Abstract
Objective: To 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. Methods: Smartphone 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. Results: Participants 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.
Original language | English (US) |
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Pages (from-to) | 56-61.e1 |
Journal | Journal of Nutrition Education and Behavior |
Volume | 50 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2018 |
Keywords
- adherence
- apps
- diet
- diet tracking
- obesity
- self-monitoring
- technology
ASJC Scopus subject areas
- Medicine (miscellaneous)
- Nutrition and Dietetics