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Record W1982573060 · doi:10.1080/14681990600861040

Marital relationship and psychological distress: Its correlates and treatments

2006· article· en· W1982573060 on OpenAlexaff
M.R. Goldfarb, Gilles Trudel, Richard Boyer, Michel Préville

Bibliographic record

VenueSexual & Relationship Therapy · 2006
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversité de SherbrookeUniversité de MontréalHôpital Louis-H LafontaineUniversité du Québec à Montréal
Fundersnot available
KeywordsPsychologyAssociation (psychology)AnxietyPsychological distressDepressive symptomsClinical psychologyDistressMarital relationshipPsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

The present review examines the link of marital relationship with depressive and anxiety disorders in adult and older couples. Empirical and descriptive studies from the period 1984 to 2005 are reviewed. Particular emphasis is placed on the role of different treatment modalities and methodological approaches for dealing with co-occurring marital discord and psychological distress. Overall, the literature indicates a strong association of depressive symptoms with marital relationship, being this association of a different nature in adult and older couples. Possible causal pathways of this relationship are discussed. However, the literature about the link between anxiety disorders and marital discord is inconclusive, and its relationship in older couples has not yet been addressed. Suggestions for future research are included.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.066
GPT teacher head0.404
Teacher spread0.338 · 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 source (direct Gemma or distilled Codex), 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

Citations46
Published2006
Admission routes1
Has abstractyes

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