scholarly journals A Self-Regulation–Based eHealth and mHealth Intervention for an Active Lifestyle in Adults With Type 2 Diabetes: Protocol for a Randomized Controlled Trial (Preprint)

2018 ◽  
Author(s):  
Louise Poppe ◽  
Ilse De Bourdeaudhuij ◽  
Maïté Verloigne ◽  
Laurent Degroote ◽  
Samyah Shadid ◽  
...  

BACKGROUND Adoption of an active lifestyle plays an important role in the management of type 2 diabetes. Online interventions targeting lifestyle changes in adults with type 2 diabetes have provided mixed results. Previous research highlights the importance of creating theory-based interventions adapted to the population’s specific needs. The online intervention “MyPlan 2.0” targets physical activity and sedentary behavior in adults with type 2 diabetes. This intervention is grounded in the self-regulation framework and, by incorporating the feedback of users with type 2 diabetes, iteratively adapted to its target population. OBJECTIVE The aim of this paper is to thoroughly describe “MyPlan 2.0” and the study protocol that will be used to test the effectiveness of this intervention to alter patients’ levels of physical activity and sedentary behavior. METHODS A two-arm superiority randomized controlled trial will be performed. Physical activity and sedentary behavior will be measured using accelerometers and questionnaires. Furthermore, using questionnaires and diaries, patients’ stressors and personal determinants for change will be explored in depth. To evaluate the primary outcomes of the intervention, multilevel analyses will be conducted. RESULTS The randomized controlled trial started in January 2018. As participants can start at different moments, we aim to finish all testing by July 2019. CONCLUSIONS This study will increase our understanding about whether and how a theory-based online intervention can help adults with type 2 diabetes increase their level of physical activity and decrease their sedentary time. INTERNATIONAL REGISTERED REPOR DERR1-10.2196/12413

10.2196/12413 ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. e12413 ◽  
Author(s):  
Louise Poppe ◽  
Ilse De Bourdeaudhuij ◽  
Maïté Verloigne ◽  
Laurent Degroote ◽  
Samyah Shadid ◽  
...  

10.2196/14180 ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. e14180 ◽  
Author(s):  
Michael Fortunato ◽  
Joseph Harrison ◽  
Ai Leen Oon ◽  
Dylan Small ◽  
Victoria Hilbert ◽  
...  

Background Type 2 diabetes is a significant cause of morbidity and mortality in the United States. Lifestyle modifications including increasing physical activity and losing weight have been demonstrated to improve glycemic control. However, most patients struggle to make these changes. Many stakeholders are interested in using gamification and social incentives to increase engagement in healthy behaviors. However, these approaches often do not appropriately leverage insights from behavioral economics that could be used to address predictable barriers to behavior change. Objective This study aimed to describe the protocol for the Influencing DIabetics to Adapt Behaviors related to Exercise and weighT by Enhancing Social incentives (iDiabetes) trial, which aimed to evaluate the effectiveness of gamification interventions that leverage insights from behavioral economics to enhance supportive, competitive, or collaborative social incentives to improve glycemic control, promote weight loss, and increase physical activity among overweight and obese adults with type 2 diabetes. Methods We are conducting a one-year four-arm randomized controlled trial of 361 overweight and obese patients with type 2 diabetes and a glycated hemoglobin (HbA1c) level ≥8.0. Wireless weight scales and wearable devices are provided to remotely monitor weight and physical activity and transmit data to the study team. Patients are recruited by email, following which they establish a baseline measure of weight, daily step count, HbA1c level, and low-density lipoprotein cholesterol level and then repeat these measures at 6 and 12 months. The control arm receives no other interventions. Patients randomized to one of the three intervention arms are entered into a game designed using insights from behavioral economics to enhance supportive, competitive, or collaborative social incentives. To examine predictors of strong or poor performance, participants completed validated questionnaires on a range of areas including their personality, risk preferences, and social network. Results Enrollment of 361 patients was completed in January 2019. Results are expected in 2020. Conclusions The iDiabetes trial represents a scalable model to remotely monitor the daily health behaviors of adults with type 2 diabetes. Results from this trial will help provide insights into how to improve management of patients with type 2 diabetes. Trial Registration ClinicalTrials.gov NCT02961192; https://clinicaltrials.gov/ct2/show/NCT02961192 International Registered Report Identifier (IRRID) DERR1-10.2196/14180


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