Development of a Landscape Pattern Health Index and Association with Stroke Mortality Using GWQS Regression - Ningbo City, Zhejiang Province, China, 2001-2023

利用GWQS回归分析构建景观格局健康指数及其与中风死亡率的关联——以中国浙江省宁波市为例,2001-2023年

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Abstract

WHAT IS ALREADY KNOWN ABOUT THIS TOPIC? Urban landscape patterns influence population health and are traditionally measured using landscape indices. However, current indices suffer from a single-dimensional focus, multicollinearity, and limited health relevance. WHAT IS ADDED BY THIS REPORT? Using a two-stage Generalized Weighted Quantile Sum (GWQS) regression, we developed a Landscape Pattern Health Index (LPHI), integrating composition/configuration metrics. This index revealed seasonal protective/hazard effects and represents a holistic tool for assessing urban landscape health impacts. WHAT ARE THE IMPLICATIONS FOR PUBLIC HEALTH PRACTICE? The LPHI identifies high-risk areas and seasonal priorities, thereby guiding targeted interventions to mitigate health risks through landscape optimization.

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