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) |
|---|---|
| Pages (from-to) | 56-61.e1 |
| Journal | Journal of Nutrition Education and Behavior |
| Volume | 50 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 2018 |
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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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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, 01.2018, p. 56-61.e1.Research output: Contribution to journal › Article
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
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.
KW - adherence
KW - apps
KW - diet
KW - diet tracking
KW - obesity
KW - self-monitoring
KW - technology
UR - http://www.scopus.com/inward/record.url?scp=85041659245&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85041659245&partnerID=8YFLogxK
U2 - 10.1016/j.jneb.2016.12.004
DO - 10.1016/j.jneb.2016.12.004
M3 - Article
C2 - 29325663
AN - SCOPUS:85041659245
VL - 50
SP - 56-61.e1
JO - Journal of Nutrition Education and Behavior
JF - Journal of Nutrition Education and Behavior
SN - 1499-4046
IS - 1
ER -