Evidence map›Paper›PMID 31612294›Full record

ArticleCommunity mental health journal2020

Small Area Estimation of Mental Distress Among United States Military Veterans in Illinois.

Justin T McDaniel, Minjee Lee, David L Albright, Hee Y Lee, Jay Maddock

Abstract read
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In one paragraph

Article in Community mental health journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 38% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

5 authors at 4 institutions in 1 country.

Justin T McDanielDepartment of Public Health and Recreation Professions, Southern Illinois University, 475 Clocktower Drive, Mailcode 4632, Carbondale, IL, 62901, USA. jtmcd@siu.edu.ORCID 0000-0001-8008-1645
Minjee LeeDepartment of Population Science and Policy, Southern Illinois University School of Medicine, 801 N. Rutledge St., Springfield, IL, 62702, USA.
David L AlbrightSchool of Social Work, The University of Alabama, Box 870314, Tuscaloosa, AL, 35487-0314, USA.
Hee Y LeeSchool of Social Work, The University of Alabama, Box 870314, Tuscaloosa, AL, 35487-0314, USA.
Jay MaddockDepartment of Environmental and Occupational Health, Texas A&M University, College Station, TX, USA.
University of Alabama · USSouthern Illinois University Carbondale · USSouthern Illinois University School of Medicine · USTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to estimate the prevalence of mental distress at the county-level for the service member or veteran (SMV) population in Illinois. Multilevel small-area estimation methodology (SAE) was used to estimate and map the prevalence of SMV mental distress in Illinois counties using data from the 2016 Behavioral Risk Factor Surveillance System. Furthermore, local indicators of spatial association analysis (LISA) was conducted in order to identify hotspots of SMV mental distress in Illinois. For 2016, the average model-based mental distress rate for SMVs in Illinois counties was 8.6%. LISA analysis revealed a significant cluster (p < 0.01) of "high-high" SMV mental distress prevalence in St. Clair County and Clinton County. These findings highlight the importance of examining SMV health from a population perspective and reveal the need for further examination of geographic-based SMV health disparities.

Indexed as

Mental DisordersVeteransBehavioral Risk Factor Surveillance SystemHealth BehaviorHumansIllinoisUnited StatesBRFSSCountyMental distressSmall area estimationVeteran

Identifiers

PMID31612294
OpenAlexW2980410039

What OpenQuestion holds

Textmetadata
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.