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This study aims to control risk factors of non communicable diseases by life style and care intervention based on internet technology, looking forward to improve cardiovascular and cerebrovascular complications, diabetes and all-cause death.
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Cardiovascular and cerebrovascular diseases, diabetes, chronic obstructive pulmonary disease and malignant tumors are the main chronic diseases, which have been the most important cause of human death, consuming most health resources. In China, patients with cardiovascular and cerebrovascular diseases account for more than 40% of all causes of death. After half a century of research, we have a thorough understanding of risk factors of cardiovascular disease, including genetics, aging, ethnicity, physical activity decreases, unbalanced nutrition and calorie intake, smoking, obesity, hypertension, dyslipidemia, and glucose abnormalities, etc. Many factors can be corrected through health education, indicating that the occurrence of chronic diseases can be prevented through lifestyle changes and the control of risk factors.
This project collects risk factors of cardiovascular disease and establishes a real and reliable health database by conducting a cross-sectional survey of chronic diseases among residents of Tian Tong Yuan District (there are hundreds of thousands of people).On this basis, community health management network was established with internet technology. Meanwhile, prospective, open, community randomized and controlled lifestyle intervention studies were carried out. Intervention was conducted on risk factors of cardiovascular and cerebrovascular diseases, such as smoking, obesity, hypertension, lipid metabolism disorder, and hyperglycemia. For patients with chronic diseases, lifestyle intervention and health education should be carried out to improve the diagnosis rate and control rate. The project focuses on the impact of lifestyle interventions and health education on risk factor control, cardiovascular and cerebrovascular complications, diabetes and all-cause death.
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60,000 participants in 2 patient groups
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jianzhong xiao, PHD
Data sourced from clinicaltrials.gov
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