The Risk Factors and Prediction Model for Metabolic Syndrome in a MiaoLi Community Women

碩士 === 國防醫學院 === 公共衛生學研究所 === 101 === Backgroud: The health problems caused by metabolic syndrome are an important issue around all countries. Patients with metabolic syndrome are at high risk of cardiovascular diseases and diabetes. Aim: This study aims to investigate the risk factors of metabolic...

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Bibliographic Details
Main Authors: Li, Han-Yu, 李函彧
Other Authors: Su, Sui-Lung
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/59972314383560141171
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Summary:碩士 === 國防醫學院 === 公共衛生學研究所 === 101 === Backgroud: The health problems caused by metabolic syndrome are an important issue around all countries. Patients with metabolic syndrome are at high risk of cardiovascular diseases and diabetes. Aim: This study aims to investigate the risk factors of metabolic syndrome in women in a Miaoli community and establish a prediction model. Materials and Methods: This study was a cross-sectional study, and used data analysis to assess the data from the health examination of Miaoli community. Participants who were aged 40 years and more were selected in the study, finally there were 235 women were recruited for analyzed. The diagnoses for the metabolic syndrome are from the Diagnostic Criteria 2007 proclaimed by the Bureau of Health Promotion.The statistic analyses used in this study include: descriptive statistics, chi-square test, logistic regression analysis and ROC curve. Result: The average age of women was 54.2 years old. There are 67 women in metabolic syndrome group. Using logistic regression to examine the risk factor of metabolic syndrome, the study found the factors of obesity and premenopausal, eating health food less than once a day and taking medicine, drinking sugared beverage and heart disease as well as heart rate >78 bpm were significantly related to the occurrence of metabolic syndrome. After checking the strata for the selected risk factor, individuals can acquire their total risk point. Referring to risk score by matched total risk point, individuals can recognize their risk level for the development of metabolic syndrome. Conclusion: The results suggest that BMI and menopause situation, taking medicines and the frequency of taking health food, drinking sugared beverage and heart disease as well as heart rate are risk factors of metabolic syndrome. A prediction model for estimating risk of having metabolic syndrome was created. These findings of the study can be used to guide the prevention measures and appropriate care for health care sectors, in order to promote the health of adult population.