0
selected
-
1.
A 2.5-Year Weight Management Program Using Noom Health: Protocol for a Randomized Controlled Trial.
Sysko, R, Bibeau, J, Boyar, A, Costello, K, Michaelides, A, Mitchell, ES, Susanin, A, Hildebrandt, T
JMIR research protocols. 2022;(8):e37541
Abstract
BACKGROUND Overweight and obesity are serious public health concerns. As the prevalence of excess weight among individuals continues to increase, there is a parallel need for inexpensive, highly accessible, and evidence-based weight loss programs. OBJECTIVE This weight loss trial will aim to examine the efficacy of the Noom weight loss program in comparison to a digital control after a 6-month intervention phase and a 24-month maintenance phase, with assessments continuing for 2 years beyond the intervention (to 30 months-after the baseline). The secondary outcomes include quality of life, psychosocial functioning, sleep quality, physical activity, diet, and health status. This trial will also examine the severity of obesity-related functional impairment, weight loss history, and demographic moderators, along with adherence and self-efficacy as mediators of the outcome. METHODS A total of 600 participants were randomized in a parallel-group, controlled trial to either Noom Healthy Weight Program (intervention) or Noom Healthy Weight Control (control) for a 6-month intervention. Both intervention and control groups include diet and exercise recommendations, educational content, daily logging capabilities, and daily weigh-in entries. The Noom Healthy Weight Program also includes a coach support for weight loss. Remote follow-up assessments of eating, physical activity, psychosocial factors, app use data, and weight will be conducted at 1, 4, 6, 12, 18, 24, and 30 months after baseline. Weight is measured at each follow-up point during a Zoom call using the participants' scales. RESULTS Enrollment began in March 2021 and the 6-month intervention phase ended in March 2022. Data collection for the final assessment will be completed in March 2024. CONCLUSIONS This study tests commercially available digital lifestyle interventions for individuals with overweight and obesity seeking weight loss support. Data obtained from the study will evaluate whether the Noom Healthy Weight Control Program can help individuals overcome weight loss, achieve long-term maintenance, adhere to lifestyle changes, and feature use barriers that are present in other traditional weight loss treatments. TRIAL REGISTRATION ClinicalTrials.gov NCT04797169; https://clinicaltrials.gov/ct2/show/NCT04797169. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/37541.
-
2.
An Initial Test of the Efficacy of a Digital Health Intervention for Bariatric Surgery Candidates.
Sysko, R, Michaelides, A, Costello, K, Herron, DM, Hildebrandt, T
Obesity surgery. 2022;(11):3641-3649
-
-
Free full text
-
Abstract
BACKGROUND Rigorous research on smartphone apps for individuals pursuing bariatric surgery is limited. A digital health intervention was recently developed using standard behavioral weight loss programs with specific modifications for bariatric surgery. The current study evaluated this intervention for improving diet, exercise, and psychosocial health over 8 weeks prior to surgery in an academic medical center. METHODS Fifty patients were randomized to receive either the digital intervention or treatment as usual prior to a surgical procedure. Measures of anxiety, depression, stress, quality of life, physical activity, and diet were administered at baseline and at 8-week follow-up. Statistical power of 80% estimated for N = 50 to detect ES = 0.68 with alpha = 0.05. RESULTS Results of intent-to-treat (N = 50 baseline, N = 36 follow-up) analyses indicated significant moderate differences in stress and anxiety (ES = - 0.58 to - 0.62) favoring the digital intervention. Effects of the program on total daily calories consumed, body mass index, quality of life, and eating disorder symptoms were small (ES = - 0.24 to 0.33) and not significant. Given small effects for these domains, the sample size of the study likely affected the ability to detect significant differences. CONCLUSIONS The digital health intervention appears to significantly impact several measures of physical activity and emotional functioning in candidates for bariatric surgery, which could augment surgical outcomes.
-
3.
