Evidence map›Paper›PMID 38012504›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2023

Associations between a Novel Measure of Census Tract-Level Credit Insecurity and Frequent Mental Distress in US Urban Areas, 2020.

Andrea R Titus, Yuruo Li, Claire Kramer Mills, Benjamin Spoer, Taylor Lampe, Byoungjun Kim, Marc N Gourevitch, Lorna E Thorpe

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2023. 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.

Andrea R TitusDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA. andrea.titus@nyulangone.org.ORCID 0000-0001-7586-643X
Yuruo LiDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
Claire Kramer MillsFederal Reserve Bank of New York, New York, NY, USA.
Benjamin SpoerDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
Taylor LampeDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
Byoungjun KimDepartment of Surgery, NYU Grossman School of Medicine, New York, NY, USA.
Marc N GourevitchDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
Lorna E ThorpeDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.

Funding

AHRQ HHS T32 HS026120Robert Wood Johnson Foundation 78287Robert Wood Johnson Foundation 78440
6 · The paper itself

Abstract

Access to and utilization of consumer credit remains an understudied social determinant of health. We examined associations between a novel, small-area, multidimensional credit insecurity index (CII), and the prevalence of self-reported frequent mental distress across US cities in 2020. The census tract-level CII was developed by the Federal Reserve Bank of New York using Census population information and a nationally representative sample of anonymized Equifax credit report data. The CII was calculated for tracts in 766 cities displayed on the City Health Dashboard at the time of analysis, predominantly representing cities with over 50,000 residents. The CII combined data on tract-level participation in the formal credit economy with information on the percent of individuals without revolving credit, percent with high credit utilization, and percent with deep subprime credit scores. Tracts were classified as credit-assured, credit-likely, mid-tier, at-risk, or credit-insecure. We used linear regression to examine associations between the CII and a modeled tract-level measure of frequent mental distress, obtained from the CDC PLACES project. Regression models were adjusted for neighborhood economic and demographic characteristics. We examined effect modification by US region by including two-way interaction terms in regression models. In adjusted models, credit-insecure tracts had a modestly higher prevalence of frequent mental distress (prevalence difference = 0.38 percentage points; 95% CI = 0.32, 0.44), compared to credit-assured tracts. Associations were most pronounced in the Midwest. Local factors impacting credit access and utilization are often modifiable. The CII, a novel indicator of community financial well-being, may be an independent predictor of neighborhood health in US cities and could illuminate policy targets to improve access to desirable credit products and downstream health outcomes.

Indexed as

Census TractResidence CharacteristicsCitiesHumansNew YorkResearch DesignCredit insecurityMental distressMental health

Identifiers

PMID38012504
PMCPMC10728417

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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.