Index of central obesity – A novel parameter

Parikh, Rakesh M.; Joshi, Shashank; Menon, P. S. N.; Shah, Nalini

doi:10.1016/j.mehy.2006.10.038

Cited by 73 publications

(75 citation statements)

References 13 publications

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“…However, men are taller and present higher measures for WP in relation to women. Thus, waist-stature ratio means are similar to both sexes due to the adjustment for the stature 54 .…”

Section: Waist-stature Ratiomentioning

confidence: 75%

“…It is assumed that, for a determined stature, there is an acceptable fat degree stored in the body's superior part. Even so the precise effect of stature on the WP is quantitatively unknown, some authors assert that stature has an influence on the magnitude of WP through growing and adult life 53,54 .…”

Section: Waist-stature Ratiomentioning

confidence: 99%

“…Studies show that, although waist-stature ratio has good correlation with visceral fat, it should be the anthropometric indicator used for the prediction of metabolic risks associated with obesity 17,54 . The most used argument is that WP 54 and the BMI 55 need several cut points, depending on the ethnicity and gender 22,25 , which would supposedly difficult its use.…”

Section: Waist-stature Ratiomentioning

confidence: 99%

“…The most used argument is that WP 54 and the BMI 55 need several cut points, depending on the ethnicity and gender 22,25 , which would supposedly difficult its use. According to these authors, WP value's maintenance below the value corresponding to stature's measure, would represent a simple and effective message for all the population, in a way that it can helps to prevent IR syndrome 54,55 . A study conducted with Iranian men showed that the waist-stature ratio presented better performance in predicting type 2 diabetes, compared to BMI 9 .…”

Section: Waist-stature Ratiomentioning

confidence: 99%

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Indicadores antropométricos de resistência à insulina

Vasques¹,

Rosado²,

Rosado³

et al. 2010

Arq. Bras. Cardiol.

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standardization deficiencies for its execution, limiting the comparison between different laboratories results' and its application in clinical practice 4 .Studies have correlated the isolated anthropometric measures and the anthropometric indexes with IR [5][6][7][8][9] . The anthropometric indicators arise as an alternative for IR's evaluation with lower cost and higher easiness of application in epidemiological studies and in health basic attention services. Because of the importance of this theme, the objective was to discuss about the main measures and the anthropometric indexes that have been associated with IR. MethodologyA bibliographic review was performed on available periodics in scientific bases, such as Scielo, Science Direct and Pubmed. The keywords used for the search of articles were: insulin resistance; anthropometry; body mass index; waist circumference; sagittal abdominal diameter; waist-hip ratio; conicity index; waist-thigh ratio; neck circumference; and waiststature ratio. Published articles were selected between 1990 and 2007, besides of the incorporation of classic previously published papers concerning the theme. Most of the studies included in this review were transversal. Some case-control and cohorts works were also discussed. Articles characterized by scientific rigidity, concerning the sample's size and statistical analysis appropriate to the objectives of the study. Insulin resistance Laboratorial determinationIR can be determined directly from the management of a predetermined quantity of exogenous insulin, or indirectly, based on the concentrations of endogenous insulin 10 .The euglycemic hyperinsulinemic clamp is an example of a direct technique that allows the determination of a metabolized insulin quantity, by the peripheric tissues during the stimulation with insulin. Although nowadays it is the golden standard technique for evaluating the IR in vivo, it is costly, slowly and of high complexity, being feasible its application in population studies, and especially in clinical practice AbstractSome studies have analyzed the efficacy of anthropometric indicators in predicting insulin resistance (IR), for they are more economic and accessible. In this study, the objective was to discuss the measures and anthropometric indices that have been associated with IR. A bibliographic review was done, based on Scielo, Science Direct and Pubmed. Among these studies, waist and sagittal abdominal diameter presented better predictive capacity for IR, with more consistent results. The waist-to-thigh, waist-to-size, neck-to-thigh ratios, the conicity and the sagittal index have showed positive results; nevertheless, more studies are necessary to consolidate them as predictors to IR. The obtained results, with the use of body mass index and of the waist-to-hip ratio, were inconsistent. In the Brazilian population, the realization of studies evaluating the performance of these indicators in predicting IR is suggested, since the results of the studies conducted in other populations are not always...

