Multi-Centre Randomised Controlled Feasibility Testing of a Physical Activity Micropattern Intervention Among Socioeconomically Diverse Women
Notice bibliographique
Résumé
ABSTRACT Background Most physical activity interventions adopt a one-size-fits-all approach, often developed and tested in higher socioeconomic groups, with little consideration of barriers experienced by women from lower socioeconomic backgrounds. Micropatterns, defined as brief bursts of moderate-to-vigorous incidental physical activity lasting under three minutes, represent a form of everyday movement that requires minimal time, equipment, or planning, making them a promising target for intervention. This randomized controlled study evaluated the feasibility, acceptability and potential effectiveness of a co-designed wearable-based micropatterns intervention aimed at increasing moderate-to-vigorous physical activity (MVPA) among socioeconomically diverse women. Methods A multi-centre, single-blinded, 6-week randomised controlled feasibility study was conducted among women from Sydney, Australia and Glasgow, UK aged ≥30 years who self-reported no leisure time physical activity and could comfortably participate in activities of daily living. To ensure socioeconomic diversity, we used quota-based recruitment with area-level and individual-level indicators of socioeconomic status. Participants were randomised to one of three intervention arms; 1) Smartphone application only (APP); 2) smartphone application combined with a wearable device (Fitbit Inspire 3; W-APP); and 3) smartphone application and wearable device, supplemented by a social community component that included two in-person workshops and online forums (W-APP-C). Feasibility was assessed as completion rates of the study and follow-up surveys were conducted to assess the acceptability of the intervention. Wrist-worn accelerometry was collected at pre- and post-intervention to assess the potential effectiveness of the intervention. Results Forty-three participants (mean age (SD); 54.8 (10.7) years) were recruited across both sites (APP n = 13; W-APP n = 17; W-APP-C n = 13). When taking into consideration individual-level indicators of socioeconomic status including income, number of dependents, and educational attainment, there was diverse representation across low (20.9%), medium (48.8%), and high (30.2%) socioeconomic groups. Completion of the 6-week intervention was high across both intervention sites and all three trial arms (86%). Qualitative feedback from both trial sites indicated high satisfaction, the majority of the participants thought the intervention was enjoyable (97.9%), user-friendly (69.9%), the wearable technology increased motivation to do activity (87.5%), and the community workshops were beneficial (75%). Across all participants, there was an average daily increase of 9.8 (27.8) min/day MVPA following the intervention. The greatest increase in MVPA was observed in the W-APP-C group (15.5 (23.1) min/day), followed by the APP group (11.4 (25.5) min/day), and the W-APP group 2.6 (32.1) min/day. Conclusions This multi-centre randomised controlled feasibility trial highlights the feasibility and acceptability of a wearable-based micropattern intervention in women from socioeconomically and culturally diverse backgrounds.
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 | 0,014 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,001 |
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 ».