Evidence map›Paper›PMID 39217339›Full record

ArticleInternational journal of health geographics2024

Comparing mapped park and greenspace boundaries in Philadelphia: implications for exposure assessment in health studies.

Dustin Fry, Lara A Roman, Michelle C Kondo

Abstract readComparative Study
In one paragraph

Article in International journal of health geographics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Dustin FryUSDA Forest Service Northern Research Station, 100 North 20th Street #405, Philadelphia, PA, 19103, USA. Dustin.Fry@usda.gov.
Lara A RomanUSDA Forest Service Northern Research Station & Pacific Southwest Research Station, 4955 Canyon Crest Drive, Riverside, CA, 92507, USA.
Michelle C KondoUSDA Forest Service Northern Research Station, 100 North 20th Street #405, Philadelphia, PA, 19103, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An important consideration in studies of the relationship between greenspace exposure and health is the use of mapped data to assign geographic exposures to participants. Previous studies have used validated data from municipal park departments to describe the boundaries of public greenspaces. However, this approach assumes that these data accurately describe park boundaries, that formal parks fully capture the park and greenspace exposure of residents, and (for studies that use personal GPS traces to assign participant exposures) that time spent within these boundaries represents time spent in greenspace. These assumptions are tested using a comparison and ground-truthing of four sources of mapped park and greenspace data in Philadelphia, Pennsylvania: PAD-US-AR, Philadelphia Parks and Recreation, the Delaware Valley Regional Planning Commission, and Open Street Maps. We find several important differences and tradeoffs in these data: the incorporation of highways and building lots within park boundaries, the inclusion or exclusion of formal park spaces (federal, state, and nonprofit), the exclusion of informal parks and greenspaces, and inconsistent boundaries for a linear park. Health researchers may wish to consider these issues when conducting studies using boundary data to assign park exposure.

Indexed as

Parks, RecreationalBuilt EnvironmentEnvironmental ExposureEnvironment DesignGeographic Information SystemsGeographic MappingHumansPhiladelphiaRecreationResidence Characteristics

Identifiers

PMID39217339
PMCPMC11366133

What OpenQuestion 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 OpenQuestion graph.