Probable Blind Spot in the International Diabetes Federation Definition of Metabolic Syndrome*

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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Metabolic syndrome by the international diabetes federation definition in Hong Kong Chinese

Diabetes Research and Clinical Practice ◽

10.1016/j.diabres.2005.11.009 ◽

2006 ◽

Vol 73 (1) ◽

pp. 58-64 ◽

Cited By ~ 22

Author(s):

G.T.C. Ko ◽

C.S. Cockram ◽

C.C. Chow ◽

V.T.F. Yeung ◽

W.B. Chan ◽

...

Keyword(s):

Metabolic Syndrome ◽

Hong Kong ◽

International Diabetes Federation ◽

Hong Kong Chinese ◽

International Diabetes Federation Definition

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Optimal cut-off points for waist circumference in the definition of metabolic syndrome in Chile

Public Health Nutrition ◽

10.1017/s1368980020001469 ◽

2020 ◽

Vol 23 (16) ◽

pp. 2898-2903

Author(s):

Fanny Petermann-Rocha ◽

María Adela Martínez-Sanguinetti ◽

Frederick K Ho ◽

Carlos Celis-Morales ◽

Alonso Pizarro

Keyword(s):

Blood Pressure ◽

Metabolic Syndrome ◽

Waist Circumference ◽

Representative Sample ◽

Adult Population ◽

International Diabetes Federation ◽

Operating Characteristics ◽

Specificity And Sensitivity ◽

Definition Of ◽

Chilean Population

AbstractObjective:To identify sex-specific cut-off points for waist circumference (WC) in the definition of metabolic syndrome (MetS) for the Chilean adult population.Design:MetS was defined as the presence of at least two out of four of the following criteria: TAG ≥1·7 mmol/l; HDL-cholesterol: <1·3 mmol/l in women and <1·0 mmol/l in men; systolic blood pressure ≥130 mmHg and/or diastolic blood pressure ≥85 mmHg; and fasting glucose ≥ 5·6 mmol/l or current treatment for diabetes. The receiver operating characteristics curve and the AUC were computed to derive the specificity and sensitivity using bootstrapping (10 000 iterations restricted to have at least between 40 and 60 % of the original population). The optimal cut-off point for the Chilean population was computed by sex.Setting:A representative sample of the Chilean population aged ≥15 years.Participants:8182 participants (60 % women) from the three available Chilean National Health Surveys conducted in 2003, 2009–2010 and 2016–2017.Results:WC had a good predictive ability for MetS (AUC for men 0·74 (95 % CI 0·72, 0·76); AUC for women 0·71 (95 % CI 0·68, 0·73)). The optimal cut-off points for WC, in the definition of MetS, were 92·3 cm (95 % CI 90·5, 94·4) and 87·6 cm (95 % CI 85·8, 92·1) for men and women, respectively.Conclusions:The mentioned cut-off points should be used for WC in the definition of MetS in Chile. As a result, the current recommendation (WHO/International Diabetes Federation) for WC, in the identification of MetS, is not supported by these findings in a representative sample of the Chilean adult population.

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