ArticleGeoHealth2026
Association Between Observed Climate Change and Cardiovascular Disease in the United States.
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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
- Association Between Observed Climate Change and Cardiovascular Disease in the United States.GeoHealth · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Climate change is affecting nearly all social and environmental determinants of health. However, the extent of resulting cumulative impacts on cardiovascular and other noncommunicable diseases is not known. To address this gap and inform future research, we conducted an ecological evaluation of associations between 14 long-term climate anomaly metrics and prevalence of coronary heart disease (CHD) and stroke in the United States. We calculated long-term anomaly metrics as the difference between their respective 1970-1979 baseline mean and 2013-2022 modern mean values. With fitted random effects regression analysis, we evaluated associations between each anomaly metric, individually and collectively, and census tract-level 2020-2022 mean prevalence of CHD and stroke. In adjusted models with all noncollinear anomaly metrics, we found a net association of all metrics with 0.59% higher CHD prevalence and 0.88% higher stroke prevalence (9.8% and 27.9% relative prevalence, respectively). We found the largest significant effect for location-based annual mean air temperature anomaly, but smaller significant associations with changes in humidity, rainfall, sunlight, wind, and atmospheric pressure anomalies. We observed similar associations between mean summer and daytime heat index anomalies, which were larger than heat waves and temperature variability. While our ecological analysis cannot evaluate causal effects of climate change on cardiovascular disease, our findings align with previous research and may reflect the potential nature and extent of cumulative "slow burn" chronic health impacts of climate change among developed countries. These findings may inform precautionary policy considerations regarding the potentially large and permanent impacts of climate policies on global health.
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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 OpenQuestion graph.