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“…However, men are taller and present higher measures for WP in relation to women. Thus, waist-stature ratio means are similar to both sexes due to the adjustment for the stature 54 .…”

Section: Waist-stature Ratiomentioning

confidence: 75%

Section: Waist-stature Ratiomentioning

confidence: 99%

Section: Waist-stature Ratiomentioning

confidence: 99%

Section: Waist-stature Ratiomentioning

confidence: 99%

See 2 more Smart Citations

Indicadores antropométricos de resistência à insulina

Vasques¹,

Rosado²,

Rosado³

et al. 2010

Arq. Bras. Cardiol.

View full text Add to dashboard Cite

show abstract

“…Waist‐hip ratio was calculated as the ratio of WC/hip circumference. The index of central obesity, constructed to account for race‐ and sex‐specific cutoffs for WC reflecting variability in average heights in these populations, was calculated as WC (cm) divided by height (cm) 22. Visceral adiposity index was calculated by (WC/39.68)+(1.88×BMI)×(Triglycerides/1.03)×(1.31/high‐density lipoprotein cholesterol) for men and (WC/36.58)+(1.89×BMI)×(TG/0.81)×(1.52/high‐density lipoprotein cholesterol) for women 23.…”

Section: Methodsmentioning

confidence: 99%

Dynamic Relation of Changes in Weight and Indices of Fat Distribution With Cardiac Structure and Function: The Dallas Heart Study

Wilner

Garg

Ayers

et al. 2017

JAHA

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BackgroundObesity may increase heart failure risk through cardiac remodeling. Cross‐sectional associations between adiposity and cardiac structure and function have been elucidated, but the impact of longitudinal changes in adiposity on cardiac remodeling is less well understood.Methods and ResultsParticipants in the Dallas Heart Study without cardiovascular disease or left ventricular dysfunction underwent assessment of body weight, anthropometrics, and cardiac magnetic resonance imaging at baseline and 7 years later. Associations between changes in indices of generalized and central adiposity with changes in left ventricular mass, volume, mass/volume ratio (concentricity), wall thickness, and ejection fraction were assessed using multivariable linear regression. The study cohort (n=1262) mean age was 44 years with 57% women, 44% black, and 36% obese participants. At follow‐up, 41% had ≥5% weight gain, and 15% had ≥5% weight loss. Greater weight gain was associated with younger age, lower risk factor burden, and lower body mass index at baseline. In multivariable models adjusting for age, sex, race, comorbid conditions at baseline and follow‐up, baseline adiposity, and cardiac measurement, increasing weight was associated with increases in left ventricular mass (β=0.10, P<0.0001), wall thickness (β=0.10, P<0.0001), and concentricity (β=0.06, P=0.002), with modest effects on end‐diastolic volume (β=0.04, P=0.044) and ejection fraction (β=0.05, P=0.046). Similar results were seen with other adiposity indices.ConclusionsConcentric left ventricular remodeling is the predominant phenotype linked to increasing adiposity in middle age. Our findings support the importance of weight management to prevent secular changes in adiposity, concentric remodeling, and eventual heart failure over time.

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Should waist circumference be replaced by index of central obesity (ICO) in definition of metabolic syndrome?

Parikh¹,

Mohan

Joshi

2012

Diabetes Metabolism Res

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Waist circumference has been widely used as the parameter of central obesity in defining metabolic syndrome. Global consensus definition of metabolic syndrome has suggested various race- and gender-specific cutoffs of waist circumference for quantifying central obesity. We have earlier proposed that using index of central obesity (ICO), the need for race- and gender-specific cutoffs may be obviated. We propose that waist circumference be supplanted with index of central obesity in all definitions of metabolic syndrome. Using index of central obesity a common cutoff of 0.5 applicable across races and genders might be obtained. Moreover, it will enhance the sensitivity of definition by diagnosing subjects who are shorter than general population. Among 258 male and 242 female diabetic patients, subjects with metabolic syndrome (defined as per gender-specific waist circumference cutoffs), were found to have a common lower range of index of central obesity suggesting that a common cutoff of waist circumference may be obtained. In another study from National Health and Nutrition Examination Survey database, replacing index of central obesity with waist circumference was found to enhance the specificity and sensitivity of definition of metabolic syndrome.

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Index of central obesity – A novel parameter

Cited by 73 publications

References 13 publications

Indicadores antropométricos de resistência à insulina

Indicadores antropométricos de resistência à insulina

Dynamic Relation of Changes in Weight and Indices of Fat Distribution With Cardiac Structure and Function: The Dallas Heart Study

Should waist circumference be replaced by index of central obesity (ICO) in definition of metabolic syndrome?

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