Self-Reported Nutritional Factors Are Associated with Weight Loss at 18 Months in a Self-Managed Commercial Program with Food Categorization System: Observational Study.
Mitchell, ES, Yang, Q, Ho, AS, Behr, H, May, CN, DeLuca, L, Michaelides, A
Nutrients. 2021;(5)
Abstract
Little is known about nutritional factors during weight loss on digital commercial weight loss programs. We examined how nutritional factors relate to weight loss for individuals after 4 and 18 months on a mobile commercial program with a food categorization system based on energy density (Noom). This is a two-part (retrospective and cross-sectional) cohort study. Two time points were used for analysis: 4 months and 18 months. For 4-month analyses, current Noom users who met inclusion criteria (n = 9880) were split into 5% or more body weight loss and stable weight loss (0 ± 1%) groups. Individuals who fell into one of these groups were analyzed at 4 months (n = 3261). For 18-month analyses, individuals from 4-month analyses who were still on Noom 18 months later were invited to take a one-time survey (n = 803). At 18 months 148 participants were analyzed. Noom has a system categorizing foods as low-, medium-, and high-energy-dense. Measures were self-reported proportions of low-, medium-, and high-energy-dense foods, and self-reported nutritional factors (fruit and vegetable intake, dietary quality, nutrition knowledge, and food choice). Nutritional factors were derived from validated survey measures, and food choice from a novel validated computerized task in which participants chose a food they would want to eat right now. ANOVAs compared participants with 5% or more body weight loss and participants with stable weight (0 ± 1%) at 4 months on energy density proportions. Analyses at 18 months compared nutritional factors across participants with >10% (high weight loss), 5-10% (moderate weight loss), and less than 5% body weight loss (low weight loss), and then assessed associations between nutritional factors and weight loss. Individuals with greater weight loss reported consuming higher proportions of low-energy-dense foods and lower proportions of high-energy-dense foods than individuals with less weight loss at 4 months and 18 months (all ps < 0.02). Individuals with greater weight loss had higher fruit and vegetable intake (p = 0.03), dietary quality (p = 0.02), nutrition knowledge (p < 0.001), and healthier food choice (p = 0.003) at 18 months. Only nutrition knowledge and food choice were associated with weight loss at 18 months (B = -19.44, 95% CI: -33.19 to -5.69, p = 0.006; B = -5.49, 95% CI: -8.87 to -2.11, p = 0.002, respectively). Our results highlight the potential influence of nutrition knowledge and food choice in weight loss on a self-managed commercial program. We also found for the first time that in-the-moment inclination towards food even when just depicted is associated with long-term weight loss.
-
4.
Relationship Between Age and Weight Loss in Noom: Quasi-Experimental Study.
DeLuca, L, Toro-Ramos, T, Michaelides, A, Seng, E, Swencionis, C
JMIR diabetes. 2020;(2):e18363
Abstract
BACKGROUND The prevalence of obesity and diabetes among middle-aged and older adults is on the rise, and with an increase in the world population of adults aged 60 years and older, the demand for health interventions across age groups is growing. Noom is an mHealth behavior change lifestyle intervention that provides users with tracking features for food and exercise logging and weighing-in as well as access to a virtual 1:1 behavior change coach, support group, and daily curriculum that includes diet-, exercise-, and psychology-based content. Limited research has observed the effect of age on a mobile health (mHealth) lifestyle intervention. OBJECTIVE The goal of the research was to analyze engagement of middle-aged and older adults using a mobile lifestyle or diabetes prevention intervention. METHODS A total of 14,767 adults (aged 35 to 85 years) received one of two curricula via an mHealth intervention in a quasi-experimental study: the Healthy Weight program (HW) by Noom (84%) or the Noom-developed Diabetes Prevention Program (DPP), recognized by the US Centers for Disease Control and Prevention (CDC). The main outcome measure was weight over time, observed at baseline and weeks 16 and 52. RESULTS Linear mixed modeling found age to be a significant predictor of weight at week 16 (F2,1398.4=9.20; P<.001; baseline vs week 16: β=-.12, 95% CI -0.18 to -0.07), suggesting that as age increases by 1 year, weight decreased by 0.12 kg. An interaction between engagement and age was also found at week 52 (F1,14680.51=6.70; P=.01) such that engagement was more strongly associated with weight for younger versus older adults (age × engagement: β=.02, 95% CI 0.01 to 0.04). HW users lost 6.24 (SD 6.73) kg or 5.2% of their body weight and DPP users lost 5.66 (SD 7.16) kg or 8.1% of their body weight at week 52, meeting the CDC standards for weight loss effects on health. CONCLUSIONS Age and engagement are significant predictors of weight. Older adults lost more weight using an mHealth evidence-based lifestyle intervention compared with younger adults, despite their engagement. These preliminary findings suggest further clinical implications for adapting the program to older adults' needs.
