ArticleJournal of medical Internet research2020
Patterns in Weight and Physical Activity Tracking Data Preceding a Stop in Weight Monitoring: Observational Analysis.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Mobile health assisted self-monitoring is acceptable for supporting weight loss in rural men: a pragmatic randomized controlled feasibility trial.BMC public health · 2021Trial
- Longitudinal associations between self-regulation and physical activity behavior following metabolic bariatric surgery; an exploratory study.The international journal of behavioral nutrition and physical activity · 2025Article
- Interactive Effects of Weight Recording Frequency and the Volume of Chat Communication With Health Care Professionals on Weight Loss in mHealth Interventions for Noncommunicable Diseases: Retrospective Observational Study.Interactive journal of medical research · 2025Article
- Psychological and behavioral responses to daily weight gain during behavioral weight loss treatment.Journal of behavioral medicine · 2024Article
- Weight Loss with an AI-Powered Digital Platform for Lifestyle Intervention.Obesity surgery · 2024Article
- Do monthly coaching calls influence proximal participant adherence in a behavioral weight loss program?Journal of behavioral medicine · 2023Article
- The Association Between Goal Setting and Weight Loss: Prospective Analysis of a Community Weight Loss Program.Journal of medical Internet research · 2023Article
- Article
- The Impact of Wearable Technologies in Health Research: Scoping Review.JMIR mHealth and uHealth · 2022Article
- Frequency of Self-Weighing and Weight Change: Cohort Study With 10,000 Smart Scale Users.Journal of medical Internet research · 2021Observational
- Wearable Activity Trackers for Monitoring Adherence to Home Confinement During the COVID-19 Pandemic Worldwide: Data Aggregation and Analysis.Journal of medical Internet research · 2020Article
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Authors and funding
5 authors.
Funding
Abstract
backgroundSelf-regulation for weight loss requires regular self-monitoring of weight, but the frequency of weight tracking commonly declines over time.
objectiveThis study aimed to investigate whether it is a decline in weight loss or a drop in motivation to lose weight (using physical activity tracking as a proxy) that may be prompting a stop in weight monitoring.
methodsWe analyzed weight and physical activity data from 1605 Withings Health Mate app users, who had set a weight loss goal and stopped tracking their weight for at least six weeks after a minimum of 16 weeks of continuous tracking. Mixed effects models compared weight change, average daily steps, and physical activity tracking frequency between a 4-week period of continuous tracking and a 4-week period preceding the stop in weight tracking. Additional mixed effects models investigated subsequent changes in physical activity data during 4 weeks of the 6-week long stop in weight tracking.
resultsPeople lost weight during continuous tracking (mean -0.47 kg, SD 1.73) but gained weight preceding the stop in weight tracking (mean 0.25 kg, SD 1.62; difference 0.71 kg; 95% CI 0.60 to 0.81). Average daily steps (beta=-220 daily steps per time period; 95% CI -320 to -120) and physical activity tracking frequency (beta=-3.4 days per time period; 95% CI -3.8 to -3.1) significantly declined from the continuous tracking to the pre-stop period. From pre-stop to post-stop, physical activity tracking frequency further decreased (beta=-6.6 days per time period; 95% CI -7.12 to -6.16), whereas daily step count on the day's activity was measured increased (beta=110 daily steps per time period; 95% CI 50 to 170).
conclusionsIn the weeks before people stop tracking their weight, their physical activity and physical activity monitoring frequency decline. At the same time, weight increases, suggesting that declining motivation for weight control and difficulties with making use of negative weight feedback might explain why people stop tracking their weight. The increase in daily steps but decrease in physical activity tracking frequency post-stop might result from selective measurement of more active days.
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