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Abstract
Background: While vegetation type, population density and proximity to greenspaces have been linked to human health, what type and location of greenspace matter most have remained unclear. In this context, there are question marks over investment-style metrics.
Objectives: This paper aims at establishing what vegetation type may matter most in modifying heat-mortality associations, and what the optimal buffer distances of total and specific types of greenspace exposure associated with reduced heat-related mortality risks are.
Methods: We conducted small-area analyses using daily mortality data for 286 Territory Planning Units (TPUs) across Hong Kong and 1 × 1 km gridded air temperature data for the summer months (2005–2018). Using a case time series design, we examined effect modifications of total and specific types of greenspaces, as well as population-weighted exposure at varying buffer distances (200–4000 m). We tested the significance of effect modifications by comparing relative risks (RRs) between the lowest and highest quartiles of each greenspace exposure metric; and explored the strength of effect modifications by calculating the ratio of RRs.
Results: Forests, unlike grasslands, showed significant effect modifications on heat-mortality associations, with RRs rising from 0.98 (95 %CI: 0.92,1.05) to 1.06 (1.03, 1.10) for the highest to lowest quartiles (p-value = 0.037) The optimal distances associated with the most apparent effects were around 1 km for population-weighted exposure, with the ratio of RRs being 1.424 (1.038,1.954) for NDVI, 1.191 (1.004,1.413) for total greenspace, and 1.227 (1.024,1.470) for forests. A marked difference was observed in terms of the paired area-level and optimal distance-based exposure to total greenspace and forests under extreme heat (p-values < 0.05).
Discussion: Our findings suggest that greenspace, particularly nearby forests, may significantly mitigate heat-related mortality risks.
© 2024 The Authors
Objectives: This paper aims at establishing what vegetation type may matter most in modifying heat-mortality associations, and what the optimal buffer distances of total and specific types of greenspace exposure associated with reduced heat-related mortality risks are.
Methods: We conducted small-area analyses using daily mortality data for 286 Territory Planning Units (TPUs) across Hong Kong and 1 × 1 km gridded air temperature data for the summer months (2005–2018). Using a case time series design, we examined effect modifications of total and specific types of greenspaces, as well as population-weighted exposure at varying buffer distances (200–4000 m). We tested the significance of effect modifications by comparing relative risks (RRs) between the lowest and highest quartiles of each greenspace exposure metric; and explored the strength of effect modifications by calculating the ratio of RRs.
Results: Forests, unlike grasslands, showed significant effect modifications on heat-mortality associations, with RRs rising from 0.98 (95 %CI: 0.92,1.05) to 1.06 (1.03, 1.10) for the highest to lowest quartiles (p-value = 0.037) The optimal distances associated with the most apparent effects were around 1 km for population-weighted exposure, with the ratio of RRs being 1.424 (1.038,1.954) for NDVI, 1.191 (1.004,1.413) for total greenspace, and 1.227 (1.024,1.470) for forests. A marked difference was observed in terms of the paired area-level and optimal distance-based exposure to total greenspace and forests under extreme heat (p-values < 0.05).
Discussion: Our findings suggest that greenspace, particularly nearby forests, may significantly mitigate heat-related mortality risks.
© 2024 The Authors
| Original language | English |
|---|---|
| Article number | 108950 |
| Journal | Environment International |
| Volume | 191 |
| Online published | 13 Aug 2024 |
| DOIs | |
| Publication status | Published - Sept 2024 |
Funding
The study was supported by the National Natural Science Foundation of China (grant numbers: 42007421 to J.S., 42001013 to K.H.), Research Development Fund of XJTLU (grant number: RDF-19-02-13, to J.S.), Medical Research Council-UK (grants numbers: MR/R013349/1 and MR/V034162/1, both to A.G.), General Research Project Fund of Hong Kong Research Grants Council (grant number: CityU11207520, to Y.L.), the Fundamental Research Funds for the Central Universities, HUST (grant number: 2021JYCXJJ009, to D.W.), Zhejiang Provincial Natural Science Foundation of China (grant number: Y23D050006, to K.H.), Spanish Ministry of Science and Innovation and State Research Agency through the “Centro de Excelencia Severo Ochoa 2019-2023” Program (grant number: CEX2018-000806-S, to N.M.) and the “Generalitat de Catalunya through the CERCA Program” (to N.M.).
Research Keywords
- Effect modifications
- Extreme heat
- Forest
- Greenspaces
- Mortality risk
Publisher's Copyright Statement
- This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/
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GRF: Urban Greenness and Urban Residents’ Health: A Novel Method to Assess Street Greenery
LU, Y. (Principal Investigator / Project Coordinator), LO, S. M. (Co-Investigator) & Zimring, C. (Co-Investigator)
1/01/21 → 24/06/25
Project: Research