{"doi":"10.1093/aje/kwaf118","title":"Sociodemographic, health-related, and clinical characteristics and their associations with mortality among All of Us participants compared with the United States general population","abstract":"The large and diverse All of Us Research Program offers tremendous opportunities for health research. However, results may not be generalizable to the US population due to the program's targeted recruitment efforts. We compared All of Us participants to those from the nationally representative continuous 1999-2018 National Health and Nutrition Examination Survey (NHANES) with respect to overall mortality rates; the distribution of sociodemographic, health-related, and clinical characteristics; the association of each characteristic with mortality estimated using Cox proportional hazards models; and population attributable fractions (PAFs) for each characteristic and mortality. All of Us participants were older, less likely to be non-Hispanic White, had more years of education, and had a higher prevalence of major chronic conditions than NHANES. Mortality rates were generally lower for All of Us participants, especially at older ages. The direction of associations in All of Us and NHANES matched for almost all comparisons but differed in magnitude for some conditions, primarily clinical diagnoses. PAFs were generally higher in All of Us. Predictors of mortality in All of Us do not consistently generalize to the US population. Analytical approaches are needed to address nonrepresentativeness and mitigate potential biases associated with the selection into the All of Us cohort.","journal":"American Journal of Epidemiology","year":2025,"id":519765,"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":6,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8898,"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":1031101,"name":"Erin L. Ferguson","orcid":"0000-0003-3136-0001","position":1,"is_corresponding":false},{"id":1133247,"name":"Peter Buto","orcid":"0000-0001-5052-6009","position":2,"is_corresponding":false},{"id":748170,"name":"Ruijia Chen","orcid":"0000-0002-2759-9290","position":3,"is_corresponding":false},{"id":1388734,"name":"Anna C. Pederson","orcid":"0000-0003-4488-412X","position":4,"is_corresponding":false},{"id":1031103,"name":"Minhyuk Choi","orcid":"0009-0000-6658-5054","position":5,"is_corresponding":false},{"id":98931,"name":"Andrew Stokes","orcid":"0000-0002-8502-3636","position":6,"is_corresponding":false},{"id":19607,"name":"Deborah Blacker","orcid":"0000-0001-6107-7376","position":7,"is_corresponding":false},{"id":106142,"name":"M. Maria Glymour","orcid":"0000-0001-9644-3081","position":8,"is_corresponding":false},{"id":1207322,"name":"Jingxuan Wang","orcid":"0000-0002-9387-0480","position":0,"is_corresponding":true}],"reference_count":33,"raw_metadata":null,"created_at":"2026-07-19T02:49:23.618703Z","pmid":"40560532","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":[]}