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Record W3023079300 · doi:10.57709/17590734

Men's Externalizing Depression: Invariance of the Male Depression Risk Scale and Latent Symptom Profiles among African American and European American Men

2022· article· en· W3023079300 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDigital Archive @ GSU · 2022
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsnot available
Fundersnot available
KeywordsDepression (economics)PsychologyMeasurement invarianceAfrican americanClinical psychologyScale (ratio)PsychiatryConfirmatory factor analysisStructural equation modelingGeographyHistory

Abstract

fetched live from OpenAlex

Empirical studies of the well-documented deleterious psychological effects of rigid conformity to traditional masculine norms suggest that many men experience, express and respond to negative affect through a syndrome that combines internalizing depression with externalizing symptoms such as substance use, impulsivity, anger/irritation and risk-taking. These symptoms are not captured by the largely internalizing criteria (e.g. low mood, anhedonia, fatigue) indexed in current depression criteria. Researchers examining men?s externalizing depression have used the Male Depression Risk Scale (MDRS-22; Rice, Fallon, Aucote, & M”ller-Leimkhler, 2013), a brief, psychometrically sound self-report instrument, with largely homogeneous Canadian and Australian samples. The current study extends research on men?s externalizing depression to more diverse US populations by evaluating the measurement invariance of the MDRS-22 across Black/African American men (AA) and White/European American men (EA), and applying latent profile similarity analysis (Morin, Meyer, Creusier, & Bi‚try, 2016) to identify MDRS-22 subpopulations in each sample. Participants were US adult men (AA n = 324, EA n = 319) recruited using Amazon Mechanical Turk. Results supported scalar invariance for the MDRS-22 and indicated the existence of three latent MDRS-22 profiles. While most men were characterized as asymptomatic, two additional profiles, an elevated mixed internalizing/externalizing pattern and a high externalizing pattern were also noted in both groups. EA men were differentiated only by high drug use scores, with the remainder of their externalizing symptoms following a pattern that more resembled the mixed elevated subgroup. High-profile AA men exhibited a range of heightened externalizing symptoms. Results suggest that AA and EA men experience, express and respond to elevated levels of depression in heterogenous ways.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.529

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.234
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it