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Relationship between anthropometric indices of body fat distribution and basal energy metabolism in healthy Maltese women

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Abstract

A sample taken from a population (Maltese) with a high incidence of the metabolic complications of central obesity was studied to determine: (1) whether the standard Schofield equations adequately predict the basal metabolic rate (BMR) in this population: (2) whether the Maltese have a greater tendency for central obesity compared with other populations; (3) whether the distribution of body fat influences energy expenditure and fuel selection. Healthy women responding to a public advertisement were sampled randomly from the Maltese population. Correlation analysis and analysis of variance were used to study relationships between BMR and body composition. Anthropometric parameters (including body fat distribution indices, bioimpedance) and BMR were measured after an overnight fast. Six percent of the respondents were excluded because of recent illness, instability of diet or of body weight. Fifty subjects attended a clinic at the Medical School. The distribution of excess fat between central and peripheral areas in the Maltese population was similar to that reported for the British population. The Waisthip ratio (WHR) reflected neither basal heat production (BMR) nor the contribution of fat oxidation to BMR. The Schofield equations systematically underestimated BMR by 5.4%±0.86% (P<0.05). The study suggests a limitation in using the Schofield equations for predicting BMR in the female Maltese population studied. It also suggests that the fat distribution between central and peripheral areas in this population has no effect on BMR.

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References

  1. Bonithon-Knopp C, Raison J, Egloff H, Guy-Grand B, Durimetiere P, Skinfolds and body circumferences as measures of body fat patterning in a French female active population: relationship with the metabolic risk profile. J Clin Epidemiol 44: 475–482, 1991

    PubMed  Google Scholar 

  2. Seidell JC, Cigolini M, Desylpere JP, Charchewska J, Ellsinger AM, Cruz A, Indicators of fat distribution, serum lipids and blood pressure in European women born in 1948 — the European fat distribution study. Am J Clin Epidemiol 133: 257–265, 1991

    Google Scholar 

  3. Cacciattolo JM, Major findings from the 1984 Monica Baseline Survey: Contribution to the Malta Case Study for the International Conference on Nutrition in Malta. Department of Health, Malta, 1992

    Google Scholar 

  4. Ministry for Youth and the Arts, Participation in sports in Malta. Ministry for Youth and the Arts, Malta, 1992

    Google Scholar 

  5. Schranz AG, Abnormal glucose tolerance in the Maltese: a population-based longitudinal study of the national history of NIDDM and IGT in Malta. Diabetes Res 7: 7–16, 1989

    Google Scholar 

  6. Bellizzi M, Food and health in Malta: a situation analysis and proposals for action. Department of Health, Malta, 1992

    Google Scholar 

  7. Rebuffe-Scrive N, Enk L, Crons N, Lonnroth P et al, Fat cell metabolism in different regions in women. Effect of menstrual cycle, pregnancy and lactation. J Clin Invest 75: 1973–1976, 1985

    PubMed  Google Scholar 

  8. Bevilacqua S, Bonadonna R, Buzzigoli G et al, Acute elevation of free fatty acid levels leads to hepatic insulin resistance in obese patients. Metabolism 36: 502–506, 1987

    PubMed  Google Scholar 

  9. Randle PJ, Garland PB, Hales CN, Newsholme EA, The glucose-fatty acid cycle: its role in insulin sensitivity and the metabolic disturbaces of diabetes mellitus. Lancet 2: 185–189, 1963

    Google Scholar 

  10. Wolfe R, Klein S, Carraro F, Weber JM, The role of triglyceridefatty acid cycle in controlling metabolism in humans during and after exercise. Am J Physiol 285 (Endocrinol Metabolism 21): E382-E389, 1990

    Google Scholar 

  11. Schofield WN, Schofield C, James WPT, Basal metabolic rate — review and prediction. Hum Nutr Clin Nutr 39 [Suppl]: 1–96 1985

    Google Scholar 

  12. WHO, Measuring obesity: Classification and description of anthropometric data. Report on a WHO consultation on the epidemiology of obesity. WHO, Regional Office for Europe, pp 1–22, 1987

  13. Frisancho RA, Standards of weight and body composition by frame size and height for assessment of nutritional status of adults and elderly. Am J Clin Nutr 40: 808–819, 1984

    PubMed  Google Scholar 

  14. Ashwell M, Cole TJ, Dixon AK, Obesity: new insight into the anthropometric classification of fat distribution shown by computed tomography. Br Med J 290: 1692–1694, 1985

    Google Scholar 

  15. Durnin JVGA, Womersley J, Body fat assessed from total body density and its estimation from skinfold thickness:measurements on 481 men and women aged from 16–72 years. Br J Nutr 32: 77–91, 1974

    PubMed  Google Scholar 

  16. Pullicino E, Coward WA, Stubbs RJ, Elia M, Bedside and field methods for assessing body composition: comparison with the deuterium dilution technique. Eur J Clin Nutr 44: 753–762, 1990

