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

digital health mHealth obesity weight loss maintenance

Journal

Obesity science & practice
ISSN: 2055-2238
Titre abrégé: Obes Sci Pract
Pays: United States
ID NLM: 101675151

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 14 09 2022
revised: 10 02 2023
accepted: 26 02 2023
medline: 9 10 2023
pubmed: 9 10 2023
entrez: 9 10 2023
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

Background UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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.

Identifiants

pubmed: 37810531
doi: 10.1002/osp4.666
pii: OSP4666
pmc: PMC10551118
doi:

Types de publication

Journal Article

Langues

eng

Pagination

443-451

Informations de copyright

© 2023 Noom. Obesity Science & Practice published by World Obesity and The Obesity Society and John Wiley & Sons Ltd.

Déclaration de conflit d'intérêts

Authors C.N.M., M.C.‐M., A.S.H., M.M., C.C., K.B., P.B., and A.M. are employees at Noom Inc. In the Academic Research department and have received salary and stock options for their employment. Authors H.B. and E.S.M. were employees at Noom at the time of the manuscript. This study was funded by Noom, which did not (other than the specific authors listed above) play a role in the study's design, execution, analyses, interpretation of the data, or the decision to publish the results.

Références

JMIR Form Res. 2022 Apr 15;6(4):e36794
pubmed: 35436218
Int J Obes (Lond). 2010 Nov;34(11):1644-54
pubmed: 20479763
Int J Obes (Lond). 2019 Feb;43(2):374-383
pubmed: 29686382
Eat Behav. 2014 Apr;15(2):218-24
pubmed: 24854807
Obes Rev. 2010 Dec;11(12):899-906
pubmed: 20345430
Int J Obes (Lond). 2021 Mar;45(3):525-534
pubmed: 33144700
Obes Res. 2003 May;11(5):641-52
pubmed: 12740454
Obes Rev. 2011 Sep;12(9):688-708
pubmed: 21535362
J Clin Epidemiol. 2010 Nov;63(11):1179-94
pubmed: 20685078
JAMA. 2008 Mar 12;299(10):1139-48
pubmed: 18334689
Nat Rev Endocrinol. 2019 May;15(5):288-298
pubmed: 30814686
J Behav Med. 2014 Dec;37(6):1155-68
pubmed: 24722826
Obes Facts. 2017;10(2):76-84
pubmed: 28376497
Int J Environ Res Public Health. 2021 Dec 18;18(24):
pubmed: 34948964
Curr Obes Rep. 2017 Jun;6(2):187-194
pubmed: 28455679
Int J Obes Relat Metab Disord. 1999 Dec;23(12):1314-9
pubmed: 10643690
Am J Clin Nutr. 2005 Jul;82(1 Suppl):222S-225S
pubmed: 16002825
Percept Mot Skills. 1994 Jun;78(3 Pt 1):747-51
pubmed: 8084685
Int J Obes (Lond). 2005 Oct;29(10):1168-74
pubmed: 15925949
Am J Clin Nutr. 2001 Nov;74(5):579-84
pubmed: 11684524
Health Psychol Rev. 2017 Jun;11(2):145-163
pubmed: 28281891
Int J Obes Relat Metab Disord. 2001 Mar;25(3):325-31
pubmed: 11319628
Ann Behav Med. 2011 Oct;42(2):174-87
pubmed: 21626256
BMC Public Health. 2016 Jan 29;16:91
pubmed: 26825583
J Med Internet Res. 2019 Sep 25;21(9):e14567
pubmed: 31573916
PLoS One. 2019 Nov 19;14(11):e0225446
pubmed: 31743365
JMIR Mhealth Uhealth. 2018 May 03;6(5):e93
pubmed: 29724709
Health Psychol Rev. 2016 Sep;10(3):277-96
pubmed: 26854092
Obes Rev. 2022 Sep;23(9):e13483
pubmed: 35686875
Br J Nutr. 2008 Apr;99(4):925-30
pubmed: 18042306
Obesity (Silver Spring). 2010 Apr;18(4):725-35
pubmed: 19696752
Front Digit Health. 2021 Jul 08;3:690182
pubmed: 34713165
JMIR Res Protoc. 2022 Aug 12;11(8):e37541
pubmed: 35969439
Am J Prev Med. 2014 Jan;46(1):17-23
pubmed: 24355667
Am Psychol. 2020 Feb-Mar;75(2):235-251
pubmed: 32052997
J Med Internet Res. 2020 Apr 28;22(4):e17883
pubmed: 32343250
Health Educ Behav. 2023 Feb;50(1):70-83
pubmed: 34796747
Biopsychosoc Med. 2017 Jun 6;11:14
pubmed: 28592990
Int J Behav Nutr Phys Act. 2012 Aug 30;9:102
pubmed: 22935297
Appetite. 2021 Jul 1;162:105183
pubmed: 33651994
JMIR Mhealth Uhealth. 2020 Jul 8;8(7):e17842
pubmed: 32459631
Internet Interv. 2017 Feb 22;8:10-14
pubmed: 30135824
Obes Res Clin Pract. 2011 Jul-Sep;5(3):e169-266
pubmed: 24331106
Obes Rev. 2019 Feb;20(2):171-211
pubmed: 30324651
J Clin Epidemiol. 2014 Aug;67(8):845-9
pubmed: 24766858
Transl Behav Med. 2019 Nov 25;9(6):1020-1033
pubmed: 31689344

Auteurs

Christine N May (CN)

Academic Research Noom Inc. New York New York USA.

Matthew Cox-Martin (M)

Academic Research Noom Inc. New York New York USA.

Annabell Suh Ho (AS)

Academic Research Noom Inc. New York New York USA.

Meaghan McCallum (M)

Academic Research Noom Inc. New York New York USA.

Caroline Chan (C)

Academic Research Noom Inc. New York New York USA.

Kelly Blessing (K)

Academic Research Noom Inc. New York New York USA.

Heather Behr (H)

Academic Research Noom Inc. New York New York USA.
Department of Integrative Health Saybrook University Pasadena California USA.

Paige Blanco (P)

Academic Research Noom Inc. New York New York USA.

Ellen Siobhan Mitchell (ES)

Academic Research Noom Inc. New York New York USA.

Andreas Michaelides (A)

Academic Research Noom Inc. New York New York USA.

Classifications MeSH