Explore the associations between different exposures and health outcomes.
Approved Research ID: 43795
Approval date: January 8th 2019
AS non-communicable conditions accounts for nearly two-thirds of deaths worldwide, non-infectious chronic diseases (NCDs) have became the predominant challenge to global health. NCDs account for most deaths globally, and are the main drivers of morbidity, disability, and health-care costs.Much of the chronic disease burden results from various key risk factors that include high blood pressure, High blood glucose, smoking, high BMI, physical inactivity, alcohol use, diets low in fruits and vegetables and high in sodium and saturated fats, and some abnormal biomarkers. It's vital to develop better strategies to reduce the morbidity and mortality of chronic diseases by assessing the associations between different factors and health outcomes. We aim to develop efficient strategies based on the findings for the prevention, diagnosis, and treatment of noninfectious chronic diseases by evaluating the associations between different exposures and health outcomes. Our project is expected to last 36 months, and the findings of our research will provide evidence for the control and prevention of chronic diseases, and as a result, may have great public health implications.
Current scope: Research question: to identify the associations between different exposures (including socio-demographic factors, functional status, anthropometric variables, life-style, biomarkers, and genomics) and health outcomes (e.g., mortality, cause-specific mortality, hypertension, diabetes, cardiovascular diseases, and cognitive function). Aim: develop efficient strategies based on the findings for the prevention, diagnosis, and treatment of non-communicable diseases.
Add new scope: to identify the associations between structural and functional imaging (e.g., dMRI) and health outcomes (e.g., mortality, cause-specific mortality, hypertension, diabetes, cardiovascular diseases, and cognitive function)