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The prediction of basal metabolic rate in female patients with anorexia nervosa

International Journal of Obesity volume 25, pages 359–364 (2001)Cite this article

Abstract

OBJECTIVE: To evaluate in female patients with anorexia nervosa the accuracy of a specific predictive formula for basal metabolic rate (BMR) already proposed in the literature and to derive a new disease-specific equation with the same purpose.

DESIGN: Cross-sectional study.

SUBJECTS: One-hundred and twenty adolescent girls (<18 y) and young-adult women (18–30 y) with anorexia nervosa.

MEASUREMENTS: BMR was determined by indirect calorimetry or predicted according to the Schebendach formula, which was specifically derived for anorexia nervosa.

RESULTS: On average the Schebendach formula performed well in the adolescent group but not in the young-adult group. The range including 95% of the predicted–measured differences was in both cases wider than 2000 kJ/day. In the young-adult patients the accuracy of the prediction was also related to age and body mass index. Weight and age (but not height or body mass index) emerged as predictors of BMR in the sample as a whole, and only weight when the two age groups were considered separately, thus leading to three different equations. The intercepts of these regression lines were very close and not significantly different from zero while their standard error of estimate was 500–550 kJ/day.

CONCLUSION: The Schebendach formula is not very accurate in estimating the BMR of female anorectic patients. Moreover, in this group the relationship between BMR and weight was altered. The predictive formulas proposed by the present study have a reasonable prediction power.

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References

  1. Commission of the European Communities . Nutrient and energy intakes for the European Community Reports of the Scientific Committee for Foods Office for the Official Publications of the European Communities: Luxembourg 1993.

    Google Scholar 

  2. Harris JA, Benedict FG . A biometric study of basal metabolism in man publication no 279. Carnegie Institution of Washington: Washington, DC 1919.

    Google Scholar 

  3. Schofield WN, Schofield C, James WPT . Basal metabolic rate. Review and prediction together with an annotated bibliography of source material Hum Nutr Clin Nutr 1985 39C (Suppl 1): 5–96.

    Google Scholar 

  4. British Dietetic Association . Estimation of nutritional requirements for the provision of nutritional support. In: Thomas B (ed). Manual of dietetic practice Blackwell Science: Oxford 1994 58–64.

  5. Ireton-Jones CS, Jones JD . Should predictive equations or indirect calorimetry be used to design nutrition support regimens? Predictive equations should be used Nutr Clin Pract 1998 13: 141–145.

    Article  Google Scholar 

  6. Stordy JB, Marks V, Path FRC, Kalucy RS, Crisp AH . Weight gain, thermic effect of glucose and resting metabolic rate during recovery from anorexia nervosa Am J Clin Nutr 1977 30: 128–146.

    Article  Google Scholar 

  7. Dempsey DT, Crosby LO, Pertschuk MJ, Feuer ID, Buzby GP, Mullen JL . Weight gain and nutritional efficacy in anorexia nervosa Am J Clin Nutr 1984 39: 236–242.

    Article  CAS  Google Scholar 

  8. Forbes GB, Kreipe RE, Lipinski BA, Hodgman CH . Body composition changes during recovery from anorexia nervosa: comparison of two dietary regimes Am J Clin Nutr 1984 40: 1137–1145.

    Article  CAS  Google Scholar 

  9. Vaisman N, Rossi MF, Goldberg E, Dibden LJ, Wykes LJ, Percharz PB . Energy expenditure and body composition in patients with anorexia nervosa J Pediatr 1988 113: 919–924.

    Article  CAS  Google Scholar 

  10. Melchior JC, Rigaud D, Rozen R, Malon D, Apfelbaum M . Energy expenditure economy induced by decrease in lean body mass in anorexia nervosa Eur J Clin Nutr 1989 43: 793–799.

    CAS  PubMed  Google Scholar 

  11. Vaisman N, Rossi MF, Corey M, Clarke R, Goldberg E, Pencharz PB . Effect of refeeding on the energy metabolism of adolescent girls who have anorexia nervosa Eur J Clin Nutr 1991 45: 527–537.

    CAS  PubMed  Google Scholar 

  12. Casper RC, Schoeller DA, Kushner R, Hnilicka J, Trainer Gold S . Total daily energy expenditure and activity level in anorexia nervosa Am J Clin Nutr 1991 53: 1143–1150.

    Article  CAS  Google Scholar 

  13. Scalfi L, Di Biase G, Sapio C, Coltorti A, Contaldo F . Bioimpedance analysis and resting energy expenditure in undernourished and refed anorectic patients Eur J Clin Nutr 1993 47: 61–67.

