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Abdominal diameters as indicators of visceral fat: comparison between magnetic resonance imaging and anthropometry

Published online by Cambridge University Press:  09 March 2007

Karin Van Der Kooy ,
Rianne Leenen ,
Jaap C. Seidell ,
Paul Deurenberg  and
Marjolein Visser
Karin Van Der Kooy
Affiliation:
Wageningen Agricultural University, Department of Human Nutrition, P.O. Box 8129, 6700 EV Wageningen, The Netherlands
Rianne Leenen
Affiliation:
Wageningen Agricultural University, Department of Human Nutrition, P.O. Box 8129, 6700 EV Wageningen, The Netherlands
Jaap C. Seidell
Affiliation:
Wageningen Agricultural University, Department of Human Nutrition, P.O. Box 8129, 6700 EV Wageningen, The Netherlands
Paul Deurenberg
Affiliation:
Wageningen Agricultural University, Department of Human Nutrition, P.O. Box 8129, 6700 EV Wageningen, The Netherlands
Marjolein Visser
Affiliation:
Wageningen Agricultural University, Department of Human Nutrition, P.O. Box 8129, 6700 EV Wageningen, The Netherlands
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Abstract

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The aim of the present study was to investigate the usefulness of abdominal diameters to indicate visceral fat, their relationship with serum lipids and their capability of detecting changes in visceral fat. Before and after weight loss, visceral and subcutaneous fat, and the sagittal and transverse diameters were assessed by magnetic resonance imaging (MRI) in forty-seven obese men and forty-seven premenopausal obese women with an initial body mass index of 31·0 (SD 2·4) kg/m2. In a subsample (n 21), diameters, were also measured by anthropometry in the standing and supine positions. They were strongly correlated with the diameters derived from the MRI scans. Serum levels of total and HDL-cholesterol and triacylglycerol were measured before weight loss. In women the sagittal diameter correlated less strongly with visceral fat than anthropometrically-assessed waist circumference and waist:hip ratio (WHR). In men these associations were comparable. Changes in visceral fat with weight loss were more strongly correlated with changes in the sagittal diameter and sagittal:transverse diameter ratio (STR) than with changes in waist circumference or WHR in men. In women, changes in the anthropometric variables and the separate diameters (except STR) were not associated with visceral fat loss. In men, but not in women, both the sagittal diameter and the visceral fat area were related to serum lipids. It is concluded that the sagittal diameter and STR may have advantages over waist circumference and WHR in men, particularly in assessing changes in visceral fat, but this could not be demonstrated in women. The ability to predict visceral fat from circumferences and diameters or their ratios is, however, limited in obese men and women.

Keywords

Magnetic resonance imagingAnthropometryVisceral fatObesityWeight loss
Type
Measurement of Body Composition
Information
British Journal of Nutrition , Volume 70 , Issue 1 , July 1993 , pp. 47 - 58
Copyright
Copyright © The Nutrition Society 1993

