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

Miller, Nicole A.; Ehmann, Marny M.; Hagerman, Charlotte J.; Forman, Evan M.; Spring, Bonnie; LaFata, Erica M.; Zhang, Zoe; Milliron, Brandy‐Joe; Butryn, Meghan L.

doi:10.1016/j.cct.2023.107201

Cited by 6 publications

(1 citation statement)

References 61 publications

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“…64 Wireless scales allow remote monitoring of weight and transmission of weight data to clinicians, peers involved in group programs, and others to provide feedback, accountability, and support. 65…”

Section: Focus On Resources To Facilitate Improved Population-level O...mentioning

confidence: 99%

Implementation of Obesity Science Into Clinical Practice: A Scientific Statement From the American Heart Association

Laddu,

Neeland,

Carnethon

et al. 2024

Circulation

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Obesity is a recognized public health epidemic with a prevalence that continues to increase dramatically in nearly all populations, impeding progress in reducing incidence rates of cardiovascular disease. Over the past decade, obesity science has evolved to improve knowledge of its multifactorial causes, identifying important biological causes and sociological determinants of obesity. Treatments for obesity have also continued to develop, with more evidence-based programs for lifestyle modification, new pharmacotherapies, and robust data to support bariatric surgery. Despite these advancements, there continues to be a substantial gap between the scientific evidence and the implementation of research into clinical practice for effective obesity management. Addressing barriers to obesity science implementation requires adopting feasible methodologies and targeting multiple levels (eg, clinician, community, system, policy) to facilitate the delivery of obesity-targeted therapies and maximize the effectiveness of guideline-driven care to at-need patient populations. This scientific statement (1) describes strategies shown to be effective or promising for enhancing translation and clinical application of obesity-based research; (2) identifies key gaps in the implementation of obesity science into clinical practice; and (3) provides guidance and resources for health care professionals, health care systems, and other stakeholders to promote broader implementation and uptake of obesity science for improved population-level obesity management. In addition, advances in implementation science that hold promise to bridge the know-do gap in obesity prevention and treatment are discussed. Last, this scientific statement highlights implications for health research policy and future research to improve patient care models and optimize the delivery and sustainability of equitable obesity-related care.

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Section: Focus On Resources To Facilitate Improved Population-level O...mentioning

confidence: 99%

Implementation of Obesity Science Into Clinical Practice: A Scientific Statement From the American Heart Association

Laddu,

Neeland,

Carnethon

et al. 2024

Circulation

View full text Add to dashboard Cite

show abstract

Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity

Metzendorf,

Wieland,

Richter

2024

Cochrane Database of Systematic Reviews

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Coach access to digital self‐monitoring data: an experimental test of short‐term effects in behavioral weight‐loss treatment

Butryn,

Miller,

Hagerman

et al. 2024

Obesity

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ObjectiveThis study experimentally tested whether coach access to participants' digital self‐monitoring data improved behavioral weight‐loss outcomes.MethodsParticipants (N = 322) received 12 weeks of group‐based behavioral weight‐loss sessions via videoconference and were instructed to engage in daily self‐monitoring of weight, physical activity (PA), and dietary intake. For participants who were randomly assigned to Coach Share ON (n = 161), coaches regularly accessed a web‐based portal that displayed data from the participants' scale, PA sensor, and food record.ResultsWeight loss at 12 weeks was significantly greater in Coach Share ON versus OFF (6.2% vs. 5.3%; p = 0.04). Self‐monitoring of PA (98.70% vs. 97.40% of days; p = 0.006) and eating (98.05% vs. 93.51% of days; p = 0.007) was more frequent in Coach Share ON versus OFF. There were no significant differences by condition in PA (p = 0.57), attendance (p = 0.42), working alliance (p = 0.62), or self‐monitoring of weight (p = 0.12). Perceived supportive accountability was significantly greater in Coach Share ON versus OFF (p < 0.001).ConclusionsThe short‐term efficacy of behavioral weight loss was greater when coaches had direct access to self‐monitoring device data. Notably, there also was no evidence of iatrogenic effects of data sharing.

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

Cited by 6 publications

References 61 publications

Implementation of Obesity Science Into Clinical Practice: A Scientific Statement From the American Heart Association

Implementation of Obesity Science Into Clinical Practice: A Scientific Statement From the American Heart Association

Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity

Coach access to digital self‐monitoring data: an experimental test of short‐term effects in behavioral weight‐loss treatment

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