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

Publication ,  Journal Article
Kay, MC; Miller, HN; Askew, S; Spaulding, EM; Chisholm, M; Christy, J; Yang, Q; Steinberg, DM
Published in: AJPM Focus
December 2022

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.

Duke Scholars

Published In

AJPM Focus

DOI

EISSN

2773-0654

Publication Date

December 2022

Volume

1

Issue

2

Start / End Page

100037

Location

United States
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Kay, M. C., Miller, H. N., Askew, S., Spaulding, E. M., Chisholm, M., Christy, J., … Steinberg, D. M. (2022). Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial. AJPM Focus, 1(2), 100037. https://doi.org/10.1016/j.focus.2022.100037
Kay, Melissa C., Hailey N. Miller, Sandy Askew, Erin M. Spaulding, Miriam Chisholm, Jacob Christy, Qing Yang, and Dori M. Steinberg. “Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial.AJPM Focus 1, no. 2 (December 2022): 100037. https://doi.org/10.1016/j.focus.2022.100037.
Kay MC, Miller HN, Askew S, Spaulding EM, Chisholm M, Christy J, et al. Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial. AJPM Focus. 2022 Dec;1(2):100037.
Kay, Melissa C., et al. “Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial.AJPM Focus, vol. 1, no. 2, Dec. 2022, p. 100037. Pubmed, doi:10.1016/j.focus.2022.100037.
Kay MC, Miller HN, Askew S, Spaulding EM, Chisholm M, Christy J, Yang Q, Steinberg DM. Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial. AJPM Focus. 2022 Dec;1(2):100037.

Published In

AJPM Focus

DOI

EISSN

2773-0654

Publication Date

December 2022

Volume

1

Issue

2

Start / End Page

100037

Location

United States