Cluster Randomized Controlled Trial to Promote Physical Activity Among Low-Resourced Mothers in New York City: Protocol for the Free Time for Wellness Effectiveness Trial
Notice bibliographique
Résumé
BACKGROUND: Physical inactivity is pervasive and prevalent in the United States, particularly among women of low socioeconomic position and women with children. Structural and social barriers make active leisure time a rare commodity, creating a pressing health issue because physical inactivity increases the risk of chronic diseases and poor health. OBJECTIVE: The broad objective of this study is to test the effectiveness of Free Time for Wellness, a multilevel intervention to increase physical activity among low-resourced mothers. METHODS: This study comprises a 3-arm parallel cluster randomized controlled trial (RCT) with low-resourced mothers living in New York City. We will randomize fitness class sites (clusters) into arm A (contact control), receipt of free weekly fitness classes; arm B, receipt of free childcare combined with free weekly fitness classes; and arm C, receipt of free childcare combined with free weekly fitness classes and peer support activities. Over 2 years, we will recruit a pilot wave followed by 7 additional waves, totaling 720 participants into 24 fitness classes. Physical activity is the primary outcome, measured using accelerometers, but secondary outcomes also include physical activity assessed using a self-reported questionnaire and attendance data. We will assess additional secondary outcomes (eg, health status, depression, and anxiety) and mediators or moderators (eg, social support and cohesion) with a baseline and follow-up questionnaire. The intention-to-treat analysis will use linear mixed-effects models to assess the main intervention effects on physical activity outcomes and other secondary outcomes. Ethnographic methods will examine how intersecting forms of social identity shape women's experiences of physical activity and understand how real-world conditions shape the intervention implementation. RESULTS: The study received funding from the US National Institute of Health, covering the period of time from April 1, 2023, through March 31, 2028. We received initial institutional review board approval in August 2023. The study is active and recruiting participants. As of the day of manuscript submission, we have enrolled 471 participants. Data collection is anticipated to occur until September 2026 for primary completion. The estimated study completion date is December 2026. Dissemination of the results will take place with participants, community members, partners, and researchers through methods such as reports, websites, events, and academic publications and conferences. CONCLUSIONS: This cluster RCT tests whether access to childcare (an understudied structural barrier) and social support can increase physical activity. The study design and outcomes integrate ethnographic methods with a cluster RCT to better understand mechanisms and the impact of intersecting factors such as race or ethnicity, culture, gender, and socioeconomic position. The study leverages widely accessible, existing resources to promote physical activity and foster social support with the ultimate goal of assessing the effect of childcare access on parental health. TRIAL REGISTRATION: ClinicalTrials.gov NCT06654843; https://clinicaltrials.gov/study/NCT06654843. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/71381.
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 | 0,019 | 0,022 |
| Méta-épidémiologie (sens strict) | 0,006 | 0,002 |
| Méta-épidémiologie (sens large) | 0,010 | 0,004 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,006 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,074 | 0,009 |
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 ».