ArticleGeoHealth2026
Increasing Urban Tree Canopy Associated With Reduced Mortality: A Longitudinal Analysis of Chicago Neighborhoods.
Article in GeoHealth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Urban tree canopy is known to mitigate ambient heat and improve physical and mental health but the longitudinal interactions and impacts of tree canopy, temperature, and mortality are not well understood. Using high resolution tree canopy estimates, temperature, mortality, and demographic data from 2011 to 2021, we implemented negative binomial generalized estimating equations to model all-cause and disease-specific mortality based on tree canopy cover, year-to-year changes in tree canopy cover, and maximum temperature, adjusting for area-level demographics in Chicago, IL. We used K-means clustering to identify patterns of canopy, temperature, and mortality disparities across Chicago community areas. There were 220,711 decedents during the study period (115,974 male, 104,734 female; mean age at death: 69.4 ± 19.9 years). Existing canopy coverage was not statistically significantly associated with mortality (incidence rate ratio [IRR] = 0.995, 95% confidence interval [CI] = 0.984-1.007). However, each year-to-year percent increase in canopy was associated with around a 10% reduction in mortality (IRR = 0.902, [0.871-0.935]) with significant associations for cause-specific cardiovascular (IRR = 0.908, [0.869-0.948]), mental health (IRR = 0.836, [0.784-0.892]), musculoskeletal (IRR = 0.907, [0.832-0.989]), and respiratory (IRR = 0.887, [0.833-0.945]) diseases. Cluster analysis identified that neighborhoods on Chicago's South and West sides were characterized by high temperatures, greater absolute canopy loss despite elevated baseline canopy levels, and increased mortality. Among the hottest neighborhoods, canopy-temperature interaction models demonstrated that areas experiencing larger year-to-year canopy losses had higher yearly mortality. Protecting tree canopy cover from losses over time, particularly in vulnerable areas with higher temperatures, may present a key opportunity to reduce mortality and mitigate impacts of climate change.
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.