Daily and Seasonal Influences on Dietary Self-monitoring Using a Smartphone Application

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.

Keywords: adherence; apps; diet; diet tracking; obesity; self-monitoring; technology.

Copyright © 2016 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.

Figures

Figure 1

The Number of Food Items Recorded Daily Decreased During a 6-Month Technology-Supported Behavioral Weight Loss Intervention

Figure 2

Adjusted Multilevel Model Coefficients by Day of the Week Based on the Number of Foods Self-Monitored