Predictors of the metabolic syndrome and correlation with computed axial tomography

González, Alfonso; Bellido, Diego; Buño, M.; Pértega, Sonia; Luis, Daniel Antonio de; Olmos, Miguel; Vidal, Ovidio

doi:10.1016/j.nut.2006.08.019

Cited by 56 publications

(47 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Similar to WC, WHtR has been strongly correlated with abdominal fat measured using imaging techniques (1,13) . If an anthropometric index is to be used in a public health context and be used for screening, it is invariably useful to invoke cut-off or boundary values.…”

Section: Introductionmentioning

confidence: 86%

“…Inclusion criteria were: (1) human subjects, male, female or mixed, any age, adults or children, any ethnic group; (2) primary studies, either prospective or cross-sectional design; (3) WHtR and either BMI or WC measured at least once; (4) studies must also have a mortality, a cardiometabolic disease endpoint or cardiometabolic risk outcome measure, and present the relationship between obesity and the disease endpoint or risk outcome.…”

Section: Search Methodsmentioning

confidence: 99%

“…The use of imaging techniques such as computed tomography (CT) (4) and MRI (1,5) indicated that the 'unhealthy apple shape' is associated with a preferential deposition of fat in the internal, visceral fat depots rather than the external, subcutaneous fat depots, this fat distribution being characteristic of the more 'healthy pear shape' (4) . An attempt to assess relative fat distribution was made with the ratio of waist circumference (WC) to hip circumference.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0·5 could be a suitable global boundary value

2010

View full text Add to dashboard Cite

This systematic review collated seventy-eight studies exploring waist-to-height ratio (WHtR) and waist circumference (WC) or BMI as predictors of diabetes and CVD, published in English between 1950 and 2008. Twenty-two prospective analyses showed that WHtR and WC were significant predictors of these cardiometabolic outcomes more often than BMI, with similar OR, sometimes being significant predictors after adjustment for BMI. Observations from crosssectional analyses, forty-four in adults, thirteen in children, supported these predictions. Receiver operator characteristic (ROC) analysis revealed mean area under ROC (AUROC) values of 0·704, 0·693 and 0·671 for WHtR, WC and BMI, respectively. Mean boundary values for WHtR, covering all cardiometabolic outcomes, from studies in fourteen different countries and including Caucasian, Asian and Central American subjects, were 0·50 for men and 0·50 for women. WHtR and WC are therefore similar predictors of diabetes and CVD, both being stronger than, and independent of, BMI. To make firmer statistical comparison, a meta-analysis is required. The AUROC analyses indicate that WHtR may be a more useful global clinical screening tool than WC, with a weighted mean boundary value of 0·5, supporting the simple public health message 'keep your waist circumference to less than half your height'.

show abstract

Section: Introductionmentioning

confidence: 86%

Section: Search Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0·5 could be a suitable global boundary value

2010

View full text Add to dashboard Cite

show abstract

“…Body mass index (BMI) which relates weight to height is most frequently used to estimate the prevalence of obesity within a population.BMI ≥ 25 kg/m 2 is associated with increased morbidity, primarily T2DM, while BMI ≥30 kg/m 2 is associated with an increased risk of morbidity and mortality, mainly because of diabetes (9,10). However, BMI does not distinguish fat from muscle weight nor can distinguishfat distribution (11). Waist circumference (WC) and waist-tohip ratio (WHR) have been proposed as tools to detect central obesity, but WC might over-or underevaluate central obesity prevalence for tall or short individuals with similar waist circumference while WHR has a limitation in case of weight loss when both sizes decrease andthe changes in ratio remain rather small (12).…”

Section: Introductionmentioning

confidence: 99%

Waist-to-height ratio is independently associated with chronic kidney disease in overweight type 2 diabetic patients

2014

View full text Add to dashboard Cite

“…Body mass index (BMI) relates weight to height and was most frequently used to estimate the prevalence of obesity within a population; while BMI ≥25 kg/m 2 is associated with increased T2DM morbidity, BMI ≥30 kg/m 2 is associated with an increased risk of morbidity and mortality from diabetes and its complications 9,10 . However, BMI refl ects total body fat and does not distinguish diff erent patterns of fat distribution 11 . Waist circumference (WC) and waist-to-hip ratio (WHR) have been proposed as tools to detect central obesity but taking into consideration that WC might over-or under-evaluate the risk for tall or short individuals with similar WC and that WHR has a limitation in case of weight loss when both sizes decrease but changes in the ratio remain rather small 12 .…”

Section: Introductionmentioning

confidence: 99%

The Use of Anthropometric Measurements of Obesity in Prediction of Microvascular Complications in Obese Type 2 Diabetic Patients

Bulum

Blaslov

Duvnjak

2016

ACC

View full text Add to dashboard Cite

SUMMARY -Waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) are superior to body mass index (BMI) in predicting type 2 diabetes mellitus (T2DM) development. Th e aim of this study was to investigate the predictive power of BMI, WC, WHR and WHtR for microvascular (chronic kidney disease (CKD), retinopathy and peripheral neuropathy) prevalence in obese (BMI ≥35 kg/m 2 ) T2DM patients. Th is cross-sectional study included 125 T2DM patients of both genders. Th e validity of each test was assessed by Receiver Operating Characteristic (ROC) curves; the area under the curve (AUC) was calculated for each anthropometric parameter and microvascular complication. AUCs for WHtR were signifi cantly higher than AUCs for WC with respect to CKD. Optimal cut-off for WHtR was >0.593 and WC >112 cm regarding CKD. Th e AUC for peripheral neuropathy was signifi cant only for WHR and optimal cut-off for WHR was >1.409 with low sensitivity and high specifi city. Our study demonstrated that WHtR, WC and WHR might be used as simple and noninvasive methods for detection of CKD and peripheral neuropathy in obese T2DM population.

show abstract

Predictors of the metabolic syndrome and correlation with computed axial tomography

Cited by 56 publications

References 44 publications

A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0·5 could be a suitable global boundary value

A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0·5 could be a suitable global boundary value

Waist-to-height ratio is independently associated with chronic kidney disease in overweight type 2 diabetic patients

The Use of Anthropometric Measurements of Obesity in Prediction of Microvascular Complications in Obese Type 2 Diabetic Patients

Contact Info

Product

Resources

About