Nutrition, Metabolism & Cardiovascular Diseases
Volume 20, Issue 3 , Pages 173-179, March 2010

Comparison between several insulin sensitivity indices and metabolic risk factors in overweight and obese postmenopausal women: A MONET study

  • F.M. Malita

      Affiliations

    • Department of Nutrition, University of Montreal, Montreal, Quebec, Canada
  • ,
  • V. Messier

      Affiliations

    • Department of Nutrition, University of Montreal, Montreal, Quebec, Canada
  • ,
  • J.-M. Lavoie

      Affiliations

    • Department of Kinesiology, University of Montreal, Montreal, Quebec, Canada
  • ,
  • J.-P. Bastard

      Affiliations

    • INSERM U680, Faculté de Médecine Saint-Antoine et Service de Biochimie et Hormonologie, AP-HP; Hôpital Tenon, Université Pierre et Marie Curie, Paris, France
  • ,
  • R. Rabasa-Lhoret

      Affiliations

    • Department of Nutrition, University of Montreal, Montreal, Quebec, Canada
    • CHUM (Centre hospitalier de l'Université de Montréal) Research Center, Montreal, Quebec, Canada
    • MDRC (Montreal Diabetes Research Center), Montreal, Quebec, Canada
  • ,
  • A.D. Karelis

      Affiliations

    • Department of Kinanthropology, University of Quebec at Montreal, Case postale 8888, succursale Centre-ville, Montreal, Quebec H3C 3P8, Canada
    • Corresponding Author InformationCorresponding author. Tel.: +1 514 987 3000x5082; fax: +1 514 987 6616.

Received 17 November 2008; accepted 9 March 2009. published online 08 June 2009.

Abstract 

Background and aims

The purpose of this study was to compare the relationship of several insulin sensitivity indices with cardiometabolic risk factors in overweight and obese postmenopausal women.

Methods and results

This was a cross-sectional study involving 137 overweight and obese postmenopausal women (age: 57.7±4.8 yrs; body mass index: 32.4±4.6kg/m2; body fat: 38.6±9.2kg). Insulin sensitivity was determined by the euglycaemic–hyperinsulinemic (EH) clamp technique as well as by oral glucose tolerance test (OGTT) derived indices (Stumvoll, Matsuda and SIis) and fasting surrogate indices (HOMA, QUICKI). Cardiometabolic risk factors included: body composition and visceral fat that were measured using dual energy X-ray absorptiometry and computed tomography, respectively. Peak oxygen consumption, lower body muscle strength (using weight training equipment), physical activity energy expenditure (doubly labeled water), plasma lipids and C-reactive protein were also measured. Correlations of insulin sensitivity indices with metabolic risk factors showed some similarities, however, a wide range of variations were also observed. Furthermore, our results showed that visceral fat was the primary predictor for surrogate and OGTT indices, explaining 15–28% of the variance and the triglycerides/HDL-C ratio was the primary predictor for the EH clamp indices, explaining 15–17% of the variance.

Conclusion

The present study indicates that the different methods of measuring and/or expressing insulin sensitivity display variations for associations with cardiometabolic risk factors. Therefore, interpretations of relationships between insulin sensitivity indices and cardiometabolic risk factors should take into account the method used to estimate and express insulin sensitivity.

Keywords: OGTT, HOMA, QUICKI, Euglycemic–hyperinsulinemic clamp, Insulin resistance

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PII: S0939-4753(09)00068-4

doi:10.1016/j.numecd.2009.03.005

Nutrition, Metabolism & Cardiovascular Diseases
Volume 20, Issue 3 , Pages 173-179, March 2010