Evidence map›Paper›PMID 36952121›Full record

ArticleJournal of racial and ethnic health disparities2024

Exploring the Social Determinants of Mental Health by Race and Ethnicity in Army Wives.

Jessica Dodge, Kathrine Sullivan, Edward Miech, Adriane Clomax, Lyndon Riviere, Carl Castro

Open access · hybridAbstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

6 authors at 5 institutions in 1 country.

Jessica DodgeCenter for Clinical Management Research, Health Services Research and Development, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA. jessica.dodge@va.gov.ORCID 0000-0003-0487-4664
Kathrine SullivanSilver School of Social Work, New York University, 1 Washington Square North, New York, NY, 10003, USA.
Edward MiechRegenstrief Institute, Center for Health Services Research, 1101 W 10th Street, Indianapolis, IN, 46202, USA.
Adriane ClomaxCenter for Innovation and Research on Veterans and Military Families, Suzanne Dworak-Peck School of Social Work, 669 West 34th Street, Suite 201D, Los Angeles, CA, 90089, USA.
Lyndon RiviereWalter Reed Army Institute of Research, 503 Robert Grant Ave., Silver Spring, MD, 20910, USA.
Carl CastroCenter for Innovation and Research on Veterans and Military Families, Suzanne Dworak-Peck School of Social Work, 669 West 34th Street, Suite 201D, Los Angeles, CA, 90089, USA.
Center for Innovation · USHealth Services Research & Development · USNew York University · USRegenstrief Institute · USWalter Reed Army Institute of Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the social determinants of mental health (SDoMH) by race/ethnicity in a sample with equal access to healthcare. Using an adaptation of the World Health Organization's SDoMH Framework, this secondary analysis examines the socio-economic factors that make up the SDoMH by race/ethnicity.

methodThis paper employed configurational comparative methods (CCMs) to analyze various racial/ethnic subsets from quantitative survey data from (N = 327) active-duty Army wives. Data was collected in 2012 by Walter Reed Army Institute of Research.

resultsInitial exploratory analysis revealed the highest-scoring factors for each racial/ethnic subgroup: non-Hispanic Black: employment and a history of adverse childhood events (ACEs); Hispanic: living off post and a recent childbirth; junior enlisted non-Hispanic White: high work-family conflict and ACEs; non-Hispanic other race: high work-family conflict and not having a military history. Final analysis showed four models consistently explained clinically significant depression symptoms and four models consistently explained the absence of clinical depression symptoms, providing a solution for each racial/ethnic minority group (non-Hispanic Black, Hispanic, junior enlisted non-Hispanic White, and non-Hispanic other). DISCUSSION: These findings highlight that Army wives are not a monolithic group, despite their collective exposure to military-specific stressors. These findings also highlight the potential for applying configurational approaches to gain new insights into mental health outcomes for social science and clinical researchers.

Indexed as

EthnicityMilitary PersonnelChildHumansMental HealthMinority GroupsSocial Determinants of HealthSpousesUnited StatesArmyCoincidence analysisMental healthMilitary spousesQualitative comparative analysisSocial Determinants of Health

Identifiers

PMID36952121
PMCPMC10933139
OpenAlexW4360600630

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.