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Natural history and predictors of disturbed eating behaviour in girls with Type 1 diabetes

2007· article· en· W1976794178 on OpenAlexaff
Patricia Colton, Marion P. Olmsted, Denis Daneman, Anne Rydall, Gary Rodin

Bibliographic record

VenueDiabetic Medicine · 2007
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity Health Network
Fundersnot available
KeywordsMedicinePsychosocialBody mass indexEating disordersFamily historyDemographyClinical psychologyPediatricsPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

AIM: To determine the natural history and psychosocial predictors of disturbed eating behaviour in girls with Type 1 diabetes (T1D) over a 1-year period. METHODS: One hundred and six girls with T1D, 9-13 years of age at Time 1, completed a Children's Eating Disorder Examination (cEDE) interview at Time 1 and again 1 year later (Time 2). Potential Time 1 predictors of Time 2 disturbed eating behaviour were body mass index (BMI), self-esteem, depressive symptoms, attachment to parents, and parental eating attitudes. Glycated haemoglobin (HbA(1c)) was measured. RESULTS: Disturbed eating behaviour was reported by 14% (15/106) of girls at Time 1, and 17% (18/106) at Time 2, and persisted in 8/15 girls over 1 year. Lower self-esteem, higher BMI and more disturbed maternal eating attitudes at Time 1 accounted for 35% of the variance in Time 2 cEDE score, while higher BMI and more disturbed attachment to one's mother predicted new-onset disturbed eating behaviour at Time 2. Glycaemic control was not associated with or predicted by disturbed eating behaviour. CONCLUSIONS: There was only moderate stability in disturbed eating behaviour status over a 1-year period. In this preliminary study, disturbed eating behaviour was associated with and, to a lesser degree, predicted by physical, psychological and family factors. Although the long-term clinical course of the mild disturbances identified is not known, prevention and early intervention efforts in this high-risk medical group should begin in the pre-teen years, and should probably target multiple factors in order to prevent the persistence and worsening of disturbed eating behaviour and its medical sequelae.

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)0.001
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 score0.010
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.014
GPT teacher head0.267
Teacher spread0.253 · 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

Citations55
Published2007
Admission routes1
Has abstractyes

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