Lifestyle and Genetic Predictors of Stiffness Index in Community-dwelling Elderly Korean Men and Women

Asian Nurs Res (Korean Soc Nurs Sci). 2015 Sep;9(3):251-8. doi: 10.1016/j.anr.2015.05.006. Epub 2015 Jul 18.

Abstract

Purpose: Differing lifestyle, nutritional, and genetic factors may lead to a differing stiffness index (SI) determined by quantitative ultrasound in elderly men and women. The purpose of this study was to determine SI and the gender-specific factors associated with low SI in a Korean elderly cohort.

Methods: This was a cross-sectional descriptive study identifying the gender-specific factors related to SI in 252 men and women aged 65 years and greater from local senior centers in Seoul, Korea between January and February 2009.

Results: The mean SI of elderly men was significantly higher than that of the women's. A multiple regression analysis reveals that age, nutritional status, and physical activity were predictive factors of lower SI in men, whereas age, alcohol consumption, educational level, and genetic polymorphism were predictive factors for elderly women.

Conclusions: Low SI was common in both elderly men and women. We found gender differences in factors linked to low SI. In multiple regression analysis, nutritional status and physical activity were more important factors in men, whereas alcohol consumption, educational level, and genetic polymorphism were significant factors predicting low SI in women. Gender-specific modifiable risk factors associated with low SI should be considered when developing osteoporosis prevention programs for the elderly.

Keywords: aged; bone density; gender; genetic polymorphisms; motor activity.

Publication types

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

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Alcohol Drinking / epidemiology
  • Calcaneus / diagnostic imaging*
  • Cross-Sectional Studies
  • Educational Status
  • Female
  • Humans
  • Life Style
  • Male
  • Motor Activity / physiology
  • Nutritional Status
  • Polymorphism, Genetic
  • Regression Analysis
  • Risk Factors
  • Seoul / epidemiology
  • Sex Factors
  • Ultrasonography