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Enregistrement W4404019481 · doi:10.2196/58460

Testing a Web-Based Interactive Comic Tool to Decrease Obesity Risk Among Racial and Ethnic Minority Preadolescents: Randomized Controlled Trial

2024· article· en· W4404019481 sur OpenAlexvenueno aff
May May Leung, Katrina F. Mateo, Marlo Dublin, Lawrence E. Harrison, Sandra Verdaguer, Katarzyna Wyka

Notice bibliographique

RevueJMIR Formative Research · 2024
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueComics and Graphic Narratives
Établissements canadiensnon disponible
Organismes subventionnairesAgency for Healthcare Research and Quality
Mots-clésPreprintComicsRandomized controlled trialPsychologyMedicineComputer scienceWorld Wide WebInternal medicine

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Childhood obesity prevalence remains high, especially in racial and ethnic minority populations with low incomes. This epidemic is attributed to various dietary behaviors, including increased consumption of energy-dense foods and sugary beverages and decreased intake of fruits and vegetables. Interactive, technology-based approaches are emerging as promising tools to support health behavior changes. OBJECTIVE: This study aimed to assess the feasibility and acceptability of Intervention INC (Interactive Nutrition Comics for Urban, Minority Preadolescents), a 6-chapter web-based interactive nutrition comic tool. Its preliminary effectiveness on diet-related psychosocial variables and behaviors was also explored. METHODS: A total of 89 Black or African American and Hispanic preadolescents with a mean age of 10.4 (SD 1.0) years from New York City participated in a pilot 2-group randomized study, comprising a 6-week intervention and a 3-month follow-up (T4) period. Of the 89 participants, 61% were female, 62% were Black, 42% were Hispanic, 53% were overweight or obese, and 34% had an annual household income of <US $20,000. Participants were randomly assigned to the experimental group (45/89, 50% received the web-based comic tool), or the comparison group (44/89, 50% received web-based nutrition newsletters). Primary measures included feasibility and usability at intervention midpoint (T2) and intervention end (T3). Semistructured interviews were conducted at the same time to assess acceptability and satisfaction. Secondary measures, collected at baseline (T1), T2, T3, and at T4, included attitudes, beliefs, and behaviors related to fruit, vegetable, water, sugar, and junk food intake. Descriptive analyses were conducted for use and usability data. Interviews were systematically analyzed to facilitate identification of patterns and themes. Secondary data were analyzed using descriptive statistics. Within- and between-group effect sizes were reported. RESULTS: In total, 72% (33/45) and 60% (27/44) of the experimental and comparison groups, respectively, accessed their tool weekly. The mean total usability score was high and moderately high for the experimental and comparison groups, respectively (mean 4.01, SD 0.37 and mean 3.81, SD 0.51; P=.048), based on a 5-point Likert scale). Children in both groups found the tool acceptable, and few reported difficulties logging in or accessing content. Between-group effect sizes for beliefs and attitudes related to dietary intake, while favoring the experimental group at T3, were in the small range. These improvements in both groups were largely diminished by T4. However, between-group effect sizes for behaviors related to fruit, vegetable, and water intake, favoring the experimental group, were medium to large and were maintained at T4. CONCLUSIONS: This pilot feasibility study suggests that an interactive comic tool may be an appealing and useful format to promote positive dietary behaviors in racial and ethnic minority preadolescents. However, further research, including a full-scale randomized controlled trial, is warranted to determine the effectiveness of Intervention INC. TRIAL REGISTRATION: ClinicalTrials.gov NCT03165474; https://clinicaltrials.gov/study/NCT03165474. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/10682.

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)0,005
score de la tête « metaresearch » (Gemma)0,004
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: Essai randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,117
Score d'incertitude au seuil0,900

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0000,000
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 Opus0,051
Tête enseignante GPT0,366
Écart entre enseignants0,314 · 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'étudeEssai randomisé
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
Publié2024
Routes d'admission1
Résumé présentoui

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