Evidence map›Paper›PMID 37810531›Full record

ArticleObesity science & practice2023

Weight loss maintenance after a digital commercial behavior change program (Noom Weight): Observational cross-sectional survey study.

Christine N May, Matthew Cox-Martin, Annabell Suh Ho, Meaghan McCallum, Caroline Chan, Kelly Blessing, Heather Behr, Paige Blanco, Ellen Siobhan Mitchell, Andreas Michaelides

Open access · goldAbstract read
In one paragraph

Article in Obesity science & practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 3% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Inequalities in Exclusively Mobile Interventions Targeting Weight-Related Behaviors: Systematic Review of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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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

10 authors at 2 institutions in 1 country.

Christine N MayAcademic Research Noom Inc. New York New York USA.
Matthew Cox-MartinAcademic Research Noom Inc. New York New York USA.
Annabell Suh HoAcademic Research Noom Inc. New York New York USA.ORCID https://orcid.org/0000-0002-0972-0181
Meaghan McCallumAcademic Research Noom Inc. New York New York USA.
Caroline ChanAcademic Research Noom Inc. New York New York USA.
Kelly BlessingAcademic Research Noom Inc. New York New York USA.
Heather BehrAcademic Research Noom Inc. New York New York USA.
Paige BlancoAcademic Research Noom Inc. New York New York USA.
Ellen Siobhan MitchellAcademic Research Noom Inc. New York New York USA.
Andreas MichaelidesAcademic Research Noom Inc. New York New York USA.
Noom (United States) · USSaybrook University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Behavioral weight loss programs often lead to significant short-term weight loss, but long-term weight maintenance remains a challenge. Most weight maintenance data come from clinical trials, in-person programs, or general population surveys, but there is a need for better understanding of long-term weight maintenance in real-world digital programs. Methods: This observational survey study examined weight maintenance reported by individuals who had used Noom Weight, a digital commercial behavior change program, and identified factors associated with greater weight maintenance. The cross-sectional survey was completed by 840 individuals who had lost at least 10% of their body weight using Noom Weight 6-24 months prior. Results: The study found that 75% of individuals maintained at least 5% weight loss after 1 year, and 49% maintained 10% weight loss. On average, 65% of initial weight loss was maintained after 1 year and 57% after 2 years. Habitual behaviors, such as healthy snacking and exercise, were associated with greater weight maintenance, while demographic factors were not. Conclusion: This study provides real-world data on the long-term weight maintenance achieved using a fully digital behavioral program. The results suggest that Noom Weight is associated with successful weight maintenance in a substantial proportion of users. Future research will use a randomized controlled trial to track weight maintenance after random assignment and at a 2 year follow-up.

Indexed as

digital healthmHealthobesityweight loss maintenance

Identifiers

PMID37810531
PMCPMC10551118
OpenAlexW4323668503

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.