{"doi":"10.1093/tbm/ibab015","title":"Patterns of self-monitoring technology use and weight loss in people with overweight or obesity","abstract":"Mobile applications and paired devices allow individuals to self-monitor physical activity, dietary intake, and weight fluctuation concurrently. However, little is known regarding patterns of use of these self-monitoring technologies over time and their implications for weight loss. The objectives of this study were to identify distinct patterns of self-monitoring technology use and to investigate the associations between these patterns and weight change. We analyzed data from a 6-month weight loss intervention for school district employees with overweight or obesity (N = 225). We performed repeated measures latent profile analysis (RMLPA) to identify common patterns of self-monitoring technology use and used multiple linear regression to evaluate the relationship between self-monitoring technology use and weight change. RMLPA revealed four distinct profiles: minimal users (n = 65, 29% of sample), activity trackers (n = 124, 55%), dedicated all-around users (n = 25, 11%), and dedicated all-around users with exceptional food logging (n = 11, 5%). The dedicated all-around users with exceptional food logging lost the most weight (X2[1,225] = 5.27, p = .0217). Multiple linear regression revealed that, adjusting for covariates, only percentage of days of wireless weight scale use (B = -0.05, t(212) = -3.79, p < .001) was independently associated with weight loss. We identified distinct patterns in mHealth self-monitoring technology use for tracking weight loss behaviors. Self-monitoring of weight was most consistently linked to weight loss, while exceptional food logging characterized the group with the greatest weight loss. Weight loss interventions should promote self-monitoring of weight and consider encouraging food logging to individuals who have demonstrated consistent use of self-monitoring technologies.","journal":"Translational Behavioral Medicine","year":2021,"id":186929,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":19,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9499,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":544331,"name":"Margaret Raber","orcid":"0000-0003-2403-9607","position":1,"is_corresponding":false},{"id":250632,"name":"Yue Liao","orcid":"0000-0002-9384-336X","position":2,"is_corresponding":false},{"id":506362,"name":"Ivan H. C. Wu","orcid":"0000-0002-0118-0555","position":3,"is_corresponding":false},{"id":413778,"name":"Nathan H. Parker","orcid":"0000-0002-8947-7942","position":4,"is_corresponding":false},{"id":405094,"name":"Leticia A. Gatus","orcid":"0000-0001-6449-7579","position":5,"is_corresponding":false},{"id":507419,"name":"Thuan Le","orcid":null,"position":6,"is_corresponding":false},{"id":745785,"name":"Casey P. Durand","orcid":"0000-0003-4890-276X","position":7,"is_corresponding":false},{"id":273720,"name":"Karen Basen‐Engquist","orcid":"0000-0001-7299-0646","position":8,"is_corresponding":false},{"id":441760,"name":"Michael C Robertson","orcid":"0000-0002-2240-014X","position":0,"is_corresponding":true}],"reference_count":48,"raw_metadata":null,"created_at":"2026-07-18T23:48:51.315888Z","pmid":"33837792","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":[]}