多重环境因素和多维衰老指标的异质关联
Fan Pu1, Weiran Chen1, Chenxi Li1
1Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China.
像空气污染这样的环境因素显著影响衰老指标,包括大脑年龄和表型年龄. 不同的污染物不一致地影响衰老,突出了对健康的复杂环境影响.
科学领域:
- 环境流行病学环境流行病学
- 老年学是一门学科.
- 生物统计学 生物统计学
背景情况:
- 环境暴露和人类衰老之间的相互作用是复杂的,并未完全理解.
- 多维衰老指标提供了对衰老过程的全面视图.
- 同时调查多个环境因素对于准确的健康评估至关重要.
研究的目的:
- 调查多重环境因素与多维衰老指标之间的关联.
- 为了确定个别环境因素对衰老的相对贡献.
- 探索与衰老相关的环境暴露的联合影响和模式.
主要方法:
- 利用英国生物库数据与多维衰老指标 (表型年龄,大脑年龄,大脑体积).
- 使用加权定量总数回归来评估个体环境因素贡献.
- 应用自组织地图 (SOMs) 来分析联合效应并确定暴露子群.
主要成果:
- 空气污染对大多数老龄化指标做出了重大贡献.
- 颗粒物是整体衰老变异的主要原因.
- 噪音和绿色空间显著影响了大脑体积,证明了异质效应.
- SOM分析揭示了五个不同的暴露子群体,其中空气污染群体表现最差的老龄化状况.
结论:
- 环境因素与各种衰老指标呈现异质的关联.
- 空气污染是影响加速衰老的一个关键因素.
- 这项研究为分析复杂的环境暴露及其对衰老的影响提供了一个框架.
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