Matsuda-DeFronzo insulin sensitivity index is a better predictor than HOMA-IR of hypertension in Japanese: the Tanno-Sobetsu study

J Hum Hypertens. 2012 May;26(5):325-33. doi: 10.1038/jhh.2011.23. Epub 2011 Mar 17.


Here we examined whether the Matsuda-DeFronzo insulin sensitivity index (ISI-M) is more efficient than the homeostasis model assessment of insulin resistance (HOMA-IR) for assessing risk of hypertension. Cross-sectional and longitudinal analyses were conducted using normotensive subjects who were selected among 1399 subjects in the Tanno-Sobetsu cohort. In the cross-sectional analysis (n=740), blood pressure (BP) level was correlated with HOMA-IR and with ISI-M, but correlation coefficients indicate a tighter correlation with ISI-M. Multiple linear regression analysis adjusted by age, sex, body mass index (BMI) and serum triglyceride level (TG) showed contribution of ISI-M and fasting plasma glucose, but not of HOMA-IR. In the longitudinal analysis (n=607), 241 subjects (39.7%) developed hypertension during a 10-year follow-up period, and multiple logistic regression indicated that age, TG, systolic BP and ISI-M, but not HOMA-IR, were associated with development of hypertension. In subjects <60 years old, odds ratio of new-onset hypertension was higher in the low ISI-M group (ISI-M, less than the median) than in the high ISI-M group for any tertile of BMI. In conclusion, ISI-M is a better predictor of hypertension than is HOMA-IR. Non-hepatic IR may be a determinant, which is independent of TG, BP level and BMI, of the development of hypertension.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Biomarkers / blood
  • Blood Glucose / metabolism*
  • Blood Pressure*
  • Body Mass Index
  • Cross-Sectional Studies
  • Fasting / blood
  • Female
  • Glucose Tolerance Test
  • Homeostasis
  • Humans
  • Hypertension / blood
  • Hypertension / epidemiology*
  • Hypertension / physiopathology
  • Insulin / blood*
  • Insulin Resistance*
  • Japan / epidemiology
  • Linear Models
  • Logistic Models
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Models, Biological*
  • Multivariate Analysis
  • Odds Ratio
  • Predictive Value of Tests
  • Prognosis
  • Risk Assessment
  • Risk Factors
  • Time Factors
  • Triglycerides / blood


  • Biomarkers
  • Blood Glucose
  • Insulin
  • Triglycerides