Trial reportJournal of nutrition education and behavior2018
Daily and Seasonal Influences on Dietary Self-monitoring Using a Smartphone Application.
Trial report in Journal of nutrition education and behavior, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01814072 (Opt-IN), which is not on this map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Opt-IN: Optimization of Remotely Delivered Intensive Lifestyle Treatment for Obesity
Who cites it
12 citing papers in PubMed.
- Assessing the Contribution of Self-Monitoring Through a Commercial Weight Loss App: Mediation and Predictive Modeling Study.JMIR mHealth and uHealth · 2021Trial
- Calorie-Counting Apps for Monitoring and Managing Calorie Intake in Adults Living With Weight-Related Chronic Diseases: Decade-Long Scoping Review (2013-2024).JMIR mHealth and uHealth · 2026Article
- Feasibility of mHealth Strategies to Promote Use of Wrist-Worn Alcohol Biosensors Among Young Adults With HIV: Protocol for the Engage Microrandomized Trial.JMIR research protocols · 2025Article
- Within-week and within-year patterns in self-monitoring of dietary intake in adults with obesity participating in a behavioral weight loss program.Health psychology and behavioral medicine · 2025Article
- Weekday-Weekend Differences in Chrononutritional Variables Depend on Urban or Rural Living.Nutrients · 2024Article
- Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review.JMIR mHealth and uHealth · 2023Article
- Retention, Fasting Patterns, and Weight Loss With an Intermittent Fasting App: Large-Scale, 52-Week Observational Study.JMIR mHealth and uHealth · 2022Observational
- Review
- Seasonal fluctuations in weight and self-weighing behavior among adults in a behavioral weight loss intervention.Eating and weight disorders : EWD · 2020Article
- Digital self-monitoring: Does adherence or association with outcomes differ by self-monitoring target?Obesity science & practice · 2020Article
- Mobile Apps for Weight Management: A Review of the Latest Evidence to Inform Practice.Frontiers in endocrinology · 2020Review
- Log Often, Lose More: Electronic Dietary Self-Monitoring for Weight Loss.Obesity (Silver Spring, Md.) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectiveTo examine within-person variation in dietary self-monitoring during a 6-month technology-supported weight loss trial as a function of time-varying factors including time in the study, day of the week, and month of the year.
methodsSmartphone self-monitoring data were examined from 31 obese adults (aged 18-60 years) who participated in a 6-month technology-supported weight loss program. Multilevel regression modeling was used to examine within-person variation in dietary self-monitoring.
resultsParticipants recorded less as time in the study progressed. Fewer foods were reported on the weekends compared with weekdays. More foods were self-monitored in January compared with October; however, a seasonal effect was not observed. CONCLUSIONS AND IMPLICATIONS: The amount of time in a study and day of the week were associated with dietary self-monitoring but not season. Future studies should examine factors that influence variations in self-monitoring and identify methods to improve technology-supported dietary self-monitoring adherence.
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Registered trials
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