open access publication

Article, 2024

A low‐burden, self‐weighing intervention to prevent weight gain in adults with obesity who do not enroll in comprehensive treatment

Obesity Science & Practice, ISSN 2055-2238, Volume 10, 2, Page e745, 10.1002/osp4.745

Contributors

Mcvay, Megan Apperson (Corresponding author) [1] Seoane, Montserrat Carrera [1] Rajoria, Melinda 0000-0002-3611-7361 [2] Dye, Marissa [1] Marshall, Natalie [1] Muenyi, Sofia [1] Alkanderi, Anas [3] Scotti, Kellie B [1] Ruiz, Jaime 0000-0002-9139-6172 [1] Voils, Corrine Ione 0000-0003-1913-663X [4] [5] Ross, Kathryn Marie 0000-0002-3628-766X [1]

Affiliations

  1. [1] University of Florida
  2. [NORA names: United States; America, North; OECD];
  3. [2] NBCD (Denmark)
  4. [NORA names: Other Companies; Private Research; Denmark; Europe, EU; Nordic; OECD];
  5. [3] University of Minnesota
  6. [NORA names: United States; America, North; OECD];
  7. [4] University of Wisconsin–Madison
  8. [NORA names: United States; America, North; OECD];
  9. [5] William S. Middleton Memorial Veterans Hospital
  10. [NORA names: United States; America, North; OECD]

Abstract

Background: For individuals who are eligible but unlikely to join comprehensive weight loss programs, a low burden self-weighing intervention may be a more acceptable approach to weight management. Methods: This was a single-arm feasibility trial of a 12-month self-weighing intervention. Participants were healthcare patients with a BMI ≥25 kg/m2 with a weight-related comorbidity or a BMI >30 kg/m2 who reported lack of interest in joining a comprehensive weight loss program, or did not enroll in a comprehensive program after being provided program information. In the self-weighing intervention, participants were asked to weigh themselves daily on a cellular connected scale and were sent text messages every other week with tailored weight change feedback, including messages encouraging use of comprehensive programs if weight gain occurred. Results: Of 86 eligible patients, 39 enrolled (45.3%) in the self-weighing intervention. Self-weighing occurred on average 4.6 days/week (SD = 1.4). At 12 months, 12 participants (30.8%) lost ≥3% baseline weight, 11 (28.2%) experienced weight stability (±3% baseline), 6 (15.4%) gained ≥3% of baseline weight, and 10 (25.6%) did not have available weight data to evaluate. Three participants reported joining a weight loss program during the intervention (7.7%). Participants reported high intervention satisfaction in quantitative ratings (4.1 of 5), and qualitative interviews identified areas of satisfaction (e.g., timing and content of text messages) and areas for improvement (e.g., increasing personalization of text messages). Conclusion: A low-burden self-weighing intervention can reach adults with overweight/obesity who would be unlikely to engage in comprehensive weight loss programs; the efficacy of this intervention for preventing weight gain should be further evaluated in a randomized trial.

Keywords

BMI, adults, area, baseline, baseline weight, comorbidity, comprehensive program, comprehensive treatment, comprehensive weight loss program, connectivity scales, data, efficacy, eligible patients, feedback, gain, gt;30, gt;30 kg/m<sup>2</sup>, healthcare, healthcare patients, improvement, individuals, information, intervention, intervention satisfaction, interviews, lack, low burden, management, messages, months, obesity, overweight/obesity, participants, patients, prevent weight gain, program, program information, qualitative interviews, quantitative ratings, randomized trials, rate, satisfaction, scale, self-weighing, stability, treatment, trials, use, weeks, weight, weight data, weight gain, weight loss program, weight management, weight stability, weight-related comorbidity

Funders

  • National Science Foundation
  • National Institute of Diabetes and Digestive and Kidney Diseases
  • United States Department of Veterans Affairs
  • Defense Advanced Research Projects Agency
  • Health Services Research & Development
  • National Heart Lung and Blood Institute

Data Provider: Digital Science