| Title: | Effects of exposure to air pollutants and noise pollution on the health status of middle-aged and older adults |
| Lead Institution: | Anhui Medical University |
| Principal investigator: |
Application 211452
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About
The aim of this project is to investigate the impact of environmental pollutants on the physiological and psychological health of middle-aged and older adults, focusing on air pollution and noise pollution as potential risk factors for cardiovascular diseases and other health conditions in this demographic. We intend to examine the effects of common pollutants, including air pollution, chemical pollutants, and noise pollution, on the health status of middle-aged and elderly individuals to understand the critical role of environmental factors in maintaining their well-being. Through this study, we seek to analyze the harmful effects of noise pollution, air pollution, and prevalent chemical pollutants on the bodies of middle-aged and elderly individuals. Our research will involve comparing the prevalence and longevity of various common diseases among individuals with higher exposure to noise (air) pollution compared to a control group. Additionally, we aim to utilize machine learning techniques to explore the potential synergistic effects of different pollutants on life expectancy. To ensure the robustness of our findings, comprehensive data from the entire cohort will be utilized, allowing for a rigorous analysis of the associations between environmental pollutants and health outcomes in middle-aged and older adults. By elucidating the health impacts of environmental pollutants on this demographic, our findings will provide valuable insights for policymakers and public health officials to develop strategies aimed at mitigating pollution levels and safeguarding the health of citizens, particularly among vulnerable populations such as the elderly.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 16824 | Associations Between Dietary Habits and Accelerated Aging and the Establishment of an Accelerated Aging Interpretable Risk Prediction Model via Shapley Additive Explanations: Cross-Sectional Study From Two Representative Populations | Zhengyang Wu (+8) | 2025 | JMIR Aging |
Enabling scientific discoveries that improve human health