    PubMed  Google Scholar 

  17. Siri WE, The gross composition of the body. Adv Bio Phys 4: 239–280, 1956

    Google Scholar 

  18. Valdez RA, Simple model-based index of abdominal adiposity. J Clin Epidemiol 44: 955–956, 1991

    PubMed  Google Scholar 

  19. Rudman D, Bleir J, Nutritional requirements. In: Petersdorf RG, Adams RD, Braunwald E, Isselbacher KJ, Martin JB, Wilson JD (eds) Harrison's principles of internal medicine. McGraw Hill, New York, pp 133–134

  20. Elia M, Livesey G, Energy expenditure and fuel selection in biological systems: the theory and practice of calculations based on calorimetrty and tracer methods. World Rev Nutr Dietetics 70: 68–131, 1992

    Google Scholar 

  21. Garrow JS, Webster J, Are pre-obese people energy thrifty? Lancet 1: 670–671, 1985

    PubMed  Google Scholar 

  22. White A, Nicolaas G, Foster K, Brown F, Carey S, Health survey for England. Office of Population Censuses and Surveys, pp 47–69, 1991

  23. Harris J, Benedict F, A biometric study of basal metabolism in man. (Publication 279) Washington, Carnegie Institute, 1919

    Google Scholar 

  24. Owen O, Kavle E, Polansky R et al, A reappraisal of caloric requirements in healthy women. Am J Clin Nutr 44: 1–19, 1986

    PubMed  Google Scholar 

  25. Heymsfield S, Head A, McManus A et al, Respiratory, cardiovascular and metabolic effects of enteral hyperalimentation: influence of formula dose and composition. Am J Clin Nutr 40: 116–130 1984

    PubMed  Google Scholar 

  26. Cunningham J, A reanalysis of the factors influencing metabolic in rate in normal adults. Am J Clin Nutr 33: 2372–2374, 1980

    PubMed  Google Scholar 

  27. Henry CJK, Piggott S, Emery B, Basal metabolic rate and diet induced thermogenesis in Asians living in Britain. Clin Nutr 41C: 397–402, 1987

    Google Scholar 

  28. Lawrence M, Thongaprasert K, Durnin JVGA, Between group differences in basal metabolic rate: an analysis of data collected in Scotland, the Gambia and Thailand. Eur J Clin Nutr 42: 877–891, 1988

    PubMed  Google Scholar 

  29. Westrate JA, Denner J, Stoel M, Beghejn LM, Deurenberg P, Hautvast JGAJ, Resting energy expenditure in men: impact of obesity and body fat distribution. Metabolism 39: 11–17, 1990

    PubMed  Google Scholar 

  30. Armellini F, Robbi R, Zamboni M, Tedesco T, Castelli S, Bosello O, Resting metabolic rate, body fat distribution and visceral fat in obese women. Am J Clin Nutr 56: 981–987, 1992

    PubMed  Google Scholar 

  31. Goldrich RB, McLoughlin GM, Lipolysis and lipogenesis from glucose in human fat cells of different sizes. J Clin Invest 49: 1213–1223, 1970

    PubMed  Google Scholar 

  32. Weits T, Beek AE der, Wedel M, Ter Haar Romeny BH, Computed tomography measurement of abdominal fat deposition in relation to anthropometry. Int J Obesity 12: 217–225, 1988

    Google Scholar 

  33. Mueller WH, Mulina RM, Relative reliability of circumferences and skinfolds as measures of body fat distribution. Am J Phys Anthropol 72: 437–439, 1987

    PubMed  Google Scholar 

  34. Mueller WH, Wear HL, Harris CL, Barton SA, Schull WJ, Body circumferences as alternatives to skinfold measurements of body fat distribution in Mexican-Americans. Int J Obesity 11: 309–318, 1987

    Google Scholar 

  35. Kvist H, Chowdhury B, Grangard U, Tylen M, Sjostrom L, Total and visceral adipose tissue volumes derived from measurements with computed tomography in adult men and women. Am J Clin Nutr 48: 1351–1361, 1988

    PubMed  Google Scholar 

  36. Seidell JC, Oosterlee A, Thijssen MAO, Burema J, Hautvast JGA, Ruijs JMJ, Abdominal fat depots measured with computed tomography: effects of degree of obesity, sex and age. Eur J Clin Nutr 42: 805–815, 1989

    Google Scholar 

  37. Schlostrom S, Lars-Olof W, Forsum E, Adipose tissue distribution as assessed by magnetic resonance imaging and total body fat by magnetic resonace imaging, underwater weighing, and body water dilution in healthy women. Am J Clin Nutr 58: 830–838, 1993

    PubMed  Google Scholar 

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Pullicino, E., Copperstone, C., Luzi, L. et al. Relationship between anthropometric indices of body fat distribution and basal energy metabolism in healthy Maltese women. Acta Diabetol 33, 198–204 (1996). https://doi.org/10.1007/BF02048543

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