Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Dec 10, 2022
Date Accepted: Jun 30, 2023

The final, peer-reviewed published version of this preprint can be found here:

An Evaluation of a Personalized Multicomponent Commercial Digital Weight Management Program: Single-Arm Behavioral Trial

Pagoto S, Xu R, Bullard T, Foster GD, Bannor R, Arcangel K, DiVito J, Schroeder M, Cardel MI

An Evaluation of a Personalized Multicomponent Commercial Digital Weight Management Program: Single-Arm Behavioral Trial

J Med Internet Res 2023;25:e44955

DOI: 10.2196/44955

PMID: 37642986

PMCID: 10498321

An Evaluation of a Personalized Multi-Component Commercial Digital Weight Management Program: A Single-Arm Behavioral Trial

  • Sherry Pagoto; 
  • Ran Xu; 
  • Tiffany Bullard; 
  • Gary D. Foster; 
  • Richard Bannor; 
  • Kaylei Arcangel; 
  • Joseph DiVito; 
  • Matthew Schroeder; 
  • Michelle I. Cardel

ABSTRACT

Background:

Digital behavioral weight loss programs are scalable, effective, and provide an opportunity to personalize intervention components. However, more research is needed to test the acceptability and efficacy of personalized digital behavioral weight loss interventions.

Objective:

In a 6-month single-arm trial, we examined weight loss, acceptability, and secondary outcomes of a virtual commercial weight loss program (WeightWatchers (WW)). This digital program included a personalized weight loss program based on sex, age, height, weight, and personal food preferences as well as synchronous (e.g., virtual workshops and individual weekly check-ins) and asynchronous elements (e.g., mobile app and virtual group). In addition to a personalized daily and weekly PersonalPoints target, the program provided users with personalized lists of ≥300 ZeroPoint foods which are foods that do not need to be weighed, measured or tracked.

Methods:

We conducted a pre-post evaluation of this 6-month digitally-delivered and personalized WW weight management program on weight loss, participation, satisfaction, fruit and vegetable intake, physical activity, sleep quality, hunger, food cravings, quality of life, self-compassion, and well-being at 3- and 6-months.

Results:

Participants (N=153) were 70% female, 42.5% identified as being from a minoritized racial and/or ethnic group (mean age=41.09; SD = 13.78) and had a mean BMI of 31.8 (SD = 5.0). Participants lost an average of -4.25% (SD = 3.93) weight loss from baseline to 3 months and -5.05% (SD = 5.59) weight loss from baseline to 6 months. At 6 months, the percentage of participants who experienced 3%, 5% or 10% or greater weight loss was 63.4%, 51% and 14.4% respectively. The mean percent of weeks participants engaged in one or more aspects of the program was 87.53% (SD = 23.40) at 3 months and 77.67% (SD = 28.69) at 6 months. Over two-thirds of participants rated satisfaction highly. Significant improvements were observed in fruit and vegetable intake, physical activity, sleep quality, hunger, food cravings, quality of life, and well-being (Ps<.01).

Conclusions:

This personalized, digital and scalable behavioral weight management program resulted in clinically significant weight loss and improvements in behavioral and psychosocial outcomes. Future research should compare personalized digital weight loss programs to generic programs on weight loss, participation, and acceptability. Clinical Trial: Clinicaltrials.gov NCT04032389; https://clinicaltrials.gov/ct2/show/NCT04032389.


 Citation

Please cite as:

Pagoto S, Xu R, Bullard T, Foster GD, Bannor R, Arcangel K, DiVito J, Schroeder M, Cardel MI

An Evaluation of a Personalized Multicomponent Commercial Digital Weight Management Program: Single-Arm Behavioral Trial

J Med Internet Res 2023;25:e44955

DOI: 10.2196/44955

PMID: 37642986

PMCID: 10498321

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.