| ObjectiveThis research aimed to explore health status of the inhabitants from the National Disease Surveillance Points System(DSPs)in Jilin Province,and to make a preliminary understanding of the prevalence of Diabetes mellitus(DM),and to understand its situation of awareness, treatment and control. It also analyzed the related factors of DM. and the influence factors of the Awareness rate, Treatment rate and Control rate. and then to understand and grasp our province diabetes prevalence rate and related factors associated with trends, to provide basic and scientific data for developing strategies of diabetes prevention and control.MethodsChinese Non-communicable and Chronic Diseases Surveillance was carried out in 162 surveillance points of DSPs in 2010. Changchun's Nanguan District, Dehui City, Jilin's Fengman District, Longjing city and Ji'an city were the national disease surveillance points and participated in the survey in Jilin Province. Multi-stage cluster sampling was adopted to select the sample. By proportional probability sampling (PPS) method, 4 townships/streets were sampled from every surveillance points, also using PPS, 3 villages/communities were sampled by simple random sampling form every villages/communities. Form every selected household, 1 subject was selected by KISH method. Totally 3000 residents were brought into this survey in our province.The survey included three parts: questionnaire interview, physical measurement and lab examination. Collecting survey object of tobacco use, alcohol consumption, dietary, physical activity. And weight, blood pressure, blood sugar and other major healthy problems. Contents of measurement included height, weight, waist circumference, blood pressure, and detection of fasting and 2 hours after OGTT blood sugar, glycohemoglobin and other biochemical indexes.Results 2993 valid samples were obtained and finally, out of these samples, there were 1425 male and 1568 female.1197 samples from urban areas and 1796 sample from rural areas. The diabetes prevalence rate among residents from DSPs in Jilin province is 16.17%, male's diabetes prevalence rate was 17.26%, and female was 15.18%. Urban areas diabetes prevalence rate was 18.05%, and rural areas was 14.92%.Awareness rate of diabetes was 48.76%, female awareness rate of diabetes was 51.26%, and male was 46.34%. Urban areas awareness rate of diabetes was 50.93%, and rural areas was 47.01%. In all diabetic patients, 50.93% patients were related to treatment with no obvious gender and area difference. Rate of control diabetic patients was only 19.63% and also with no obvious gender and area difference. The proportion of prediabetes was 4.64%, the proportion of impaired fasting glucose (IFG) was 2.47%, and the proportion of impaired glucose tolerance (IGT) was 1.10%.From the survey result: age, family history, marital state, area, BMI, occupation, meat intake, and prediabetes were all relevant factors of diabetes. The multivariate analysis showed that age, gender, family history and BMI had strong impact on diabetes. As the diabetes reserve,prediabetes should been made us pay more attention on them. Education background, area, BMI, occupation, meat intake was major relevant factors of prediabetes. Especially, people engaged in sedentary occupation in urban areas should been included in the focus of the intervention population.Conclusions1. The diabetes prevalence rate among residents from DSPs in Jilin Province has reached a high level, and it has become a public health problem could not been ignored.2. The main risk factors for diabetes among residents from DSPs were increasing age, with family history, male, overweight /fat in Jilin Province. 3. Increasing age, overweight /fat, meat over-intake, urban areas, sedentary occupation and retired people were the risk factors of prediabetes, the prevalence rate of living in the rural is less than people in the urban.4. Awareness rate and treatment rate could be increased by increasing age and family history;Sedentary occupations were the risk factor of them. Diabetic's patients with higher educational background always had lower control rate. |
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