Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Original Communication
  • Published:

Calculating energy requirements for men with HIV/AIDS in the era of highly active antiretroviral therapy

Abstract

Objective: 1. To determine if resting energy expenditure (REE) adjusted for body composition is elevated in HIV-positive males when compared with healthy controls in the era of highly active antiretroviral therapy. 2. To examine the accuracy of prediction equations for estimating REE in people with HIV. 3. To determine if REE adjusting for body composition is significantly different between those HIV-positive subjects reporting lipodystrophy (LD) or weight loss (≥5%) and those who are weight stable when compared to controls.

Design: Cross-sectional study.

Setting: Tertiary referral hospital HIV unit and an outpatient clinic specializing in HIV care.

Subjects: HIV-positive males (n=70) and healthy male controls (n=16).

Methods: REE was measured using indirect calorimetry. Body composition was assessed using bioelectrical impedance analysis.

Results: 1. REE when adjusted for fat-free mass and fat mass using the general linear model (analysis of covariance) was greater in HIV-positive subjects than controls (7258±810 kJ, n=70 vs 6615±695 kJ, n=16, P<0.05). 2. The Harris and Benedict, Schofield, Cunningham and the two equations previously published by Melchior and colleagues in HIV-positive subjects all gave an estimate of REE significantly different from the measured REE in the HIV-positive subjects, therefore a new prediction equation was developed. The inability of the published equations to predict REE in the different HIV-positive subgroups reflected the heterogeneity in body composition. 3. REE adjusted for fat-free and fat mass was significantly greater in the both the HIV patients who were weight stable and those with lipodystrophy compared with the healthy controls.

Conclusion: REE is significantly higher in HIV-positive males when compared with healthy controls. Body composition abnormalities common in HIV render the use of standard prediction equations for estimating REE invalid. When measuring REE in HIV-positive males adjustment steps should include fat-free and fat mass.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Similar content being viewed by others

References

  • Bernstein, RS, Thornton, JC & Yang, MU (1983). Prediction of the resting metabolic rate in obese patients. Am. J. Clin. Nutr., 37, 595–602.

    Article  CAS  Google Scholar 

  • Bland, JM & Altman, DG (1986). Statistical methods for assessing agreement between two methods of clinical measurement. Lancet, 1, 307–310.

    Article  CAS  Google Scholar 

  • Bursztein, S, Saphar, P, Singer, P & Elwyn, DH (1989). A mathematical analysis of indirect calorimetry measurements in acutely ill patients. Am. J. Clin. Nutr., 50, 227–230.

    Article  CAS  Google Scholar 

  • Carbonnel, F, Maslo, C, Beaugerie, L, Carrat, F, Wirbel, E, Aussel, C, Gobert, JG, Girard, PM, Gendre, JP, Cosnes, J & Rozenbaum, W (1998). Effect of indinavir on HIV-related wasting. AIDS, 12, 1777–1784.

    Article  CAS  Google Scholar 

  • Carr, A, Samaras, K, Burton, S, Law, M, Freund, J, Chisholm, DJ & Cooper, DA (1998). A syndrome of peripheral lipodystrophy, hyperlipidaemia and insulin resistance in patients receiving HIV protease inhibitors. AIDS, 12, F51–F58.

    Article  CAS  Google Scholar 

  • Corcoran, C, Anderson, EJ, Burrows, B, Stanley, T, Walsh, M, Poulos, AM & Grinspoon, S (2000). Comparison of total body potassium with other techniques for measuring lean body mass in men and women with AIDS wasting. Am. J. Clin. Nutr., 72, 1053–1058.

    CAS  PubMed  Google Scholar 

  • Cunningham, JJ (1980). A reanalysis of the factors influencing basal metabolic rate in normal adults. Am. J. Clin. Nutr., 33, 2372–2374.

    Article  CAS  Google Scholar 

  • Cunningham, JJ (1991). Body composition as a determinant of energy expenditure: a synthetic review and a proposed general prediction equation. Am. J. Clin. Nutr., 54, 963–969.

    Article  CAS  Google Scholar 

  • Dallosso, HM & James, WP (1984). The role of smoking in the regulation of energy balance. Int. J. Obes., 8, 368–375.

