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Record W2060747776 · doi:10.1177/108705470400800101

The marital and family functioning of adults with ADHD and their spouses

2004· article· en· W2060747776 on OpenAlexaff
Laurel Eakin, Klaus Minde, Lily Hechtman, Eric P. Ochs, Erica Krane, Rachelle Bouffard, Brian Greenfield, Karl Looper

Bibliographic record

VenueJournal of Attention Disorders · 2004
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsJewish General HospitalUniversity of VictoriaMcGill University
Fundersnot available
KeywordsPsychologyClinical psychologyAttention deficit hyperactivity disorderPerceptionMarital statusPsychiatryDevelopmental psychologyMedicinePopulation

Abstract

fetched live from OpenAlex

Little is known about the family relationships of adults with Attention-Deficit/Hyperactivity Disorder (ADHD). Thus, the marital adjustment and family functioning of 33 married adults with ADHD and their spouses was compared to 26 non-ADHD control participants and their spouses. Results revealed that married adults with ADHD reported poorer overall marital adjustment on the Dyadic Adjustment Scale (DAS; Spanier, 1989) and more family dysfunction on the Family Assessment Device (FAD; Eptein, Baldwin, & Bishop, 1983) than control adults. The spouses of adults with ADHD did not differ from control spouses in reports of overall marital adjustment and family dysfunction. A greater proportion of their marital adjustment scores, however, fell within the maladjusted range. The ADHD adults' perceptions of the health of their marriages and families were more negative than their spouses' perceptions. The way in which spouses of ADHD adults compensated for their partners' difficulties were explored through clinical interviews. The findings in this study underscore the need for assessments and treatments to address marital and family functioning of adults with ADHD.

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)0.005
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.251
Teacher spread0.238 · 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

Citations314
Published2004
Admission routes1
Has abstractyes

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Same venueJournal of Attention DisordersSame topicAttention Deficit Hyperactivity DisorderFrench-language works237,207