Lifestyle and Genetic Predictors of Stiffness Index in Community-dwelling Elderly Korean Men and Women.
10.1016/j.anr.2015.05.006
- Author:
Kyung Ae PARK
1
;
Yeon Hwan PARK
;
Min Hee SUH
;
Smi CHOI-KWON
Author Information
1. Department of Hotel Culinary Arts and Nutrition, Kaya University, Kyungnam, South Korea.
- Publication Type:Original Article ; Multicenter Study ; Research Support, Non-U.S. Gov't
- Keywords:
aged;
bone density;
gender;
genetic polymorphisms;
motor activity
- MeSH:
Age Factors;
Aged;
Aged, 80 and over;
Alcohol Drinking/epidemiology;
Calcaneus/*ultrasonography;
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
- From:Asian Nursing Research
2015;9(3):251-258
- CountryRepublic of Korea
- Language:English
-
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.
