Introduction. Traditionally, the body mass index (BMI) is used to describe anthropometric measurements and to assess weight-related health risks. However, the abdominal circumference (AC) might also be a valuable parameter to estimate this risk. This study aims to describe an association between the BMI and the AC.
Material and Methods. Participants were recruited during the Brussels Food Fair in 2014. They completed a questionnaire with their medical history, and health related parameters such as blood pressure, weight, height and AC were measured.
Results. In total, 705 participants were analyzed. Men had a mean BMI of 27.3 kg/m2 and a mean AC of 98.7 cm. Women had a mean BMI of 26.0 kg/m2 and a mean AC of 88.2 cm. The Pearson’s correlation coefficient between the BMI and the AC was 0.91 for men and 0.88 for women. There was a strong positive correlation between the BMI and the AC. In the identification of patients at high risk for weight-related diseases, the use of the AC identified more patients than the BMI. Especially more women were ranking in a higher risk class with the AC than with the BMI classification. Both the BMI as well as the AC identified most diseases with an increased relative risk.
Conclusion. There is a strong correlation between the BMI and the AC. There are too few arguments to prefer the use of AC above the BMI to detect people at high risk for weight-related diseases.
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1. World Health Organization. Obesity: preventing and managing the global epidemic-report of a WHO Consultation on obesity. 2000 Geneva: WHO. Available at http://www.who.int/nutrition/publications/obesity/WHO_TRS_894/en/ (date of accession: 16 July 2016).
2. DRIESKENS S. Voedingsstatus. In: Gezondheidsenquête 2013. Rapport 2: Gezondheidsgedrag en leefstijl. WIV-ISP Brussel 2014 Available at https://his.wiv-isp.be/nl/Gedeelde%20%20documenten/summ_LS_NL_2013.pdf (date of accession: 16 July 2016).
3. SIMMONDS M. BURCH J. LLEWELLYN A. GRIFFITHS C. YANG H. OWEN C. et al. The use of measures of obesity in childhood for predicting obesity and the development of obesity-related diseases in adulthood: a systematic review and meta-analysis. Health Technol Assess. 2015; 19(43):1-336.
4. OLIVEROS E. SOMERSVK. SOCHOR O. GOEL K. LOPEZ-JIMINEZ F. The concept of normal weight obesity. Prog Cardiovasc Dis. 2014; 56(4):426-33.
5. LEAN ME. HANTS. MORRISON CE. Waist circumference as a measure for indicating need for weight management. BMJ. 1995; 311(6998):158-61.
6. World Health Organization. Waist Circumference and Waist–Hip Ratio: Report of a WHO Expert Consultation. 2008 Geneva: WHO. Available at http://apps.who.int/iris/bitstream/10665/44583/1/9789241501491_eng.pdf (date of accession: 16 July 2016).
7. STEVENS J. KATZ EG. HUXLEY RR. Associations between gender age and waist circumference. Eur J ClinNutr. 2010; 64(1):6-15.
8. LEAR SA. JAMES PT. KO GT. KUMANYIKA S. Appropriateness of waist circumference and waist-to-hip ratio cutoffs for different ethnic groups. Eur J ClinNutr. 2010; 64(1):42-61.
9. LASSEK WD. GAULIN SJ. Changes in body fat distribution in relation to parity in American women: a covert form of maternal depletion. Am J Phys Anthropol. 2006; 131(2):295-302.
10. HUXLEY R. JAMESWP. BARZI F PATEL JV. LEAR SA SURIYAWONGPAISAL P. et al. Obesity in Asia Collaboration. Ethnic comparisons of the cross-sectional relationships between measures of body size with diabetes and hypertension. Obes Rev. 2008; 9(S1):53-61.
11. LEE CM. HUXLEY RR. WILDMAN RP. WOODWARD M. Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis. J Clin Epidemiol. 2008; 61(7):646-53.
12. HUXLEY R. MENDIS S. ZHELEZNYAKOV E. REDDY S. CHAN J. Body mass index waist circumference and waist-hip ratio as predictors of cardiovascular risk: a review of the literature. Eur J Clin Nutr. 2010; 64(1):16-22.
13. VAZQUEZ G. DUVAL S. JACOBS DR Jr. SILVENTOINEN K. Comparison of body mass index waist circumference and waist/hip ratio in predicting incident diabetes: a meta-analysis. Epidemiol Rev. 2007; 29:115-28.
14. QIAO Q. NYAMDORJ R. The optimal cutoff values and their performance of waist circumference and waist-to-hip ratio for diagnosing type II diabetes. Eur J Clin Nutr. 2010; 64(1):23-9.
15. SEIDELL JC. Waist circumference and waist/hip ratio in relation to all-cause mortality cancer and sleep apnea. Eur J Clin Nutr. 2010; 64(1):35-41.
16. CERHAN JR. MOORE SC. JACOBS EJ. KITAHARACM. ROSENBERG PS. ADAMI HO. et al. A pooled analysis of waist circumference and mortality in 650000 adults. Mayo Clin Proc. 2014; 89(3):335-45.
17. FLEGAL KM. GRAUBARD BI. Estimates of excess deaths associated with body mass index and other anthropometric variables. Am J Clin Nutr. 2009; 89(4):1213-9.