Publisher DOI: 10.20944/preprints202311.0768.v1
Title: A lifestyle app and multiple health behavior change in users : effects of app use and interrelations of behaviors
Language: English
Authors: Lippke, Sonia  
Korte, Luisa 
Anand-Kumar, Vinayak 
Fach, Andreas 
Homoth, Jan 
Oltmann, Claas 
Ratz, Tiara 
Keywords: Cardiovascular diseases (CVDs); non-communicable diseases (NCDs); disease self-management; digital health application; randomized controlled trial; multiple behavior change
Issue Date: 13-Nov-2023
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.
URI: https://hdl.handle.net/20.500.12738/17411
Review status: Only preprints: This version has not yet been reviewed
Institute: Constructor University 
Type: Preprint
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