References

REFERENCES

Ashwell, M., Cole, T. J. & Dixon, A. K. (1985). Obesity: new insight into the anthropometric classification of fat distribution shown by computed tomography. British Medical Journal 290, 1692–1694.CrossRefGoogle ScholarPubMed
Baumgartner, R. N., Heymsfield, S. B., Roche, A. F. & Bernardino, M. (1988). Abdominal composition quantified by computed tomography. American Journal of Clinical Nutrition 48, 936–945.CrossRefGoogle ScholarPubMed
Björntorp, P. (1990). [Portal’ adipose tissue as a generator of risk factors for cardiovascular disease and diabetes. Arteriosclerosis 10, 493–496.CrossRefGoogle Scholar
Björntorp, P. (1991). Metabolic implications of body Fat distribution. Diabetes Care 14, 1132–1143.Google Scholar
Bland, J. M. & Altman, D. G. (1986). Statistical methods for assessing agreement between two methods ofclinical measurement. Lancet i, 307–310.CrossRefGoogle Scholar
Borkan, G. A., Gerzof, S. G., Robbins, A. H., Hults, D. E., Silbert, C. K. & Silbert, J. E. (1982). Assessment of abdominal fat content by computed tomography. American Journal of Clinical Nutrition 36, 172 177.CrossRefGoogle ScholarPubMed
Comroe, J. H., Forster, R. E., Dubois, A. B., Briscoe, W. A. & Carlsen, E. (1977). In The Lung- Clinical Physiology and Pulmonary Function Tests, pp. 13–23. Chicago-London: Year Book Medical Publishers.Google Scholar
Després, J. P. (1991). Obesity and lipid metabolism: relevance of body fat distribution. Current opinion in Lipidology 2, 5 15.CrossRefGoogle Scholar
Després, J. P., Prud'homme, D., Pouliot, M. C., Tremblay, A. & Bouchard, C. (1991). Estimation of deep abdominal adipose-tissue accumulation from simple anthropometric measurements in men. American Journal of Clinical Nutrition 54, 471–477.Google Scholar
Durnin, J. V. G. A. & Womersley, J. (1974). Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 years. British Journal of Nutrition 32, 77–97.CrossRefGoogle ScholarPubMed
Ferland, M., Després, J. P., Trembhy, A., Pinault, S., Nadeau, A., Moorjani, S., Lupien, P. J., Thériault, G. & Bouchard, C. (1989). Assessment of adipose tissue distribution by computed axial tomography in obese women: association with body density and anthropometric measurements. British Journal of Nutrition 61, 139–148.CrossRefGoogle ScholarPubMed
Friedewald, W. T., Levy, R. L. & Fredrickson, D. S. (1972). Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clinical Chemistry 18, 499–502.Google Scholar
Fujioka, S., Matsuzawa, Y., Tokunaga, K. & Tarui, S. (1987). Contribution of intra-abdominal fat accumulation to the impairment of glucose and lipid metabolism in human obesity. Metabolism 36, 54–59.CrossRefGoogle Scholar
Hayes, P. A., Sowood, P. J., Belyavin, A., Cohen, J. B. & Smith, F. W. (1988). Subcutaneous fat thickness measured by magnetic resonance imaging, ultrasound, and calipers. Medicine and Science in Sports and Exercise 20, 303–309.CrossRefGoogle ScholarPubMed
Kvist, H., Chowdhury, B., Grangärd, U., Tylen, U. & Sjöström, L. (1988). Total and visceral adipose-tissue volumes derived from measurements with computed tomography in adult men and women: predictive equations. American Journal of Clinical Nutrition 48, 1351 1361CrossRefGoogle ScholarPubMed
Leenen, R., van der Kooy, K., Seidell, J. C. & Deurenberg, P. (1992). Visceral fat accumulation measured by magnetic resonance imaging in relation to serum lipids in obese men and women. Atherosclerosis 94, 171 181.Google Scholar
NEVO Foundation (1985). Dutch computerized food composition table. Den Haag; The Netherlands Bureau for Food and Nutrition Education.Google Scholar
Pace, N. & Rathbun, E. N. (1945). Studies on body composition. III. The body water and chemically combined nitrogen content in relation to fat content. Journal of Biological Chemistry 158, 685–691.Google Scholar
Ross, R., Léger, L., Marliss, E. B., Morris, D. V. & Gougeon, R. (1991). Adipose tissue distribution changes during rapid weight loss in obese adults. International Journal of Obesity 15, 733–739.Google ScholarPubMed
Ross, R., Léger, L., Morris, D., De Guise, J. & Guardo, R. (1992). Quantification of adipose tissue by MRI: relationship with anthropometric variables. Journal of Applied Physiology 72, 787–795.Google Scholar
Seidell, J. C., Bakker, C. J. G. & van der Kooy, K. (1990). Imaging techniques for measuring adipose-tissue distribution - a comparison between computed tomography and 1.5-T magnetic resonance. American Journal of Clinical Nutrition 51, 953–957.CrossRefGoogle Scholar
Seidell, J. C., Björntorp, P., Sjöström, L., Sannerstedt, R., Krotkiewski, M. & Kvist, H. (1989). Regionaldistribution of muscle and fat mass in men new insight into the risk of abdominal obesity using computed tomography. International Journal of Obesity 13, 289 303.Google Scholar
Seidell, J. C., Oosterlee, A., Thijssen, M. A. O., Burema, J., Deurenberg, P., Hautvast, J. G. A. J. & Ruijs, J. H. J. (1987). Assessment of intra-abdominal and subcutaneous abdominal fat: relation between anthropometry and computed tomography. American Journal of Clinical Nutrition 45, 7–13.CrossRefGoogle ScholarPubMed
Siedel, J., Hägele, E. O., Ziegenhorn, J. & Wahlefeld, A. W. (1983). Reagent for the enzymatic determination of serum total cholesterol with improved lipolytic efficiency. Clinical Chemistry 29, 1075–1080.CrossRefGoogle ScholarPubMed
Siri, W. E. (1961). Body composition from fluid spaces and density: analysis of methods. In Techniques for Measuring Body Composition, pp. 223–244 [Brozek, J. and Henschel, A., editors]. Washington, DC: National Academy of Sciences.Google Scholar
Sjöström, L. (1991). A computer-tomography based multicompartment body composition technique and anthropometric predictions of lean body mass, total and subcutaneous adipose tissue. International Journal of Obesity 15, 19–30.Google Scholar
Stallone, D. D., Stunkard, A. J., Wadden, T. A., Foster, G. D., Boorstein, J. & Arger, P. (1991). Weight loss and body fat distribution: a feasibility study using computed tomography. International Journal of Obesity 15, 775–780.Google ScholarPubMed
Staten, M. A., Totty, W. G. & Kohrt, W. M. (1989). Measurement of fat distribution by magnetic resonance imaging. Investigative Radiologji 24, 345 349.CrossRefGoogle ScholarPubMed
Sullivan, D. R., Kruijswijk, Z., West, C. E., Kohlmeier, M. & Katan, M. B. (1985). Determination of serum trigylcerides by an accurate enzymatic method not affected by free glycerol. Clinical Chemistry 31, 1227–1228.CrossRefGoogle Scholar
Van der Kooy, K., Leenen, R., Deurenberg, P., Seidell, J. C., Westerterp, K. & Hautvast, J. G. A. J. (1993). Changes in fat-free mass in obese subjects after weight loss: a comparison of body composition measures. International Journal of Obesity 16, 675–683.Google Scholar
Warnick, G. R., Benderson, J. & Albers, J. J. (1982). Dextran sulfate-Mg2+ precipitation procedure for quantification of high-density-lipoprotein cholesterol. Clinical Chemistry 28, 1379–1 388.CrossRefGoogle Scholar
Weststrate, J. A. & Hautvast, J. G. A. J. (1990). The effects of short-term carbohydrate overfeeding and prior exercise on resting metabolic rate and diet-induced thermogenesis. Metabolism 39, 1232–1239.Google Scholar