Optimal waist:height ratio cut-off point for cardiometabolic risk factors in Turkish adults

Can, Ahmet Selçuk; Yıldız, Emine; Samur, Gülhan; Rakıcıoğlu, Neslişah; Pekcan, Ayla Gülden; Özbayrakci, Sinan; Palaoğlu, K. Erhan; Gönen, Mithat; Bersot, Thomas P.

doi:10.1017/s1368980009991637

Cited by 19 publications

(5 citation statements)

References 36 publications

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“…Similar values were achieved in the Brazilian population (≥0.54 for men and ≥0.55 for women), in which 52% of the participants were white [28]. However, slightly higher cut-offs were suggested in Turkey (0.58 for men and 0.59 for women) [29] and in the USA (0.58 for men and women) [30]. In the previously mentioned study conducted in the USA, more than half of the participants were NonHispanic Caucasians.…”

Section: Discussionsupporting

confidence: 67%

The Usefulness of Anthropometric Indices to Identify the Risk of Metabolic Syndrome

et al. 2019

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Despite several papers having been published on the association between adiposity and the risk of metabolic syndrome (MetS), it is still difficult to determine unambiguously which of the indices of nutritional status is the best to identify MetS. The aim of this study was to analyze the ability of six anthropometric indices to identify MetS in the Polish population. The highest odds ratios for the occurrence of MetS, according to International Diabetes Federation (IDF), were noted for the following indices: waist-to-height ratio (WHtR, OR = 24.87) and Clínica Universidad de Navarra-body adiposity estimator (CUN-BAE, OR = 17.47) in men and WHtR (OR = 25.61) and body roundness index (BRI, OR = 16.44) in women. The highest odds ratios for the modified definition of MetS (without waist circumference) were found for the following indices: WHtR (OR = 7.32), BRI (OR = 6.57), and CUN-BAE (OR = 6.12) in women and CUN-BAE (OR = 5.83), WHtR (OR = 5.70), and body mass index (BMI, OR = 5.65) in men (p < 0.001 for all). According to the Receiver Operating Characteristic (ROC) analyses conducted for the identification of MetS, defined in accordance with IDF, the largest areas under the curve (AUCs) in men were observed for WHtR and CUN-BAE indices, whereas in women, they were observed for WHtR and BRI. In the analysis carried out for the identification of MetS (according to modified definition, without waist circumference), the AUCs were larger for WHtR and BRI in women, while in men, they were larger for CUN-BAE, BMI, and WHtR. BMI was also characterized by a relatively strong discriminatory power in identifying individuals with MetS. An optimal cut-off point for MetS, in accordance with the conventional definition, for both sexes was the value of BMI = 27.2 kg/m2. The weakest predictor of the syndrome was the ABSI (a body shape index) indicator. The most useful anthropometric indicator for the identification of MetS, both in men and in women in the Polish population, was WHtR. The optimal cut-off points for WHtR equaled 0.56 in men and 0.54 in women.

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Section: Discussionsupporting

confidence: 67%

The Usefulness of Anthropometric Indices to Identify the Risk of Metabolic Syndrome

et al. 2019

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“…Therefore, WC and WHR are stronger indicators of abdominal obesity and development of the MS. Waist hip ratio is so far the most widely used index of central fat distribution due to its benefits in routine monitoring and assessment in patients. Studies in Europeans [ 29 ], Asians [ 30 ], Africans [ 10 ], and Arab communities [ 31 ] were done by using ROC analysis to compare the performance of obesity indices for identifying such risks. Our results are in agreement with some of these studies [ 32 – 34 ].…”

