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测量热暴露与健康结果之间的关联的方法方法:全面的全球范围审查

Peter M Graffy¹, Ashwin Sunderraj¹, Maxime A Visa²

¹Department of Preventive Medicine Northwestern University Chicago IL USA.

|September 27, 2024

概括

这项研究审查了评估热暴露对健康影响的方法. 结果揭示了各种方法,并突出了数据差距,为未来的热量健康影响研究提供了指南.

科学领域:

环境健康环境健康
流行病学流行病学
生物统计学生物统计学

背景情况:

气候变化正在增加全球热浪的频率和强度.
了解暴露于热量的健康影响对于公共卫生规划至关重要.
现有研究中的方法异质性对综合发现提出了挑战.

研究的目的:

系统地审查和综合用于评估暴露于热量的健康影响的研究中的方法.
确定用于热健康研究的共同分析方法和数据源.
突出不同国家和研究设计方法的差异.

主要方法:

在Embase,MEDLINE,Web of Science和Scopus数据库中进行了全面的文献搜索.
根据气候相关的热量暴露和相关的发病/死亡结果,对记录进行了资格选.
数据抽象专注于研究方法,数据源和分析技术.

主要成果:

分析了来自43个国家的237篇文章,大多数研究来自中国,美国和澳大利亚.
在气候数据源 (141个独特),极端热门值 (没有标准化) 和健康结果数据 (200个独特) 中观察到显著的异质性.
分布滞后非线性模型 (DLNM) 最常见 (48.1%),特别是在时间序列和生态研究中,而条件后勤回归在病例控制和病例交叉设计中普遍存在.

结论:

该审查强调了全球热影响研究的实质性方法多样性.
确定的障碍包括某些国家和健康结果的代表性不足,以及有限的数据可访问性.
这一综合对旨在标准化和推进未来热量对健康影响评估的研究人员来说是一个有价值的资源.

关键词:

气候变化气候变化气候变化极端的热量极端的热量方法论方法论方法论在统计模型中使用统计模型.

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