Evidence map›Paper›PMID 32315826›Full record

ArticleEnvironmental research2020

Greater tree cover near residence is associated with reduced allostatic load in residents of central North Carolina.

Andrey I Egorov, Shannon M Griffin, Reagan R Converse, Jennifer N Styles, Elizabeth Klein, James Scott, Elizabeth A Sams, Edward E Hudgens, Timothy J Wade

Abstract read
In one paragraph

Article in Environmental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Green Space Quality and Health: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  4. Article
  5. Article
  6. Article
  7. Stress, Well-Being, and Reproduction in Wildlife.Advances in experimental medicine and biology · 2026
    Review
  8. Review
  9. Review
  10. Associations between neighborhood greenery and birth outcomes in a North Carolina cohort.Journal of exposure science & environmental epidemiology · 2025
    Article
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  12. Review
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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.

Andrey I EgorovOffice of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA. Electronic address: egorov.andrey@epa.gov.
Shannon M GriffinOffice of Research and Development, United States Environmental Protection Agency, Cincinnati, OH, USA.
Reagan R ConverseOffice of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA.
Jennifer N StylesOffice of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA; Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Elizabeth KleinORAU Student Services Contractor, United States Environmental Protection Agency, Research Triangle Park, NC, USA.
James ScottOffice of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA.
Elizabeth A SamsOffice of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA.
Edward E HudgensOffice of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA.
Timothy J WadeOffice of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

backgroundAmong urban residents, increased contacts with nature are associated with reduced morbidity and mortality. The concept of allostatic load, a biomarker-based composite measure of physiological dysregulation, can be applied to study subclinical benefits of exposure, and to elucidate pathways leading to improved health.

objectiveThis research explored associations between residential vegetated land cover and an allostatic load index calculated using the statistical distance measure known as Mahalanobis distance.

methodsThis cross-sectional population-based study involved 186 adult residents of the Durham-Chapel Hill, North Carolina metropolitan area. Measures of tree and grass cover within 500 m of residence were derived from the U.S. Environmental Protection Agency's EnviroAtlas land cover database. Fifteen biomarkers of immune, neuroendocrine, and metabolic functions were analyzed in serum samples. Regression analysis was conducted using generalized additive models with thin-plate spline functions of geographic coordinates, adjusting for modelled traffic air pollution from local sources and sociodemographic covariates.

resultsThe second and third tertiles of distance-weighted tree cover were associated with 14% (95% Confidence Limits 20%; 8%) and 15% (21%; 8%) reduction in adjusted median allostatic load, respectively, compared to the first tertile. The same tertiles of tree cover were also associated with 0.16 (0.03; 0.76) and 0.04 (0.01; 0.35) adjusted odds ratios of having allostatic load index above the 90th percentile of the sample distribution. Grass cover was inversely correlated with tree cover and was not associated with reduced allostatic load.

conclusionsSubclinical beneficial health effects of green spaces demonstrated in this study are consistent with reduced susceptibility to acute environmental and social stressors, and reduced risks of morbidity and mortality.

Indexed as

Air PollutionAllostasisCross-Sectional StudiesNorth CarolinaTreesAllostatic loadHealth effect biomarkersMahalanobis distanceVegetated land cover

Identifiers

PMID32315826
PMCPMC7584403

What OpenQuestion holds

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Registered trials

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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.