Energy expenditure

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Energy expenditure, often estimated as the total daily energy expenditure (TDEE), is the amount of energy burned by the human body.

Contents

Causes of energy expenditure

Resting metabolic rate

Resting metabolic rate generally composes 60 to 75 percent of TDEE. [1] Because adipose tissue does not use much energy to maintain, fat free mass is a better predictor of metabolic rate. A taller person will typically have less fat mass than a shorter person at the same weight and therefore burn more energy. Men also carry more skeletal muscle tissue on average than women, and other sex differences in organ size account for sex differences in metabolic rate. Obese individuals burn more energy than lean individuals due to increase in the amount of calories needed to maintain adipose tissue and other organs that grow in size in response to obesity. [2] At rest, the largest fractions of energy are burned by the skeletal muscles, brain, and liver; around 20 percent each. [2] Increasing skeletal muscle tissue can increase metabolic rate. [1]

Activity

Energy burned during physical activity includes the exercise activity thermogenesis (EAT) and non-exercise activity thermogenesis (NEAT). [1]

Thermic effect of food

Thermic effect of food is the amount of energy burned digesting food, around 10 percent of TDEE. Proteins are the component of food requiring the most energy to digest. [3]

Changing energy expenditure

Weight change

Losing or gaining weight affects the energy expenditure. Reduced energy expenditure after weight loss can be a major challenge for people seeking to avoid weight regain after weight loss. [4] It is controversial whether losing weight causes a decrease in energy expenditure greater than expected by the loss of adipose tissue and fat-free mass during weight loss. [5] This excess reduction is termed adaptive thermogenesis and it is estimated that it might compose 50 to 100 kcal/day in people actively losing weight. Some studies have reported that it disappears after a short period of weight stability, while others report longer-lasting effects. [2]

Changing the activity level

Increasing exercise is recommended as a way to increase energy expenditure in individuals seeking to lose weight. [6] [7]

Drugs

Some drugs used for weight loss work by increasing energy expenditure. Two of the earliest weight loss drugs, 2,4-dinitrophenol and thyroid hormone, increase energy expenditure, but both were withdrawn from use due to risks. [8] Adrenergic agonists, especially those that work on the beta-2 adrenergic receptor, increase energy expenditure. Although some such as clenbuterol are used without medical approval for weight loss, none have achieved approval for this indication due to cardiac risks. [8] [9]

Other drugs such as atypical antipsychotics are believed to reduce energy expenditure. [10] [11]

Effects

Energy expenditure is a leading factor in regulating appetite and energy intake in humans. [12]

Measurement

Formulas have been devised to estimate energy expenditure in humans, but they may not be accurate. Specifically they may not account for the effect of certain illnesses [13] [14] [15] or the elderly. [16] Not all formula are accurate in overweight or obese individuals. [17] Online tools, such as Total Daily Energy Expenditure (TDEE) calculators, are commonly used to estimate individual energy needs based on factors like age, gender, weight, height, and activity level [18] .

Traditional models for measuring human energy expenditure assumes that on's total energy expenditure (TEE) is the simple additive sum of the measurement of each part of the body (e.g., [resting metabolic rate], skeletal movement, and non-movement energy expenditures such as reproduction, digestion, immune system, etc.). [19] Yet recent evidence suggests that -- that the additive model may only be accurate only up to an initial daily energy tipping point, after which the sum of the activities do not result in more energy expenditure, thus reflecting a constrained metabolic system. This is called the constrained daily energy expenditure model [20]

Wearable devices can help estimate energy expenditure from physical activity but their accuracy varies. [21]

