ArticleBMJ open diabetes research & care2020
Drivers of weight loss in a CDC-recognized digital diabetes prevention program.
Article in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05121844 (Use of Continuous Glucose Monitoring in Non-Diabetic Population to Compliment Signos Mobile Health Platform), which is not on this map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Use of Continuous Glucose Monitoring in Non-Diabetic Population to Compliment Signos Mobile Health Platform: Comprehensive Weight Optimization Program and Customized Lifestyle Modifications
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Self-Monitoring via Digital Health in Weight Loss Interventions: A Systematic Review Among Adults with Overweight or Obesity.Obesity (Silver Spring, Md.) · 2021Pooled it
- A pilot randomized trial of simplified versus standard calorie dietary self-monitoring in a mobile weight loss intervention.Obesity (Silver Spring, Md.) · 2022Trial
- Digitally Supported Lifestyle Intervention to Prevent Type 2 Diabetes Through Healthy Habits: Secondary Analysis of Long-Term User Engagement Trajectories in a Randomized Controlled Trial.Journal of medical Internet research · 2022Trial
- Exploring engagement patterns within a mobile health intervention for women at risk of gestational diabetes.Women's health (London, England)Trial
- Is Demographic Concordance Between Lifestyle Coach and Participant Associated With Participant Retention and Weight Change in the National Diabetes Prevention Program Lifestyle Change Intervention?Journal of diabetes research · 2026Article
- Telehealth Technologies in Diabetes Self-management and Education.Journal of diabetes science and technology · 2024Review
- Weight loss and lifestyle change among high-risk individuals enrolled in a digital diabetes prevention program: A longitudinal study of private and public health insurance members in Western New York.Preventive medicine reports · 2023Article
- Engagement with a nationally-implemented digital behaviour change intervention: Usage patterns over the 9-month duration of the National Health Service Digital Diabetes Prevention Programme.Internet interventions · 2023Article
- Health Coaching for Weight Loss Among Overweight and Obese Individuals in Saudi Arabia: A Retrospective Analysis.Cureus · 2023Article
- Atopic Dermatitis and Water: Is There an Optimum Water Intake Level for Improving Atopic Skin?Children (Basel, Switzerland) · 2023Review
- Retention, Fasting Patterns, and Weight Loss With an Intermittent Fasting App: Large-Scale, 52-Week Observational Study.JMIR mHealth and uHealth · 2022Observational
- What Intervention Elements Drive Weight Loss in Blended-Care Behavior Change Interventions? A Real-World Data Analysis with 25,706 Patients.Nutrients · 2022Article
- Duration of Treatment in a Weight Loss Program Using a Mobile App is Associated with Successful Weight Loss During the COVID-19 Pandemic.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022Article
- Preference, Expected Burden, and Willingness to Use Digital and Traditional Methods to Assess Food and Alcohol Intake.Nutrients · 2021Article
- Can you see me? Participant experience of accessing a weight management programme via group videoconference to overcome barriers to engagement.Health expectations : an international journal of public participation in health care and health policy · 2021Article
- Free-Living Energy Balance Behaviors Are Associated With Greater Weight Loss During a Weight Loss Program.Frontiers in nutrition · 2021Article
- Weight loss in a digital app-based diabetes prevention program powered by artificial intelligence.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionTo investigate the impact of the digital Livongo Diabetes Prevention Program (DPP) on weight at 12 months, understand participants' self-monitoring behaviors associated with greater weight loss, and evaluate the impact of coaching interactions on more frequent self-monitoring behaviors. RESEARCH DESIGN AND
methodsA retrospective analysis was performed using data from 2037 participants enrolled in the Livongo DPP who completed lesson 1 and recorded a starting weight during 2016-2017. Self-monitoring behaviors, including weigh-ins, food logging, activity, and coach-participant interactions, were analyzed at 6 and 12 months. Subgroup analysis was conducted based on those who were highly engaged versus those minimally engaged. Multiple regression analysis was performed using demographic, self-monitoring, and lesson attendance data to determine predictors of weight loss at 12 months and coaching impact on self-monitoring.
resultsParticipants had a mean age of 50 years (SD ±12), with a starting weight of 94 kg (SD ±21), were college-educated (78%), and were female (74%). Overall, participants lost on average 5.1% of their starting weight. Highly engaged participants lost 6.6% of starting body weight, with 25% losing ≥10% at 12 months. Logistic regression analysis showed each submitted food log was associated with 0.23 kg (p<0.05) weight loss, each lesson completed was associated with 0.14 kg (p<0.05) weight loss, and a week of 150 active minutes was associated with 0.1 kg (p<0.01) weight loss. One additional coach-participant message each week was associated with 1.4 more food logs per week, 1.6% increase in weeks with four or more weigh-ins, and a 2.7% increase in weeks with 150 min of activity.
conclusionsFood logging had the largest impact on weight loss, followed by lesson engagement and physical activity. Future studies should examine further opportunities to deliver nutrition-based content to increase and sustain weight loss for DPP.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.