{"doi":"10.1111/ijpo.70035","title":"The effect of continuous glucose monitoring feedback on glycaemic variability in youth with obesity: A within‐participant feasibility study","abstract":"BACKGROUND: Continuous glucose monitors (CGM) offer real-time biofeedback that might support behavioural changes to reduce obesity in youth. However, the feasibility and acceptability of CGM in this population remain underexplored. METHODS: A 6-week crossover trial was conducted with youth aged 10-18 years with a body mass index above the 95th percentile. Participants experienced two phases in random order: (1) masked CGM (without data access) and (2) unmasked CGM (with real-time data access). The primary objective was to assess feasibility through recruitment, retention and adherence rates. Secondary measures included CGM-derived glucose metrics, sleep patterns, dietary intake, physical activity, eating behaviours and weight change. Descriptive analyses and mixed-effects regression models were used to examine between-condition differences on an intention-to-treat basis. RESULTS: Of 30 eligible participants, 27 were enrolled (90% recruitment rate; age: 14.5 ± 2.2 years, HbA1c: 5.5 ± 0.24%, 15/27 [55%] Hispanic, 16/27 [59%] female). Of the enrolled participants, 24 completed the protocol. Adherence averaged 35.1 days over 42 days (87% of days). The CGM was well tolerated, with no adverse effects reported. There was no significant difference in glycaemic variability metrics between masked and unmasked conditions over the 6-week period. CONCLUSIONS: This trial supports the feasibility and acceptability of CGM use in youth with obesity. Given the exploratory nature of this study, longer-term research is needed to evaluate its effectiveness in modifying health behaviours and metabolic outcomes in this population.","journal":"Pediatric Obesity","year":2025,"id":534032,"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":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9117,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":321463,"name":"Steven D. Mittelman","orcid":"0000-0003-2867-1298","position":1,"is_corresponding":false},{"id":888125,"name":"Alexandra M. Klomhaus","orcid":"0000-0002-7676-3595","position":2,"is_corresponding":false},{"id":963164,"name":"My H. Vu","orcid":"0000-0002-2772-7926","position":3,"is_corresponding":false},{"id":1416201,"name":"Manal Habib","orcid":"0000-0002-0046-1259","position":4,"is_corresponding":false},{"id":672804,"name":"Lauren E. Wisk","orcid":"0000-0003-2932-4140","position":5,"is_corresponding":false},{"id":31176,"name":"David S. Black","orcid":"0000-0002-6035-6186","position":6,"is_corresponding":false},{"id":401844,"name":"Alaina P. Vidmar","orcid":"0000-0003-3790-6255","position":7,"is_corresponding":false},{"id":1416200,"name":"Sri Nikhita Chimatapu","orcid":"0000-0002-5295-0513","position":0,"is_corresponding":true}],"reference_count":46,"raw_metadata":null,"created_at":"2026-07-19T02:51:43.451278Z","pmid":"40590379","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":[]}