Evidence map›Paper›PMID 34019899›Full record

ArticleEnvironmental research2021

Types and spatial contexts of neighborhood greenery matter in associations with weight status in women across 28 U.S. communities.

Wei-Lun Tsai, Maliha S Nash, Daniel J Rosenbaum, Steven E Prince, Aimee A D'Aloisio, Anne C Neale, Dale P Sandler, Timothy J Buckley, Laura E Jackson

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
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, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

9 authors at 3 institutions in 2 countries.

Wei-Lun TsaiOffice of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA. Electronic address: tsai.wei-lun@epa.gov.
Maliha S NashOffice of Research and Development, U.S. Environmental Protection Agency, Newport, OR, USA.
Daniel J RosenbaumOak Ridge Institute for Science and Education Research Fellow, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.
Steven E PrinceOffice of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.
Aimee A D'AloisioSocial & Scientific Systems, Durham, NC, USA.
Anne C NealeOffice of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.
Dale P SandlerNational Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
Timothy J BuckleyOffice of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.
Laura E JacksonOffice of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.
Environmental Protection Agency · USSocial and Scientific Systems (United States) · USTriangle · US

Funding

Environmental and Genetic Risk Factors For Breast Cancer: The Sister StudyZIAES044005 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SANDLER, DALE P · 2009 to 2025
$22.7M
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 ES044005
6 · The paper itself

Abstract

Excess body weight is a risk factor for many chronic diseases. Studies have identified neighborhood greenery as supportive of healthy weight. However, few have considered plausible effect pathways for ecosystem services (e.g., heat mitigation, landscape aesthetics, and venues for physical activities) or potential variations by climate. This study examined associations between weight status and neighborhood greenery that capture ecosystem services most relevant to weight status across 28 U.S. communities. Weight status was defined by body mass index (BMI) reported for 6591 women from the U.S. Sister Study cohort. Measures of greenery within street and circular areas at 500 m and 2000 m buffer distances from homes were derived for each participant using 1 m land cover data. Street area was defined as a 25 m-wide zone on both sides of street centerlines multiplied by the buffer distances, and circular area was the area of the circle centered on a home within each of the buffer distances. Measures of street greenery characterized the pedestrian environment to capture physically and visually accessible greenery for shade and aesthetics. Circular greenery was generated for comparison. Greenery types of tree and herbaceous cover were quantified separately, and a combined measure of tree and herbaceous cover (i.e., aggregate greenery) was also included. Mixed models accounting for the clustering at the community level were applied to evaluate the associations between neighborhood greenery and the odds of being overweight or obese (BMI > 25) with adjustment for covariates selected using gradient boosted regression trees. Analyses were stratified by climate zone (arid, continental, and temperate). Tree cover was consistently associated with decreased odds of being overweight or obese. For example, the adjusted odds ratio [AOR] was 0.92, 95% Confidence Interval [CI]: 0.88-0.96, given a 10% increase in street tree cover at the 2000 m buffer across the 28 U.S. communities. These associations held across climate zones, with the lowest AOR in the arid climate (AOR: 0.74, 95% CI: 0.54-1.01). In contrast, associations with herbaceous cover varied by climate zone. For the arid climate, a 10% increase in street herbaceous cover at the 2000 m buffer was associated with lower odds of being overweight or obese (AOR: 0.75, 95% CI: 0.55-1.03), whereas the association was reversed for the temperate climate, the odds increased (AOR: 1.19, 95% CI: 1.05-1.35). Associations between greenery and overweight/obesity varied by type and spatial context of greenery, and climate. Our findings add to a growing body of evidence that greenery design in urban planning can support public health. These findings also justify further defining the mechanism that underlies the observed associations.

Indexed as

EcosystemResidence CharacteristicsBody Mass IndexCity PlanningExerciseFemaleHumansOverweightClimateEco-healthEnviroAtlasSister studyUrban greenery

Identifiers

PMID34019899
PMCPMC8457404
OpenAlexW3160429317

What OpenQuestion 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 OpenQuestion graph.