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mHealth Intervention to Promote Nonexercise Physical Activity in Patients With Type 2 Diabetes: Secondary Analysis
Minna Aittasalo1,2, Kari Tokola1, Henri Vähä-Ypyä1
1The UKK Institute for Health Promotion Research, Tampere, Finland.
JMIR Formative Research
|March 19, 2026
Summary
Mobile health interventions show promise for increasing physical activity in type 2 diabetes patients. While generally feasible and acceptable, technology-based approaches require thorough pretesting for optimal implementation.
Area of Science:
- Health Informatics
- Behavioral Medicine
- Diabetes Management
Background:
- Physical activity (PA) is crucial for type 2 diabetes (T2D) prevention and management.
- Mobile health (mHealth) interventions show potential for PA promotion in T2D.
- Existing mHealth interventions often lack clear behavioral frameworks and detailed implementation reports.
Purpose of the Study:
- To investigate perceived behavior change needs for increasing non-exercise PA in T2D patients.
- To evaluate the implementation, including fidelity and acceptability, of an mHealth intervention for T2D.
Main Methods:
- A 3-arm mHealth intervention was implemented in primary care.
- Perceived behavior change needs were assessed using a modified Capability, Opportunity, Motivation-Behavior (COM-B) questionnaire.
- Implementation was evaluated through fidelity data (counseling logs, cloud computing) and acceptability questionnaires (Likert scale).
Main Results:
- Key behavior change needs were identified in capability (3 items) and motivation (2 items).
- The main intervention arm demonstrated good fidelity (e.g., 96% of face-to-face sessions completed) and acceptability (mean score 3.8-4.8).
- Challenges were noted, particularly with cloud-computed feedback and accelerometer-app integration.
Conclusions:
- The identified behavior change needs warrant further investigation due to a lack of comparable studies.
- The mHealth intervention appears applicable to clinical practice, but technology pretesting is essential.
- Further research is needed on the COM-B model's explanatory value and the questionnaire's psychometric properties.
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