绿色空间和代谢综合征的深度学习分析:街景和遥感方法
Jiahui Tong1, Xiaoqing Lian2, Jingyan Yan3
1Department of Global Health School of Public Health Wuhan University, Wuhan, China; Global Health Institute School of Public Health Wuhan University, Wuhan, China.
Environmental research
|March 9, 2025
概括
通过绿色可见度指数 (GVI) 和正常化差异植被指数 (NDVI) 测量城市绿色空间的暴露增加,与代谢综合征 (MetS) 的几率降低有关. 绿化举措可以防止成千上万的MetS病例.
科学领域:
- 环境健康 环境健康
- 流行病学 流行病学
- 城市规划 城市规划
背景情况:
- 代谢综合征 (MetS) 的患病率在全球范围内正在上升,但对绿色空间等环境因素的证据有限.
- 了解城市绿化对大气污染的影响对于公共卫生战略至关重要.
研究的目的:
- 调查绿色空间暴露 (GVI和NDVI) 与MetS流行率之间的关联.
- 量化通过增加绿色空间来减少MTS负担的潜力.
主要方法:
- 利用街景图像进行绿色可见度指数 (GVI) 和卫星数据进行规范差异植被指数 (NDVI).
- 采用了通用的线性混合效应模型和受限制的立方线来分析缓冲区内的关联.
- 应用了反事实因果推理框架来估计MetS病例减少.
主要成果:
- 在150米以内,GVI和NDVI的0.1个单位的增加与MetS几率分别下降13%和31%有关.
- 观察到GVI (>0.209) 和NDVI (>0.299) 与MetS的非线性关系.
- 达到NDVI绿色值可以防止估计的74,183个MetS病例 (总数的8.16%).
结论:
- 通过GVI和NDVI量化的城市绿地显示出与代谢综合征的保护性关联.
- 有针对性的城市绿化政策可以大大有助于降低大都会气候系统的负担.
- 研究结果支持将绿化战略纳入用于代谢健康的公共卫生倡议.
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