-
5.
Effectiveness of a Smartphone Application for the Management of Metabolic Syndrome Components Focusing on Weight Loss: A Preliminary Study.
Toro-Ramos, T, Lee, DH, Kim, Y, Michaelides, A, Oh, TJ, Kim, KM, Jang, HC, Lim, S
Metabolic syndrome and related disorders. 2017;(9):465-473
Abstract
BACKGROUND There are inconsistent results for the effectiveness of using smartphone applications (apps) or websites on weight loss. 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 overweight or obese Korean adults. METHODS One hundred four adults aged 20-60 years with a body mass index ≥23 kg/m2, who signed up for a smartphone program for weight loss (using the Noom app), were recruited. Participants received an in-person orientation about the study and app use, and a baseline blood sample was obtained. The in-app intervention with daily behavior and nutrition education content and coaching lasted 15 weeks. The primary endpoint of the study was a change in weight. The secondary endpoints were changes in metabolic risk factors such as blood pressure, waist circumference, and glucose and lipid profiles. Body composition changes were also assessed, and body weight at 52 weeks was measured to ascertain long-term effects. RESULTS Participants showed a clinically significant weight loss effect of -7.5% at the end of the 15-week program (P < 0.001), and at a 52-week follow-up, a weight loss effect of -5.2% was maintained. At 15 weeks, percent body fat and visceral fat decreased by -6.0 ± 5.4% and -3.4 ± 2.7 kg, respectively (both P < 0.001). Fasting glucose level also decreased significantly by -5.7 ± 14.6 mg/dL at 15 weeks. Lipid parameters showed significant improvements, except for high-density lipoprotein cholesterol. The frequency of logging meals and exercise was associated with body fat loss. CONCLUSIONS This advanced smartphone app was a useful tool to maintain weight loss in overweight or obese people.
-
6.
Randomized controlled trial comparing smartphone assisted versus traditional guided self-help for adults with binge eating.
Hildebrandt, T, Michaelides, A, Mackinnon, D, Greif, R, DeBar, L, Sysko, R
The International journal of eating disorders. 2017;50(11):1313-1322
-
-
-
Free full text
-
Plain language summary
Mobile technology offers the potential for greater accessibility to patients, and a reduced treatment burden, which could increase adherence to self-help treatments. The aim of this randomised controlled study was to test the efficacy of a smartphone app – Noom Monitor - compared to traditional cognitive behaviour therapy in the management of binge eating episodes. The study recruited 66 adults who were randomized into two groups: cognitive-behaviour therapy through self-guided help or cognitive-behaviour therapy through self-guided help using Noom Monitor. Results show that patients receiving cognitive-behaviour therapy through self-guided help using Noom Monitor experienced a greater reduction in objective bulimic episodes and purging, and an increase in weekly meal and snack adherence. Authors conclude that smartphone apps can improve initial outcomes of cognitive-behaviour therapy through self-guided help and may offer a useful way to improve participant adherence among those who stay engaged in the treatment.
Abstract
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 eight 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.