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Correction: Weight Loss Patterns and Outcomes Over 12 Months on a Commercial Weight Management Program (CSIRO Total Wellbeing Diet Online): Large-Community Cohort Evaluation Study

Correction: Weight Loss Patterns and Outcomes Over 12 Months on a Commercial Weight Management Program (CSIRO Total Wellbeing Diet Online): Large-Community Cohort Evaluation Study

In “Weight Loss Patterns and Outcomes Over 12 Months on a Commercial Weight Management Program (CSIRO Total Wellbeing Diet Online): Large-Community Cohort Evaluation Study” ([JMIR 2025;27(1):e65122) the authors noted several errors: In the Methods section of the Abstract, the sentence: Among members with complete data (6602/24,035, 27.5%), patterns of weight loss and gain were examined, and how this related to total weight loss was explored.

Gilly A Hendrie, Danielle L Baird, Genevieve James-Martin, Emily Brindal, Paige G Brooker

J Med Internet Res 2025;27:e71665

Weight Loss Patterns and Outcomes Over 12 Months on a Commercial Weight Management Program (CSIRO Total Wellbeing Diet Online): Large-Community Cohort Evaluation Study

Weight Loss Patterns and Outcomes Over 12 Months on a Commercial Weight Management Program (CSIRO Total Wellbeing Diet Online): Large-Community Cohort Evaluation Study

There was a subsample 6602 members with complete weigh-in data used for the analysis of weight loss patterns. A detailed description of the program has been published previously [24]. Briefly, the CSIRO Total Wellbeing Diet Online is a commercial weight loss program managed by Digital Wellness and is available to individuals at a cost of Aus $199 (US $123) for the first 12 weeks and up to Aus $449 (US $278) for 12 months.

Gilly A Hendrie, Danielle L Baird, Genevieve James-Martin, Emily Brindal, Paige G Brooker

J Med Internet Res 2025;27:e65122

Predicting Disengagement to Better Support Outcomes in a Web-Based Weight Loss Program Using Machine Learning Models: Cross-Sectional Study

Predicting Disengagement to Better Support Outcomes in a Web-Based Weight Loss Program Using Machine Learning Models: Cross-Sectional Study

This presented an opportunity for this study to address several limitations in the current body of literature, including the application of ML to a real-world weight loss intervention that has weight and engagement data collected at regular intervals from a larger sample of participants compared with previously published research. This study used data from a web-based commercial weight loss program to predict a user’s risk of disengagement during a 12-week program.

Aida Brankovic, Gilly A Hendrie, Danielle L Baird, Sankalp Khanna

J Med Internet Res 2023;25:e43633

A Mobile Phone App Designed to Support Weight Loss Maintenance and Well-Being (MotiMate): Randomized Controlled Trial

A Mobile Phone App Designed to Support Weight Loss Maintenance and Well-Being (MotiMate): Randomized Controlled Trial

Wing et al [8] report on a study targeting these very skills, which compared 3 groups: a control group, which received only a quarterly newsletter; a group that received face-to-face intervention; and a group that received a Web-based intervention. One of the core features for both intervention groups was a bathroom scale, which gave color-coded feedback, indicating whether participants had a weight gain of 1.4 kg or less (green), between 1.4 and 2.2 kg (yellow), or more than 2.2 kg (red).

Emily Brindal, Gilly A Hendrie, Jill Freyne, Manny Noakes

JMIR Mhealth Uhealth 2019;7(9):e12882

Incorporating a Static Versus Supportive Mobile Phone App Into a Partial Meal Replacement Program With Face-to-Face Support: Randomized Controlled Trial

Incorporating a Static Versus Supportive Mobile Phone App Into a Partial Meal Replacement Program With Face-to-Face Support: Randomized Controlled Trial

A 12-month intervention using a personal digital assistant (PDA) to support a standard weight loss program reported 3.1% more weight loss in the intervention group when compared with a standard care group [8]. Unlike other trials that included no in-person support [6,7], this intervention included face-to-face support in addition to mobile support through the PDA.

Emily Brindal, Gilly A Hendrie, Jill Freyne, Manny Noakes

JMIR Mhealth Uhealth 2018;6(4):e41

Combining Persuasive Technology With Behavioral Theory to Support Weight Maintenance Through a Mobile Phone App: Protocol for the MotiMate App

Combining Persuasive Technology With Behavioral Theory to Support Weight Maintenance Through a Mobile Phone App: Protocol for the MotiMate App

A second strategy would be through improving a person’s psychological well-being. Positive well-being and optimism can improve resilience and the ability to problem-solve [14,15], as well as helping to restore resources after depletion [16]. Finally, a greater feeling of control over coping could equip a person with more confidence to use strategies.

Emily Brindal, Gilly A Hendrie, Jill Freyne

JMIR Res Protoc 2016;5(1):e5