Abdominal obesity, insulin resistance, and metabolic syndrome in a southern European population

Ascaso, Juan F.; Romero, Pedro; Real, José T.; Lorente, Rosario I.; Martínez-Valls, José Francisco; Carmena, Rafael

doi:10.1016/s0953-6205(03)00022-0

Cited by 165 publications

(93 citation statements)

References 26 publications

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“…Thus, increasing WC and WHR, making women more predispose to metabolic syndrome and its related complications. These findin gs were also similar to that obtained by Ascaso et al (2003). 9 …”

Section: Discussionsupporting

confidence: 90%

Comparison of anthropometric parameters between Obese and Non-obese women of Western Rajasthan

Dhuria¹

2014

Int Jour of Biomed Res

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Section: Discussionsupporting

confidence: 90%

Comparison of anthropometric parameters between Obese and Non-obese women of Western Rajasthan

Dhuria¹

2014

Int Jour of Biomed Res

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“…Seventy-five of the 136 were obese (55%), by using the BMI 30 kg/m 2 cutoff. Seventeen (12.5 %) had insulin resistance, defined as a HOMA-IR value >3.99 (12). Both BIA estimates of %BF correlated with BMI (Pearson bivariate r = 0.71 for both BIA 8 and BIA 4 , both P < 0.001) and %BF DXA (r = 0.58 for BIA 4 and r = 0.73 for BIA 8 , both P < 0.001).…”

Section: Resultsmentioning

confidence: 94%

No Apparent Progress in Bioelectrical Impedance Accuracy: Validation Against Metabolic Risk and DXA

Hemmingsson

Uddén

Neovius

2009

Obesity

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Bioelectrical impedance (BIA) is quick, easy, and safe when quantifying fat and lean tissue. New BIA models (Tanita BC‐418 MA, abbreviated BIA8) can perform segmental body composition analysis, e.g., estimate %trunkal fatness (%TF). It is not known, however, whether new BIA models can detect metabolic risk factors (MRFs) better than older models (Tanita TBF‐300, abbreviated BIA4). We therefore tested the correlation between MRF and percentage whole‐body fat (%BF) from BIA4 and BIA8 and compared these with the correlation between MRF and dual‐energy X‐ray absorptiometry (DXA, used as gold standard), BMI and waist circumference (WC). The sample consisted of 136 abdominally obese (WC ≥ 88 cm), middle‐aged (30–60 years) women. MRF included fasting blood glucose and insulin; high‐density lipoprotein cholesterol, low‐density lipoprotein cholesterol, and triglycerides; high sensitive C‐reactive protein, plasminogen activator inhibitor‐1 (PAI‐1), and fibrinogen; and alanine transaminase (ALT) liver enzyme. We found that similar to DXA, but in contrast to BMI, neither %BF BIA4 nor %BF BIA8 correlated with blood lipids or ALT. In the segmental analysis of %TF, BIA8 only correlated with inflammatory markers, but not insulin, blood lipids, or ALT liver enzyme (in contrast to WC and %TF DXA). %TF DXA was associated with homeostatic model assessment insulin resistance (HOMA‐IR) independently of WC (P = 0.03), whereas %TF BIA8 was not (P = 0.53). Receiver‐operating characteristic (ROC) curves confirmed that %TF BIA8 did not differ from chance in the detection of insulin resistance (P = 0.26). BIA estimates of fatness were, at best, weakly correlated with obesity‐related risk factors in abdominally obese women, even the new eight‐electrode model. Our data support the continued use of WC and BMI.

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“…Abdominal obesity is a strongly concluded phenotypic companion for a cluster of metabolic abnormalities characterized by insulin resistance [4,5]. However, the association with abdominal obesity and features of the metabolic syndrome has been reported to vary with gender [6,7], and with different degrees of obesity [8,9]. Although abdominal obesity is the best obesity-related predictor of Correspondence: Ulf Lindblad, Community Medicine, Department of Clinical Sciences, Malmö University Hospital, SE-205 02 Malmö, Sweden.…”

mentioning

confidence: 99%

Abdominal obesity and insulin resistance in patients with type 2 diabetes in a Swedish community

Bari¹,

Östgren²,

Råstam³

et al. 2006

Scandinavian Journal of Primary Health Care

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Abdominal obesity, insulin resistance, and metabolic syndrome in a southern European population

Cited by 165 publications

References 26 publications

Comparison of anthropometric parameters between Obese and Non-obese women of Western Rajasthan

Comparison of anthropometric parameters between Obese and Non-obese women of Western Rajasthan

No Apparent Progress in Bioelectrical Impedance Accuracy: Validation Against Metabolic Risk and DXA

Abdominal obesity and insulin resistance in patients with type 2 diabetes in a Swedish community

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