Abstract

Lifestyle behaviors across the 24-h spectrum (i.e., sleep, sedentary, and active behaviors) drive metabolic risk. We describe the development and process evaluation of BeWell24, a multicomponent smartphone application (or “app”) that targets behavior change in these interdependent behaviors. A community-embedded iterative design framework was used to develop the app. An 8-week multiphase optimization strategy design study was used to test the initial efficacy of the sleep, sedentary, and exercise components of the app. Process evaluation outcomes included objectively measured app usage statistics (e.g., minutes of usage, self-monitoring patterns), user experience interviews, and satisfaction ratings. Participants (N = 26) logged approximately 60 % of their sleep, sedentary, and exercise behaviors, which took 3–4 min/day to complete. Usage of the sleep and sedentary components peaked at week 2 and remained high throughout the intervention. Exercise component use was low. User experiences were mixed, and overall satisfaction was modest.

Original languageEnglish (US)
Pages (from-to)438-448
Number of pages11
JournalTranslational Behavioral Medicine
Volume6
Issue number3
DOIs
StatePublished - Sep 1 2016

Fingerprint

Veterans
Sleep
Exercise
Life Style
Smartphone
Interviews

Keywords

  • Diabetes
  • Exercise
  • Insomnia
  • mHealth
  • Physical activity
  • Sitting

ASJC Scopus subject areas

  • Behavioral Neuroscience
  • Applied Psychology

Cite this

BeWell24 : development and process evaluation of a smartphone “app” to improve sleep, sedentary, and active behaviors in US Veterans with increased metabolic risk. / Buman, Matthew; Epstein, Dana; Gutierrez, Monica; Herb, Christine; Hollingshead, Kevin; Huberty, Jennifer; Hekler, Eric B.; Vega-Lopez, Sonia; Ohri-Vachaspati, Punam; Hekler, Andrea C.; Baldwin, Carol M.

In: Translational Behavioral Medicine, Vol. 6, No. 3, 01.09.2016, p. 438-448.

Research output: Contribution to journalArticle

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