    CAS  PubMed  Google Scholar 

  14. Krahn DD, Rock C, Dechert R, Nairn KK, Hasse SA . Changes in resting energy expenditure and body composition in anorexia nervosa patients during refeeding J Am Diet Assoc 1993 93: 434–438.

    Article  CAS  Google Scholar 

  15. Obarzanek E, Lesem MD, Jimerson DC . Resting metabolic rate of anorexia nervosa patients during weight gain Am J Clin Nutr 1994 60: 666–675.

    Article  CAS  Google Scholar 

  16. Platte P, Pirke KM, Trimborn P, Pietsch K, Krieg JC, Fitchter MM . Resting metabolic rate and total energy expenditure in acute and weight recovered patients with anorexia nervosa and in healthy young women Int J Eat Disord 1994 16: 45–52.

    Article  CAS  Google Scholar 

  17. Schebendach J, Golden NH, Jacobson MS, Arden M, Pettei M, Hardoff D, Bauman N, Reichert P, Copperman N, Hertz S, Shenker IR . Indirect calorimetry in the nutritional management of eating disorders Int J Eat Disord 1995 17: 59–66.

    Article  CAS  Google Scholar 

  18. Pichard C, Kyle UG, Slosman DO, Penalosa B . Energy expenditure in anorexia nervosa: can fat-free mass as measured by bioelectrical impedance predict energy expenditure in hospitalized patients? Clin Nutr 1996 15: 109–114.

    Article  CAS  Google Scholar 

  19. van Marken Lichtenbelt WD, Heidendal GAK, Westerterp KR . Energy expenditure and physical activity in relation to mineral density in women with anorexia nervosa Eur J Clin Nutr 1997 51: 826–830.

    Article  CAS  Google Scholar 

  20. Schebendach JE, Golden NH, Jacobson MS, Hertz S, Shenker IR . The metabolic responses to starvation and refeeding in adolescents with anorexia nervosa Ann NY Acad Sci 1997 817: 110–119.

    Article  CAS  Google Scholar 

  21. Moukaddem M, Boulier A, Apfelbaum M, Rigaud D . Increase in diet-induced thermogenesis at the start of refeeding in severely malnourished anorexia nervosa patients Am J Clin Nutr 1997 66: 133–140.

    Article  CAS  Google Scholar 

  22. American Psychiatric Association . DSM IV: diagnostic and statistical manual of mental disorders American Psychiatric Association: Washington, DC 1994.

    Google Scholar 

  23. Weir JB de V . New methods for calculating metabolic rate with special reference to protein metabolism J Physiol 1949 109: 1–9.

    Article  Google Scholar 

  24. Bland JM, Altman DG . Statistical methods for assessing agreement between two methods of clinical measurement Lancet 1986 I: 307–310.

    Article  Google Scholar 

  25. Heusner AA . Body size and energy metabolism Annu Rev Nutr 1985 5: 267–293.

    Article  CAS  Google Scholar 

  26. Westerterp KR . Obesity and physical activity Int J Obes Relat Metab Disord 1999 23 (Suppl 1): S59–S64.

    Article  Google Scholar 

  27. Ravussin E, Bogardus C . Relationship of genetics, age, and physical fitness to daily energy expenditure and fuel utilization Am J Clin Nutr 1989 49: 968–975.

    Article  CAS  Google Scholar 

  28. Garby L, Lammert O . An explanation for the non-linearity of the relation between energy expenditure and fat-free mass Eur J Clin Nutr 1992 46: 235–236.

    CAS  PubMed  Google Scholar 

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Acknowledgements

The authors thank Sensor Medics for its technical assistance, Ms Annarita Caldara for her collaboration in collecting data and Ms Rosanna Scala for her help in preparing the manuscript.

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Authors and Affiliations

  1. Department of Food Science, Human Nutrition and Dietetics, Federico II University, via Università 100, Portici (Napoli), Italy

    L Scalfi & F Contaldo

  2. Department of Clinical and Experimental Medicine, Clinical Nutrition, Federico II University, via Pansini 5, Napoli, 80131, Italy

    M Marra, E De Filippo, G Caso & F Pasanisi

Authors
  1. L Scalfi
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  2. M Marra
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  3. E De Filippo
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  4. G Caso
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  5. F Pasanisi
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  6. F Contaldo
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Correspondence to L Scalfi.

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Scalfi, L., Marra, M., De Filippo, E. et al. The prediction of basal metabolic rate in female patients with anorexia nervosa. Int J Obes 25, 359–364 (2001). https://doi.org/10.1038/sj.ijo.0801547

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  • DOI: https://doi.org/10.1038/sj.ijo.0801547

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