific Evaluation of Dietary Reference Intakes. Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty acids, Cholesterol, Protein, and Amino acids. Washington, DC: National Academies Press; 2005.
Levine JA, Eberhardt NL, Jensen MD. Role of nonexercise activity thermogenesis in resistance to fat gain in humans. Science. 1999;283:212–4.
Hand GA, Shook RP, Paluch AE, et al. The Energy Balance Study: the design and baseline results for a longitudinal study of energy balance. Res Q Exerc Sport. 2013;84:1–12.
Roberts SB, Dietz W, Sharp T, Dallal GE, Hill JO. Multiple laboratory comparison of the doubly labeled water technique. Obes Res. 1995;3(Suppl 1):3–13.
Van Der Ploeg GE, Withers RT, Laforgia J. Percent body fat via DEXA: comparison with a four-compartment model. J Appl Physiol (1985). 2003;94:499–506.
Trabulsi J, Troiano RP, Subar AF, et al. Precision of the doubly labeled water method in a large-scale application: evaluation of a streamlined-dosing protocol in the Observing Protein and Energy Nutrition (OPEN) study. Eur J Clin Nutr. 2003;57:1370–7.
DeGregory KW, Kuiper P, DeSilvio T, et al. A review of machine learning in obesity. Obes Rev. 2018;19:668–85.
Sabounchi NS, Rahmandad H, Ammerman A. Best-fitting prediction equations for basal metabolic rate: informing obesity interventions in diverse populations. Int J Obes (Lond). 2013;37:1364–70.
Murakami H, Kawakami R, Nakae S, et al. Accuracy of wearable devices for estimating total energy expenditure: comparison with metabolic chamber and doubly labeled water method. JAMA Intern Med. 2016;176:702–3.
Evenson KR, Goto MM, Furberg RD. Systematic review of the validity and reliability of consumer-wearable activity trackers. Int J Behav Nutr Phys Act. 2015;12:159.
Plasqui G, Westerterp KR. Physical activity assessment with accelerometers: an evaluation against doubly labeled water. Obes (Silver Spring). 2007;15:2371–9.
Plasqui G, Bonomi AG, Westerterp KR. Daily physical activity assessment with accelerometers: new insights and validation studies. Obes Rev. 2013;14:451–62.
Westreich D, Lessler J, Funk MJ. Propensity score estimation: neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regression. J Clin Epidemiol. 2010;63:826–33.
Heymsfield SB, Pietrobelli A. Body size and human energy requirements: reduced mass-specific total energy expenditure in tall adults. Am J Hum Biol. 2010;22:301–9.