美国阿尔茨海默氏症痴呆的流行:一个县级空间机器学习分析
Abolfazl Mollalo1,2, George Grekousis3, Hermes Florez1
1Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
American journal of Alzheimer's disease and other dementias
|April 21, 2025
概括
邻居因素显著影响阿尔茨海默病 (AD) 痴呆风险. 移动住宅,绿色空间访问 (NDVI) 和身体不活动是关键预测因素,因美国各县而异.
科学领域:
- 环境流行病学环境流行病学
- 空间分析 空间分析
- 神经退行性疾病 神经退行性疾病
背景情况:
- 社区特征影响阿尔茨海默病 (AD) 痴呆症的流行率.
- 这些因素的空间变化和相对重要性需要进一步研究.
研究的目的:
- 检查空间异质性和邻居因素与AD痴呆症患病率之间的关联.
- 确定美国不同县最具影响力的风险因素.
主要方法:
- 使用了地理加权随机森林 (GWRF) 方法.
- GWRF模型实现了74.8%的袋外R2,表现优于常规模型.
- 评估的关键因素包括住房类型,NDVI,体力活动,车辆进入和空气污染.
主要成果:
- 在美国19.9%的县里,移动住宅是影响力最大的因素.
- 正常化差异植被指数 (NDVI) (17.4%) 和身体不活动 (12.9%) 也是显著的预测因素.
- 颗粒物和没有车辆的家庭也在特定地区表现出显著的影响.
结论:
- 这些发现强调了针对当地阿尔茨海默氏症 (AD) 痴呆症风险因素的特定县干预措施的必要性.
- 政策应侧重于负担得起的住房,绿色空间的扩张,交通工具的使用,促进体育活动和减少空气污染.
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