Evidence map›Paper›PMID 39344601›Full record

ArticleJournal of the American Heart Association2024

Longitudinal Impacts of High Versus Low Greenness on Cardiovascular Disease Conditions.

Scott C Brown, William W Aitken, Joanna Lombard, Abraham Parrish, Julius R Dewald, Maria I Nardi, Alejandro M A Mantero, Sarah W Metalonis, José Szapocznik

Abstract readComparative Study
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Scott C BrownDepartment of Public Health Sciences University of Miami Miller School of Medicine Miami FL.
William W AitkenDepartment of Medicine University of Miami Miller School of Medicine Miami FL.ORCID 0000-0002-9377-881X
Joanna LombardDepartment of Public Health Sciences University of Miami Miller School of Medicine Miami FL.ORCID 0000-0002-4925-9633
Abraham ParrishUniversity of Miami Libraries Coral Gables FL.ORCID 0000-0001-8912-5720
Julius R DewaldDepartment of Public Health Sciences University of Miami Miller School of Medicine Miami FL.ORCID 0000-0002-9525-3830
Maria I NardiMiami-Dade County Department of Parks Recreation and Open Spaces (MDPROS) Miami FL.
Alejandro M A ManteroBiostatistics Collaboration & Consulting Core University of Miami Miller School of Medicine Miami FL.ORCID 0000-0001-8462-9487
Sarah W MetalonisBiostatistics Collaboration & Consulting Core University of Miami Miller School of Medicine Miami FL.
José SzapocznikDepartment of Public Health Sciences University of Miami Miller School of Medicine Miami FL.ORCID 0000-0002-3832-1753

Funding

Miami Clinical and Translational Science InstituteUL1TR000460 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SACCO, RALPH L. · 2012 to 2016
$16.9M
Polygenic Risk Moderates the Impact of Greenness on Cardiovascular Health among HCHS/SOL Hispanic/LatinosR01HL148880 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BROWN, SCOTT CHARLES, SZAPOCZNIK, JOSE · 2020 to 2022
$2.3M
Greenness, Cognitive Performance and Vascular Outcomes in the NOMAS StudyRF1AG074306 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BROWN, SCOTT CHARLES, RUNDEK, TATJANA · 2021 to 2021
$2.3M
NCATS NIH HHS UL1 TR000460NHLBI NIH HHS R01 HL148880NIA NIH HHS RF1 AG074306
6 · The paper itself

Abstract

backgroundGreenness-or vegetative presence-has been identified as a factor in chronic disease. The present study examines the longitudinal relationship between objective measures of greenness at the residential block level and incidence of 6 cardiovascular disease conditions. METHODS AND

resultsAnalyses examined the impact of consistently high versus consistently low "precision" greenness at the Census block level on the 5-year incidence of cardiovascular disease conditions, including acute myocardial infarction, atrial fibrillation, heart failure, ischemic heart disease, stroke/transient ischemic attack, and hypertension, among 229 034 US Medicare beneficiaries in Miami-Dade County, Florida, USA. Zero-inflated Poisson regression was used to model the odds of developing any new cardiovascular disease and number of new cardiovascular disease conditions based on greenness tertiles computed across 2011 and 2016 Normalized Difference Vegetation Index values, adjusting for individual age, sex, race, ethnicity, baseline cardiovascular disease conditions, neighborhood income, and walkability in 2011 and 2016. When compared with individuals consistently in the low greenness tertile in 2011 and 2016, those consistently in the high greenness tertile in 2011 and 2016 had a 9% lower odds of having any new cardiovascular conditions (odds ratio [OR], 0.91 [95% CI, 0.84-0.99];

conclusionsOver a 5-year period, consistently high greenness, when compared with consistently low greenness, was associated with lower odds of any new cardiovascular disease conditions. Identifying the role of greenness exposure in such a small geographic area, the Census block on which the older adult resides, allows for more precise, strategic decisions on where additional trees can be added-by selecting at-risk blocks rather than entire neighborhoods for tree-planting interventions.

Indexed as

Cardiovascular DiseasesAgedAged, 80 and overFemaleFloridaHumansIncidenceLongitudinal StudiesMaleMedicareResidence CharacteristicsRisk AssessmentRisk FactorsUnited Statesenvironmentgreen spaceheart diseaseneighborhood greennessprevention

Identifiers

PMID39344601
PMCPMC11681474

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.