The goal of this study is to determine whether GIS-derived contextual predictors are significantly associated with mental health outcomes. A secondary goal is to characterize the range of GIS-derived contextual predictors used in the literature and to evaluate their relative predictive utility across domains such as socioeconomic context, health-related factors, and environmental exposures. To address these aims, we will conduct a meta-analysis by identifying all existing studies that report correlations between GIS-derived contextual predictors and mental health outcomes. We will estimate weighted average correlational effect sizes across all outcomes, as well as within outcome categories. In addition, we will examine several potential moderators of these associations.
Project: GIS-derived Contextual Predictors of Mental Health: A Meta-Analysis
DOI
https://doi.org/10.33009/ldbase.1783982085.7834
Project Active From
May 2026
to
present
Project Method(s)
Developmental Design
Most Recent Datasets in Project
Most Recent Documents in Project
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Document: Preregistration GIS-Mental Health Meta
Last update: July 13, 2026
Description: In this preregisteration we outline our plan for conducting this meta-analysis on the association between GIS-derived contextual predictors and mental health outcomes. We provide a description of the ...