    Google Scholar 

  • Das, SK, Moriguti, JC, McCrory, MA, Saltzman, E, Mosunic, C, Greenberg, AS & Roberts, SB (2001). An underfeeding study in healthy men and women provides further evidence of impaired regulation of energy expenditure in old age. J. Nutr., 131, 1833–1838.

    Article  CAS  Google Scholar 

  • Datex Corporation (1995). Deltatrac TM II MBM-200 Metabolic Monitor, Operators Manual, (publication no. 882123-2) Helsinki: Datex Division, Instrumentarium Corp.

  • Department of Nutrition, Dietetics and Food Sciences (1996). Nutritional assessment. In:Dietitian's Pocket Book, pp36–47, Perth: School of Public Health, Curtin University of Technology

  • Deurenberg, P (1996). Limitation of the bioelectrical impedance method for the assessment of body fat in severe obesity. Am. J. Clin. Nutr., 64, (Suppl) 449S–452S.

    Article  CAS  Google Scholar 

  • Dionne, I, Despres, JP, Bouchard, C & Tremblay, A (1999). Gender differences in the effect of body composition on energy metabolism. Int. J. Obes. Relat. Metab. Disord., 23, 312–319.

    Article  CAS  Google Scholar 

  • Efron, B & Tibshirani, RJ (1993). An Introduction to the Bootstrap. Mongraphs on Statistics and Applied Probability, ed. DR Cox, DV Hinkley, N Reid, DB Rubin & BW Silverman, pp247–252, New York: Chapman & Hall

    Book  Google Scholar 

  • Ferraro, R & Ravussin, E (1992). Fat mass in predicting resting metabolic rate. Am. J. Clin. Nutr., 56, 460–461.

    Article  CAS  Google Scholar 

  • Garrow, JS & Webster, J (1985). Are pre-obese people energy thrifty?. Lancet, 1, 670–671.

    Article  CAS  Google Scholar 

  • Green, SB, Salkind, NJ & Akey, TM (2000). Univariate and multivariate analysis-of-variance techniques. In:Using SPSS for Windows: Analyzing and Understanding Data, 2nd edn, ed. CJ Owen, pp157–232, Upper Saddle River NJ: Prentice-Hall

    Google Scholar 

  • Grunfeld, C, Pang, M, Shimizu, L, Shigenaga, JK, Jensen, P & Feingold, KR (1992). Resting energy expenditure, caloric intake, and short-term weight change in human immunodeficiency virus infection and the acquired immunodeficiency syndrome. Am. J. Clin. Nutr., 55, 455–460.

    Article  CAS  Google Scholar 

  • Harris, JA & Benedict, FG (1919). A Biometric Study of Basal Metabolism in Man, (publication no. 279), pp1–266, Washington, DC: Carnegie Institute of Washington

    Google Scholar 

  • Heijligenberg, R, Romijn, JA, Westerterp, KR, Jonkers, CF, Prins, JM & Sauerwein, HP (1997). Total energy expenditure in juman immunodeficiency virus-infected men and healthy controls. Metabolism, 46, 1324–1326.

    Article  CAS  Google Scholar 

  • Hommes, MJ, Romijn, JA, Godfried, MH, Schattenkerk, JK, Buurman, WA, Endert, E & Sauerwein, HP (1990). Increased resting energy expenditure in human immunodeficiency virus-infected men. Metabolism, 39, 1186–1190.

    Article  CAS  Google Scholar 

  • Hommes, MJ, Romijn, JA, Endert, E & Sauerwein, HP (1991). Resting energy expenditure and substrate oxidation in human immunodeficiency virus (HIV)-infected asymptomatic men: HIV affects host metabolism in the early asymptomatic stage. Am. J. Clin. Nutr., 54, 311–315.

    Article  CAS  Google Scholar 

  • Jimenez-Exposito, MJ, Garcia-Lorda, P, Alonso-Villaverde, C, de Virgala, CM, Sola, R, Masana, L, Arija, V, Izquierdo, V & Salas-Salvado, J (1998). Effect of malabsorption on nutritional status and resting energy expenditure in HIV-infected patients. AIDS, 12, 1965–1972.

