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The purpose of this study is to inform the integration of mobile and social media components into larger interventions aimed at increasing adherence and maintenance of physical activity. Nearly half of the US population do not meet physical activity recommendations of ≥150 minutes of moderate activity per week. The use of smartphones to "self track" data and upload that data to an online social network is becoming increasingly common and may be an effective way to motivate physical activity adherence and maintenance. We are proposing a two phase study to develop and evaluate a mobile health ("mHealth") intervention that includes the use of two existing technologies: 1) the RunKeeper mobile app to collect and upload exercise data (distance, pace, time), and 2) the RunKeeper.com online social network as a place to analyze uploaded data and engage with a coach and online community. Phase 1 (n=10) will iteratively develop the mHealth intervention and phase 2 (n=30) will pilot the mHealth intervention (participants will be randomized to either mHealth intervention (n=20) or control (n=10)) to collect feasibility, acceptability and preliminary efficacy data. All participants will attend a day-long ChiWalk/Run training to help them avoid potential injuries and meet their coach and community in-person. All participants will also be asked to wear a FitBit accelerometer from one week before the beginning of the intervention through one week after the end of the intervention to collect total physical activity data. This data will be uploaded automatically to the study data base. Primary outcomes will be total physical activity as collected by the FitBit accelerometer (and the RunKeeper mobile app for the intervention group) and secondary outcomes will be changes in psychological factors that may mediate adherence to physical activity.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control | Active Comparator | ChiRunning training Weekly training log Blinded accelerometer |
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| Technology support for behavior change | Experimental | ChiRunning training unblinded accelerometer tracking structured exercise using mobile app participation in online social network participation in study website |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| ChiRunning training | Behavioral |
| ||
| unblinded accelerometer |
| Measure | Description | Time Frame |
|---|---|---|
| Feasibility of recruitment | Meeting 75% of recruitment goal of 40 participants | End of 8 weeks of recruitment |
| Feasibility of retention | Retaining 75% of enrolled participants. | End of 10 weeks of participation |
| Feasibility for participant adherence | Whether participants complete at least 75% of the exercise that they committed to at the beginning of the study. | Measured through out the 10 weeks of active participation |
| Acceptability of study procedures | Did participants find study procedures acceptable? | End of 10 weeks of active participation |
| Measure | Description | Time Frame |
|---|---|---|
| Total number of new exercise related injury | Measure of pain or injury associated with structured exercise. | Measured through out the 10 weeks of active participation |
| Average weekly physical activity in steps |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Kelly McDermott, PhD | University of California, San Francisco | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Osher Center for Integrative Medicine | San Francisco | California | 94115 | United States |
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| Behavioral |
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| participation in online social network | Behavioral |
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| participation in study website | Behavioral |
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| Technology support for behavior change | Behavioral |
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Daily step measured using a digital accelerometer.
| Measured through out the 10 weeks of active participation |
| Average weekly MET min of structured exercise | Average weekly metabolic equivalent of task (MET) minutes are a measure of time and intensity of physical activity. | Measured through out the 10 weeks of active participation |
| Change in mindfulness | We will use the Five Factor Mindfulness Questionnaire (FFMQ) to assess changes in mindfulness. FFMQ is a 39-item questionnaire with five subscales (observing, describing, acting with awareness, non-judging of inner experience, and non-reactivity to inner experience) and a summary score ranging from 39 to 195. Internal consistencies range from α=0.75-0.91. | Baseline and end of 10 weeks of active participation |
| Change in body awareness | We used the Multi-dimensional Assessment of Interoceptive Awareness (MAIA) to measure body awareness. MAIA is a 32-item questionnaire with eight separately scored scales. .We used 3 of the 8 scales most relevant for an exercise intervention to assess body awareness. The subscales we used were: 1) Self-Regulation: ability to regulate distress by attention to body sensations; 2) Body Listening: active listening to the body for insight; 3) Trusting: experience of one's body as safe and trustworthy. Scales range from 0-5 with higher numbers representing higher aspects of body awareness with internal consistencies of α=0.83; 0.82; 0.79 on the Self-Regulation, Body Listening, and Trusting subscales, respectively. | Baseline and end of 10 weeks of active participation |
| Change in exercise self efficacy | We will be using Multidimensional Self-Efficacy for Exercise Scale (MSES) to assess exercise related self efficacy. MSES is a 9-item instrument used to assess three dimension of exercise related self efficacy (task, scheduling and coping). | Baseline and end of 10 weeks of active participation |
| Change in social support | We will use the Social support and exercise survey (SSES) to assess social support. SSES is 26 item survey of social support for exercise available to the individual using separate (13 item) scales each for friends and for family. | Baseline and end of 10 weeks of active participation |
| ID | Term |
|---|---|
| D057185 | Sedentary Behavior |
| D009043 | Motor Activity |
| ID | Term |
|---|---|
| D001519 | Behavior |
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