ObjectiveTo evaluate the weight loss efficacy of a novel mobile platform delivering the Diabetes Prevention Program.Research Design and Methods43 overweight or obese adult participants with a diagnosis of prediabetes signed-up to receive a 24-week virtual Diabetes Prevention Program with human coaching, through a mobile platform. Weight loss and engagement were the main outcomes, evaluated by repeated measures analysis of variance, backward regression, and mediation regression.ResultsWeight loss at 16 and 24 weeks was significant, with 56% of starters and 64% of completers losing over 5% body weight. Mean weight loss at 24 weeks was 6.58% in starters and 7.5% in completers. Participants were highly engaged, with 84% of the sample completing 9 lessons or more. In-app actions related to self-monitoring significantly predicted weight loss.ConclusionsOur findings support the effectiveness of a uniquely mobile prediabetes intervention, producing weight loss comparable to studies with high engagement, with potential for scalable population health management.

P wave dispersion (P dispersion), defined as the difference between the maximum and the minimum P wave duration, and maximum P wave duration (P maximum) are electrocardiographic (ECG) markers that have been used to evaluate the discontinuous propagation of sinus impulses and the prolongation of atrial conduction time, respectively. To study the effects of myocardial ischemia on P dispersion and P maximum, 95 patients with coronary artery disease (CAD) and typical angina pectoris and 15 controls with angina like symptoms underwent 12-lead surface ECG during and after the relief of pain. During pain and during the asymptomatic period, P maximum and P dispersion were calculated from the averaged complexes of all 12 leads. P dispersion increased significantly during spontaneous angina (45+/-17 ms) compared to the asymptomatic period (40+/-15 ms), P < 0.001 only in the patient group. Both P maximum and P dispersion showed higher values during angina in those patients who developed diffuse ischemia, as estimated with ST segment changes in multiple ECG leads. P dispersion showed higher values during the anginal episode in patients with left ventricular dysfunction, independently of the presence of a previous myocardial infarction. Atrial conduction abnormalities, as estimated with P maximum and particularly P dispersion, are significantly influenced by myocardial ischemia in patients with CAD and spontaneous angina.

Background The Centers for Disease Control and Prevention (CDC) diabetes prevention program (DPP) has formed the foundation for Type 2 Diabetes Mellitus (T2DM) prevention efforts and lifestyle change modifications in multiple care settings. To our knowledge, no randomized controlled trial has verified the efficacy of a fully mobile version of CDC’s diabetes prevention program (DPP). Objective This study aimed to investigate the long-term weight loss and glycemic efficacy of a mobile-delivered DPP compared with a control group receiving usual medical care. Methods Adults with prediabetes (N=202) were recruited from a clinic and randomized to either a mobile-delivered, coach-guided DPP (Noom) or a control group that received regular medical care including a paper-based DPP curriculum and no formal intervention. The intervention group learned how to use the Noom program, how to interact with their coach, and the importance of maintaining motivation. They had access to an interactive coach-to-participant interface and group messaging, daily challenges for behavior change, DPP-based education articles, food logging, and automated feedback. Primary outcomes included changes in weight and hemoglobin A1c (HbA1c) levels at 6 and 12 months, respectively. Exploratory secondary outcomes included program engagement as a predictor of changes in weight and HbA1c levels. Results A total of 202 participants were recruited and randomized into the intervention (n=101) or control group (n=99). In the intention-to-treat (ITT) analyses, changes in the participants’ weight and BMI were significantly different at 6 months between the intervention and control groups, but there was no difference in HbA1c levels (mean difference 0.004%, SE 0.05; P=.94). Weight and BMI were lower in the intervention group by −2.64 kg (SE 0.71; P<.001) and −0.99 kg/m2 (SE 0.29; P=.001), respectively. These differences persisted at 12 months. However, in the analyses that did not involve ITT, program completers achieved a significant weight loss of 5.6% (SE 0.81; P<.001) at 6 months, maintaining 4.7% (SE 0.88; P<.001) of their weight loss at 12 months. The control group lost −0.15% at 6 months (SE 0.64; P=.85) and gained 0.33% (SE 0.70; P=.63) at 12 months. Those randomized to the intervention group who did not start the program had no meaningful weight or HbA1c level change, similar to the control group. At 1 year, the intervention group showed a 0.23% reduction in HbA1c levels; those who completed the intervention showed a 0.28% reduction. Those assigned to the control group had a 0.16% reduction in HbA1c levels. Conclusions This novel mobile-delivered DPP achieved significant weight loss reductions for up to 1 year compared with usual care. This type of intervention reduces the risk of overt diabetes without the added barriers of in-person interventions. Trial Registration ClinicalTrials.gov NCT03865342; https://clinicaltrials.gov/ct2/show/NCT03865342

Objective Guided self-help treatments based on cognitive-behavior therapy (CBT-GSH) are efficacious for binge eating. With limited availability of CBT-GSH in the community, mobile technology offers a means to increase use of these interventions. The purpose of this study was to test the initial efficacy of Noom Monitor, a smartphone application designed to facilitate CBT-GSH (CBT-GSH+Noom), on study retention, adherence, and eating disorder symptoms compared to traditional CBT-GSH. Method Sixty-six men and women with DSM-5 binge eating disorder (BED) or bulimia nervosa (BN) were randomized to receive 8 sessions of CBT-GSH + Noom (n = 33) or CBT-GSH (n = 33) over 12 weeks. Primary symptom outcomes were Eating Disorder Examination objective bulimic episodes (OBEs), subjective bulimic episodes (SBEs), and compensatory behaviors. Assessments were collected at 0, 4, 8, 12, 24, and 36 weeks. Behavioral outcomes were modeled using zero-inflated negative-binomial latent growth curve models with intent-to-treat. Results There was a significant effect of treatment on change in OBEs (β =−0.84, 95%CI = −1.49, −0.19) favoring CBT-GSH + Noom. Remission rates were not statistically different between treatments for OBEs (βlogit =−0.73, 95%CI = −1.86, 3.27; CBT-GSH + Noom = 17/27, 63.0% vs. CBT-GSH 11/27, 40.7%, NNT = 4.5), but CBT-GSH + Noom participants reported greater meal and snack adherence and regular meal adherence mediated treatment effects on OBEs. The treatments did not differ at the 6-month follow-up. Discussion Smartphone applications for the treatment binge eating appear to have advantages for adherence, a critical component of treatment dissemination.

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