Association of simple anthropometric measures of obesity with visceral fat and the metabolic syndrome in male Caucasian and Indo‐Asian subjects
Abstract
Aims The aims of this study were first, to investigate the relationship between simple anthropometric measures of obesity with visceral fat as assessed by a single slice magnetic resonance imaging (MRI)‐scan in patients attending a hospital clinic. Second, to determine which anthropometric measure best relates to the adverse metabolic profile of the metabolic syndrome. Methods Forty‐one male subjects [body mass index (BMI): 30.2 + 5.8 kg/m 2, age: 50.3 + 13.6 years] were studied by MRI‐scan to measure visceral fat at L4/L5 level and to investigate its relationship with simple anthropometric measures. Second, we studied 83 male subjects to determine which anthropometric measure best predicts the metabolic complications (using the ATPIII criteria) of obesity in the setting of a hospital clinic. Results Waist circumference was the best anthropometric measurement that correlated with MRI‐visceral fat mass assessed at L4/L5 in 41 subjects who had an MRI scan (P = 0.0001, r2 = 0.36, beta = 0.56) amongst variables which also included age, BMI, sagittal diameter, diabetes and ethnicity. Stepwise multiple regression analysis showed sagittal diameter (P = 0.001, r2 = 0.4, beta = 0.406), age (P = 0.003, beta = 0.271) and waist circumference (P = 0.012, beta = 0.297) were the best predictors of the adverse metabolic profile of the metabolic syndrome in all 83 male subjects amongst BMI, waist–hip ratio (WHR), ethnicity and diabetes‐related factors. Conclusions Waist circumference is a simple anthropometric parameter that best correlates with single slice MRI‐scan, but sagittal diameter (measured using abdominal calipers) better predicts the adverse metabolic profile of the metabolic syndrome. Although there is considerable variation in abdominal fat topography between ethnic groups, and also within populations, sagittal diameter assessment is a technique that is simple and best predicts the metabolic syndrome.
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Type 2 diabetes mellitus is strongly associated with obesity in most, but not all, ethnic groups, suggesting important ethnic differences in disease susceptibility.
“Type 2 diabetes mellitus (T2DM) is strongly associated with obesity in most, but not all, ethnic groups, suggesting important ethnic differences in disease susceptibility.”
From Increased prevalence of insulin resistance and nonalcoholic fatty liver disease in Asian-Indian men (2006) · cites this paper as [8]
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- Authors
- Valsamakis, G., Chetty, R., Anwar, A., Banerjee, A. K., Barnett, A., & Kumar, S.
- Affiliations
- Heartlands Hospital (GB)
- Walsall Manor Hospital (GB)
- Corresponding author
- Kumar, S.
- Venue
- Diabetic Medicine
- Publisher
- Wiley
- Published
- 2004-11-24
- Volume
- 21
- Issue
- 12
- Pages
- 1339-1345
- ISSN
- 0742-3071 (ISSN-L)
- 1464-5491
- OpenAlex
- W2044783290
- Cited by
- 118
- References
- 23
- Citations by year
- 2026: 2 · 2024: 2 · 2022: 7 · 2021: 3 · 2020: 2 · 2019: 2 · 2018: 3 · 2017: 2 · 2016: 3 · 2015: 7 · 2014: 8 · 2013: 6 · 2012: 11
- FWCI
- 4.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetic Medicine (publishedVersion)
- PubMed (publishedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
- Funders
- Eli Lilly and Company
- World Health Organization
- Servier
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- obesity, visceral fat, metabolic syndrome, anthropometric measures, waist circumference, sagittal diameter, waist-to-hip ratio, body mass index, abdominal MRI, ethnic differences
- MeSH terms
- Adult, Anthropometry, Body Constitution, United Kingdom, Humans, India, Magnetic Resonance Imaging, Male, Middle Aged, Obesity, Metabolic Syndrome, White People
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