Using structural equation model to illustrate the relationship between metabolic risk factors and cardiovascular complications in Taiwan.

Research paper by Jou-Wei JW Lin, Juey-Jen JJ Hwang, Dao-Fu DF Dai, Yung-Zu YZ Tseng

Indexed on: 29 Jul '06Published on: 29 Jul '06Published in: European journal of cardiovascular prevention and rehabilitation : official journal of the European Society of Cardiology, Working Groups on Epidemiology & Prevention and Cardiac Rehabilitation and Exercise Physiology


The objective of this study was to perform a population-based screening programme to determine the prevalence of the metabolic syndrome (MetS) and the relationship between metabolic risk factors and prevalent cardiovascular complications in Taiwan.A screening programme recruited residents aged 40 years and older in Sanchih, Taipei County, Taiwan, and collected demographic data, blood and urine samples. Fasting plasma glucose level, serum total cholesterol, high-density lipoprotein cholesterol, and triglyceride were measured. Atherosclerotic complications, including myocardial infarction, stress-positive angina, ischaemic stroke, and proteinuria were confirmed.A structural equation model (SEM) was constructed to identify the association between metabolic abnormality and atherosclerosis.A total of 1494 subjects, 776 male and 718 female, were recruited in this study. The crude prevalence of the MetS was 19.3% for men [95% confidence interval (CI) 16.3-22.2%] and 18.7% for women (95% CI 15.6-22.0%). The presence of the MetS posed a substantial risk to microvascular complications in both sexes [odds ratio (OR) 3.29, P<0.001] and to macrovascular complications in men (OR 1.95, P=0.04) and also a trend in women (OR 2.24, P=0.089). There was a positive association between metabolic abnormality and atherosclerosis (B=0.55, P<0.001).This study has found the prevalence of the MetS and the association with atherosclerotic complications in Taiwan. The SEM approach has demonstrated a positive correlation between metabolic abnormality and atherosclerosis and can be used to explore new risk factors for cardiovascular diseases.

More like this: