Study Of Factors Related To Diabetes Incidence

Objective:This work acquired the information of family history, diet rules and life habits, etc of target population and detected human body composition indexes, biochemical indicators, the antioxidant index and some metabolic product levels of target population. And then, in order to find out the potential factors of diabetes onset, the collected information was investigated by statistics analysis.Methods: In our study, type2diabetes patients in jining medical school affiliated hospital outpatient service or in jining medical school affiliated hospital were randomly selected as case group and patients without the metabolic syndrome related diseases were randomly chosen as control group. The serum cholesterol (TC), triglyceride (TG), albumin/globulin (A/G), cereal third transaminase (also known as glutamic acid transaminase, referred to as the GPT, ALT), superoxide dismutase (SOD), lipid peroxide product Malondiaidehyde (MDA) and vitamin E (VE) levels of case group and control group were determined with related instruments. At the same time, the general materials, living habits, work and life pressures and food preferences of the case group and the control group were also investigated. By comparing the information of these two groups and doing statistics analysis with this information, we found the potential factors that may induce diabetes.Results:1. The case group and control group for family history by chi-square test, x2=44.512, P=0.000, difference have statistical significance. The incidence of diabetes with family history is obviously higher than controls. Genetic factors play an important role in the incidence process of2diabetes.2. The case group and control smoking and not smoking by chi-square test, X2=35.259, P=0.000, the difference have no sense of statistics. This is the result with no consideration of smokers who have already quitted. In spite of this, when smoking cessation people are considered in the study, the conclusion that smoking correlates to diabetes is reached.3. The case group and control group with no drinking alcohol by chi-square test,x2=0.006, P=0.939, the difference was not statistically significant. Considering the amount of drinking, drinking time, and whether quitting drinking, there are different correlations between drinking alcohol and diabetes. The correlations grow from small to large with the amount of drinking and show’U’pattern.4. The case group and control group for physical exercise habit by chi-square test, Z=-l.457,P=0.000, difference have statistical significance. The case group having physical exercise is obviously lower than the control group. Appropriate exercise can effectively reduce diabetes. The exercise can not only improve insulin resistance and the risk of diabetes through the ease tension, anxiety and stress.5. The case group and control group work and life pressure by chi-square test, Z=-1.184, P=0.00, difference have statistical significance. The case group work and life pressure is obviously higher than that of the control group, long-term working pressure and other bad mood is one of many issues of the disease diabetes.6. Diabetes patients diet partial to sweet taste of64.6%, the taste is partial to sweet diabetes research object and overall the nonparametric test, Z=5.235, P=0.000, difference have statistical significance. Partial to sweet taste the incidence of diabetes higher than those of the crowd, the high fat diet diabetes research object and overall the chi-square test,X2=21.608, P=0.000, difference have statistical significance. Diabetes in people with high fat diet is higher than the control group.7. Diabetes patients serum total cholesterol level and the research object overall by chi-square test, X2=18.402, P=0.000, differences have statistical significance; Other blood biochemical indicators was not statistically significant. People with diabetes that cholesterol levels higher than those in the control group, but not enough to explain the cholesterol level is high prone to diabetes, other blood biochemical indicators was not statistically significant.8. BMI (body mass index, BMI) BMI=weight (kg)/[height (m)]2, decision criteria: the normal BMI is18.5-23.9, the abnormal situation; The case group and control group BMI by chi-square test, X2=8.877, P=0.003, differences have statistical significance.The case group than in body mass index, high body mass index increase increased the risk of diabetes.9. The groups with and without diabetes diabetes group of serum SOD, MDA, VE test results, the case group serum SOD, VE value significantly is lower than those of the control group, there is significant difference; The case group MDA value is obviously higher than that of the control group, there is significantly statistical differences. Show that SOD, VE reduction and MDA increases are involved in the pathogenesis of diabetes. Conclusion1. There is a correlation between diabetes and their family history.2. There is a correlation between smoking and diabetes.3. There is no con-elation between alcohol drinking and diabetes.4. Appropriate physical exercise can reduce the diabetes and lack of exercise and excessive exercise will increase the tendency of diabetes.5. There is an obvious association between daily life work pressure and diabetes.6. Daily life partial to sweet increases the tendency of diabetes.7. Serum total cholesterol levels and diabetes disease have obvious correlation. And there is no obvious correlation between ALT. BUA. blood ion abnormalities and diabetes. Diabetes are increased obviously with total cholesterol increase for long time.8. Diabetes incidence is obviously higher in obesity and overweight than that of the normal population. Overweight is one of the reasons for the pathogenesis of diabetes.9. The significant reduction of Serum SOD and VE value, in addition to the obvious correlation between the significant increase of MDA and diabetes disease, show that SOD, the reduction of VE and the increase of MDA are involved in the pathogenesis of diabetes.