Evidence map›Paper›PMID 37642986›Full record

Trial reportJournal of medical Internet research2023

An Evaluation of a Personalized Multicomponent Commercial Digital Weight Management Program: 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 readClinical Trial
In one paragraph

Trial report in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Sherry PagotoDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, United States.ORCID 0000-0002-2462-8797
Ran XuDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, United States.ORCID 0000-0002-5832-9226
Tiffany BullardWW International, Inc, New York, NY, United States.ORCID 0000-0002-4611-3460
Gary D FosterWW International, Inc, New York, NY, United States.ORCID 0000-0002-3960-0332
Richard BannorDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, United States.ORCID 0000-0002-5849-8740
Kaylei ArcangelDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, United States.ORCID 0000-0002-4763-9309
Joseph DiVitoDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, United States.ORCID 0000-0002-1441-1818
Matthew SchroederCenter for Aging Research, Regenstrief Institute, Indianapolis, IN, United States.ORCID 0000-0002-5616-1423
Michelle I CardelWW International, Inc, New York, NY, United States.ORCID 0000-0002-9395-8618

Funding

Mentoring in mHealth and Social Networking Interventions for CVD Risk ReductionK24HL124366 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI PAGOTO, SHERRY L. · 2015 to 2024
$1.1M
NHLBI NIH HHS K24 HL124366
6 · The paper itself

Abstract

backgroundDigital behavioral weight loss programs are scalable and effective, and they 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.

objectiveIn a 6-month single-arm trial, we examined weight loss, acceptability, and secondary outcomes of a digital commercial weight loss program (WeightWatchers). This digital program included a personalized weight loss program based on sex, age, height, weight, and personal food preferences, as well as synchronous (eg, virtual workshops and individual weekly check-ins) and asynchronous (eg, mobile app and virtual group) elements. 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.

methodsWe conducted a pre-post evaluation of this 6-month, digitally delivered, and personalized WeightWatchers weight management program on weight loss at 3 and 6 months in adults with overweight and obesity. The secondary outcomes included participation, satisfaction, fruit and vegetable intake, physical activity, sleep quality, hunger, food cravings, quality of life, self-compassion, well-being, and behavioral automaticity.

resultsOf the 153 participants, 107 (69.9%) were female, and 65 (42.5%) identified as being from a minoritized racial or ethnic group. Participants' mean age was 41.09 (SD 13.78) years, and their mean BMI was 31.8 (SD 5.0) kg/m

conclusionsThis personalized, digital, and scalable behavioral weight management program resulted in clinically significant weight loss in half (78/153, 51%) of the participants as well as improvements in behavioral and psychosocial outcomes. Future research should compare personalized digital weight loss programs with generic programs on weight loss, participation, and acceptability.

Indexed as

Behavior TherapyQuality of LifeAdultEthnicityExerciseFemaleFruitHumansMalediet managementdigital behavioral weight management programdigital interventionexercisepersonalized weight loss programsingle-arm behavioral trialweight lossweight managementZeroPoint foods

Identifiers

PMID37642986
PMCPMC10498321

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.