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Record W4324140533 · doi:10.1161/circ.147.suppl_1.p610

Abstract P610: French Canadian Translation and Validation of the Eating in the Absence of Hunger Questionnaire for Children and Adolescents

2023· article· en· W4324140533 on OpenAlexaffabout
Catherine Savard, Stéphanie Bégin, Julie Robitaille, Marie‐France Hivert, Véronique Gingras

Bibliographic record

VenueCirculation · 2023
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversité LavalCentre Hospitalier Universitaire Sainte-JustineUniversité de Montréal
Fundersnot available
KeywordsCronbach's alphaMedicineAffect (linguistics)Body mass indexInternal consistencyBoredomClinical psychologyDemographyPediatricsPsychometricsPsychology

Abstract

fetched live from OpenAlex

Background: Eating in the absence of hunger (EAH), i.e. eating past the point of satiety, has been associated with the development of excess body weight during childhood, independently of other traditional risk factors. EAH is typically assessed with a laboratory-based standardized protocol which is time-consuming and requires important resources. A questionnaire has been developed to simplify the assessment of EAH among children and adolescents, but it has only been validated in English. Objective: Our aim was to validate a French translation of the EAH Questionnaire among children and adolescents in Montreal, Canada. Methods: Participants aged 7 to 15 years old completed the questionnaire upon recruitment (n=200) and ~4 weeks later (n=159 of 200, 80% of participants). Self-reported body weight and height data was also collected at inclusion and body mass index (BMI) z-scores were computed. The questionnaire includes 14 items divided into three subscales evaluating specific triggers of EAH (fatigue/boredom, negative affect and external cues). The global score for EAH ranges from 14 to 70 points, a higher score indicating a higher tendency to EAH. We assessed internal consistency for the full questionnaire and for each subscale using Cronbach alpha coefficients using data from the first completion of the questionnaire. Temporal stability was evaluated with Pearson correlations between the initial and second completions of the questionnaire, for each of the EAH subscales and for the total score. Association of EAH and BMI z-score was also assessed with Pearson correlation. Results: Participants (50% girls, 100 of 200; 71% white, 142 of 200) were 11.9 ± 2.3 years old, had a mean ±SD total score for EAH of 27.2 ± 9.1 points and a mean ±SD BMI z-score of 0.21 ± 1.05. The total EAH score and the negative affect subscale showed good internal consistency (Cronbach alpha = 0.88 and 0.86, respectively), while internal consistency for the fatigue/boredom and the external cues subscales was considered adequate (Cronbach alpha = 0.75 and 0.68, respectively). The total score and each subscale scores from the second completion of the questionnaire were significantly correlated with their respective scores from the first completion (r = 0.75; ρ < 0.001 for the total score and r = 0.55 to 0.78; ρ < 0.001 for the three subscales). Moreover, participants’ BMI z-score was positively correlated with EAH total score (r = 0.15; ρ = 0.03). Conclusion: A French translated version of the EAH questionnaire appears to represent an adequate and reliable tool to assess EAH among French-speaking Canadian children and adolescents.

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)0.005
metaresearch head score (Gemma)0.007
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: Methods · Consensus signal: none
Teacher disagreement score0.220
Threshold uncertainty score0.443

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.003

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 head0.021
GPT teacher head0.267
Teacher spread0.246 · 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
GenreMethods

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
Published2023
Admission routes2
Has abstractyes

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