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Record W2148932769 · doi:10.1177/070674370605101007

Twelve-Month Psychiatric Disorder among Single and Married Mothers: The Role of Marital History

2006· article· en· W2148932769 on OpenAlexaffvenue
John Cairney, David J. Pevalin, Terrance J. Wade, Scott Veldhuizen, Julio Arboleda‐Flórez

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsQueen's UniversityBrock UniversityUniversity of TorontoCentre for Addiction and Mental Health
FundersNational Institute on Minority Health and Health Disparities
KeywordsPsychiatryComorbidityMarital statusPsychiatric comorbidityMedicinePsychologyDemographyClinical psychologyPopulation

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine differences between single and married mothers in the 12-month prevalence of psychiatric disorders. METHODS: The analysis uses data from the National Comorbidity Survey, collected in 1992-1993, and focuses on women aged 15 to 55 years with children (n=1346). Psychiatric disorders are assessed with the University of Michigan Composite International Diagnostic Interview, a survey instrument based on DSM-III-R criteria. RESULTS: Compared with married mothers, previously married mothers have elevated rates of disorders. Prevalences among single mothers who were never married are similar to those among married mothers, but they are generally lower than prevalences among mothers who experience a marital disruption. CONCLUSIONS: These results indicate that marital separation and divorce may be markers for elevated risk for psychiatric disorder among women with children. It is important to consider the impact of marital history on the relation between family structure and psychiatric outcomes.

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)0.001
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 score0.730
Threshold uncertainty score0.798

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.007
GPT teacher head0.198
Teacher spread0.191 · 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

Citations25
Published2006
Admission routes2
Has abstractyes

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