{"doi":"10.1111/apa.70012","title":"Diet, Activity and Sleep Clusters Associated With Obesity Markers of Children in the US‐Affiliated Pacific","abstract":"AIM: Among children in the US-Affiliated Pacific, we aimed to identify lifestyle clusters and associations with obesity. METHODS: Movement behaviours, diet and anthropometrics were from the Children's Healthy Living Program (n = 1780; 2012-2015). Partitioning-around-medoids identified clusters; regression examined differences in anthropometrics. RESULTS: Among 2-5-year-olds, boys' clusters were: (1) high %energy from (E%) fat and sedentary behaviour; (2) high screen time and energy intake and (3) long sleep. Body mass index z-score (zBMI) was lower in Cluster 3 versus 1 (-0.28 [-0.50; -0.07], p = 0.01). Girls' clusters were: (1) high energy intake; (2) low E% fat and (3) high physical activity and sleep. zBMI was lower in Cluster 3 versus 1 (-0.34 [-0.55; -0.13], p = 0.002). Among 6-8-year-olds, boys' clusters were: (1) high screen time; (2) high energy intake; (3) high E% protein; (4) long sleep and (5) high sedentary time and low E% saturated fat. Compared with Cluster 1, zBMI was lower in Clusters 3 (-0.43 [-0.84; -0.02], p = 0.04), 4 (-0.64 [-1.08; -0.20], p = 0.004) and 5 (-0.93 [-1.35; -0.51], p < 0.001). Girls' clusters were: (1) high E% fat and protein; (2) high screen time and energy intake; (3) short sleep and high physical activity (4) long sleep and (5) low sedentary time. Compared with Cluster 1, zBMI was lower in Clusters 2 (-0.57 [-0.98; -0.17], p = 0.006), 3 (-0.48 [-0.81; -0.14], p = 0.005) and 5 (-0.50 [-0.83; -0.18], p = 0.003). CONCLUSION: Various lifestyle patterns support healthy body weight. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT01881373.","journal":"Acta Paediatrica","year":2025,"id":562488,"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":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.7509,"is_data_producer":true,"deposit_databanks":{"ClinicalTrials.gov":["NCT01881373"]},"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":719009,"name":"Ashley B. Yamanaka","orcid":"0000-0003-1503-2032","position":1,"is_corresponding":false},{"id":638163,"name":"Kar Hau Chong","orcid":"0000-0002-3893-4306","position":2,"is_corresponding":false},{"id":42142,"name":"Anthony D. Okely","orcid":"0000-0002-1626-8170","position":3,"is_corresponding":false},{"id":11264,"name":"Lynne R. Wilkens","orcid":"0000-0001-8408-4536","position":4,"is_corresponding":false},{"id":311542,"name":"Yurii B. Shvetsov","orcid":"0000-0001-5131-9618","position":5,"is_corresponding":false},{"id":586155,"name":"Chloe Panizza","orcid":"0000-0003-4278-1602","position":6,"is_corresponding":false},{"id":635876,"name":"Rachel Novotny","orcid":"0000-0002-9503-9471","position":7,"is_corresponding":false},{"id":1227041,"name":"Dorothea Dumuid","orcid":"0000-0003-3057-0963","position":0,"is_corresponding":true}],"reference_count":39,"raw_metadata":null,"created_at":"2026-07-19T02:56:05.550545Z","pmid":"39989394","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":[]}