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Record W2069714301 · doi:10.1002/da.20560

A population-based family study of minor depression

2009· article· en· W2069714301 on OpenAlexaff
Stephen C. Newman, Roger Bland

Bibliographic record

VenueDepression and Anxiety · 2009
Typearticle
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOdds ratioDepression (economics)ProbandPsychiatryPsychologyFamily historyPopulationLogistic regressionMajor depressive disorderConfidence intervalMedicineClinical psychologyInternal medicineMoodGeneticsEnvironmental healthBiology

Abstract

fetched live from OpenAlex

BACKGROUND: There is a paucity of research on whether minor depression is a familial disorder. METHODS: We conducted a population-based family study of minor depression in which subjects were interviewed using the Diagnostic Interview Schedule (DIS). Minor depression only (MDO) was diagnosed if there was a lifetime history of what the DIS refers to as a depressive "spell" and no lifetime history of either Diagnostic and Statistical Manual of Mental Disorders, Third Edition, major depression or dysthymia. There were 71 probands with a lifetime history of MDO; 577 controls with no lifetime history of MDO, major depression, or dysthymia; and 1,539 first-degree relatives (FDRs). Logistic regression was performed with the presence/absence of MDO in a proband/control as the "exposure" and MDO in an FDR as the "outcome". RESULTS: The odds ratio for the association between MDO in a proband and MDO in an FDR, after adjusting for age and sex of the FDR, was 1.55 (95% confidence interval: 0.93-2.58; P=.093). The study had 80% power to detect an odds ratio as small as 1.97, which is in the range of odds ratios seen for the familial aggregation of major depression. CONCLUSIONS: MDO does not appear to be a familial disorder, raising questions about the validity of "minor depression" as a distinct psychiatric syndrome.

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.

How this classification was reachedexpand

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 score0.124
Threshold uncertainty score0.542

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.015
GPT teacher head0.285
Teacher spread0.270 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2009
Admission routes1
Has abstractyes

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