Cardiovascular Disease Risk factor / Triglyceride Level Analysis

Background: Recently, China is economically to become the second-largest in the world after the United States (1). The cardiovascular health of the state employees in Chinese government is worth noticing (2). This study cohort was from Henan Province, as Henan is the largest one of the provinces in China, the statistics can be applied equally to the entire China. Controlling risk factor to reduce morbidity for disease is one of the concerns in preventive medicine. Thirty thousand state employees were participated for the investigation, triglyceride effect is found as a major risk factor for Cardiovascular disease. Methods: Randomly sampled thirty thousand state employees from Henan Province Hospital aged 35 years to 59 years. This article subjected the participants to physical examinations and instructed them to answer medical questionnaires. A simple assessment model of the morbidity risk on local individuals with ICVD was included. Results: The average exposure rates of civil servants in terms of overweight, hyperlipidemia, hypertension, diabetes mellitus, and smoking were 62.96%, 76.07%, 34.87%, 8.10% and 21.30%, respectively. The prevalence of hyperlipidemia and diabetes mellitus increased with age. The risk factor exposure of male civil servants was significantly higher than that of female civil servants. The absolute risk of male civil servants of ICVD for 10 years was higher than that of healthy individuals of the same age, and the absolute risk increased rapidly beyond the age of 45 years. The absolute risk of female civil servants was also higher than that of healthy individuals beyond the age of 40 years; nevertheless, this risk likely increased rapidly beyond the age of 50 years. A prediction model for Myocardial Infarction is proposed. Conclusion: The morbidity risk of Henan provincial state employees with ICVD remains at a high level. As such, effective health management is recommended for them. The assessment method for ICVD is available to screen high risk populations, but this information should be further evaluated and developed in terms of index score weighting. (Teng Junyan, Wei Yanping, Cao Xingguo, Chang Xiaowan, Su Fengming, Zhang Yifei, Zhong Jingquan. Cardiovascular Disease Risk factor / Triglyceride Level Analysis. Life Sci J 2015;12(3):180-185). (ISSN:1097-8135). http://www.lifesciencesite.com . 24