Evidence map›Paper›PMID 40288743›Full record

ArticleEnvironmental research2025

Greenspace proximity in relation to sleep health among a racially and ethnically diverse cohort of US women.

Symielle A Gaston, Marina Sweeney, Shubhangi Patel, Viniece Jennings, Gregory N Bratman, Erline Martinez-Miller, W Braxton Jackson, Rena R Jones, Peter James, Diana Grigsby-Toussaint and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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

12 authors.

Symielle A GastonEpidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA.
Marina SweeneyDLH LLC, Bethesda, MD, USA.
Shubhangi PatelUniversity of North Carolina, Chapel Hill, Chapel Hill, NC, USA.
Viniece JenningsSchool of the Environment, Florida A&M University, Tallahassee, FL, USA.
Gregory N BratmanSchool of Environmental and Forest Sciences, University of Washington, Seattle, WA, USA.
Erline Martinez-MillerDLH LLC, Bethesda, MD, USA; Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.
W Braxton JacksonDLH LLC, Bethesda, MD, USA.
Rena R JonesOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA.
Peter JamesDepartment of Public Health Sciences, University of California, Davis School of Medicine, Davis, CA, USA; Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Diana Grigsby-ToussaintSchool of Public Health, Brown University, Providence, RI, USA.
Dale P SandlerEpidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA.
Chandra L JacksonEpidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA; Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA. Electronic address: Chandra.Jackson@nih.gov.

Funding

Cancer Risk and Environmental ExposuresZIACP010125 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI PURDUE, MARK · 2009 to 2025
$41.3M
Social and Environmental Determinants of Health EquityZIAES103325 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI JACKSON, CHANDRA · 2017 to 2025
$12.7M
Genetic and Environmental Risk Factors for Breast Cancer: The Sister StudyZ01ES044005 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SANDLER, DALE P · 1999 to 2008
$1.3M
Intramural NIH HHS Z01 ES044005Intramural NIH HHS ZIA CP010125Intramural NIH HHS ZIA ES103325
6 · The paper itself

Abstract

Sleep is essential for overall health. Greenspace may contribute to sleep health through, for instance, improving mood, reducing sleep disruptors (e.g., poor air quality), and promoting physical activity. Although greenspace likely differs across populations, few studies have included diverse populations. To investigate greenspace-sleep health associations, overall and by age, race and ethnicity, and socioeconomic status, we used data collected at enrollment (2003-2009) from women in the Sister Study (n = 1612 Hispanic/Latina, n = 4421 non-Hispanic (NH)-Black, and n = 41,657 NH-White). Participants' geocoded home addresses were linked to NASA's Moderate Resolution Imaging Spectroradiometer Normalized Difference Vegetation Index data (250m resolution) to capture greenspace tertiles (further categorized as low/moderate vs. high). Participants reported seven sleep dimensions, which we assessed individually, along with a multidimensional sleep health measure (categories: favorable, moderate, poor). Adjusting for individual- and environmental/neighborhood-level characteristics, we used Poisson regression with robust variance to estimate prevalence ratios and 95 % confidence intervals (PR[CI]). We tested for interaction and estimated age-, race and ethnicity-, and educational attainment category-specific associations. Among participants (mean ± SD age = 55.7 ± 9.0 years), those with low/moderate vs. high greenspace had a lower prevalence of favorable sleep (58 % vs. 66 %). After adjustment, low/moderate vs. high greenspace was associated with a 32 % higher prevalence of moderate (PR = 1.32 [1.27-1.38]) and 12 % higher prevalence of poor (PR = 1.12 [1.07-1.16]) vs. favorable sleep health. Magnitudes of associations were higher among NH-White women vs. minoritized racial-ethnic groups and women with higher vs. lower educational attainment. Higher greenspace was associated with favorable sleep, with stronger associations among groups with more social advantages.

Indexed as

Neighborhood CharacteristicsParks, RecreationalSleepAdultAgedCohort StudiesEthnicityFemaleHumansMiddle AgedUnited StatesGreenspaceHealth status disparitiesNeighborhood environmentSleepSocial classWomen

Identifiers

PMID40288743
PMCPMC12136992

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

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 Socratic graph.