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 - Funding Information:
This research was supported by Grants RC1DK087126 from the National Institute of Diabetes and Digestive and Kidney Diseases and K12HS023011 from the Agency for Healthcare Research and Quality . Support was also provided in part through the computational resources and staff contributions provided for the Social Sciences Computing Cluster at Northwestern University. Recurring funding for the Social Sciences Computing Cluster is provided by Office of the President, Weinberg College of Arts and Sciences, Kellogg School of Management, the School of Professional Studies, and Northwestern University Information Technology. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Agency for Healthcare Research and Quality.
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 -