Roybal Via Habit Formation (Via Habit)
Automata Modeling Approach to Identify and Pilot-Test Receptive Windows for Physical Activity Habit Formation in Midlife Adults
This pilot study will develop and evaluate ViaHabit, a personalized walking intervention designed to promote physical activity habit formation among sedentary midlife adults (ages 45-65). During an initial 2-week observation period, participants' daily routines will be characterized using data collected from wearable devices, smartphones, and digital calendars. Personalized models will identify routine transitions, defined as periods between everyday activities, that may serve as receptive opportunities for initiating physical activity. Participants will then complete a 4-week intervention in which they create individualized "if-then" action plans linking routine transitions to a 15-minute brisk walk and receive automated smartwatch prompts at selected cue times. The study will assess the feasibility and acceptability of identifying routine transitions and delivering timely physical activity prompts, while exploring changes in walking behavior, habit strength, and physical activity engagement.
Aperçu de l'étude
Statut
Les conditions
Intervention / Traitement
Description détaillée
This pilot study will develop and evaluate ViaHabit, a personalized, cue-based walking intervention designed to promote physical activity habit formation among sedentary midlife adults. The study is based on the premise that routine transitions, defined as periods when one daily activity has ended and another has not yet begun, may represent receptive opportunities for initiating new health behaviors. The long-term goal is to increase physical activity during midlife, a critical period for reducing risk factors associated with cognitive decline and dementia.
The study will enroll approximately 10 adults aged 45 to 65 years who are physically inactive and experience competing work, caregiving, parenting, or other role demands. Participants must own or be willing to use an iPhone-compatible device and be able to walk without assistance.
The study uses a 12-week, single-arm, within-subject design consisting of two phases. During Phase 1 (2-week observation period), participants will use an Apple Watch, smartphone applications, and digital calendar tools to collect multimodal data on daily behavior, including physical activity, location patterns, calendar events, and contextual information. These data will be used to develop individualized computational models of participants' daily routines and identify recurring routine transitions that may serve as effective cues for physical activity initiation.
Following model development, participants will enter Phase 2 (4-week intervention period). In a virtual coaching session, participants will identify up to two routine transitions that can function as cues for walking and will create personalized "if-then" action plans linking those cues to a 15-minute brisk walk. Automated smartwatch notifications will be delivered when the selected routine transitions occur to increase cue salience and support initiation of physical activity. Walking behavior will be continuously monitored through wearable devices.
The primary objectives are to evaluate the feasibility of identifying individualized routine transitions from passive sensing data and the feasibility and acceptability of delivering a personalized, cue-based walking intervention anchored to those transitions. Secondary and exploratory outcomes include adherence to study procedures, walking behavior, cue-triggered behavioral enactment, habit strength, physical activity levels, and cognitive function. Habit strength will be assessed using measures of behavioral automaticity, while cognitive function will be evaluated through mobile cognitive assessments administered during the intervention period.
The findings will inform the development of scalable, data-driven interventions that leverage naturally occurring daily routines to support physical activity habit formation and healthy aging.
Type d'étude
Inscription (Estimé)
Phase
- N'est pas applicable
Contacts et emplacements
Coordonnées de l'étude
- Nom: Shiyu Li, PhD
- Numéro de téléphone: 225-578-0977
- E-mail: sli40@lsu.edu
Sauvegarde des contacts de l'étude
- Nom: Kimberly Allen, MA
- Numéro de téléphone: 225-578-2363
Lieux d'étude
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Louisiana
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Baton Rouge, Louisiana, États-Unis, 70803
- Louisiana State University School of Kinesiology
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Critères de participation
Critère d'éligibilité
Âges éligibles pour étudier
Accepte les volontaires sains
Sexes éligibles pour l'étude
La description
Inclusion Criteria:
- Age 45 to 65 years.
- Reports no leisure-time physical activity during the past month and engages in <400 MET-minutes/week of physical activity as assessed by the IPAQ-Short Form.
