A randomized controlled trial comparing prevention and promotion cognitive strategies in a behavioral weight‐loss intervention

Obesity ◽  
2021 ◽  
Author(s):  
Kathryn E. Demos McDermott ◽  
Tiffany L. Leblond ◽  
Shira I. Dunsiger ◽  
Alexander J. Rothman ◽  
Rena R. Wing
Keyword(s):  
Weight Loss ◽  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Cognitive Strategies ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Randomized Controlled ◽  
Behavioral Weight Loss Intervention

scholarly journals Behavioral Weight Loss Intervention for Migraine: A Randomized Controlled Trial

Obesity ◽  
2017 ◽  
Vol 26 (1) ◽  
pp. 81-87 ◽  
Author(s):  
Dale S. Bond ◽  
J. Graham Thomas ◽  
Richard B. Lipton ◽  
Julie Roth ◽  
Jelena M. Pavlovic ◽  
...  
Keyword(s):  
Weight Loss ◽  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Randomized Controlled ◽  
Behavioral Weight Loss Intervention

scholarly journals Comparing Self-Monitoring Strategies for Weight Loss in a Smartphone App: Randomized Controlled Trial (Preprint)

2018 ◽  
Author(s):  
Michele L Patel ◽  
Christina M Hopkins ◽  
Taylor L Brooks ◽  
Gary G Bennett
Keyword(s):  
Weight Loss ◽  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Mobile App ◽  
Self Report ◽  
Smartphone App ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Self Monitoring ◽  
Randomized Controlled

BACKGROUND Self-monitoring of dietary intake is a valuable component of behavioral weight loss treatment; however, it declines quickly, thereby resulting in suboptimal treatment outcomes. OBJECTIVE This study aimed to examine a novel behavioral weight loss intervention that aims to attenuate the decline in dietary self-monitoring engagement. METHODS GoalTracker was an automated randomized controlled trial. Participants were adults with overweight or obesity (n=105; aged 21-65 years; body mass index, BMI, 25-45 kg/m2) and were randomized to a 12-week stand-alone weight loss intervention using the MyFitnessPal smartphone app for daily self-monitoring of either (1) both weight and diet, with weekly lessons, action plans, and feedback (Simultaneous); (2) weight through week 4, then added diet, with the same behavioral components (Sequential); or (3) only diet (App-Only). All groups received a goal to lose 5% of initial weight by 12 weeks, a tailored calorie goal, and automated in-app reminders. Participants were recruited via online and offline methods. Weight was collected in-person at baseline, 1 month, and 3 months using calibrated scales and via self-report at 6 months. We retrieved objective self-monitoring engagement data from MyFitnessPal using an application programming interface. Engagement was defined as the number of days per week in which tracking occurred, with diet entries counted if ≥800 kcal per day. Other assessment data were collected in-person via online self-report questionnaires. RESULTS At baseline, participants (84/100 female) had a mean age (SD) of 42.7 (11.7) years and a BMI of 31.9 (SD 4.5) kg/m2. One-third (33/100) were from racial or ethnic minority groups. During the trial, 5 participants became ineligible. Of the remaining 100 participants, 84% (84/100) and 76% (76/100) completed the 1-month and 3-month visits, respectively. In intent-to-treat analyses, there was no difference in weight change at 3 months between the Sequential arm (mean −2.7 kg, 95% CI −3.9 to −1.5) and either the App-Only arm (−2.4 kg, −3.7 to −1.2; P=.78) or the Simultaneous arm (−2.8 kg, −4.0 to −1.5; P=.72). The median number of days of self-monitoring diet per week was 1.9 (interquartile range [IQR] 0.3-5.5) in Sequential (once began), 5.3 (IQR 1.8-6.7) in Simultaneous, and 2.9 (IQR 1.2-5.2) in App-Only. Weight was tracked 4.8 (IQR 1.9-6.3) days per week in Sequential and 5.1 (IQR 1.8-6.3) days per week in Simultaneous. Engagement in neither diet nor weight tracking differed between arms. CONCLUSIONS Regardless of the order in which diet is tracked, using tailored goals and a commercial mobile app can produce clinically significant weight loss. Stand-alone digital health treatments may be a viable option for those looking for a lower intensity approach. CLINICALTRIAL ClinicalTrials.gov NCT03254953; https://clinicaltrials.gov/ct2/show/NCT03254953 (Archived by WebCite at http://www.webcitation.org/72PyQrFjn).

Abstract MP27: Cellphone Intervention for You (CITY): A Randomized, Controlled Trial of Behavioral Weight Loss Intervention by Cellphone or Personal Coaching for Young Adults

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Laura P Svetkey ◽  
Stephen S Intille ◽  
Bryan C Batch ◽  
Leonor Corsino ◽  
Crystal C Tyson ◽  
...  
Keyword(s):  
Weight Loss ◽  
Young Adults ◽  
Controlled Trial ◽  
Personal Contact ◽  
Control Group ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
National Guidelines ◽  
Personal Coaching ◽  
Behavioral Weight Loss Intervention

Background: Obesity affects young adults, leading to future morbidity and mortality. Early behavioral intervention may promote long-term weight control. Mobile technology-based (mHealth) interventions may be particularly effective in young adults. We compared both an mHealth behavioral weight loss intervention and a personal coaching weight loss intervention to no intervention (and to each other) in overweight/obese young adults. Methods: We randomized 365 generally healthy adults age 18-35 years with BMI > 25 kg/m2 (overweight or obese) to 24-months of intervention delivered primarily via investigator-designed cell phone (CP) or intervention delivered primarily via in-person (6 weekly) and by phone (23 monthly) coaching (PC), compared to usual care control group (Control). Primary outcome was weight change from baseline to 24 months. This study was conducted as part of the Early Adult Reduction of weight through LifestYle (EARLY) cooperative trials. Results: Randomized participants (N=365) had mean BMI 35 kg/m2, mean age 29yrs, were 70% women, 36% African American, 6% Latino. Final weight was obtained in 86%; missing weight was multiply imputed. At 24 months, weight loss was not different in either PC or CP vs Control (see Figure). Weight loss in PC was significantly greater than Control at 6 months. From baseline to 24 months, clinically significant weight loss (> 3% per national guidelines) occurred in 40% of PC, 34% of CP, and 30% of Control. Conclusions: mHealth alone may not be sufficient for weight loss in young adults but mHealth-enhanced contact with an interventionist has a modest short-term effect. Future interventions should maximize the complementarity of mHealth and personal contact to achieve larger and more sustained effect.

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