Literature DB >> 20044113

Preliminary report: homeostasis model assessment of insulin resistance, an indicator of insulin resistance, is strongly related to serum insulin: practical data presentation and the mathematical basis.

Tomoyuki Kawada1.   

Abstract

The homeostasis model assessment for insulin resistance (HOMA-R) is frequently used as an indicator of insulin resistance. The purpose of this study was to clarify the advantage of HOMA-R as an indicator of insulin resistance. A population of 3008 Japanese male workers (34 to 64 years old), who have no history of diabetes mellitus, hypertension, dyslipidemia, hyperuricemia, coronary and/or cerebrovascular disease and their fasting plasma glucose were under 140 mg/dL. The Spearman's rank correlation coefficient between HOMA-R and the serum insulin was 0.982. Although HOMA-R is also regulated by the plasma glucose, insulin and plasma glucose are not independent. The lower and upper 2.5%ile data of plasma glucose were prepared, which were used for mathematical basis of strong correlation between HOMA-R and serum insulin. Subjects with higher insulin had higher plasma glucose, which was resulted in higher HOMA-R. In the same manner, HOMA-R would become lower in the area of lower insulin levels. As two lines of the lower and upper 2.5%ile data of plasma glucose exists near, the correlation between HOMA-R and serum insulin became very strong. Although HOMA-R is a popular indicator of insulin resistance, we recommend that HOMA-R could be substituted simply by serum insulin. This may be valid in the general population with no remakable medical condition.

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Year:  2009        PMID: 20044113     DOI: 10.1016/j.metabol.2009.10.028

Source DB:  PubMed          Journal:  Metabolism        ISSN: 0026-0495            Impact factor:   8.694


  6 in total

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Authors:  Konstantinos Michalakis; Carel le Roux
Journal:  Obes Surg       Date:  2012-10       Impact factor: 4.129

2.  Insulin-related biomarkers and their relationship with hepatic fibrosis risk in patients with psoriasis, metabolic syndrome and non-alcoholic fatty liver disease.

Authors:  Tomoyuki Kawada
Journal:  J Gastroenterol       Date:  2013-02-27       Impact factor: 7.527

3.  Insulin resistance, serum insulin and HOMA-R.

Authors:  A Campanati; G Ganzetti; A Di Sario; A Benedetti; A Offidani
Journal:  J Gastroenterol       Date:  2013-03-12       Impact factor: 7.527

4.  Insulin-related biomarkers to predict the risk of metabolic syndrome.

Authors:  Tomoyuki Kawada
Journal:  Int J Endocrinol Metab       Date:  2013-10-11

5.  Obesity - should we revise indications for treatment with metformin?

Authors:  Magdalena Kujawska-Luczak; Hanna Stankowiak-Kulpa; Ewelina Swora-Cwynar; Katarzyna Musialik; Paweł Bogdański; Joanna Suliburska; Marian Grzymisławski
Journal:  Prz Menopauzalny       Date:  2014-05-21

6.  The effect of orlistat versus metformin on body composition and insulin resistance in obese premenopausal women: 3-month randomized prospective open-label study.

Authors:  Magdalena Kujawska-Łuczak; Katarzyna Musialik; Monika Szulińska; Ewelina Swora-Cwynar; Angelina Kargulewicz; Małgorzata Grzymisławska; Danuta Pupek-Musialik; Paweł Bogdański
Journal:  Arch Med Sci       Date:  2016-08-29       Impact factor: 3.318

  6 in total

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