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Record W2170572522 · doi:10.1002/eat.20562

Predictors of family functioning in carers of individuals with anorexia nervosa

2008· article· en· W2170572522 on OpenAlexaff
Gina Dimitropoulos, Jacqueline Carter, Reva Schachter, D. Blake Woodside

Bibliographic record

VenueInternational Journal of Eating Disorders · 2008
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsPsychologyDistressClinical psychologySocial supportPopulationFamily caregiversPsychiatryMedicineGerontologyPsychotherapist

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of the present study was to determine influences on caregiver distress and family functioning in AN using the stress process model. METHOD: Using a cross-sectional design, self-report measures were disseminated to 63 family members of inpatients with long-term AN. Outcome measures included the Family Assessment Device and the General Health Questionnaire. RESULTS: Multiple regression analysis of family functioning resulted in a model predicting 38% of the variance. Burden, conflict regarding AN and the caregiving role, attitudes and actions of other family members toward the person with AN, family stigma, and social support were predictive of family functioning. In contrast, caregiver psychological distress was poorly predicted by the independent variables, with only 11% of the variance explained. CONCLUSION: These findings demonstrate the utility of the stress process model for predicting family functioning in this population, and suggest potential targets of intervention for clinicians working with caregivers.

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 score0.004
Threshold uncertainty score0.477

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.020
GPT teacher head0.295
Teacher spread0.275 · 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

Citations71
Published2008
Admission routes1
Has abstractyes

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