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Step by step: promoting daily walking through a mHealth intervention.

Roberta Adorni1, Maria Elide Vanutelli1, Gabriele Damaschi1

  • 1Department of Psychology, University of Milan-Bicocca, Milan, Italy.

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Summary
This summary is machine-generated.

Theory-driven mobile health notifications effectively increase daily step counts. Optimizing notification interactivity is key for sustained engagement and long-term effectiveness in mHealth interventions.

Keywords:
BCTsHAPAbehavioral goal settingmHealthrewardsself-monitoringwalking behavior

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Area of Science:

  • Digital Health
  • Behavioral Science
  • Health Promotion

Background:

  • Mobile health (mHealth) interventions leverage accessible, personalized tools to promote well-being and positive health behaviors.
  • Evidence supporting the effectiveness of mHealth programs requires further investigation.
  • This study evaluates an mHealth protocol based on the Health Action Process Approach (HAPA) to increase daily step counts.

Purpose of the Study:

  • To assess the effectiveness of a mobile health intervention designed to increase daily step counts.
  • To compare the impact of interactive and non-interactive theory-driven notifications on behavior change.
  • To evaluate the role of self-monitoring and goal setting in mHealth interventions.

Main Methods:

  • The study utilized the MyPocketHealth app to deliver a 15-day intervention to 210 participants.
  • Participants were assigned to groups receiving interactive (HAPA-I) or non-interactive (HAPA-NI) notifications, or no communication (No comm), alongside self-monitoring.
  • Intervention groups set personalized or standardized step goals (7,000 daily steps) and received badge awards for goal attainment.

Main Results:

  • The HAPA-NI group exhibited significantly higher dropout rates compared to other conditions.
  • Both HAPA-I and HAPA-NI groups demonstrated sustained increases in daily step counts throughout the intervention.
  • The no-communication group showed an initial increase in step counts that subsequently declined.

Conclusions:

  • Theory-driven notifications are effective in promoting sustained engagement with behavioral goals.
  • Balancing notification frequency and interactivity is crucial for optimizing user engagement in mHealth interventions.
  • The findings highlight the importance of tailored communication strategies for long-term mHealth effectiveness.