Version 1
: Received: 11 November 2023 / Approved: 13 November 2023 / Online: 13 November 2023 (08:49:15 CET)
How to cite:
Lippke, S.; Korte, L.; Kumar, V.A.; Fach, A.; Homoth, J.; Oltmann, C.; Ratz, T. A Lifestyle App and Multiple Health Behavior Change in Users: Effects of App Use and Interrelations of Behaviors. Preprints2023, 2023110768. https://doi.org/10.20944/preprints202311.0768.v1
Lippke, S.; Korte, L.; Kumar, V.A.; Fach, A.; Homoth, J.; Oltmann, C.; Ratz, T. A Lifestyle App and Multiple Health Behavior Change in Users: Effects of App Use and Interrelations of Behaviors. Preprints 2023, 2023110768. https://doi.org/10.20944/preprints202311.0768.v1
Lippke, S.; Korte, L.; Kumar, V.A.; Fach, A.; Homoth, J.; Oltmann, C.; Ratz, T. A Lifestyle App and Multiple Health Behavior Change in Users: Effects of App Use and Interrelations of Behaviors. Preprints2023, 2023110768. https://doi.org/10.20944/preprints202311.0768.v1
APA Style
Lippke, S., Korte, L., Kumar, V.A., Fach, A., Homoth, J., Oltmann, C., & Ratz, T. (2023). A Lifestyle App and Multiple Health Behavior Change in Users: Effects of App Use and Interrelations of Behaviors. Preprints. https://doi.org/10.20944/preprints202311.0768.v1
Chicago/Turabian Style
Lippke, S., Claas Oltmann and Tiara Ratz. 2023 "A Lifestyle App and Multiple Health Behavior Change in Users: Effects of App Use and Interrelations of Behaviors" Preprints. https://doi.org/10.20944/preprints202311.0768.v1
Abstract
(1) Background: Prevention of acute cardiovascular events in patients with cardiovascular diseases (CVDs) requires promoting health-protective behaviors (e.g., physical activity) and preventing health-compromising behaviors (sitting). Digital health interventions provide much potential. Based on multiple behavioral change theory, an intervention (reCardial app) was evaluated, and the following hypotheses were tested: H1: Health behaviors (physical activity, sitting) and disease self-management (self-care maintenance, self-care confidence) are closely interrelated. H2: Change in health behaviors and disease self-management indicators over time is more pronounced in reCardial app-users. H3: In the intervention group, changes in systolic and diastolic blood pressure indicate a positive trajectory. (2) Methods: A study with the design of a randomized controlled trial over 12 weeks was conducted. 40 CVD-patients were randomized equally to the Intervention Group (35% women; Mage=60.6years) and Control Group (45% women; Mage=61.5years). (3) Results: Findings support H1 with significant correlations between health behaviors (r=0.45-0.63**), and disease self-management (r=-0.32-0.54**), H2 with Eta²=0.21 (not statistically significant) and H3 partially with d=0.101 for systolic blood pressure but not regarding diastolic blood pressure. (4) Conclusions: Replications are needed with larger samples and more objective measures. The app can help prevent and manage CVD by means of promoting health-protective behaviors and preventing health-compromising behaviors. Taking different behaviors into account can increase intervention effects and with that support of users.
Keywords
Cardiovascular diseases (CVDs); non-communicable diseases (NCDs); disease self-management; digital health application; randomized controlled trial; multiple behavior change
Subject
Public Health and Healthcare, Public Health and Health Services
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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