{"doi":"10.1016/j.focus.2025.100381","title":"Heterogeneity in BMI Percentile and Weight Status Among Asian American Youth","abstract":"Introduction: There are important and understudied health differences among subgroups of Asian Americans. The authors examined differences in BMI percentile and body weight status among Asian American youth. Methods: The authors conducted a retrospective cohort study using electronic health records in 2011-2020 from 2 integrated healthcare systems in California. Single-race, non-Latino White, and Asian American youth aged 2-19 years during the study period were included. Asian American subgroups included East, South, Southeast, and unidentified. Whites were the reference group. Study outcomes included age- and sex-specific BMI percentile and body weight status category (underweight, overweight or obesity, obesity). Series of 1-sample estimates for study outcomes were calculated by calendar year and biological ages. Results: A total of 395,134 youth were included in the study (mean [SD] age at baseline of 8.26 [5.61] years; mean [SD] BMI percentile of 53.8 [30.3]), including 23,183 East Asians; 34,783 South Asians; and 34,738 Southeast Asians. Southeast Asians had the highest age-adjusted prevalence of obesity (2019 estimate: 13.3%) than East Asians (5.2%), South Asians (7.8%), and Whites (11.8%). South Asians had the highest prevalence of underweight (2019 estimate: 11.8%) than East Asians (5.5%), Southeast Asians (3.9%), and White (3.6%). Conclusions: Substantial heterogeneity among Asian American youth was found in the study cohort. Asian American youth face distinct challenges of unhealthy weight statuses unique to their subgroups.","journal":"AJPM Focus","year":2025,"id":544977,"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":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8213,"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":484945,"name":"Margo A. Sidell","orcid":"0000-0001-7963-4505","position":1,"is_corresponding":false},{"id":313721,"name":"Catherine Lee","orcid":"0000-0003-0008-9052","position":2,"is_corresponding":false},{"id":287903,"name":"Deborah Rohm Young","orcid":"0000-0002-8335-7851","position":3,"is_corresponding":false},{"id":322969,"name":"Monique M. Hedderson","orcid":"0000-0003-1768-0412","position":4,"is_corresponding":false},{"id":1435420,"name":"Deborah A. Cohen","orcid":"0000-0002-1506-3739","position":5,"is_corresponding":false},{"id":1088890,"name":"Emily F. Liu","orcid":"0000-0002-4036-4971","position":6,"is_corresponding":false},{"id":923478,"name":"Lee J. Barton","orcid":"0000-0002-6637-9418","position":7,"is_corresponding":false},{"id":1324528,"name":"Galina Inzhakova","orcid":null,"position":8,"is_corresponding":false},{"id":1409057,"name":"Bing Han","orcid":"0000-0001-6656-7761","position":9,"is_corresponding":false},{"id":1300500,"name":"Darcy Van Deventer","orcid":"0000-0003-3809-6258","position":0,"is_corresponding":true}],"reference_count":34,"raw_metadata":null,"created_at":"2026-07-19T02:53:17.418915Z","pmid":"40809375","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":[]}