| Title: | Assessing improvement of non-communicable diseases based on lifestyle intervention, environmental factors and genetic factors |
| Lead Institution: | Guangxi Zhuang Autonomous Region People's Hospital |
| Principal investigator: |
Application 283055
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About
Non-communicable diseases such as cardiovascular disease, cancer, chronic respiratory disease, and diabetes have become a huge burden on public health. Various risk factors, including lack of physical activity, an unhealthy diet, smoking, depression, hearing and vision impairments, and environmental pollution, have been associated with non-communicable diseases. Adjustable lifestyle factors, including diet, physical activity, alcohol consumption, smoking habits, and sleep patterns, play a crucial role in lowering the incidence of these diseases. Although previous studies reported that some healthy lifestyles against these non-communicable diseases. Nevertheless, the evidence derived from these studies cannot establish causality. While randomized trials are capable of drawing causal inferences, they may encounter feasibility challenges. Consequently, elucidating key risk factors and developing prediction models based on these factors holds significant potential for identifying high-risk populations, thereby enhancing their overall healthy life expectancy and minimizing unnecessary medical expenses. In this project, we aim to investigate the potential for mitigating the risk of non-communicable diseases in the population through lifestyle modifications (such as dietary adjustments, increased physical activity, smoking cessation, and alcohol withdrawal), and enhancements in vascular risk factors (such as management blood pressure, cholesterol levels, and glucose) and environmental factors (such as heavy metal pollution), and genetics (SNPs, etc.). Furthermore, we will evaluate those factors to enhance mental well-being. Given that non-communicable diseases arise from a combination of genetic, behavioral, and environmental risk factors, Consequently, as part of this project, our strategic approach will be rooted in data-driven methodologies. Assessing and improvement of that incorporate multiple such factors theoretically offers improved predictive performance. The objective of this study is to employ appropriate statistical methods in order to uncover potential associations between the factors listed above and the occurrence of non-communicable diseases. By rigorously analyzing data, we aim to elucidate meaningful insights that can inform preventive strategies and enhance our understanding of disease etiology by leveraging multidimensional data from the UK Biobank.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 16346 | Association of estimated glucose disposal rate with risk of future metabolic dysfunction-associated steatotic liver disease and other chronic liver diseases: a prospective cohort study | Yan Li (+2) | 2025 | Frontiers in Medicine |
Enabling scientific discoveries that improve human health