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Record W4247288936 · doi:10.22215/etd/2013-09894

Attachment Style and Obesity: Examination of Eating Behaviours as Mediating Mechanisms in a Community Sample of Ontario Youth

2013· dissertation· en· W4247288936 on OpenAlexaffabout
Danijela Maras

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsOverweightObesityBody mass indexPsychologyAttachment theoryStyle (visual arts)Developmental psychologyEmotional eatingInsecure attachmentClinical psychologyDisordered eatingMedicineEating disordersEating behaviorEndocrinology

Abstract

fetched live from OpenAlex

Obesity and being overweight are characterized by excess body weight from fat, and are associated with many negative health outcomes.Attachment style has been implicated in the etiology of obesity in youth.The present study examined the relationship between attachment style and body mass index (BMI) in a large community sample of Ontario youth, as well as examined possible mediating mechanisms of this relationship (restrained, emotional, and external eating), while controlling for covariates.Results indicate that insecure attachment was associated with increased BMI, and that this relationship was significantly mediated by restrained eating behaviour.This mediational pathway was moderated by gender; the pathway was stronger for girls than for boys, but was significant for both.These findings suggest that it may be important to take attachment history into account when designing treatment and prevention strategies for obesity in youth.

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)0.001
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 score0.093
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.032
GPT teacher head0.320
Teacher spread0.288 · 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

Citations0
Published2013
Admission routes2
Has abstractyes

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