Evidence map›Paper›PMID 33450813›Full record

ArticleInternational journal of environmental research and public health2021

Association of Greenness with Blood Pressure among Individuals with Type 2 Diabetes across Rural to Urban Community Types in Pennsylvania, USA.

Melissa N Poulsen, Brian S Schwartz, Cara Nordberg, Joseph DeWalle, Jonathan Pollak, Giuseppina Imperatore, Carla I Mercado, Karen R Siegel, Annemarie G Hirsch

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Association between residential greenness and preeclampsia in Japan.Environmental epidemiology (Philadelphia, Pa.) · 2026
    Article
  3. Article
  4. Article
  5. The neighbourhood environment and profiles of the metabolic syndrome.Environmental health : a global access science source · 2022
    Article
  6. Article
  7. 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 1 country.

Melissa N PoulsenDepartment of Population Health Sciences, Geisinger, Danville, PA 17822, USA.ORCID 0000-0002-5915-371X
Brian S SchwartzDepartment of Population Health Sciences, Geisinger, Danville, PA 17822, USA.
Cara NordbergDepartment of Population Health Sciences, Geisinger, Danville, PA 17822, USA.ORCID 0000-0003-2317-5332
Joseph DeWalleDepartment of Population Health Sciences, Geisinger, Danville, PA 17822, USA.
Jonathan PollakDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Giuseppina ImperatoreDivision of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.
Carla I MercadoDivision of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.
Karen R SiegelDivision of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.
Annemarie G HirschDepartment of Population Health Sciences, Geisinger, Danville, PA 17822, USA.
Geisinger Health System · USCenters for Disease Control and Prevention · USJohns Hopkins University · US

Funding

Component A: A multi-level study of community context and type 2 diabetes and coronary heart disease using electronic health record and new primary data across nested geographies in PennsylvaniaU01DP006296 · DP · GEISINGER CLINIC · PI HIRSCH, ANNEMARIE GREGORY · 2017 to 2021
$3.8M
CDC HHS DP006293NCCDPHP CDC HHS U01 DP006296
6 · The paper itself

Abstract

Greenness may impact blood pressure (BP), though evidence is limited among individuals with type 2 diabetes (T2D), for whom BP management is critical. We evaluated associations of residential greenness with BP among individuals with T2D in geographically diverse communities in Pennsylvania. To address variation in greenness type, we evaluated modification of associations by percent forest. We obtained systolic (SBP) and diastolic (DBP) BP measurements from medical records of 9593 individuals following diabetes diagnosis. Proximate greenness was estimated within 1250-m buffers surrounding individuals' residences using the normalized difference vegetation index (NDVI) prior to blood pressure measurement. Percent forest was calculated using the U.S. National Land Cover Database. Linear mixed models with robust standard errors accounted for spatial clustering; models were stratified by community type (townships/boroughs/cities). In townships, the greenest communities, an interquartile range increase in NDVI was associated with reductions in SBP of 0.87 mmHg (95% CI: -1.43, -0.30) and in DBP of 0.41 mmHg (95% CI: -0.78, -0.05). No significant associations were observed in boroughs or cities. Evidence for modification by percent forest was weak. Findings suggest a threshold effect whereby high greenness may be necessary to influence BP in this population and support a slight beneficial impact of greenness on cardiovascular disease risk.

Indexed as

Diabetes Mellitus, Type 2Blood PressureCitiesHumansPennsylvaniaRural Populationcommunity contextdiabetes mellitusgreenspacehypertensionpercent forestrural health

Identifiers

PMID33450813
PMCPMC7828293
OpenAlexW3118330331

What Socratic holds

Textmetadata
LicenceCC BY
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.