    Article  CAS  Google Scholar 

  • Kleinbaum, DG, Kupper, LL & Muller, KE (1988). Chapter 12 Regression diagnostics. In:Applied Regression Analysis and Other Multivariable Methods, 2nd edn, pp181–227, Boston: PWS-KENT

    Google Scholar 

  • Kosmiski, LA, Kuritzkes, DR, Lichtenstein, KA, Glueck, DH, Gourley, PJ, Stamm, ER, Scherzinger, AL & Eckel, RH (2001). Fat distribution and metabolic changes are strongly correlated and energy expenditure is increased in the HIV lipodystrophy syndrome. AIDS, 15, 1993–2000.

    Article  CAS  Google Scholar 

  • Kotler, DP, Tierney, AR, Brenner, SK, Couture, S, Wang, J & Pierson-RN, J (1990). Preservation of short-term energy balance in clinically stable patients with AIDS. Am. J. Clin. Nutr., 51, 7–13.

    Article  CAS  Google Scholar 

  • Lukaski, HC & Bolonchuk, WW (1987). Theory and validation of the tetrapolar bioelectrical impedance method to assess human body composition. In:In Vivo Body Composition Studies, ed. KJ Ellis, S Yasamura & WD Morgan, pp410–414, London: Institute of Physical Medicine

    Google Scholar 

  • Macallan, DC, Noble, C, Baldwin, C, Jebb, SA, Prentice, AM, Coward, WA, Sawyer, MB, McManus, TJ & Griffin, GE (1995). Energy expenditure and wasting in human immunodeficiency virus infection. New Engl. J. Med., 333, 83–88.

    Article  CAS  Google Scholar 

  • Melchior, JC, Salmon, D, Rigaud, D, Leport, C, Bouvet, E, Detruchis, P, Vilde, JL, Vachon, F, Coulaud, JP & Apfelbaum, M (1991). Resting energy expenditure is increased in stable, malnourished HIV-infected patients. Am. J. Clin. Nutr., 53, 437–441.

    Article  CAS  Google Scholar 

  • Melchior, JC, Raguin, G, Boulier, A, Bouvet, E, Rigaud, D, Matheron, S, Casalino, E, Vilde, JL, Vachon, F & Coulaud, JP (1993). Resting energy expenditure in human immunodeficiency virus-infected patients: comparison between patients with and without secondary infections. Am. J. Clin. Nutr., 57, 614–619.

    Article  CAS  Google Scholar 

  • Miao, YM, Bjarnason, I, Crane, R, Hayes, P & Gazard, B Normalization of intestinal permeability following antiretroviral therapy in HIV+ patients with diarrhoea. Sixth annual meeting of the British HIV association (BHIVA), 24–26 March 2000. Royal College of Physicians, Edinburgh, UK HIV Med., 1, 166–188, (Abstract 013)

  • Mifflin, MD, St-Jeor, ST, Hill, LA, Scott, BJ, Daugherty, SA & Koh, YO (1990). A new predictive equation for resting energy expenditure in healthy individuals. Am. J. Clin. Nutr., 51, 241–247.

    Article  CAS  Google Scholar 

  • Mulligan, K, Tai, VW & Schambelan, M (1997). Energy expenditure in human immunodeficiency virus infection. New Engl. J Med., 336, 70–71.

    Article  CAS  Google Scholar 

  • Nelson, KM, Weinsier, RL, Long, CL & Schutz, Y (1992). Prediction of resting energy expenditure from fat-free mass and fat mass. Am. J. Clin. Nutr., 56, 848–856.

    Article  CAS  Google Scholar 

  • Newsholme, EA & Leech, AR (1988). The integration of metabolism during starvation, refeeding and injury. In:Biochemistry for the Medical Sciences, pp356–561, Chicester: John Wiley

    Google Scholar 

  • Nielsen, S, Hensrud, DD, Romanski, S, Levine, JA, Burguera, B & Jensen, MD (2000). Body composition and resting energy expenditure in humans: role of fat, fat-free mass and extracellular fluid. Int. J. Obes. Relat. Metab. Disord., 24, 1153–1157.

