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Randomized Controlled Trial
. 2023 Jun:129:107201.
doi: 10.1016/j.cct.2023.107201. Epub 2023 Apr 18.

Sharing digital self-monitoring data with others to enhance long-term weight loss: A randomized controlled trial

Nicole A Miller  1 , Marny M Ehmann  2 , Charlotte J Hagerman  2 , Evan M Forman  2 , Danielle Arigo  3 , Bonnie Spring  4 , Erica M LaFata  2 , Fengqing Zhang  5 , Brandy-Joe Milliron  6 , Meghan L Butryn  7
Affiliations
Randomized Controlled Trial

Sharing digital self-monitoring data with others to enhance long-term weight loss: A randomized controlled trial

Nicole A Miller et al. Contemp Clin Trials. 2023 Jun.

Abstract

Background: Participants in behavioral weight loss (BWL) programs increasingly use digital tools to self-monitor weight, physical activity, and dietary intake. Data collected with these tools can be systematically shared with other parties in ways that might support behavior change.

Methods: Adults age 18 to 70 with overweight/obesity (BMI 27-50 kg/m2) will enroll in a remotely delivered, 24-month BWL program designed to produce and maintain a 10% weight loss. Participants will be asked to use a wireless body weight scale, wearable activity sensor, and dietary intake app daily. All participants will receive individual and group counseling, engage in text messaging with members of their group, and appoint a friend or family member to serve in a support role. A 2x2x2 factorial design will test the effects of three types of data sharing partnerships: 1) Coach Share: The behavioral coach will regularly view digital self-monitoring data and address data observations. 2) Group Share: Participants will view each other's self-monitoring data in small-group text messages. 3) Friend/Family Share: A friend or family member will view the participant's data via automated message. The primary outcome is weight loss at 24 months. Mediators and moderators of intervention effects will be tested.

Conclusion: This study will provide a clear indication of whether data sharing can improve long-term weight loss. This study will be the first to discern the mechanisms of action through which each type of data sharing may be beneficial, and elucidate conditions under which the benefits of data sharing may be maximized.

Keywords: Data sharing; Digital self-monitoring; Obesity; Overweight; Weight loss.

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Conflict of interest statement

Declaration of Competing Interest The authors declare that they have no competing interests that could have influenced this work.

Figures

Fig. 1.
Fig. 1.
Conceptual model.
Fig. 2.
Fig. 2.
Example of in-app automated messages.
See this image and copyright information in PMC

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