The Effect of Adherence to Dietary Tracking on Weight Loss: Using HLM to Model Weight Loss over Time

The role of dietary tracking on weight loss remains unexplored despite being part of multiple diabetes and weight management programs. Hence, participants of the Diabetes Prevention and Management (DPM) program (12 months, 22 sessions) tracked their food intake for the duration of the study. A scatt...

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Main Authors: John Spencer Ingels, Ranjita Misra, Jonathan Stewart, Brandon Lucke-Wold, Samantha Shawley-Brzoska
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Journal of Diabetes Research
Online Access:http://dx.doi.org/10.1155/2017/6951495
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spelling doaj-3832372975fb4be381d79b65961e32f92020-11-24T23:21:15ZengHindawi LimitedJournal of Diabetes Research2314-67452314-67532017-01-01201710.1155/2017/69514956951495The Effect of Adherence to Dietary Tracking on Weight Loss: Using HLM to Model Weight Loss over TimeJohn Spencer Ingels0Ranjita Misra1Jonathan Stewart2Brandon Lucke-Wold3Samantha Shawley-Brzoska4West Virginia University, Morgantown, WV, USAWest Virginia University, Morgantown, WV, USAWest Virginia University, Morgantown, WV, USAWest Virginia University, Morgantown, WV, USAWest Virginia University, Morgantown, WV, USAThe role of dietary tracking on weight loss remains unexplored despite being part of multiple diabetes and weight management programs. Hence, participants of the Diabetes Prevention and Management (DPM) program (12 months, 22 sessions) tracked their food intake for the duration of the study. A scatterplot of days tracked versus total weight loss revealed a nonlinear relationship. Hence, the number of possible tracking days was divided to create the 3 groups of participants: rare trackers (<33% total days tracked), inconsistent trackers (33–66% total days tracked), and consistent trackers (>66% total days tracked). After controlling for initial body mass index, hemoglobin A1c, and gender, only consistent trackers had significant weight loss (−9.99 pounds), following a linear relationship with consistent loss throughout the year. In addition, the weight loss trend for the rare and inconsistent trackers followed a nonlinear path, with the holidays slowing weight loss and the onset of summer increasing weight loss. These results show the importance of frequent dietary tracking for consistent long-term weight loss success.http://dx.doi.org/10.1155/2017/6951495
collection DOAJ
language English
format Article
sources DOAJ
author John Spencer Ingels
Ranjita Misra
Jonathan Stewart
Brandon Lucke-Wold
Samantha Shawley-Brzoska
spellingShingle John Spencer Ingels
Ranjita Misra
Jonathan Stewart
Brandon Lucke-Wold
Samantha Shawley-Brzoska
The Effect of Adherence to Dietary Tracking on Weight Loss: Using HLM to Model Weight Loss over Time
Journal of Diabetes Research
author_facet John Spencer Ingels
Ranjita Misra
Jonathan Stewart
Brandon Lucke-Wold
Samantha Shawley-Brzoska
author_sort John Spencer Ingels
title The Effect of Adherence to Dietary Tracking on Weight Loss: Using HLM to Model Weight Loss over Time
title_short The Effect of Adherence to Dietary Tracking on Weight Loss: Using HLM to Model Weight Loss over Time
title_full The Effect of Adherence to Dietary Tracking on Weight Loss: Using HLM to Model Weight Loss over Time
title_fullStr The Effect of Adherence to Dietary Tracking on Weight Loss: Using HLM to Model Weight Loss over Time
title_full_unstemmed The Effect of Adherence to Dietary Tracking on Weight Loss: Using HLM to Model Weight Loss over Time
title_sort effect of adherence to dietary tracking on weight loss: using hlm to model weight loss over time
publisher Hindawi Limited
series Journal of Diabetes Research
issn 2314-6745
2314-6753
publishDate 2017-01-01
description The role of dietary tracking on weight loss remains unexplored despite being part of multiple diabetes and weight management programs. Hence, participants of the Diabetes Prevention and Management (DPM) program (12 months, 22 sessions) tracked their food intake for the duration of the study. A scatterplot of days tracked versus total weight loss revealed a nonlinear relationship. Hence, the number of possible tracking days was divided to create the 3 groups of participants: rare trackers (<33% total days tracked), inconsistent trackers (33–66% total days tracked), and consistent trackers (>66% total days tracked). After controlling for initial body mass index, hemoglobin A1c, and gender, only consistent trackers had significant weight loss (−9.99 pounds), following a linear relationship with consistent loss throughout the year. In addition, the weight loss trend for the rare and inconsistent trackers followed a nonlinear path, with the holidays slowing weight loss and the onset of summer increasing weight loss. These results show the importance of frequent dietary tracking for consistent long-term weight loss success.
url http://dx.doi.org/10.1155/2017/6951495
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