Autor: |
Damschroder, Laura J, Buis, Lorraine R, McCant, Felicia A, Kim, Hyungjin Myra, Evans, Richard, Oddone, Eugene Z, Bastian, Lori A, Hooks, Gwendolyn, Kadri, Reema, White-Clark, Courtney, Richardson, Caroline R, Gierisch, Jennifer M |
Jazyk: |
angličtina |
Rok vydání: |
2020 |
Předmět: |
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Zdroj: |
Journal of Medical Internet Research, Vol 22, Iss 8, p e19216 (2020) |
Druh dokumentu: |
article |
ISSN: |
1438-8871 |
DOI: |
10.2196/19216 |
Popis: |
BackgroundThough maintaining physical conditioning and a healthy weight are requirements of active military duty, many US veterans lose conditioning and rapidly gain weight after discharge from active duty service. Mobile health (mHealth) interventions using wearable devices are appealing to users and can be effective especially with personalized coaching support. We developed Stay Strong, a mobile app tailored to US veterans, to promote physical activity using a wrist-worn physical activity tracker, a Bluetooth-enabled scale, and an app-based dashboard. We tested whether adding personalized coaching components (Stay Strong+Coaching) would improve physical activity compared to Stay Strong alone. ObjectiveThe goal of this study is to compare 12-month outcomes from Stay Strong alone versus Stay Strong+Coaching. MethodsParticipants (n=357) were recruited from a national random sample of US veterans of recent wars and randomly assigned to the Stay Strong app alone (n=179) or Stay Strong+Coaching (n=178); both programs lasted 12 months. Personalized coaching components for Stay Strong+Coaching comprised of automated in-app motivational messages (3 per week), telephone-based human health coaching (up to 3 calls), and personalized weekly goal setting. All aspects of the enrollment process and program delivery were accomplished virtually for both groups, except for the telephone-based coaching. The primary outcome was change in physical activity at 12 months postbaseline, measured by average weekly Active Minutes, captured by the Fitbit Charge 2 device. Secondary outcomes included changes in step counts, weight, and patient activation. ResultsThe average age of participants was 39.8 (SD 8.7) years, and 25.2% (90/357) were female. Active Minutes decreased from baseline to 12 months for both groups (P |
Databáze: |
Directory of Open Access Journals |
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