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Enregistrement W4412174878 · doi:10.1186/s40337-025-01332-9

Measurement invariance of a brief disordered eating scale in a large sample of secondary school students in Canada

2025· article· en· W4412174878 sur OpenAlexafffundabout
Zheng Lin, William Pickett, Jianjun Liu, Scott T. Leatherdale, Karen A. Patte

Notice bibliographique

RevueJournal of Eating Disorders · 2025
Typearticle
Langueen
DomainePsychology
ThématiqueEating Disorders and Behaviors
Établissements canadiensUniversity of WaterlooQueen's UniversityBrock University
Organismes subventionnairesCanadian Centre on Substance Use and AddictionInstitute of Population and Public HealthInstitute of Nutrition, Metabolism and DiabetesInstitute of Human Development, Child and Youth HealthCanadian Institutes of Health ResearchHealth Canada
Mots-clésMeasurement invarianceScale (ratio)Sample (material)Disordered eatingScale invariancePsychologyMathematics educationStatisticsGeographyMathematicsPhysicsClinical psychologyEating disordersCartographyStructural equation modelingConfirmatory factor analysis

Résumé

récupéré en direct d'OpenAlex

For use in population-level surveys, there is a need for brief measures of disordered eating (DE) that demonstrate validity among diverse adolescents. This study aimed to (1) assess the measurement invariance of a short DE scale among high school students in Canada, and (2) estimate differences in scale scores across student sociodemographic subgroups. We used student-level survey data collected during the 2021/2022 school year in the COMPASS study. The sample included 24,639 students in grades 9–12 from 69 secondary schools in Alberta, British Columbia, and Ontario, Canada. Multi-group confirmatory factor analysis was applied to assess measurement invariance (i.e., configural, metric, scalar, and strict invariance) of the 6-item DE scale, and one-way ANOVA and mixed linear regression were implemented to estimate scale score differences across population subgroups (by grade, gender, race and ethnicity, family affluence, and weight status). Results demonstrated full measurement invariance of the DE scale across student sociodemographic subgroups. Higher sum scale scores indicated greater engagement in DE thoughts or behaviours. Students in higher school grade (e.g., grade 12), transgender and gender diverse youth, and cisgender girls reported higher DE scores compared to their grade 9 and cisgender boy peers. Elevated DE scores were also observed among adolescents of Middle Eastern and Another or Multiethnic identity, students with less affluent households, and those with higher body weights, relative to their White, more affluent, and relatively lower weight peers, respectively. Results indicate the DE scale measures the same construct across various subgroups of adolescents, providing confidence that differences in scale scores found by grade, gender, race and ethnicity, affluence, and weight reflect actual differences in DE rather than artifactual differences in scale interpretation. This scale warrants additional psychometric testing as a promising brief DE measure suitable for large population-level youth surveys. Our results provide important new evidence from a large contemporary sample of adolescents demonstrating elevated risk of DE among specific subgroups and emphasizing the need for targeted interventions. This study tested a new short measure of disordered eating (DE) for use in survey research among adolescents. The goal was to ensure the questionnaire works consistently across different groups of students, including boys, girls, transgender and gender diverse (TGD) youth, and students from different grades, racial and ethnic backgrounds, family income levels, and body sizes. Using data from over 24,000 students in grades 9 to 12 at 69 secondary schools in Canada, we found support for use of the DE measure across all groups. The measure appears to assess DE in the same way for all students, which means that any differences in DE scores between groups likely reflect real differences in DE thoughts and behaviours, and not different interpretations of the questions. Some groups of students were more likely to report DE than others. Groups at increased risk of reporting DE included older students, girls, TGD youth, and students from lower-income families, with higher body weights, and of Middle Eastern and Another/Multiethnic backgrounds. Overall, the study suggests that this brief DE measure could be useful for large youth health surveys. It also highlights the importance of providing extra support for the groups at greater risk of DE.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,308
Score d'incertitude au seuil0,857

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,014
Tête enseignante GPT0,296
Écart entre enseignants0,282 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission3
Résumé présentoui

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