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Changes in Health-Promoting Behaviors and Their Association with Weight Loss, Retention, and Engagement on a Digital
Heather Behr1, Sydney Earl2, Annabell Suh Ho3
1Department of Integrative Health, Saybrook University, 55 W Eureka St., Pasadena, CA 91103, USA.
Nutrients
|November 26, 2022
Summary
A mobile weight management program improved health behaviors and weight loss over 12 months. Enhanced health-promoting lifestyle behaviors (HPLP-II) predicted better program retention and engagement in a digital setting.
Area of Science:
- Behavioral Science
- Digital Health
- Weight Management
Background:
- Health-promoting lifestyle behaviors are linked to reduced mortality and improved well-being.
- The impact of digital weight management programs on a broad range of health behaviors remains unclear.
- Self-management in digital health requires understanding behavior change dynamics.
Purpose of the Study:
- To examine changes in health-promoting behaviors over 12 months in a digital weight management program.
- To investigate the association between health-promoting behaviors and weight loss, retention, and engagement.
- To assess the efficacy of a mobile, CBT-based, nutritionally focused program.
Main Methods:
- A 12-month mobile, CBT-based weight management program was used.
- Participants (n=242) self-enrolled and utilized a virtual human coach.
- Health-promoting lifestyle behaviors (HPLP-II) and weight loss were measured at baseline, 6, and 12 months.
Main Results:
- Participants achieved significant weight loss (mean 6.7 kg).
- Overall health-promoting lifestyle behaviors (HPLP-II scores) significantly improved from baseline to 12 months.
- Improved health behaviors at 6 months predicted higher retention and engagement.
Conclusions:
- A fully digital, mobile weight management intervention can enhance health-promoting lifestyle behaviors.
- Improved health behaviors are associated with better retention and engagement in digital programs.
- Digital weight management programs have comprehensive effects beyond weight loss, especially in self-managed settings.
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