Urban Care Farming to Enhance Quality of Life Among Older Adults: Protocol for a Waitlist Randomized Trial
Notice bibliographique
Résumé
Background: Population aging poses challenges to health systems and costs, and evidence shows that older adults spend a long time in ill health. Improving healthspan, time spent in good health, allows older adults to contribute and improve in their quality of life. Active and healthy aging are crucial to improving healthspan. Urban care farming (UCF) is a behavioral intervention that is purported to enhance active and healthy aging. Objective: This trial evaluates the effectiveness of a care farming intervention in improving the quality of life and biopsychosocial health outcomes of older participants. Methods: We conducted a parallel group, 2-arm pragmatic waitlist randomized trial with a 1:1 allocation, in which participants were randomized into either the intervention or waitlist control arm. Community-dwelling participants aged 50-85 years, without any mobility issues, were recruited. Participants in the intervention arm commenced the 24-week UCF program, while waitlist control participants received no intervention during this period. The primary (World Health Organization Quality of Life-brief version) and secondary outcomes were collected at baseline, 6th month, and 12th month after the intervention group completed the trial. Secondary outcomes include objectively measured physiological outcomes, cognition, frailty, and self-reported psychosocial outcomes. Intervention effects were estimated using mixed-effects difference-in-differences regression to account for repeated measurements. Results: The randomized controlled trial commenced in April 2024, with the intervention group starting first. By April 2024, we had enrolled 137 participants at commencement, with 67 participants randomized to the intervention group and 70 to the control group. The intervention arm started in April 2024 and concluded in September 2024. Baseline data were collected in March 2024, and 6-month follow-up data were collected in September 2024. The waitlist control participants began the UCF intervention at the end of September 2024 and concluded in April 2025. Data collection for the 12-month follow-up concluded in May 2025. Analysis of the baseline and 6-month follow-up data is still ongoing. Conclusions: The outcomes of this study will contribute to the understanding of UCF on quality of life and health. This trial has potential positive implications for public health, as it utilizes a robust research design and methods to provide empirical insights into the multifaceted health benefits of the multicomponent UCF intervention. This trial could also serve as a model for future intervention research on scalable, community-based programs. Taken together, the UCF content and the outcomes, process, and economic evaluations completed through this study could inform scalable models of the UCF intervention, with potential implications for public health strategies to address health issues related to population aging.
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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 | 0,027 | 0,024 |
| Méta-épidémiologie (sens strict) | 0,006 | 0,003 |
| Méta-épidémiologie (sens large) | 0,011 | 0,007 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,004 | 0,003 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,006 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,086 | 0,013 |
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 ».