TY - JOUR
T1 - Daily and Seasonal Influences on Dietary Self-monitoring Using a Smartphone Application
AU - Pellegrini, Christine A.
AU - Conroy, David E.
AU - Phillips, Siobhan M.
AU - Pfammatter, Angela Fidler
AU - McFadden, H. Gene
AU - Spring, Bonnie
N1 - Publisher Copyright:
© 2016 Society for Nutrition Education and Behavior
PY - 2018/1
Y1 - 2018/1
N2 - 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.
AB - 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.
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U2 - 10.1016/j.jneb.2016.12.004
DO - 10.1016/j.jneb.2016.12.004
M3 - Article
C2 - 29325663
AN - SCOPUS:85041659245
SN - 1499-4046
VL - 50
SP - 56-61.e1
JO - Journal of Nutrition Education and Behavior
JF - Journal of Nutrition Education and Behavior
IS - 1
ER -