- Has competing role demands, defined as ≥10 hours/week of paid work, caregiving, parenting, or volunteer activities.
- Owns an iPhone (iOS smartphone) with reliable internet access and is willing to use study-related mobile applications and wearable devices.
- Able to walk without assistance.
- Uses, or is willing to use, a digital calendar application and share de-identified event timing data with the study team.
- Able to understand study procedures and provide informed consent.
Exclusion Criteria:
- Plans to relocate or engage in extended travel during the next 3 months.
- Pregnant or planning to become pregnant during the study period.
- Currently participating in another physical activity or behavioral intervention study.
- Has a medical condition that may limit safe participation in walking, impair the ability to provide informed consent, or interfere with study adherence.
Plan d'étude
Comment l'étude est-elle conçue ?
Détails de conception
- Objectif principal: La prévention
- Répartition: N / A
- Modèle interventionnel: Affectation à un seul groupe
- Masquage: Aucun (étiquette ouverte)
Armes et Interventions
Groupe de participants / Bras |
Intervention / Traitement |
|---|---|
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Expérimental: ViaHabit Intervention
Participants complete a 2-week observation period during which individualized routine models are developed using wearable, smartphone, and calendar data, followed by a 4-week ViaHabit intervention consisting of routine-transition cue selection, if-then action planning, and automated smartwatch prompts to support initiation of 15-minute brisk walks. |
ViaHabit is a personalized, cue-based walking intervention designed to promote physical activity habit formation in sedentary midlife adults. Following a 2-week observation period, individualized routine models are developed using data collected from wearable devices, smartphones, and digital calendars. Participants then complete a coaching session to identify up to two routine transitions that can serve as cues for physical activity and develop personalized if-then action plans linking each cue to a 15-minute brisk walk. During the 4-week intervention period, automated smartwatch notifications are delivered at the selected routine-transition cues to increase cue salience and support initiation of walking behavior. The intervention aims to strengthen cue-behavior associations through repeated pairing of routine completion cues with walking, thereby increasing behavioral automaticity and physical activity participation. |
Que mesure l'étude ?
Principaux critères de jugement
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
|
Feasibliity of the ViaHabit Intervention - Recruitment
Délai: Week 8 (end of intervention)
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Feasibility will be assessed by participant recruitment rates. |
Week 8 (end of intervention)
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Feasibliity of the ViaHabit Intervention - Retention
Délai: Week 8 (end of intervention)
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Feasibility will be assessed by participant retention rates. |
Week 8 (end of intervention)
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Feasibliity of the ViaHabit Intervention - Data Collection
Délai: Week 8 (end of intervention)
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Feasibility will be assessed by participant completion of Phase 1 data collection. |
Week 8 (end of intervention)
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Mesures de résultats secondaires
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
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Habit Strength for Walking
Délai: Baseline and weekly during the 4 week intervention period through Week 8
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Habit strength will be assessed using the 4-item Self-Reported Behavioral Automaticity Index (SRBAI), adapted to each participant's selected routine-transition cue. Higher scores indicate greater automaticity of walking behavior in response to the cue. |
Baseline and weekly during the 4 week intervention period through Week 8
|
Collaborateurs et enquêteurs
Collaborateurs
Dates d'enregistrement des études
Dates principales de l'étude
Début de l'étude (Estimé)
Achèvement primaire (Estimé)
Achèvement de l'étude (Estimé)
Dates d'inscription aux études
Première soumission
Première soumission répondant aux critères de contrôle qualité
Première publication (Réel)
Mises à jour des dossiers d'étude
Dernière mise à jour publiée (Réel)
Dernière mise à jour soumise répondant aux critères de contrôle qualité
Dernière vérification
Plus d'information
Termes liés à cette étude
Mots clés
Termes MeSH pertinents supplémentaires
Autres numéros d'identification d'étude
- AM260787
- AM260787 (Autre subvention/numéro de financement: University of Michigan Roybal Center)
Plan pour les données individuelles des participants (IPD)
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Informations sur les médicaments et les dispositifs, documents d'étude
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