References

  1. 1 2 3 Comana, Fabio. "Resting Metabolic Rate: How to Calculate and Improve Yours". blog.nasm.org. Retrieved 15 October 2023.
  2. 1 2 3 Heymsfield, Steven B.; Smith, Brooke; Dahle, Jared; Kennedy, Samantha; Fearnbach, Nicole; Thomas, Diana M.; Bosy-Westphal, Anja; Müller, Manfred J. (March 2021). "Resting Energy Expenditure: From Cellular to Whole-Body Level, a Mechanistic Historical Perspective". Obesity. 29 (3): 500–511. doi:10.1002/oby.23090. PMID   33624441. S2CID   232021492.
  3. "Energy Balance: Totaling Up Energy Expenditure". Obesity Prevention Source. 21 October 2012. Retrieved 15 October 2023.
  4. Müller, Manfred J.; Enderle, Janna; Bosy-Westphal, Anja (1 December 2016). "Changes in Energy Expenditure with Weight Gain and Weight Loss in Humans". Current Obesity Reports. 5 (4): 413–423. doi: 10.1007/s13679-016-0237-4 . ISSN   2162-4968. PMC   5097076 . PMID   27739007.
  5. Schwartz, Alexander; Kuk, Jennifer L.; Lamothe, Gilles; Doucet, Éric (November 2012). "Greater Than Predicted Decrease in Resting Energy Expenditure and Weight Loss: Results From a Systematic Review". Obesity. 20 (11): 2307–2310. doi: 10.1038/oby.2012.34 . PMID   22327054.
  6. Washburn, R. A.; Lambourne, K.; Szabo, A. N.; Herrmann, S. D.; Honas, J. J.; Donnelly, J. E. (February 2014). "Does increased prescribed exercise alter non-exercise physical activity/energy expenditure in healthy adults? A systematic review". Clinical Obesity. 4 (1): 1–20. doi: 10.1111/cob.12040 . ISSN   1758-8103. PMC   5996763 . PMID   25425128.
  7. Wiklund, Petri (June 2016). "The role of physical activity and exercise in obesity and weight management: Time for critical appraisal". Journal of Sport and Health Science. 5 (2): 151–154. doi: 10.1016/j.jshs.2016.04.001 . PMC   6188737 . PMID   30356545.
  8. 1 2 Christoffersen, Berit Østergaard; Sanchez-Delgado, Guillermo; John, Linu Mary; Ryan, Donna H.; Raun, Kirsten; Ravussin, Eric (April 2022). "Beyond appetite regulation: Targeting energy expenditure, fat oxidation, and lean mass preservation for sustainable weight loss". Obesity. 30 (4): 841–857. doi:10.1002/oby.23374. ISSN   1930-7381. PMC   9310705 . PMID   35333444.
  9. Kumari, Sweta; Pal, Biplab; Sahu, Sanjeev Kumar; Prabhakar, Pranav Kumar; Tewari, Devesh (1 July 2023). "Adverse events of clenbuterol among athletes: a systematic review of case reports and case series" . International Journal of Legal Medicine. 137 (4): 1023–1037. doi:10.1007/s00414-023-02996-1. ISSN   1437-1596. PMID   37062796. S2CID   258178293.
  10. Singh, Raghunath; Bansal, Yashika; Medhi, Bikash; Kuhad, Anurag (February 2019). "Antipsychotics-induced metabolic alterations: Recounting the mechanistic insights, therapeutic targets and pharmacological alternatives". European Journal of Pharmacology. 844: 231–240. doi:10.1016/j.ejphar.2018.12.003. PMID   30529195. S2CID   54482216.
  11. Cuerda, C.; Velasco, C.; Merchán-Naranjo, J.; García-Peris, P.; Arango, C. (February 2014). "The effects of second-generation antipsychotics on food intake, resting energy expenditure and physical activity". European Journal of Clinical Nutrition. 68 (2): 146–152. doi: 10.1038/ejcn.2013.253 . ISSN   1476-5640. PMID   24327118.
  12. Blundell, John E; Gibbons, Catherine; Beaulieu, Kristine; Casanova, Nuno; Duarte, Cristiana; Finlayson, Graham; Stubbs, R James; Hopkins, Mark (May 2020). "The drive to eat in homo sapiens: Energy expenditure drives energy intake" (PDF). Physiology & Behavior. 219: 112846. doi:10.1016/j.physbeh.2020.112846. PMID   32081814. S2CID   211141215.
  13. Mazzo, Rafaela; Ribeiro, Francieli Barreiro; Vasques, Ana Carolina Junqueira (February 2020). "Accuracy of predictive equations versus indirect calorimetry for the evaluation of energy expenditure in cancer patients with solid tumors – An integrative systematic review study". Clinical Nutrition ESPEN. 35: 12–19. doi:10.1016/j.clnesp.2019.11.001. PMID   31987104. S2CID   210935787.
  14. Genton, L.; Viatte, V.; Janssens, J. -P.; Héritier, A. -C.; Pichard, C. (1 October 2011). "Nutritional state, energy intakes and energy expenditure of amyotrophic lateral sclerosis (ALS) patients" . Clinical Nutrition. 30 (5): 553–559. doi:10.1016/j.clnu.2011.06.004. ISSN   0261-5614. PMID   21798636.
  15. Santos, Bárbara Chaves; Correia, Maria Isabel Toulson Davisson; Anastácio, Lucilene Rezende (March 2021). "Energy Expenditure and Liver Transplantation: What We Know and Where We Are". Journal of Parenteral and Enteral Nutrition. 45 (3): 456–464. doi: 10.1002/jpen.1985 . hdl: 1843/40766 . PMID   32744332.
  16. Cioffi, Iolanda; Marra, Maurizio; Pasanisi, Fabrizio; Scalfi, Luca (May 2021). "Prediction of resting energy expenditure in healthy older adults: A systematic review". Clinical Nutrition. 40 (5): 3094–3103. doi: 10.1016/j.clnu.2020.11.027 . hdl: 2434/953871 . PMID   33288302.
  17. Macena, Mateus de Lima; Paula, Déborah Tenório da Costa; da Silva Júnior, André Eduardo; Praxedes, Dafiny Rodrigues Silva; Pureza, Isabele Rejane de Oliveira Maranhão; de Melo, Ingrid Sofia Vieira; Bueno, Nassib Bezerra (10 October 2022). "Estimates of resting energy expenditure and total energy expenditure using predictive equations in adults with overweight and obesity: a systematic review with meta-analysis". Nutrition Reviews. 80 (11): 2113–2135. doi: 10.1093/nutrit/nuac031 . PMID   35551409.
  18. "TDEE Calculator". TDEE Calculator.{{cite web}}: CS1 maint: url-status (link)
  19. FAO, WHO (2001). Human energy requirements Report of a Joint FAO/WHO/UNU Expert Consultation (Report of a joint FAO/WHO/UNU expert consultation (FAO food and nutrition technical report series, no. 1). ed.). Rome: Food and Agriculture Organization. ISBN   92-5-105212-3.
  20. Pontzer, Herman (2021). Burn: New Research Blows the Lid Off How We Really Burn Calories, Lose Weight, and Stay Healthy. United States: Penguin Publishing Group.
  21. O’Driscoll, Ruairi; Turicchi, Jake; Beaulieu, Kristine; Scott, Sarah; Matu, Jamie; Deighton, Kevin; Finlayson, Graham; Stubbs, James (1 March 2020). "How well do activity monitors estimate energy expenditure? A systematic review and meta-analysis of the validity of current technologies". British Journal of Sports Medicine. 54 (6): 332–340. doi: 10.1136/bjsports-2018-099643 . ISSN   0306-3674. PMID   30194221.