Predicting intra-abdominal fatness from anthropometric measures: the influence of stature

Han, Thang S.; McNeill, Geraldine; Seidell, Jacob C.; Lean, Michael E. J.

doi:10.1038/sj.ijo.0800446

Cited by 156 publications

(120 citation statements)

References 17 publications

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“…Abdominal obesity, assessed by waist-to-hip ratio or waist circumference for given BMI, has been found to be a better predictor of death than BMI alone, as it captures the harmful abdominal fat. 54,57,58 However, our data from 1976-1978 and 1981-1983 did not include measures of waist and hip circumferences. In addition, we did not have information on either age of obesity onset, duration of obesity, type of lost tissue, whether the weight loss was intended or not and whether it was maintained or not.…”

Section: Strengths and Limitationsmentioning

confidence: 97%

Combined effects of weight loss and physical activity on all-cause mortality of overweight men and women

et al. 2010

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Section: Strengths and Limitationsmentioning

confidence: 97%

Combined effects of weight loss and physical activity on all-cause mortality of overweight men and women

et al. 2010

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“…13 Waist circumference, on the other hand, is highly correlated with intra-abdominal fat volumes determined by magnetic resonance imaging, 14 and predicts increased mortality beyond that accounted for by BMI. 15 BMI was calculated by dividing weight in kilograms by the square of height in metres.…”

Section: Anthropometrymentioning

confidence: 99%

Arterial stiffness, central blood pressure and body size in health and disease

et al. 2011

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Background: Body size is associated with increased brachial systolic blood pressure (SBP) and aortic stiffness. The aims of this study were to determine the relationships between central SBP and body size (determined by body mass index (BMI), waist circumference and waist/hip ratio) in health and disease. We also sought to determine if aortic stiffness was correlated with body size, independent of BP. Methods: BMI, brachial BP and estimated central SBP (by SphygmoCor and radial P2) were recorded in controls (n ¼ 228), patients with diabetes (n ¼ 211), coronary artery disease (n ¼ 184) and end-stage kidney disease (n ¼ 68). Additional measures of waist circumference and arterial stiffness (aortic and brachial pulse wave velocity (PWV)) were recorded in a subgroup of 75 controls (aged 51 ± 12 years) who were carefully screened for factors affecting vascular function. Results. BMI was associated with brachial (r ¼ 0.30; Po0.001) and central SBP (r ¼ 0.29; Po0.001) in the 228 controls, but not the patient populations (ro0.13; P40.15 for all comparisons). In the control subgroup, waist circumference was also significantly correlated with brachial SBP (r ¼ 0.29; P ¼ 0.01), but not central SBP (r ¼ 0.22; P ¼ 0.07). Independent predictors of aortic PWV in the control subgroup were brachial SBP (b ¼ 0.43; Po0.001), age (b ¼ 0.37; Po0.001), waist circumference (b ¼ 0.39; P ¼ 0.02) and female sex (b ¼ À0.24; P ¼ 0.03), but not BMI. Conclusion. In health, there are parallel increases in central and brachial SBP as BMI increases, but these relationships are not observed in the presence of chronic disease. Moreover, BP is a stronger correlate of arterial stiffness than body size.

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“…Our previous MRI study of twenty women, has shown that a single cut at two thirds the distance between xiphisternum and the anterior iliac crest, at approximately the L2±L3 level in most subjects, gave the highest correlation with intra-abdominal fat volume. 3 The present paper described a novel method for calculating extra-abdominal and intra-abdominal fat volumes from multiple MRI scans, and determined the level of a single transverse scan of intra-abdominal fat between L1 and L5 vertebrae, that best predicts intraabdominal fat volumes. Subjects with non-insulin dependent diabetes mellitus (NIDDM) were studied to extend the scope of intra-abdominal fat accumulation.…”

Section: Introductionmentioning

confidence: 99%

Relationship between volumes and areas from single transverse scans of intra-abdominal fat measured by magnetic resonance imaging

et al. 1997

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OBJECTIVE:To determine the level of a single transverse scan of intra-abdominal fat between L1 and L5 vertebrae that best predicts intra-abdominal fat volumes. SUBJECTS: Sixteen male and seven female patients with non-insulin-dependent diabetes mellitus, aged 44±74 y. OUTCOME MEASURES: Volumes and areas from single scans of intra-abdominal fat measured by magnetic resonance imaging with a 1.5 Tesla magnetic ®eld strength. RESULTS: Intra-abdominal fat volumes and masses were calculated from fat areas from eight cross-sectional transverse single scans (nine scans in eight men) of 20 mm thickness. Men and women, respectively, had mean body mass index (BMI) of 27.9 (s.d. 3.0) and 31.6 (s.d. 4.7) kgam 2 , and intra-abdominal fat of 2.3 (s.d. 0.5) and 2.5 (s.d. 0.6) kg. Intra-abdominal fat area of the fourth scan (in the direction of L1 to L5) gave the highest prediction of total intra-abdominal fat both in men (r 0.959, P`0.001) and in women (r 0.973, P`0.001). The intra-abdominal fat area of the third scan gave almost as good a prediction. These third and fourth scans corresponded to L2 and L3 vertebrae. The intra-abdominal fat areas from the sixth and seventh scans, corresponded to the frequently used L4±L5 and had lower correlations with intra-abdominal fat. There were no gender differences in the prediction of volumes from areas of intra-abdominal fat. Intra-abdominal fat areas of the fourth scan explained 93% of variance (SEE 0.14 kg) of total intra-abdominal fat for both genders: intra-abdominal fat (kg) 0.0108 6 intra-abdominal fat area of the fourth scan (cm 2 ) 0.244. CONCLUSIONS: In large studies of intra-abdominal fat, using magnetic resonance imaging (MRI) or computerised tomography scanning, a single intra-abdominal fat area at the intervertebral disc between L2 and L3 vertebrae offers a cheaper, faster and safer method, with high prediction of total intra-abdominal fat volumes and masses.

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Predicting intra-abdominal fatness from anthropometric measures: the influence of stature

Cited by 156 publications

References 17 publications

Combined effects of weight loss and physical activity on all-cause mortality of overweight men and women

Combined effects of weight loss and physical activity on all-cause mortality of overweight men and women

Arterial stiffness, central blood pressure and body size in health and disease

Relationship between volumes and areas from single transverse scans of intra-abdominal fat measured by magnetic resonance imaging

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