Light-intensity physical activity is associated with insulin resistance in elderly Japanese women independent of moderate-to vigorous-intensity physical activity

J Phys Act Health. 2014 Feb;11(2):266-71. doi: 10.1123/jpah.2012-0071. Epub 2013 Jan 28.

Abstract

Background: It is unclear whether light physical activity is beneficially associated with insulin resistance, similar to moderate and/or vigorous physical activity. This cross-sectional study was performed to determine the relationship between the amount of light physical activity, as determined with a triaxial accelerometer, and insulin resistance.

Methods: A total of 807 healthy men and women participated in this study. Physical activity was measured using a triaxial accelerometer worn for 28 days and summarized as light intensity (1.1-2.9 METs) or moderate to vigorous intensity (≥ 3.0 METs). Insulin resistance was evaluated by HOMA_R (FPG [mg/dL] × IRI [μU/mL]/405).

Results: The daily time spent in light physical activity was inversely associated with HOMA_R (r = -0.173, P < 0.05). After adjustment for confounders, the association between light physical activity and HOMA_R remained statistically significant (β = -0.119, P < .05). Light physical activity remained significantly associated with HOMA_R following further adjustment for moderate to vigorous intensity activity (β = -0.125, P < .05). Similar results were observed when light physical activity was modeled as quartiles, especially in elderly women.

Conclusions: These cross-sectional data suggest that light-intensity physical activity is beneficially associated with insulin resistance in elderly Japanese women.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Accelerometry
  • Aged
  • Aging*
  • Analysis of Variance
  • Cross-Sectional Studies
  • Diabetes Mellitus, Type 2 / ethnology
  • Diabetes Mellitus, Type 2 / prevention & control*
  • Exercise / physiology*
  • Female
  • Humans
  • Insulin Resistance / ethnology
  • Insulin Resistance / physiology*
  • Japan
  • Male
  • Middle Aged
  • Motor Activity / physiology*
  • Physical Fitness
  • Predictive Value of Tests
  • Regression Analysis
  • Risk Factors