Validation of the French Version of the DSM-5 Yale Food Addiction Scale in a Nonclinical Sample
Bibliographic record
Abstract
OBJECTIVE: The Yale Food Addiction Scale (YFAS) is the only questionnaire that assesses food addiction (FA) based on substance dependence criteria in the Diagnostic and Statistical Manual of Mental Disorders (DSM), Fourth Edition, Text Revision. Following recent updating of addiction criteria, a new DSM-5 version (YFAS 2.0) has been developed. Our study tested the psychometric properties of the French YFAS 2.0 in a nonclinical population. METHOD: We assessed 330 nonclinical participants for FA (French YFAS 2.0), eating behaviour, and eating disorder (Binge Eating Scale, Emotional Overeating Questionnaire, Three-Factor Eating Questionnaire-R18, Questionnaire on Eating and Weight Patterns-Revised, Eating Disorder Diagnostic Scale). We tested the scale's factor structure (confirmatory factor analysis based on 11 diagnostic criteria), internal consistency, and construct and incremental validity. RESULTS: Prevalence of FA was 8.2%. Our results supported a 1-factor structure similar to the US version. In both its diagnostic and symptom count versions, the YFAS 2.0 had good internal consistency (Kuder-Richardson alpha was 0.83) and was associated with body mass index (BMI), binge eating, uncontrolled and emotional eating, binge eating disorder, and cognitive restraint. FA predicted BMI above and beyond binge eating frequency. Females had a higher prevalence of FA than males but not more FA symptoms. CONCLUSIONS: We validated a psychometrically sound French version of the YFAS 2.0 in a nonclinical population, in both its symptom count and diagnostic versions. Future studies should investigate psychometric properties of this questionnaire in clinical populations potentially at risk for FA (that is, patients with obesity, diabetes, hypertension, or other metabolic syndrome risk factors).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".