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Applying Sequence Analysis to Explore Real-World Usage Patterns in the 10,000 Steps Digital Physical Activity
Yanshu Huang1, Danielle Taylor1, Matthias Kubler1
1Institute for Social Science Research, The University of Queensland, St Lucia, QLD, Australia.
Journal of Physical Activity & Health
|May 29, 2026
Summary
Digital health programs like 10,000 Steps show varied engagement. Medium/long-term use depends on program features and device integration, influencing physical activity impact.
Area of Science:
- Digital Health
- Behavioral Science
- Physical Activity Promotion
Background:
- Digital health programs can improve physical activity, but sustained engagement is key for long-term behavioral impact.
- Examining engagement and disengagement patterns is crucial for optimizing digital health interventions.
Purpose of the Study:
- To analyze medium/long-term engagement and disengagement patterns within the 10,000 Steps digital health program.
- To identify user subgroups and correlates associated with different engagement levels over time.
Main Methods:
- Utilized sequence analysis to track program usage patterns over seven years (2018-2024) in Australian adults.
- Employed logistic regression to determine demographic and program-related factors linked to user engagement subgroups.
Main Results:
- Most users exhibited short-term engagement; however, two distinct groups demonstrated longer-term use.
- One subgroup (7.1%) engaged intermittently, influenced by health professional referrals, family/friend recommendations, and participation in Tournaments or use of Fitbit/website.
- A consistent, low-inactivity group (4.5%) favored individual Challenges, Tournaments, and specific devices like Garmin or the Google app.
Conclusions:
- Medium/long-term engagement in the 10,000 Steps program is not uniform but varies significantly.
- Engagement levels are influenced by the specific program features utilized and the type of wearable devices integrated.