Section: Discussionmentioning

confidence: 99%

Indicators of the metabolic syndrome in obese adolescents

Zaki

El-Bassyouni

Gammal

et al. 2015

aoms

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IntroductionTo assess the prevalence of metabolic risk indicators for the metabolic syndrome (MS) in a sample of obese Egyptian adolescents and to compare anthropometric and biochemical parameters in subjects with one or two parameters of the MS with those who meet MS criteria.Material and methodsA descriptive, cross-sectional study was conducted on 300 obese adolescents, with a mean age of 15.45 ±2.54 years. Variables examined included body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR), systolic and diastolic blood pressure (BP), fasting blood glucose, cholesterol, triglycerides (TG), high-density lipoprotein (HDL), low-density lipoproteins (LDL), insulin and insulin resistance (IR) measured by Homeostasis Model Assessment-Insulin Resistance (HOMA-IR). Receiver operating characteristic (ROC) curve analysis was used to determine the predictive powers of anthropometric parameters associated with increased risk for the MS.ResultsThe overall prevalence of the MS was 20%. Individuals meeting 3 or more MS criteria had significantly higher levels of BP, TG, glucose, insulin and HOMA-R and low HDL levels compared with those who had 1 or 2 MS criteria. Area under the curve (AUC) for identifying the MS risk factors was the highest for WHR, followed by WC and BMI in both genders (p < 0.001).ConclusionsThe most prevalent metabolic risk factors that compose the MS were arterial hypertension, low HDL and hypertriglyceridemia; BMI tended to be the weakest index for identifying MS risk factors, while WHR was the best predictive index in both genders.

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“…A BMI cut-point of ≥27kg/m 2 is reported on because it is the point at which an individual is considered to be at increased risk according to the BMI question on the ADA risk test [29, 37]. Waist circumferences of >102 centimeters (40 inches) for men and > 88centimeters (35 inches) for women, based on the NCEP ATPIII guidelines for metabolic syndrome [35] and waist to height ratios of ≥0.5 and ≥0.6, selected based on previous investigations, were evaluated [33, 38, 39]. This project was approved by the University of Pittsburgh Institutional Review Board.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of non-invasive screening measures to identify individuals with prediabetes

Vanderwood

Kramer

Miller

et al. 2015

Diabetes Research and Clinical Practice

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Aims Because blood-based screening to identify those with prediabetes to take part in Diabetes Prevention Program (DPP) translation efforts can be costly and time-consuming, non-invasive methods are needed. The aims of this paper are to evaluate the ability of the American Diabetes Association (ADA) risk test in identifying individuals with prediabetes, as well as the use of body composition measures for this purpose. In addition the utility of these alternate methods to ascertain the presence of the metabolic syndrome was assessed. Methods Potential participants were recruited from a worksite and three community centers to take part in a DPP translation study. Participants completed onsite screening where anthropometric measures, fasting lipids and glucose, and hemoglobin A1c were assessed. Those with a BMI ≥24kg/m2 and prediabetes and/or the metabolic syndrome were eligible to participate. Non-invasive screening methods were evaluated for their ability to identify those with prediabetes and the metabolic syndrome based on clinically measured values. Results All non-invasive methods were highly sensitive (68.9% to 98.5%) in the detection of prediabetes, but specificity was low (6.7% to 44.5%). None of the alternatives evaluated achieved acceptable discrimination levels in ROC analysis. Similar results were noted in identifying the metabolic syndrome. Conclusions The non-invasive methods evaluated in this study effectively identify participants with prediabetes, but would also allow for enrollment of a large number of individuals who do not have prediabetes. Deciding whether to use these alternatives, blood-based measures, or a combination of both will ultimately depend on the purpose of the program and the level of flexibility regarding participant eligibility.

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Optimal waist:height ratio cut-off point for cardiometabolic risk factors in Turkish adults

Abstract: We show that the optimal WHtR cut-off point to discriminate cardiometabolic risk factors is 0.59 in Turkish adults.

Cited by 19 publications

References 36 publications

The Usefulness of Anthropometric Indices to Identify the Risk of Metabolic Syndrome

The Usefulness of Anthropometric Indices to Identify the Risk of Metabolic Syndrome

Indicators of the metabolic syndrome in obese adolescents

Evaluation of non-invasive screening measures to identify individuals with prediabetes

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