Using non-invasive assessment methods to predict the risk of metabolic syndrome

摘要

This study aimed to develop non-invasive assessment indicators for predicting the risk of metabolic syndrome. A cross-sectional study design with 154 convenient subjects recruited from the family clinics was used for this study. Physical assessment sheet, lifestyle profile, the heart rate variability assessment and standard blood sample tests were used to measure variables. The subjects were categorized into four groups based on the number of factors meeting the criteria for metabolic syndrome. After excluding invasive blood tests, the results of multivariate logistic regression identified non-invasive assessment (blood pressure, body mass index and very lower frequency of heart rate variability) were the significantly predictors of the risks of metabolic syndrome. When invasive blood test cannot be performed, community health care providers can use the non-invasive physical assessments to predict the risk of early-stage metabolic syndrome, consequently enabling them to implement related health education and interventions. (C) 2014 Elsevier Inc. All rights reserved.