© 1990 Oxford University Press
research-article |
Fat Distribution in European Women: A Comparison of Anthropometric Measurements in Relation to Cardiovascular Risk Factors
*Department of Human Nutrition, Wageningen University PO Box 8129, 6700 EV Wageningen, The Netherlands.
**Institute of Clinical Medicine, University of Verona Italy
National Institute of Food and Nutrition Warsaw, Poland.
Department of Medicine I, University of Göteborg Sweden.
§Department of Internal Medicine and Metabolic Diseases, University of Naples Italy.
Seidell J C (Department of Human Nutrition, Wageningen University, PO Box 8129, 6700 EV Wageningen, The Netherlands), Cigolini M, Charzewska J, Ellsinger B M and Di Biase G. Fat distribution in European women: A comparison of anthropometric measurements in relation to cardiovascular risk factors. International Journal of Epidemiology 1990, 19: 303–308.
In this study in 437 women born in 1948 selected from five European towns we show that several anthropometric measurements are consistently and significantly associated with a metabolic risk profile in premenopausal women of 38 years of age. Among the circumferences, breast and waist circumference were, after adjustment for body mass index positively correlated with diastolic blood pressure, serum total cholesterol, HDL-cholesterol (negative associations), serum triglycerides, and serum insulin. The optimal level for measuring waist circumference was determined as being midway between the lower rib margin and the superior anterior iliac crest. Circumference ratios generally did show less consistent and similar or lower correlations with diastolic blood pressure, serum cholesterol and serum insulin. Waist/thigh circumference ratio showed the strongest partial associations with HDL-cholesterol and serum triglycerides among all anthropometric variables studied. The authors conclude that, independently of the degree of fatness, indicators of truncal fat distribution (in the region of the breast as well as the abdomen) are related to an unfavourable risk profile in European Premenopausal women. The study gives a rationale for selecting the most informative anthropometric measurements to be added to height and weight in epidemiological studies.
Revised 1 December 1989
CiteULike 
Connotea 
Del.icio.us What's this?
This article has been cited by other articles:
|
|
 |
|
  D. Carroll, A. C. Phillips, and G. Der Body Mass Index, Abdominal Adiposity, Obesity, and Cardiovascular Reactions to Psychological Stress in a Large Community Sample Psychosom Med, July 1, 2008; 70(6): 653 - 660. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 B.M. Brooks, R. Rajeshwari, T. A. Nicklas, S.-J. Yang, and G. S. Berenson Association of Calcium Intake, Dairy Product Consumption with Overweight Status in Young Adults (1995-1996): The Bogalusa Heart Study J. Am. Coll. Nutr., December 1, 2006; 25(6): 523 - 532. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 R. P Wildman, D. Gu, K. Reynolds, X. Duan, X. Wu, and J. He Are waist circumference and body mass index independently associated with cardiovascular disease risk in Chinese adults? Am. J. Clinical Nutrition, December 1, 2005; 82(6): 1195 - 1202. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
D. S Freedman, M. K Serdula, S. R Srinivasan, and G. S Berenson Relation of circumferences and skinfold thicknesses to lipid and insulin concentrations in children and adolescents: the Bogalusa Heart Study Am. J. Clinical Nutrition, February 1, 1999; 69(2): 308 - 317. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 P. T. Williams High-Density Lipoprotein Cholesterol and Other Risk Factors for Coronary Heart Disease in Female Runners N. Engl. J. Med., May 16, 1996; 334(20): 1298 - 1304. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 M. A. Denke, C. T. Sempos, and S. M. Grundy Excess Body Weight: An Under-recognized Contributor to Dyslipidemia in White American Women Arch Intern Med, February 28, 1994; 154(4): 401 - 410. [Abstract] [PDF]
|
|