Evidence map›Paper›PMID 42638842›Full record

ArticleFrontiers in public health2026

Community mental health under routine detention: jail reliance, pretrial custody, and frequent mental distress.

Xuanyin Li, Jinrui Zhang

Abstract read
In one paragraph

Article in Frontiers in public health, 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.

Xuanyin LiCollege of Criminal Justice, East China University of Political Science and Law, Shanghai, China.
Jinrui ZhangResearch Center for Public Security Governance, Hubei University of Police, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Most evidence on the criminal legal system as a structural determinant of population mental health concerns police killings and prison incarceration rather than the local jails and pretrial custody through which most criminal-legal contact occurs. We examined whether U.S. counties that rely more heavily on jail confinement and pretrial custody have a higher prevalence of frequent mental distress. Methods: We linked county-year frequent mental distress estimates from CDC PLACES (2018-2023) to jail population, pretrial custody, and jail admissions rates from the Vera Institute, law-enforcement incident rates from the FBI Crime Data Explorer, fatal police shooting rates from the Washington Post, and state-level jail mortality rates from the Bureau of Justice Statistics. Ecological associations were estimated with population-weighted least squares models with state and year fixed effects, county-clustered standard errors, and analysis windows matched to each source's coverage. Results: A one-standard-deviation higher jail population rate was associated with 1.17 percentage points higher frequent mental distress (95% CI 0.88 to 1.46; Discussion: Counties that rely heavily on jail and pretrial detention carry a substantially higher community mental-health burden, but that burden is largely inseparable from the socioeconomic disadvantage of the same counties; routine detention practice is best treated as a marker of structurally disadvantaged community environments rather than as an isolated exposure.

Indexed as

IncarcerationJailsMental DisordersMental HealthPrisonersCorrectional FacilitiesHumansUnited Statescommunity mental healthecological studyfrequent mental distressjail incarcerationpretrial detentionpublic mental healthsocial determinants of healthU.S. counties

Identifiers

PMID42638842
PMCPMC13500246

What OpenQuestion holds

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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.