{"doi":"10.1016/j.focus.2022.100037","title":"Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial","abstract":"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.","journal":"AJPM Focus","year":2022,"id":285483,"datarank":0.3261879911146517,"base_score":1.791759469228055,"endowment":1.791759469228055,"self_citation_contribution":0.26876392038420827,"citation_network_contribution":0.05742407073044341,"self_endowment_contribution":0.26876392038420827,"citer_contribution":0.05742407073044341,"corpus_percentile":null,"corpus_rank":null,"citation_count":5,"citer_count":5,"citers_with_citation_signal":3,"citers_with_endowment":3,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9631,"is_data_producer":true,"deposit_databanks":{"ClinicalTrials.gov":["NCT03215472"]},"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":721949,"name":"Hailey Miller","orcid":"0000-0001-6045-6542","position":1,"is_corresponding":false},{"id":464986,"name":"Sandy Askew","orcid":"0000-0002-4585-6115","position":2,"is_corresponding":false},{"id":435543,"name":"Erin M. Spaulding","orcid":"0000-0001-8390-2277","position":3,"is_corresponding":false},{"id":964106,"name":"Miriam Chisholm","orcid":"0000-0001-5263-7220","position":4,"is_corresponding":false},{"id":464987,"name":"Jacob Christy","orcid":"0000-0002-0964-051X","position":5,"is_corresponding":false},{"id":266520,"name":"Qing Yang","orcid":"0000-0003-4844-4690","position":6,"is_corresponding":false},{"id":347435,"name":"Dori Steinberg","orcid":"0000-0001-7588-4216","position":7,"is_corresponding":false},{"id":464985,"name":"Melissa C. Kay","orcid":"0000-0002-9695-3126","position":0,"is_corresponding":true}],"reference_count":73,"raw_metadata":null,"created_at":"2026-07-19T00:29:44.944555Z","pmid":"37791242","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}