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Prediction of energy expenditure in a whole body indirect calorimeter at both low and high levels of physical activity

Abstract

OBJECTIVES: In studies that involve the use of a room calorimeter, 24 h energy intake is often larger than 24 h energy expenditure (24 h EE) because of a decrease in activity energy expenditure due to the confined space. This positive energy balance can have large consequences for the interpretation of substrate balances. The objective of this study was to develop a method for predicting an individual's 24 h EE in a room calorimeter at both low (1.4×RMR) and high (1.8×RMR) levels of physical activity.

METHODS: Two methods are presented that predict an individual's 24 h EE in a metabolic chamber. The first method was based on three components: (1) a 30 min measurement of resting metabolic rate (RMR) using a ventilated hood system; (2) measurement of exercise energy expenditure during 10 min of treadmill walking; and (3) estimation of free-living energy expenditure using a tri-axial motion sensor. Using these measurements we calculated the amount of treadmill time needed for each individual in order to obtain a total 24 h EE at either a low (1.4×RMR) or a high (1.8×RMR) level of physical activity. We also developed a method to predict total 24 h EE during the chamber stay by using the energy expenditure values for the different levels of activity as measured during the hours already spent in the chamber. This would provide us with a tool to adjust the exercise time and/or energy intake during the chamber stay.

RESULTS: Method 1: there was no significant difference in expected and measured 24 h EE under either low (9.35±0.56 vs 9.51±0.47 MJ/day; measured vs predicted) or high activity conditions (13.41±0.74 vs 13.97±0.78 MJ/day; measured vs predicted). Method 2: the developed algorithm predicted 24 h EE for 97.6±4.0% of the final value at 3 h into the test day, and for 98.6±3.7% at 7 h into the test day.

CONCLUSION: Both methods provide accurate prediction of energy expenditure in a room calorimeter at both high and low levels of physical activity. It equally shows that it is possible to accurately predict total 24 h EE from energy expenditure values obtained at 3 and 7 h into the study.

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References

  1. Smith SR, de Jonge L, Zachwieja JJ, Roy H, Nguyen T, Rood JC, Windhauser MM, Bray GA . Fat and carbohydrate balances during the adaptation to a high-fat diet Am J Clin Nutr 2000 72: 450–457.

    Article  Google Scholar 

  2. Schrauwen P, van Marken-Lichtenbelt WD, Saris WH, Westerterp KR . Changes in fat oxidation in response to a high-fat diet Am J Clin Nutr 1997 66: 276–282.

    Article  CAS  Google Scholar 

  3. Schutz Y, Flatt JP, Je´quier E . Failure of dietary fat intake to promote fat oxidation: a factor of favoring the development of obesity Am J Clin Nutr 1989 50: 307–314.

    Article  CAS  Google Scholar 

  4. Astrup A, Buemann B, Christensen NJ, Toubro S . Failure to increase lipid oxidation in response to increasing dietary fat content in formerly obese women Am J Physiol 1994 266: E592–E599.

    CAS  PubMed  Google Scholar 

  5. Jebb SA, Prentice AM, Goldberg GR, Murgatroyd PR, Black AE, Coward WA . Changes in macronutrient balance during over- and underfeeding assessed by 12-h continuous whole body calorimetry Am J Clin Nutr 1996 64: 259–266.

    Article  CAS  Google Scholar 

  6. Abbott WGH, Howard BV, Christin L, Freymond D, Lillioja S, Boyce VL, Anderson TC, Ravussin E . Short-term energy balance: relationship with protein, carbohydrate and fat balances Am J Physiol 1988 225: E332–E337.

    Google Scholar 

  7. Murgatroyd PR, Goldberg GR, Leahy FE, Gilsenan MB, Prentice AM . Effects of inactivity and diet composition on human energy balance Int J Obes Relat Metab Disord 1999 22: 1269–1275.

    Article  Google Scholar 

  8. Buemann B, Toubro S, Astrup A . Substrate oxidation and thyroid hormone response to the introduction of a high fat diet in formerly obese women Int J Obes Relat Metab Disord 1998 22: 869–877.

    Article  CAS  Google Scholar 

  9. Dalosso HM, James WP . Whole-body calorimetry studies in adult men. 1. The effect of fat-overfeeding on 24-h energy expenditure Br J Nutr 1984 52: 49–64.

    Article  Google Scholar 

  10. Ravussin E, Lillioja S, Anderson TE, Christin L, Bogardus C . Determinants of 24-h energy expenditure in man. Methods and results using a respiratory chamber J Clin Invest 1986 87: 1568–1578.

    Article  Google Scholar 

  11. Zurlo F, Lillioja S, Esposito DPA, Nyomba BL, Raz I, Saad MF, Swinburn BA, Knowler WC, Bogardus C, Ravussin E . Low ratio of fat to carbohydrate oxidation as predictor of weight gain: study of 24-h RQ Am J Physiol 1990 259: E650–657.

    CAS  PubMed  Google Scholar 

  12. Verboeket-van de Venne WPGH, Westerterp KR, ten Hoor F . Substrate utilization in man: effects of dietary fat and carbohydrate Metabolism 1994 43: 152–156.

    Article  CAS  Google Scholar 

  13. Hill JO, Peters JC, Reed GW, Schlundt DG, Sharp T, Greene HL . Nutrient balance in humans: effects of diet composition Am J Clin Nutr 1991 54: 10–17.

    Article  CAS  Google Scholar 

  14. White MD, Bouchard C, Buemann B, Alme´ras N, Despres J-P, Bouchard C, Tremblay A . Reproducibility of 24-h energy expenditure and macronutrient oxidation rates in an indirect calorimeter J Appl Physiol 1996 80: 133–139.

    Article  CAS  Google Scholar 

  15. Roy HJ, Lovejoy JC, Keenen MJ, Bray GA, Windhauser MM, Wilson JK . Substrate oxidation and energy expenditure in athletes and nonathletes consuming isoenergetic high- and low-fat diets Am J Clin Nutr 1998 67: 405–411.

    Article  CAS  Google Scholar 

  16. Rumpler WV, Seale JL, Conway JM, Moe PW . Repeatability of 24-h energy expenditure measurements in humans by indirect calorimetry Am J Clin Nutr 1990 51: 147–152.

    Article  CAS  Google Scholar 

  17. Boer J de, Es AJ van, Vogt JE, Raaij JMA van, Hautvast JGAJ . Reproducibility of 24-h energy expenditure measurements using a human whole body indirect calorimeter Br J Nutr 1987 57: 201–209.

    Article  Google Scholar 

  18. Schrauwen P, van Marken Lichtenbelt WD, Westerterp KR . Energy balance in a respiration chamber: individual adjustment of energy intake to energy expenditure Int J Obes Relat Metab Disord 1997 21: 769–774.

    Article  CAS  Google Scholar 

  19. Acheson KJ, Schutz Y, Bessard T, Ravussin E, Je´quier E, Flatt JP . Nutritional influences on lipogenesis and thermogenesis after a carbohydrate meal Am J Physiol 1984 246: E62–E70.

    CAS  PubMed  Google Scholar 

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Acknowledgements

This work was supported by the United States Department of Agriculture, grant no. 96034323-3031.

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Correspondence to L de Jonge.

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de Jonge, L., Nguyen, T., Smith, S. et al. Prediction of energy expenditure in a whole body indirect calorimeter at both low and high levels of physical activity. Int J Obes 25, 929–934 (2001). https://doi.org/10.1038/sj.ijo.0801656

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