{"doi":"10.1111/dme.14637","title":"Identifying HbA1c trajectories and modifiable risk factors of trajectories in 5‐ to 9‐year‐olds with recent‐onset type 1 diabetes from the United States","abstract":"OBJECTIVE: To explore glycated haemoglobin (HbA1c) patterns in 5- to 9-year-olds in the recent-onset period of type 1 diabetes and identify parent psychosocial factors that may predict children's HbA1c trajectory using a prospective, longitudinal design. RESEARCH DESIGN AND METHODS: We measured family demographics and parent psychosocial factors at baseline. We collected HbA1c levels from children every 3 months for up to 30 months. Deriving several features around HbA1c trends, we used k-means clustering to group trajectories and linear and logistic regressions to identify parent psychosocial predictors of children's HbA1c trajectories. RESULTS: The final cohort included 106 families (48 boys, mean child age 7.50 ± 1.35 years and mean diabetes duration 4.71 ± 3.19 months). We identified four unique HbA1c trajectories in children: high increasing, high stable, intermediate increasing and low stable. Compared to a low stable trajectory, increasing parent-reported hypoglycaemia fear total score was associated with decreased odds of having a high stable or intermediate increasing trajectory. Increasing parent-reported diabetes-specific family conflict total score was associated with increased odds of having a high stable or intermediate increasing trajectory. CONCLUSIONS: We are the first to identify distinct HbA1c trajectories in 5- to 9-year-olds with recent-onset type 1 diabetes as well as parent psychosocial factors that may predict high stable or increasing trajectories and could represent future treatment targets.","journal":"Diabetic Medicine","year":2021,"id":205890,"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":7,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8497,"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":461949,"name":"Keith Feldman","orcid":"0000-0001-6935-5844","position":1,"is_corresponding":false},{"id":759415,"name":"Shideh Majidi","orcid":"0000-0003-4899-3040","position":2,"is_corresponding":false},{"id":369494,"name":"Amy E. Noser","orcid":"0000-0002-7773-2969","position":3,"is_corresponding":false},{"id":390217,"name":"Mark A. Clements","orcid":"0000-0002-2368-0331","position":4,"is_corresponding":false},{"id":390212,"name":"Susana R. Patton","orcid":"0000-0002-8902-6965","position":0,"is_corresponding":true}],"reference_count":32,"raw_metadata":null,"created_at":"2026-07-18T23:51:37.630221Z","pmid":"34240466","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":[]}