Evidence map›Paper›PMID 41930225›Full record

ArticleGeoHealth2026

Urban Voids and Neighborhood Health: Assessing Associations Between Vacant Land and Adverse Health Behaviors in Chicago.

Liang Chen, Helen C S Meier

Abstract read
In one paragraph

Article in GeoHealth, 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

2 authors.

Liang ChenSurvey Research Center Institute for Social Research University of Michigan Ann Arbor MI USA.ORCID https://orcid.org/0000-0002-3690-9887
Helen C S MeierSurvey Research Center Institute for Social Research University of Michigan Ann Arbor MI USA.ORCID https://orcid.org/0000-0003-4400-0216

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the relationships between vacant land and key adverse health behaviors, including smoking, insufficient sleep, and no leisure-time physical activity (No LPA), across census tracts in Chicago, Illinois. Using both global regression and geographically weighted regression (GWR), we evaluated whether neighborhood vacant land ratios (VLRs) were associated with the prevalence of these adverse health behaviors and assessed how these associations varied spatially across the city. We found significant spatial clustering in both vacant land and health behavior indicators, and the spatial clustering patterns of neighborhood vacancy and adverse health behaviors were broadly consistent. In global models, higher VLRs were associated with higher prevalence of adverse health behaviors; after accounting for spatially autocorrelated errors, the associations remained robust for smoking and insufficient sleep but were attenuated for No LPA. GWR results further revealed clear spatial non-stationarity, with stronger positive local associations concentrated in low-income neighborhoods on the south and west sides. When overlaid with Healthy Chicago Zones (HCZs), the strong vacancy-behavior associations aligned primarily with the West, Southwest, Near South, and Far South zones, highlighting these HCZs as priority areas where vacancy was most strongly linked to adverse health behaviors. Our findings support theories of neighborhood disorder and spatial inequality, emphasizing that vacant land is a potentially modifiable environmental determinant of health behaviors and calling for tailored interventions that consider local social and economic contexts to improve community health and advance health equity.

Indexed as

health behaviorneighborhood disordervacant land

Identifiers

PMID41930225
PMCPMC13042602

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.