Estimating multiple greenspace exposure types and their associations with neighbourhood premature mortality: A socioecological study

Greenspace exposures are often measured using single exposure metrics, which can lead to conflicting results. Existing methodologies limited in their ability estimate greenspace comprehensively. We demonstrate new methods for estimating and combined representing multiple types that combine impacts at various scales. also investigate the association between those premature mortality. used geospatial data spatial analytics model map availability, accessibility eye-level visibility metrics. These were harmonised standardised create a novel composite index (CGEI). Using these we investigated associations years of potential life lost (YPLL) 1673 neighbourhoods applying autoregressive models. variations conjunction with levels socioeconomic deprivation based on deprivations. Our CGEI metric provides opportunity spatially explicit total exposure. found 1-unit increase neighbourhood was associated approximately 10-year reduction YPLL. Meaning 0.1 increment or 10% is an one year lower mortality value. A availability YPLL 9.8 years, whereas greenness related 6.14 years. no significant results further identified divergent trends relations (e.g. vs. accessibility) least most). metrics provide approach assessment types, be linked broader exposome framework. showed higher • inadequate pathways. developed accessibility, visibility. generated combining three individual inverse The positive impact more pronounced deprived neighbourhoods.