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Record W6393235

Effectiveness of a group psychoeducation program for the treatment of subclinical disordered eating in women with type 1 diabetes.

2001· article· en· W6393235 on OpenAlexaff
S C Alloway, Ellen L. Toth, Linda J. McCargar

Bibliographic record

VenuePubMed · 2001
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychoeducationMedicineSubclinical infectionDisordered eatingPopulationType 2 diabetesDiabetes mellitusDistressEating disordersPsychopathologyIntervention (counseling)Physical therapyClinical psychologyPsychiatryInternal medicineEndocrinology
DOInot available

Abstract

fetched live from OpenAlex

The coexistence of type 1 diabetes mellitus and disordered eating is associated with poor metabolic control, poor adherence to diabetes treatment regimens, and increased risk of long-term diabetic complications. This study assessed whether a six-session group psychoeducation program would improve metabolic control, diabetes treatment adherence, eating disorder symptomatology, and general psychopathology in women with coexisting type 1 diabetes and subclinical disordered eating. Fourteen women were assigned to the treatment group (n=8) or wait-list control group (n=6). Measurements were taken at baseline, post-intervention, and one month post-intervention. There were no significant differences in how the treatment group and wait-list control group changed over time. Between the first and second measurements, both groups demonstrated significant improvements in depression and general emotional distress. The results suggest that a six-session group psychoeducation program is no more effective than a wait-list control group for treating subclinical disordered eating in women with type 1 diabetes. Further research is required to determine the most effective treatment for this population.

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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.036
GPT teacher head0.339
Teacher spread0.303 · 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 designNon-randomized trial
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

Citations28
Published2001
Admission routes1
Has abstractyes

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