Methodological guidance for selecting buffers in greenspace–health studies

Review (2025)
Author(s)

Mohammad Javad Zare Sakhvidi (Yazd Shahid Sadoughi University of Medical Sciences)

Matthew H E M Browning (Clemson University)

Karl Samuelsson (Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Pompeu Fabra University, University of Gävle, Uppsala University, ISGlobal, Barcelona)

SM Labib (Universiteit Utrecht)

A. Psyllidis (TU Delft - Industrial Design Engineering)

Adeladza Kofi Amegah (University of Cape Coast Ghana)

Thomas Astell-Burt (Westmead Hospital, University of Sydney, Population Wellbeing and Environment Research Lab (PowerLab))

Albert Bach (Universitat Autònoma de Barcelona, CREAF - Centre de Recerca Ecològica i Aplicacions Forestals, Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Barcelona institute of Global Health Barcelona, Pompeu Fabra University)

Michael Jerrett (University of California)

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Research Group
Knowledge and Intelligence Design
DOI related publication
https://doi.org/10.1016/j.lanplh.2025.101370 Final published version
More Info
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Publication Year
2025
Language
English
Research Group
Knowledge and Intelligence Design
Journal title
The Lancet Planetary Health
Issue number
11
Volume number
9
Article number
101370
Downloads counter
109
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Abstract

Greenspace can promote health via diverse pathways. A common approach to assessing greenspace exposure is to estimate vegetation availability within buffers surrounding locations where people reside or spend time. However, no clear framework for informed buffer selection exists, and choices made show considerable heterogeneity, impeding evidence synthesis and causal inference. In this Personal View conducted by an interdisciplinary panel of experts, we aimed to establish a framework for informed buffer selection for epidemiological studies on greenspace. We began by reviewing available approaches for the selection of buffer types, which range from single fixed-location approaches to high-resolution mobility-based activity-space approaches, as well as different buffer sizes. We then summarised the determinants of buffer type and size selection including health outcomes and underlying mechanisms, study population, contextual factors, and data characteristics. Finally, based on these determinants, we developed recommendations for future research. Buffer type and size selection should be hypothesis driven, reflecting presumed greenspace–health mechanisms. Buffer selection should target activity-based approaches where feasible, and multiple buffer sizes should be tested. Overall, the assessment of greenspace exposure should shift from ad-hoc approaches to personalised, multiscale, and context-specific methods. We call for standardising and reporting the rationale for buffer selection to minimise bias and enhance comparability and evidence synthesis across studies.