Evidence map›Paper›PMID 40967255›Full record

ArticleAmerican journal of health promotion : AJHP2026

Investigating Socioeconomic Disparities in Park Access Across Two Southeastern US Cities Using a Unique Park Metric: An Ecological Analysis.

Andrew T Kaczynski, Marilyn E Wende, Jasper Schipperijn, S Morgan Hughey, Ellen W Stowe, J Aaron Hipp, Farnaz Hesam Shariati, Mohammad Javad Koohsari

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of health promotion : AJHP, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Andrew T KaczynskiDepartment of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.ORCID 0000-0001-8724-8241
Marilyn E WendeDepartment of Health Education and Behavior, College of Health and Human Performance, University of Florida, Gainesville, FL, USA.
Jasper SchipperijnDepartment of Sport Sciences and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
S Morgan HugheyDepartment of Health and Human Performance, College of Charleston, Charleston, SC, USA.
Ellen W StoweDepartment of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
J Aaron HippDepartment of Parks, Recreation, and Tourism Management, NC State University, Raleigh, NC, USA.ORCID 0000-0002-2394-7112
Farnaz Hesam ShariatiDepartment of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Mohammad Javad KoohsariSchool of Advanced Science and Technology, Japan Advanced Institute of Science and Technology, Nomi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PurposeThis study aimed to demonstrate how ParkIndex values can be used to examine issues related to composite park access, and to investigate whether ParkIndex scores for block groups were significantly different by income, race/ethnicity, and population density.DesignCross-sectional, environmental justice analysis of spatial disparities.SettingGreenville County, South Carolina, and Raleigh, North Carolina.SubjectsPark access and quality data were collected for a total of 507 block groups across the study setting.MeasuresFor all study block groups, we empirically derived a multi-dimensional park access metric called ParkIndex representing the probability of park use based on three park availability and quality indicators. Block group median household income, race/ethnicity, and population density were obtained from the US Census Bureau's American Community Survey.AnalysisChoropleth maps were used to juxtapose ParkIndex values and neighborhood sociodemographic attributes. Analysis of variance was conducted to examine differences in ParkIndex values by multiple sociodemographic variables.ResultsNo significant differences in ParkIndex values were found by median household income (F = 0.15,

Indexed as

Parks, RecreationalCitiesCross-Sectional StudiesEnvironmental JusticeEthnicityHumansNeighborhood CharacteristicsNorth CarolinaPopulation DensityResidence CharacteristicsSocioeconomic Disparities in HealthSocioeconomic FactorsSouth Carolinadisparitiesmeasurementparksrace/ethnicitysocioeconomic status

Identifiers

PMID40967255
PMCPMC13039233

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.