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Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial

INTRODUCTION: The Dietary Approaches to Stop Hypertension dietary pattern is a proven way to manage hypertension, but adherence remains low. Dietary tracking applications offer a highly disseminable way to self-monitor intake on the pathway to reaching dietary goals but require consistent engagement...

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Autores principales: Kay, Melissa C., Miller, Hailey N., Askew, Sandy, Spaulding, Erin M., Chisholm, Miriam, Christy, Jacob, Yang, Qing, Steinberg, Dori M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10546506/
https://www.ncbi.nlm.nih.gov/pubmed/37791242
http://dx.doi.org/10.1016/j.focus.2022.100037
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author Kay, Melissa C.
Miller, Hailey N.
Askew, Sandy
Spaulding, Erin M.
Chisholm, Miriam
Christy, Jacob
Yang, Qing
Steinberg, Dori M.
author_facet Kay, Melissa C.
Miller, Hailey N.
Askew, Sandy
Spaulding, Erin M.
Chisholm, Miriam
Christy, Jacob
Yang, Qing
Steinberg, Dori M.
author_sort Kay, Melissa C.
collection PubMed
description INTRODUCTION: The Dietary Approaches to Stop Hypertension dietary pattern is a proven way to manage hypertension, but adherence remains low. Dietary tracking applications offer a highly disseminable way to self-monitor intake on the pathway to reaching dietary goals but require consistent engagement to support behavior change. Few studies use longitudinal dietary self-monitoring data to assess trajectories and predictors of engagement. We used dietary self-monitoring data from participants in Dietary Approaches to Stop Hypertension Cloud (N=59), a feasibility trial to improve diet quality among women with hypertension, to identify trajectories of engagement and explore associations between participant characteristics. METHODS: We used latent class growth modeling to identify trajectories of engagement with a publicly available diet tracking application and used bivariate and regression analyses to assess the associations of classifications of engagement with participant characteristics. RESULTS: We identified 2 latent classes of engagement: consistent engagers and disengagers. Consistent engagers were more likely to be older, more educated, and married or living with a partner. Although consistent engagers exhibited slightly greater changes in Dietary Approaches to Stop Hypertension score, the difference was not significant. CONCLUSIONS: This study highlights an important yet underutilized methodologic approach for uncovering dietary self-monitoring engagement patterns. Understanding how certain individuals engage with digital technologies is an important step toward designing cost-effective behavior change interventions. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.gov NCT03215472.
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spelling pubmed-105465062023-10-03 Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial Kay, Melissa C. Miller, Hailey N. Askew, Sandy Spaulding, Erin M. Chisholm, Miriam Christy, Jacob Yang, Qing Steinberg, Dori M. AJPM Focus Research Article INTRODUCTION: The Dietary Approaches to Stop Hypertension dietary pattern is a proven way to manage hypertension, but adherence remains low. Dietary tracking applications offer a highly disseminable way to self-monitor intake on the pathway to reaching dietary goals but require consistent engagement to support behavior change. Few studies use longitudinal dietary self-monitoring data to assess trajectories and predictors of engagement. We used dietary self-monitoring data from participants in Dietary Approaches to Stop Hypertension Cloud (N=59), a feasibility trial to improve diet quality among women with hypertension, to identify trajectories of engagement and explore associations between participant characteristics. METHODS: We used latent class growth modeling to identify trajectories of engagement with a publicly available diet tracking application and used bivariate and regression analyses to assess the associations of classifications of engagement with participant characteristics. RESULTS: We identified 2 latent classes of engagement: consistent engagers and disengagers. Consistent engagers were more likely to be older, more educated, and married or living with a partner. Although consistent engagers exhibited slightly greater changes in Dietary Approaches to Stop Hypertension score, the difference was not significant. CONCLUSIONS: This study highlights an important yet underutilized methodologic approach for uncovering dietary self-monitoring engagement patterns. Understanding how certain individuals engage with digital technologies is an important step toward designing cost-effective behavior change interventions. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.gov NCT03215472. Elsevier 2022-09-29 /pmc/articles/PMC10546506/ /pubmed/37791242 http://dx.doi.org/10.1016/j.focus.2022.100037 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Kay, Melissa C.
Miller, Hailey N.
Askew, Sandy
Spaulding, Erin M.
Chisholm, Miriam
Christy, Jacob
Yang, Qing
Steinberg, Dori M.
Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial
title Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial
title_full Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial
title_fullStr Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial
title_full_unstemmed Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial
title_short Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial
title_sort patterns of engagement with an application-based dietary self-monitoring tool within a randomized controlled feasibility trial
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10546506/
https://www.ncbi.nlm.nih.gov/pubmed/37791242
http://dx.doi.org/10.1016/j.focus.2022.100037
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