Cross-National Outcomes of a Digital Weight Loss Intervention in the United States, Canada, United Kingdom and Ireland, and Australia and New Zealand: A Retrospective Analysis
- PMID: 34178911
- PMCID: PMC8222510
- DOI: 10.3389/fpubh.2021.604937
Cross-National Outcomes of a Digital Weight Loss Intervention in the United States, Canada, United Kingdom and Ireland, and Australia and New Zealand: A Retrospective Analysis
Abstract
Mobile health (mHealth) interventions are ubiquitous and effective treatment options for obesity. There is a widespread assumption that the mHealth interventions will be equally effective in other locations. In an initial test of this assumption, this retrospective study assesses weight loss and engagement with an mHealth behavior change weight loss intervention developed in the United States (US) in four English-speaking regions: the US, Australia and New Zealand (AU/NZ), Canada (CA), and the United Kingdom and Ireland (UK/IE). Data for 18,459 participants were extracted from the database of Noom's Healthy Weight Program. Self-reported weight was collected every week until program end (week 16). Engagement was measured using user-logged and automatically recorded actions. Linear mixed models were used to evaluate change in weight over time, and ANOVAs evaluated differences in engagement. In all regions, 27.2-33.2% of participants achieved at least 5% weight loss by week 16, with an average of 3-3.7% weight loss. Linear mixed models revealed similar weight outcomes in each region compared to the US, with a few differences. Engagement, however, significantly differed across regions (P < 0.001 on 5 of 6 factors). Depending on the level of engagement, the rate of weight loss over time differed for AU/NZ and UK/IE compared to the US. Our findings have important implications for the use and understanding of digital weight loss interventions worldwide. Future research should investigate the determinants of cross-country engagement differences and their long-term effects on intervention outcomes.
Keywords: cross-country mHealth outcomes; digital health (eHealth); eHealth; mHealth (mobile Health); obesity; weight loss intervention.
Copyright © 2021 Yang, Mitchell, Ho, DeLuca, Behr and Michaelides.
Conflict of interest statement
QY, AH, EM, LD, HB, and AM are employees at Noom Inc.
Similar articles
-
The Relationship Between Weight Loss Outcomes and Engagement in a Mobile Behavioral Change Intervention: Retrospective Analysis.JMIR Mhealth Uhealth. 2021 Nov 8;9(11):e30622. doi: 10.2196/30622. JMIR Mhealth Uhealth. 2021. PMID: 34747706 Free PMC article.
-
Rural chronic disease research patterns in the United Kingdom, United States, Canada, Australia and New Zealand: a systematic integrative review.BMC Public Health. 2020 May 24;20(1):770. doi: 10.1186/s12889-020-08912-1. BMC Public Health. 2020. PMID: 32448173 Free PMC article.
-
Goal setting in later life: an international comparison of older adults' defined goals.BMC Geriatr. 2024 May 21;24(1):443. doi: 10.1186/s12877-024-05017-x. BMC Geriatr. 2024. PMID: 38773405 Free PMC article.
-
Exploring the relationship between local food environments and obesity in UK, Ireland, Australia and New Zealand: a systematic review protocol.BMJ Open. 2018 Feb 22;8(2):e018701. doi: 10.1136/bmjopen-2017-018701. BMJ Open. 2018. PMID: 29472260 Free PMC article.
-
Review of registration requirements for new part-time doctors in New Zealand, Australia, the United Kingdom, Ireland and Canada.J Prim Health Care. 2010 Dec 1;2(4):273-80. J Prim Health Care. 2010. PMID: 21125067 Review.
Cited by
-
Weight Loss Patterns and Outcomes Over 12 Months on a Commercial Weight Management Program (CSIRO Total Wellbeing Diet Online): Large-Community Cohort Evaluation Study.J Med Internet Res. 2025 Jan 15;27:e65122. doi: 10.2196/65122. J Med Internet Res. 2025. PMID: 39813669 Free PMC article.
-
The Impact of a Digital Weight Loss Intervention on Health Care Resource Utilization and Costs Compared Between Users and Nonusers With Overweight and Obesity: Retrospective Analysis Study.JMIR Mhealth Uhealth. 2023 Aug 24;11:e47473. doi: 10.2196/47473. JMIR Mhealth Uhealth. 2023. PMID: 37616049 Free PMC article.
-
The effectiveness of mobile app usage in facilitating weight loss: An observational study.Obes Sci Pract. 2024 May 13;10(3):e757. doi: 10.1002/osp4.757. eCollection 2024 Jun. Obes Sci Pract. 2024. PMID: 38745944 Free PMC article.
-
Guideline-Based Digital Exercise Interventions for Reducing Body Weight and Fat and Promoting Physical Activity in Adults With Overweight and Obesity: Systematic Review and Meta-Analysis.Interact J Med Res. 2025 Aug 7;14:e73656. doi: 10.2196/73656. Interact J Med Res. 2025. PMID: 40773286 Free PMC article. Review.
-
A Smartphone App-Based Lifestyle Change Program for Prediabetes (D'LITE Study) in a Multiethnic Asian Population: A Randomized Controlled Trial.Front Nutr. 2022 Jan 24;8:780567. doi: 10.3389/fnut.2021.780567. eCollection 2021. Front Nutr. 2022. PMID: 35141265 Free PMC article.