| Objective1. We studied the current situation of life insurance applicants receiving medical examination in Suzhou, to understand the prevalence rate of multiple metabolic disorders accumulation.2. To analysis of features of the population and the risk factors, to provide epidemiological evidence for multiple metabolic disorders study of life insurance applicants.3. To investigate the intervention strategies and measures of chronic disease prevention after having insured, to provide a new thought of chronic disease prevention for life insurance application.Methods1. The data of1829participants in Suzhou from September2002to April2011were analyzed medically.2. Unified questionnaire to review the investigations of overall basic subjects such as age, occupation, income, smoking history, alcohol history, etc., according to the examination results when applicants insured, record the participants’height (HT), weight (WT), waist circumference (WC), blood pressure (BP) and plasma glucose (FPG), blood fat, uric acid (UA) and other biochemical parameters and calculate body mass index (BMI) values, to analyzed the obtained data statistically. The multiple metabolic disorders is defined as1or more indicators of hypertension or normal high value, hyperglycemia, dyslipidemia, large waist. 3. Establish a database by using Epidata3.1, every questionnaire was undergone a verification under double checked. Using SPSS18.0software for statistical analysis. The model of multinomial logistic regression has been used in the paper, to calculate the influence of different risk factors of multiple metabolic disorders accumulation. Odds ratio (Odds ratio, OR) and95%confident intervals (95%Confident interval,95%CI). All tests were two-sided test with level α=0.05.Results1. There are1301male in the study, average age (35.86±8.87), and528cases of female, average age (36.43±10.71). In addition to blood sugar, BMI, waist circumference, blood pressure, blood lipid levels and other metabolic parameters in men and women were statistically significant differences between (p<0.0016～0.0001). The prevalence of multiple metabolic disorders in a statistically significant difference between men and women (p<0.005),The proportions of one or more multiple metabolic disorders were76.12%, of three multiple metabolic disorders were28.43%, and the detection rates of multiple metabolic disorders in male were higher than those in female (p＜0.000).2. The result of multinomial logistic regression show that after adjustment for gender, age, occupation, cigarette smoking, alcohol drinking, BMI, BUN, Cr and UA, the multiple metabolic risk factors in1to2and more than3gathering, including age, BMI and uric acid, respectively OR (95%CI) is1.090(1.070～1.110)、5.206(3.634～7.457).1.372(1.174-1.602) and1.147(1.122～1.172)、22.387(14.905～33.625)、1.922(1.579～2.339); female is a protective risk, OR(95%CI)0.640(0.455～0.900) and0.358(0.211～0.607), respectively.Conclusions1. The prevalence rate of multiple metabolic disorders accumulation of life insurance applicants in Suzhou is high, deserves attention and further research. 2. The result of multinomial logistic regression showed that in the life insurance medical examination groups, whether factor of metabolic abnormalities is between1or2during the gathering time, or even over3(≥3) the female gender is a protective factor overall, while increasing age, heighten of BMI and uric acid remained independent and high risk.3. Life insurance companies may using corresponding way to intervene and provide adequate protection for multiple metabolic disorders population, especially focus on the control of BMI, to prevent metabolic syndrome, diabetes mellitus and Cardiovascular disease, which also conducive to effectively reduce the risk.4. By univariate and multivariate analysis of the risk factors of multiple metabolic disorders accumulation, multinomial logistic regression adopted in the study can increase efficiency after adjustment for other confounding factors. |
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