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Anthropometrical measures are easily obtainable sensitive and specific predictors of insulin resistance in healthy individuals

Authors:

Juan Ybarra ,

Department of Endocrinology, Servicio de Endocrinologia y Nutricion, Hospital de la Santa Creu i de Sant Pau, Av. P. Maria Claret 167, 08025-Barcelona, ES
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Joan Sanchez-Hernandez,

Department of Medicine, Universitat Autonoma de Barcelona (UAB), Barcelona, ES
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Jose Maria Pou,

Department of Endocrinology, Servicio de Endocrinologia y Nutricion, Hospital de la Santa Creu i de Sant Pau, Av. P. Maria Claret 167, 08025-Barcelona, ES
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Sandra Fernández,

Department of Endocrinology, Servicio de Endocrinologia y Nutricion, Hospital de la Santa Creu i de Sant Pau, Av. P. Maria Claret 167, 08025-Barcelona, ES
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Ignasi Gich,

Department of Epidemiology, Hospital de Sant Pau, Barcelona, ES
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Jordi Ordóñez-Llanos,

Department of Biochemistry, Hospital de Sant Pau, Barcelona, ES
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Jeroni Jurado,

EAP OLOT, ICS, Girona, ES
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Alberto de Leiva,

Department of Endocrinology, Servicio de Endocrinologia y Nutricion, Hospital de la Santa Creu i de Sant Pau, Av. P. Maria Claret 167, 08025-Barcelona, ES
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Antonio Pérez

Department of Endocrinology, Servicio de Endocrinologia y Nutricion, Hospital de la Santa Creu i de Sant Pau, Av. P. Maria Claret 167, 08025-Barcelona, ES
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Abstract

Background: To investigate whether user-friendly anthropometrical variables, i.e., waist circumference (WC) and body mass index (BMI) can properly identify insulin resistance (IR) in healthy subjects.

Methods: A cross-sectional study was carried out with 164 disease-free subjects (78 males and 86 females aged 22–50 years) recruited from hospital staff in Barcelona (Spain) over a period of one year. BMI, WC, blood pressure, total cholesterol, triglycerides, HDL-cholesterol, glucose and insulin were measured by standard methods. IR was defined as homeostasis model assessment (HOMA)-IR equal to or greater than 3,8.

Results: The prevalence of IR was 29.9% (males 39.5%, females 21.8%; P=0.017). Multiple stepwise linear regression analysis identified WC (r2=0.496; P<0.0005) as the only independent predictor of IR in the whole group. WC (r2=0.499; P<0.0005) was the only variable that predicted IR in men and BMI (r2=0.506; P<0.0005) in women. WC above 88 cm for women and 102 cm for men predicted IR with a sensitivity of 90.9% and 100%, and a specificity of 71.7% and 51.6%, respectively. However, receiving operator characteristics (ROC) curve analysis showed optimal WC values of 106.5 and 97.5 cm for men and women, respectively.

Conclusions: WC is a simple, non-invasive and efficient tool for the screening of IR in the general population. Finally, taking into account that cut-off points of WC are population-specific, it will be of considerable interest to establish the relationship of WC with metabolic complications in all ethnic groups in order to generate useful critical values.

How to Cite: Ybarra J, Sanchez-Hernandez J, Pou JM, Fernández S, Gich I, Ordóñez-Llanos J, et al.. Anthropometrical measures are easily obtainable sensitive and specific predictors of insulin resistance in healthy individuals. Global Heart. 2005;1(2):175–81. DOI: http://doi.org/10.1016/j.precon.2005.05.001
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Published on 01 Jun 2005.

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