Evaluation of the Automated Self‐Administered 24‐hour Dietary Assessment Tool (ASA24) for use with children: An observational feeding study
Notice bibliographique
Résumé
With technological innovation, it is now possible to collect 24‐hour dietary recalls in a broader range of studies than previously possible. The Automated Self‐Administered 24‐hour Dietary Assessment Tool (ASA24), a web‐based tool that enables self‐administered 24‐hour recalls (24HRs), has been shown to be feasible and perform well in terms of capturing true intake in samples of adults. However, data to inform use with children are limited. This observational feeding study was conducted to evaluate children's ability to accurately report a lunch time meal using ASA24. The study was conducted among children in grades 5–8 (ages 10–13 years) within a school setting and involved consuming a study‐provided lunch, with consumption unobtrusively documented, during a regular lunch period. Students were served an individual cheese pizza, baby carrots, ranch dip, yogurt, a cookie, and a choice of water, juice, or milk. Plate waste was collected and weighed. The following day, participants were asked to complete ASA24, along with a demographic and health questionnaire, within a 50–60 minute class period. A total of 98 children participated in both days of the study. The majority (n=82) were asked to complete ASA24‐2016; in one grade 5 class, 16 students completed ASA24‐Kids for comparison purposes. Several children did not fully complete ASA24 and true intake data were missing for a small number due to logistical challenges in collecting plate waste within classroom settings. This left 61 recalls that included sufficient detail for food codes to be assigned within the ASA24 system and for which true intake was known. Among these, 7 recalled lunches did not match what was served and were excluded from further analysis, leaving 54 recalls. This subsample of 54 children reported matches for 73% of the foods and beverages actually consumed. When stricter criteria were applied (e.g., only cheese pizza and not other varieties of pizza considered an exact match), 60.1% of matches were considered exact, 30.3% were close, and 9.6% were far. Median completion time decreased from 51 minutes among 10 year olds to 33 minutes among 13 year olds. Observation of children during ASA24 completion suggested they were enthusiastic about completing it but many had difficulty navigating the steps independently; this was particularly true for children in grades 5 and 6 compared to those in grades 7 and 8. Overall, this study suggests that supports may be required to help children complete ASA24; this may include the use of the demonstration version to familiarize them with the steps. Support or Funding Information This study was supported by the Public Health Ontario Project Initiation Fund and a Canadian Cancer Society Research Institute Capacity Development Award (grant 702855 held by S. Kirkpatrick). The authors are grateful to collaborators Jess Haines, Paula Robson, Amy Subar, and Michelle Vine, as well as Fei Zuo for assistance with data collection.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,020 | 0,028 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».