Published on October 2015 in JMIR Mhealth Uhealth
The purpose of this study was to evaluate the quality of the most popular dietary weight-loss smartphone apps on the commercial market using comprehensive quality assessment criteria, and to quantify the behavior change techniques (BCTs) incorporated. The quality assessment criteria included accountability, scientific coverage and content accuracy of information relevant to weight management, technology-enhanced features, usability, and incorporation of BCTs. Only Noom, among 28 apps, met all criteria and had the highest score while others were suboptimal in quality. With the limited regulatory oversight around the quality of these types of apps, this evaluation provides clinicians and consumers an informed view of the highest-quality apps in the current popular app pool appropriate for recommendation and uptake.
Published on June 10, 2016 in Obesity Research & Clinical Practice
This study explored whether smartphone applications, can be effectively employed to increase self-monitoring adherence and thereby lead to enhanced weight loss plan adherence and increased weight loss on a random sample of 7633 participants. An average 1.92 BMI points were lost after using Noom for three months, and for every 10% increase in adherence there was a decrease of 2.59 BMI points (β=-1.36kg, SE=.24, p<.001). Results provide preliminary evidence suggesting that smartphone application use is linked to significant short-term weight loss and that this weight loss is associated with adherence.
Published on September 8, 2016 in British Medical Journal
The purpose of this study was to evaluate the weight loss efficacy of a novel mobile platform delivering the Diabetes Prevention Program in 43 overweight or obese adult participants with a diagnosis of prediabetes. Weight loss at 16 and 24 weeks was significant, with most participants losing over 5% body weight. Mean weight loss at 24 weeks was 7.5% in program 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. A uniquely mobile prediabetes intervention can producine weight loss comparable to studies with high engagement, with potential for scalable population health management.
Published in the Journal of Internet Medical Research (JMIR)
This is a follow-up of the study above on results from a 24-week DPP fully mobile pilot intervention, extending previous findings to evaluate weight loss efficacy of core and maintenance DPP interventions at 65 weeks from baseline. At 65 weeks, mean weight loss was 6.15% in starters, 7.36% in completers, and 8.98% in maintenance completers. Participants were highly engaged with 80% of the sample completing 9 lessons or more and 68% completing the maintenance phase. In-app actions related to self-monitoring significantly predicted weight loss. A fully mobile DPP intervention resulted in significant weight loss and high engagement during the maintenance phase, providing evidence for long-term potential as an alternative to in-person DPP by removing many of the barriers associated with in-person and other forms of virtual DPP.
Published on November 7, 2016 in Nature (Scientific Reports)
This is a retrospective cohort study to investigate the effectiveness of a the Noom smartphone app on weight reduction in 35,921 obese or overweight individuals. 77.9% reported a decrease in body weight while they were using the app. Dinner input frequency was the most important factor for successful weight loss (OR=10.69; 95% CI=6.20–19.53; p<0.001), and more frequent input of weight significantly decreased the possibility of experiencing the yo-yo effect (OR=0.59, 95% CI=0.39–0.89; p<0.001). This study demonstrated the clinical utility of an app for successful weight reduction in the majority of the app users; the effects were more significant for individuals who monitored their weight and diet more frequently.
Published on January 20, 2016 in Nature (Scientific Reports)
This study analyzed the effect of weather on intentional weight loss using global-scale data provided by smartphone applications. Through Weather Underground API and the Noom Coach application, we extracted information on weather and body weight for each user located in each of several geographic areas on all login days. Colder temperature, lower dew point, and higher values for wind speed and precipitation were significantly associated with weight loss. There was a direct and independent impact of meteorological conditions on intentional weight loss efforts on a global scale (not only on a local level).
Published on March 24th 2017 in the Journal of Health Communications
This study examines the use of a mobile application for weight loss to elucidate the ways in which it can help individuals (N = 384) harness the power of self-efficacy and group support to enact behavior change and accomplish their health goals. The results demonstrated that (a) self-efficacy had a positive impact on persistent food logging in a mobile application; (b) social support received from a mobile group was positively associated with food logging and group participation; and (c) both food logging and group participation predicted weight loss success. Extending these findings, this study suggests theoretical and practical implications for designing individually tailored and evidence-based health intervention strategies using advanced mobile technologies
Published at Nature’s Journal of Human Hypertension on October 2017
The main objective of this study is to evaluate the efficacy of Noom’s Prehypertension program delivery through a mobile platform with human coaching in 50 adults with prehypertension measured by change in hypertension diagnostic category at the end of 24 weeks. Weight loss, diastolic and systolic blood pressure, and hypertension category reduction were significant, especially for program completers. Results show short-term potential to reduce risk of hypertension, supporting the need for longer studies to investigate the use of mHealth lifestyle modification to reduce the risk of hypertension, a public health priority.
Complementary Support from Facilitators and Peers for Promoting mHealth Engagement and Weight Loss.
Published at J Health Commun. On November 2017
This study investigates the effects of Noom interventions on sustainable behavior change and weight loss, drawing on in-app user activity data and online survey data. Specifically, it focuses on the interactions within mobile support groups to delve into how social support from facilitators and peers may play differential roles in promoting health outcomes. The findings suggest that the complementary influences of facilitators and peers must be considered to enhance the efficacy of support group interventions.
Published in the International Journal of Eating Disorders
This study reports findings from a randomized, double-blind study examining the efficacy of Noom Monitor. Monitor is utilized in combination with the guided self-help version of cognitive-behavior therapy (CBT-GSH) in a brief 8-session highly scalable treatment aimed at reducing binge eating. Moreover, CBT-GSH is a cost-effective empirically supported treatment that has been demonstrated to reduce total healthcare costs. Findings support that the Noom Monitor group demonstrated significantly less binges and purges throughout the study. Moreover, adherence of the Noom group was more than double that of control. Patients also reported high satisfaction with the mobile application’s ease of use.
Published in Metabolic Syndrome and Related Disorders
We investigated the efficacy of a smartphone intervention using a designated app that utilizes a lifestyle intervention-focused approach, including a human coaching element, toward weight loss in 104 overweight or obese Korean adults. Participants showed clinically significant weight loss of –7.5% at the end of the 15-week program (P < 0.001), and at a 52-week follow-up, weight loss of –5.2% was maintained. At 15 weeks, percent body fat, visceral fat, and fasting glucose level significantly decreased. Lipid parameters showed significant improvements, except for high-density lipoprotein-cholesterol. The frequency of logging meals and exercise was associated with body fat loss. This advanced smartphone app was a useful tool to maintain weight loss and accompanying metabolic benefits in overweight or obese people.