| 研究課題/領域番号 |
21K17894
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| 研究種目 |
若手研究
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| 配分区分 | 基金 |
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| 審査区分 |
小区分63040:環境影響評価関連
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| 研究機関 | 筑波大学 |
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研究代表者 |
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| 研究期間 (年度) |
2021-04-01 – 2025-03-31
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| 研究課題ステータス |
交付 (2023年度)
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| 配分額 *注記 |
4,680千円 (直接経費: 3,600千円、間接経費: 1,080千円)
2023年度: 1,560千円 (直接経費: 1,200千円、間接経費: 360千円)
2022年度: 1,040千円 (直接経費: 800千円、間接経費: 240千円)
2021年度: 2,080千円 (直接経費: 1,600千円、間接経費: 480千円)
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| キーワード | air pollution / particulate matter / health risk / mortality / time series study |
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| 研究開始時の研究の概要 |
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.
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| 研究実績の概要 |
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.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
3: やや遅れている
理由
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.
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| 今後の研究の推進方策 |
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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