Project/Area Number |
21K17894
|
Research Category |
Grant-in-Aid for Early-Career Scientists
|
Allocation Type | Multi-year Fund |
Review Section |
Basic Section 63040:Environmental impact assessment-related
|
Research Institution | University of Tsukuba |
Principal Investigator |
|
Project Period (FY) |
2021-04-01 – 2025-03-31
|
Project Status |
Granted (Fiscal Year 2023)
|
Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2023: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2022: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2021: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
|
Keywords | air pollution / particulate matter / health risk / mortality / time series study |
Outline of Research at the Start |
As the association varies across study locations, regional evidence is crucial to obtain accurate information and thereby better protect the population. This study focuses on such aspects of Japan using nationwide data covering all 47 prefectures with advanced flexible modeling strategies.
|
Outline of Annual Research Achievements |
n FY2023, we conducted an extensive regional mortality risk assessment, building on the foundational findings from FY2022. This assessment focused on understanding the impact of PM2.5 exposure on mortality risk across various prefectures. By leveraging local estimates, we were able to create maps that visually explore and highlight the observed variations in mortality risk associated with PM2.5. These maps served to illustrate the spatial dynamics and magnitude of the risk, providing a representation of how different regions are affected. To further enhance our understanding and identify specific age groups that are more susceptible to PM2.5 exposure, we undertook a population-based, age-stratified investigation. By stratifying the data by age, we were able to discern patterns and trends that may not have been apparent in a more generalized analysis. By identifying high-risk areas and vulnerable populations, resources can be better allocated, and targeted interventions can be developed to mitigate the adverse health effects of PM2.5 exposure.
|
Current Status of Research Progress |
Current Status of Research Progress
3: Progress in research has been slightly delayed.
Reason
The research project experienced a slight delay in FY2023 due to maternity and childcare leaves. Consequently, an extension of one year was approved, and the completion of the research is now anticipated in FY2024.
|
Strategy for Future Research Activity |
In FY2024, we plan to conduct univariate meta-regression analyses on various variables that serve as meta-predictors, to identify potential effect modifiers according to the proposed research plan. Finally, we aim to compile the results, finalize the draft, and submit it to an international peer-reviewed journal.
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