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Record W4396796387 · doi:10.1080/00207284.2024.2341293

Improvements in Quality of Life and Readiness for Change After Participating in an Eating Disorder Psychoeducation Group: A Pilot Study

2024· article· en· W4396796387 on OpenAlexfundno aff
Hella Lee, Sameer Desai, You Na Choi

Bibliographic record

VenueInternational Journal of Group Psychotherapy · 2024
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsnot available
FundersVancouver Coastal Health Research Institute
KeywordsPsychoeducationPsychologyQuality of life (healthcare)Group psychotherapyPsychotherapistClinical psychologyPsychiatryPsychological intervention

Abstract

fetched live from OpenAlex

Psychoeducation groups are an integral part of eating disorder treatment in community programs, yet research on their efficacy remains limited. This study examines the impact of participating in a 10-week psychoeducation group on changes in quality of life and in readiness and motivation. Seventy-five adults who had eating disorders were included in the study. We administered the Eating Disorder Quality of Life Scale (EDQLS) and Readiness and Motivation Questionnaire (RMQ) before and after the group. After participation, respondents reported an 11-point increase in the EDQLS score and 9-, 8-, and 9-point increases, respectively, in the total action, confidence, and internality components of the RMQ score. In group exit evaluations, participants reported that the psychoeducation group improved their quality of life and their readiness and motivation to recover.

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)0.002
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.123
GPT teacher head0.473
Teacher spread0.350 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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