An investigation of a novel milk allergy-friendly food supplement program
Notice bibliographique
Résumé
Introduction: Compared to households not managing food allergy, households managing food allergy are faced with greater direct and indirect costs. To address these cost burdens, we developed and piloted a milk allergy-friendly food supplement program for lower- and middle-income households managing a dairy allergy in a child age <6 years. Herein, we aimed to evaluate to the impact of this program on food costs, food security, and caregiver mental health using a longitudinal design. Methods: Participants living in or near the city of Winnipeg, in Manitoba, Canada were recruited from January to February 2022 via social media, word-of-mouth, and a database maintained by the principal investigator. Consenting participants took part in a 6-month allergen-friendly food supplement program that provided them with biweekly deliveries of allergen-friendly foods free of charge. To evaluate the impact of the program on food costs, food security, and well-being, participants completed a series of questionnaires at baseline, mid-point, and at the end of the program. Changes in these variables were assessed via a series of Friedman tests. Results: The final sample was comprised of 8 households. Relative to baseline, participants reported higher total direct food costs at midpoint (+5.6%) and endpoint (+13.5%), but these changes did not reach statistical significance. In contrast, total indirect food costs decreased over the course of the study relative to baseline (midpoint = -28.2%; endpoint = -18.5%), but the changes were not found to be statistically significant. Participants did, however, report a statistically significant decrease in costs related to lost time from work or school as a result of their child's food allergy at endpoint relative to baseline (-100%). Few changes in food security, caregiver well-being, or child food allergy quality of life were noted. Discussion: The provision of allergen-friendly foods helped keep grocery costs below the pace of inflation. Participants also reported reduced costs associated with missed time from work or school as a result of their child's food allergy. Despite these encouraging findings, a relatively high proportion of the current sample reported experiencing food insecurity throughout the study period, suggesting that additional financial support for families is needed.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».