Hostname: page-component-77c89778f8-7drxs Total loading time: 0 Render date: 2024-07-17T07:13:21.679Z Has data issue: false hasContentIssue false
  • English
  • Français

Intra-individual variation in RMR in older people

Published online by Cambridge University Press:  09 March 2007

Megan R. D. Gibbons ,
C. Jeya K. Henry ,
Stanley J. Ulijaszek  and
Helen J. Lightowler
Megan R. D. Gibbons
Affiliation:
Nutrition and Food Science Group, School of Biological and Molecular Sciences, Oxford Brookes University, Gipsy Lane Campus, Headington, Oxford OX3 0BP, UK
C. Jeya K. Henry*
Affiliation:
Nutrition and Food Science Group, School of Biological and Molecular Sciences, Oxford Brookes University, Gipsy Lane Campus, Headington, Oxford OX3 0BP, UK
Stanley J. Ulijaszek
Affiliation:
Institute of Social and Cultural Anthropology, University of Oxford, 51 Banbury Road, Oxford OX2 6PF, UK
Helen J. Lightowler
Affiliation:
Nutrition and Food Science Group, School of Biological and Molecular Sciences, Oxford Brookes University, Gipsy Lane Campus, Headington, Oxford OX3 0BP, UK
*
*Corresponding author: Professor C. Jeya K. Henry, fax +44 1865 483242, email jhenry@brookes.ac.uk
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

In the factorial estimation of total energy expenditure it is assumed that the intra-individual variation in RMR is small. Little is known about the intra-individual variation in RMR in older subjects. The present study investigated the intra-individual variation in RMR in older people. Measurements of RMR were made in twenty-seven older subjects, mean age 71·6 (sd 6·1) years, on two separate occasions (T1 and T2) and on a third occasion (T3) in nineteen of the subjects. Measurements of height and weight were taken in all subjects. RMR measurements were made in the laboratory using a Deltatrac™ (ventilated-hood indirect calorimeter; Datex, Helsinki, Finland). All subjects had fasted overnight for 12h and refrained from strenuous exercise before measurements. The intra-individual CV in RMR (kJ/d) after T1 and T2 was 2·5% in women and 3·6% in men and was 2·6% in women and 3·4% in men after all three sets of measurements. Although mean RMR did not vary across T1, T2 and T3, there was significant ‘crossing tracks’ across the three measurement occasions in some individuals, reflecting a high degree of within-subject variability. The methods used had a significant measurement error associated with them (high R value; significant F ratio in three-way ANOVA). In conclusion, the results from the present study indicate that intra-individual variation in RMR was low in older people. The intra-individual variation in the elderly is similar to that seen in younger age groups.

Keywords

Older peopleResting metabolic rateDeltatrac™Reproducibility
Type
Research Article
Information
British Journal of Nutrition , Volume 91 , Issue 3 , March 2004 , pp. 485 - 489
Copyright
Copyright © The Nutrition Society 2004

