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KMID : 1134820100390040511
Journal of the Korean Society of Food Science and Nutrition
2010 Volume.39 No. 4 p.511 ~ p.517
Prevalence of Metabolic Syndrome and Related Risk Factors of Elderly Residents in Andong Rural Area 1. Based on the Anthropometric Measurements and Health Behaviors
Lee Hye-Sang

Kwon Chong-Suk
Abstract
This study was performed to estimate the prevalence and the risk factors of metabolic syndrome in Andong rural area. A total of 1,431 people (533 males, 898 females) aged over 45 years participated in this study in 2003. The prevalence of metabolic syndrome was 38.2% (male 23.5%, female 46.9%, p£¼0.001). As age increased, the prevalence of the metabolic syndrome increased in female, but not in male. The major underlying components of metabolic syndrome were high blood pressure (67.1%), low HDL-cholesterol (60.6%), and abdominal obesity (39.9%). The distinctive component for male was high blood pressure (70.1%), and for female, low HDLcholesterol (73.6%), high blood pressure (65.3%), and abdominal obesity (54.5%). Subjects having more than one component were 94.7%. The risk factors for metabolic syndrome were analyzed using the multiple logistic regression method according to gender and expressed as age-adjusted odds ratio (OR). The results of comparing female to male (OR=2.953), and of comparing obese by % body fat (M: OR=5.786, F: OR=13.498) or BMI (M:OR=3.782, F: OR=13.301) to normal body weight showed significantly higher risk for metabolic syndrome (p£¼0.001). Health related habits, such as smoking, alcohol drinking, and exercise, didn"t show any effect on metabolic syndrome. This study revealed that the prevalence of metabolic syndrome was significantly higher in female subjects compared to both male and female, and high blood pressure was the main cause of metabolic syndrome. We suggest that the strategy for prevention or reducing the prevalence of metabolic syndrome in this area should be concentrated on reducing high blood pressure through lowering obesity and abdominal obesity.
KEYWORD
Andong rural area, metabolic syndrome prevalence, risk factors, odds ratio
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