ArticleObesity (Silver Spring, Md.)2019
Accuracy of Self-Report Versus Objective Smart-Scale Weights During a 12-Week Weight Management Intervention.
Article in Obesity (Silver Spring, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- An Adaptive Telephone Coaching Intervention for Patients in an Online Weight Loss Program: A Randomized Clinical Trial.JAMA network open · 2024Trial
- Weight Gain Over 6 Years in Young Adults: The Study of Novel Approaches to Weight Gain Prevention Randomized Trial.Obesity (Silver Spring, Md.) · 2020Trial
- An Acceptance-Based Guided Self-Help Program for Weight Loss Maintenance in Adults Who Have Previously Completed a Behavioral Weight Loss Program: The SWiM Feasibility Study.Obesity science & practice · 2025Article
- Identification of minimum thresholds for dietary self-monitoring to promote weight-loss maintenance.Obesity (Silver Spring, Md.) · 2024Article
- A low-burden, self-weighing intervention to prevent weight gain in adults with obesity who do not enroll in comprehensive treatment.Obesity science & practice · 2024Article
- #4Corners4Health Social Media Cancer Prevention Campaign for Emerging Adults: Protocol for a Randomized Stepped-Wedge Trial.JMIR research protocols · 2024Article
- Characterising individual variability in associations between self-monitoring and weight change during and after a behavioral weight management program.Obesity science & practice · 2024Article
- Predicting high-risk periods for weight regain following initial weight loss.Obesity (Silver Spring, Md.) · 2024Article
- Characterization of early non-responders within behavioral weight loss treatment.American journal of health behavior · 2024Article
- Hunger, temptation, and dietary adherence during weight management.Eating behaviors · 2023Observational
- Importance of self-weighing to avoid post-cessation weight gain: A secondary analysis of the fit and quit randomized trial.Obesity science & practice · 2023Article
- Comparison of weight captured via electronic health record and cellular scales to the gold-standard clinical method.Obesity science & practice · 2023Article
- Weight Change over Ten Years Predicts Biological Aging in a Random Sample of 3070 U.S. Adults.Nutrients · 2023Article
- Article
- Weight Loss Expectations of Adults With Binge Eating: Cross-sectional Study With a Human-Centered Design Approach.JMIR formative research · 2023Article
- Long-Term Outcomes after Adolescent Bariatric Surgery.Journal of the American College of Surgeons · 2022Article
- Consistency With and Disengagement From Self-monitoring of Weight, Dietary Intake, and Physical Activity in a Technology-Based Weight Loss Program: Exploratory Study.JMIR formative research · 2022Article
- The Behavioral Intervention with Technology for E-Weight Loss Study (BITES): Incorporating Energy Balance Models and the Bite Counter into an Online Behavioral Weight Loss Program.Journal of technology in behavioral science · 2021Article
- Accuracy of Smart Scales on Weight and Body Composition: Observational Study.JMIR mHealth and uHealth · 2021Observational
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
objectiveGreater frequency of self-weighing has been associated with greater weight loss in weight management interventions, but little is known regarding the accuracy of self-reported weight data.
methodsAgreement between objective smart-scale and self-reported weight data was assessed in 74 adults (age = 50.7 years; BMI = 31.2 kg/m
resultsThere was strong agreement between smart-scale and self-reported weight values (intraclass correlation = 0.982) but only moderate agreement regarding frequency of self-weighing assessed via each method (κ = 0.491; P < 0.0001). Greater self-weighing frequency was associated with greater weight loss across measures (all P < 0.001). Compared with days when participants did both, weights were 0.66 kg higher on days when participants self-weighed via the smart scale but did not self-report weight (8% of days) and 0.58 kg higher on days when they self-reported weight but did not self-weigh via the smart scale (4% of days; all P < 0.0001).
conclusionsResults suggest that self-reported weight values are similar to smart-scale measurements; however, either method alone may underestimate self-weighing frequency. Furthermore, missing self-weighing data should not be treated as ignorable because weights may be higher than those observed on nonmissing days.
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