    Article  CAS  Google Scholar 

  • Poizot-Martin, I, Benourine, K, Philibert, P, Boulet, JM, Badetti, C, Tramier, M, Vollot, F, Dalmas, AM, Manelli, JC & Gastaut, JA (1994). Diet-induced thermogenesis in HIV infection. AIDS, 8, 501–504.

    Article  CAS  Google Scholar 

  • Ravussin, E & Bogardus, C (1989). Relationships of genetics, age, and physical fitness to daily energy expenditure and fuel utilization. Am. J. Clin. Nutr., 49, 968–975.

    Article  CAS  Google Scholar 

  • Ravussin, E, Lillioja, S, Anderson, TE, Christin, L & Bogardus, C (1986). Determinants of 24-hour energy expenditure in man. J. Clin. Invest., 78, 1568–1578.

    Article  CAS  Google Scholar 

  • Renard, E, Fabre, J, Paris, F, Reynes, J & Bringer, J (1999). A syndrome of body fat redistribution in HIV-1-infected patients: relationships to cortisol and catecholamines. Clin. Endocrinol. (Oxf.), 51, 223–230.

    Article  CAS  Google Scholar 

  • Schofield, WN (1985). Predicting basal metabolic rate, new standards and review of previous work. Hum. Nutr. Clin. Nutr., 39, (Suppl) S5–S41.

    Google Scholar 

  • Schwenk, A, Höffer-Belitz, E, Jung, B, Kremer, G, Burger, B, Salzberger, B, Diehl, V & Schrappe, M (1996). Resting energy expenditure, weight loss, and altered body composition in HIV infection. Nutrition, 12, 595–601.

    Article  CAS  Google Scholar 

  • Schwenk, A, Beisenherz, A, Kremer, G, Diehl, V, Salzberger, B & Fätkenheuer, G (1999). Bioelectrical impedance analysis in HIV-infected patients treated with triple antiretroviral treatment. Am. J. Clin. Nutr., 70, 867–873.

    Article  CAS  Google Scholar 

  • Sharpstone, DR, Murray, CP, Ross, HM, Hancock, MR, Phelan, MS, Crane, RC, Menzies, IS, Reaveley, DA, Lepri, AC, Nelson, MR & Gazzard, BG (1996a). Energy balance in asymptomatic HIV infection. AIDS, 10, 1377–1384.

    Article  CAS  Google Scholar 

  • Sharpstone, DR, Ross, HM & Gazzard, BG (1996b). The metabolic response to opportunistic infections in AIDS. AIDS, 10, 1529–1533.

    Article  CAS  Google Scholar 

  • Shevitz, AH, Knox, TA, Spiegelman, D, Roubenoff, R, Gorbach, SL & Skolnik, PR (1999). Elevated resting energy expenditure among HIV-seropositive persons receiving highly active antiretroviral therapy. AIDS, 13, 1351–1357.

    Article  CAS  Google Scholar 

  • Suttmann, U, Ockenga, J, Hoogestraat, L, Selberg, O, Schedel, I, Deicher, H & Muller, MJ (1993). Resting energy expenditure and weight loss in human immunodeficiency virus-infected patients. Metabolism, 42, 1173–1179.

    Article  CAS  Google Scholar 

  • Wadden, TA, Vogt, RA, Anderson, RE, Bartlett, SJ, Foster, GD, Kuehnel, RH, Wilk, J, Weinstock, R, Buckenmeyer, P, Berkowitz, RI & Steen, SN (1997). Exercise in the treatment of obesity: effects of four interventions on body composition, resting energy expenditure, appetite, and mood. J. Consult. Clin. Psychol., 65, 269–277.

    Article  CAS  Google Scholar 

  • Weir, JB (1949). New methods for calculating metabolic rate with special reference to protein metabolism. J. Physiol., 109, 1–9.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M J Batterham.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Batterham, M., Morgan-Jones, J., Greenop, P. et al. Calculating energy requirements for men with HIV/AIDS in the era of highly active antiretroviral therapy. Eur J Clin Nutr 57, 209–217 (2003). https://doi.org/10.1038/sj.ejcn.1601536

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/sj.ejcn.1601536

Keywords

This article is cited by

Search

Quick links