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

Christine A. Pellegrini*, David E. Conroy, Siobhan M Phillips, Angela Fidler Pfammatter, H. Gene McFadden, Bonnie Spring

*Corresponding author for this work

Research output: Contribution to journalArticle

3 Citations (Scopus)

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 languageEnglish (US)
Pages (from-to)56-61.e1
JournalJournal of Nutrition Education and Behavior
Volume50
Issue number1
DOIs
StatePublished - Jan 1 2018

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Technology
Weight Reduction Programs
Food
Weight Loss
Smartphone

Keywords

  • adherence
  • apps
  • diet
  • diet tracking
  • obesity
  • self-monitoring
  • technology

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Nutrition and Dietetics

Cite this

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title = "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.",
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Daily and Seasonal Influences on Dietary Self-monitoring Using a Smartphone Application. / Pellegrini, Christine A.; Conroy, David E.; Phillips, Siobhan M; Pfammatter, Angela Fidler; McFadden, H. Gene; Spring, Bonnie.

In: Journal of Nutrition Education and Behavior, Vol. 50, No. 1, 01.01.2018, p. 56-61.e1.

Research output: Contribution to journalArticle

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AU - McFadden, H. Gene

AU - Spring, Bonnie

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