References

Arciero, PJ, Goran, I & Poehlman, ET (1993) Resting metabolic rate is lower in women than men. J Appl Physiol 75, 2514–2520.CrossRefGoogle Scholar
Buchholz, AC, Rafii, M & Pencharz, PB (2001) Is resting metabolic rate different between men and women?. Br J Nutr 86, 641–646.CrossRefGoogle ScholarPubMed
Curtis, V, Henry, CJK, Birch, E & Ghusain-Choueiri, A (1996) Intraindividual variation in the basal metabolic rate of women: effect on the menstrual cycle. Am J Hum Biol 8, 631–639.3.0.CO;2-Y>CrossRefGoogle ScholarPubMed
Dalloso, HM & James, WPT (1984) The role of smoking in the regulation of energy balance. Int J Obes 8, 365–375.Google Scholar
Elia, M, Ritz, P & Stubbs, RJ (2000) Total energy expenditure in the elderly. Eur J Clin Nutr 54, S92–S103.CrossRefGoogle ScholarPubMed
Finch, S, Doyle, W, Lowe, C, Bates, C, Prentice, A, Smith, G & Clarke, P (1998) National Diet and Nutrition Survey: People Aged 65 Years and Over – vol. 1. London: The Stationery Office.Google Scholar
Food and Agriculture Organization/World Health Organization/United Nations University (1985) Energy and Protein Requirements. Technical Report Series no. 724. Geneva: WHO.Google Scholar
Goran, MI & Poehlman, ET (1992) Total energy expenditure and energy requirements in healthy elderly persons. Metabolism 41, 744–753.CrossRefGoogle ScholarPubMed
Henry, CJK (2000) Mechanisms of changes of basal metabolism during ageing. Eur J Clin Nutr 54, S77–S91.CrossRefGoogle ScholarPubMed
Henry, CJK, Hayter, J & Rees, DG (1989) The constancy of basal metabolic rate in free-living male subjects. Eur J Clin Nutr 43, 727–731.Google ScholarPubMed
Henry, CJK, Lightowler, HJ & Marchini, J (2003) Intra-individual variation in resting metabolic rate during the menstrual cycle. Br J Nutr 89, 811–817.CrossRefGoogle ScholarPubMed
Henry, CJK & Rees, DG (1991) New predictive equations for the estimation of basal metabolic rate in tropical peoples. Eur J Clin Nutr 45, 177–185.Google ScholarPubMed
Lohman, TG, Roche, AF & Martorell, R (1991) Anthropometric Standardization Reference Manual. Champaign, IL: Human Kinetics.Google Scholar
Office for National Statistics (2002) Health Statistics Quarterly, No. 16. London: The Stationery Office.Google Scholar
Piers, LS, Soares, MJ, McCormack, LM & O'Dea, K (1998) Is there evidence for an age-related reduction in metabolic rate?. J Appl Physiol 85, 2196–2204.CrossRefGoogle ScholarPubMed
Reilly, JJ, Lord, A, Bunker, VW, Prentice, AM, Coward, WA, Thomas, AJ & Briggs, RS (1993) Energy balance in healthy elderly women. Br J Nutr 69, 21–27.CrossRefGoogle ScholarPubMed
Shetty, PS, Henry, CJK, Black, AE & Prentice, AM (1996) Energy requirements of adults: an update on basal metabolic rates (BMRs) and physical activity levels (PALs). Eur J Clin Nutr 50, S11–S23.Google ScholarPubMed
Soares, MJ, Piers, LS, Kraai, L & Shetty, PS (1989) Day-to-day variations in basal metabolic rates and energy intakes of human subjects. Eur J Clin Nutr 43, 465–472.Google ScholarPubMed
Soares, MJ, Sheela, ML, Kurpad, AV & Kulkarni, RN (1989) The influence of different methods on basal metabolic rate measurements in human subjects. Am J Clin Nutr 50, 731–736.CrossRefGoogle ScholarPubMed
Sokal, RR & Rohlf, FJ (1969) Biometry: Principles and Practice of Statistics in Biological Research. New York: WH Freeman.Google Scholar
Tzankoff, SP & Norris, AH (1978) Longitudinal changes in basal metabolism in man. J Appl Physiol 45, 536–539.CrossRefGoogle ScholarPubMed
Ulijaszek, SJ & Kerr, DA (1999) Anthropometric measurement error and the assessment of nutritional status. Am J Clin Nutr 82, 165–177.Google ScholarPubMed
Ulijaszek, SJ & Lourie, JA (1994) Intra- and inter-observer error in anthropometric measurement. In Anthropometry: The Individual and the Population, pp. 30–55[Ulijaszek, SJ and Mascie-Taylor, CGN, editors]. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Visser, M, Deurenberg, P, Vanstaveren, WA & Hautvast, J (1995) Resting metabolic rate and diet-induced thermogenesis in young and elderly subjects – relationship with body-composition, fat distribution, and physical-activity level. Am J Clin Nutr 61, 772–778.CrossRefGoogle Scholar
Wells, JCK & Fuller, NJ (1998) Precision and accuracy in a metabolic monitor for indirect calorimetry. Eur J Clin Nutr 52, 536–540.CrossRefGoogle Scholar