Evidence map›Paper›PMID 36633728›Full record

ArticleCommunity mental health journal2023

Ecological Study of Urbanicity and Self-reported Poor Mental Health Days Across US Counties.

Hannah Olson-Williams, Skylar Grey, Amy Cochran

Abstract read
In one paragraph

Article in Community mental health journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Hannah Olson-WilliamsDepartment of Population Health Sciences, University of WI - Madison, 610 Walnut Street, Madison, WI, 53726, USA.
Skylar GreyDepartment of Mathematics, University of WI - Madison, Madison, WI, USA.
Amy CochranDepartment of Population Health Sciences, University of WI - Madison, 610 Walnut Street, Madison, WI, 53726, USA. cochran4@wisc.edu.ORCID http://orcid.org/0000-0001-6024-796X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Geography may influence mental health by inducing changes to social and physical environmental and health-related factors. This understanding is largely based on older studies from Western Europe. We sought to quantify contemporary relationships between urbanicity and self-reported poor mental health days in US counties. We performed regression on US counties (n = 3142) using data from the County Health Rankings and Roadmaps. Controlling for state, age, income, education, and race/ethnicity, large central metro counties reported 0.24 fewer average poor mental health days than small metro counties (t = - 5.78, df = 423, p < .001). Noncore counties had 0.07 more average poor mental health days than small metro counties (t = 3.06, df = 1690, p = 0.002). Better mental health in large central metro counties was partly mediated by differences in the built environment, such as better food environments. Poorer mental health in noncore counties was not mediated by considered mediators.

Indexed as

IncomeMental HealthEducational StatusHumansInfant, NewbornSelf ReportUnited StatesGeographyMental healthSelf reportUrbanicity

Identifiers

PMID36633728
PMCPMC9838413

What OpenQuestion holds

Textmetadata
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Registered trials

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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.