{"doi":"10.1101/2024.07.09.24310149","title":"Multinational evaluation of anthropometric age (AnthropoAge) as a measure of biological age in the USA, England, Mexico, Costa Rica, and China: a population-based longitudinal study","abstract":"OBJECTIVE: To validate AnthropoAge, a new metric of biological age (BA), for prediction of all-cause mortality and age-related outcomes and characterize population-specific aging patterns using multinational longitudinal cohorts. METHODS: We analyzed harmonized multinational data from the Gateway to Global Aging, including studies from the US, England, Mexico, Costa Rica, and China. We used body mass index and waist-to-height ratio to estimate AnthropoAge and AnthropoAgeAccel in participants aged 50-90 years old as proxies of BA and age acceleration, respectively. We compared the predictive capacity for all-cause mortality of AnthropoAge and chronological age (CA) using Cox models, described aging trends in all countries and explored the utility of longitudinal assessments of AnthropoAgeAccel to predict new-onset functional decline and age-related diseases using generalized estimating equations (GEE). FINDINGS: Using data from 55,628 participants, we found AnthropoAge (c-statistic 0.772) outperformed CA (0.76) for prediction of mortality independently of comorbidities, sex, race/ethnicity, education, and lifestyle; this result was replicated in most countries individually except for Mexico. Individuals with accelerated aging had a ~39% higher risk of death, and AnthropoAge also identified trends of faster biological aging per year. In longitudinal analyses, higher AnthropoAgeAccel values were independently predictive of self-reported health deterioration and new-onset deficits in basic/instrumental activities of daily living (ADL/IADL), diabetes, hypertension, cancer, chronic lung disease, myocardial infarction, and stroke. CONCLUSIONS: AnthropoAge is a robust and reproducible BA metric associated with age-related outcomes. Its implementation could facilitate modeling trends of biological aging acceleration in different populations, although recalibration may enhance its utility in underrepresented populations such as individuals from Latin America.","journal":"medRxiv","year":2024,"id":488706,"datarank":0.16479184330021646,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"self_citation_contribution":0.16479184330021646,"citation_network_contribution":0.0,"self_endowment_contribution":0.16479184330021646,"citer_contribution":0.0,"corpus_percentile":29.844511487584125,"corpus_rank":8690,"citation_count":2,"citer_count":2,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.8333,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1110924,"name":"Daniel Ramírez‐García","orcid":"0000-0002-6899-246X","position":1,"is_corresponding":false},{"id":982084,"name":"Neftali Eduardo Antonio‐Villa","orcid":"0000-0002-6879-1078","position":2,"is_corresponding":false},{"id":1110923,"name":"Jerónimo Perezalonso-Espinosa","orcid":"0009-0002-9774-1210","position":3,"is_corresponding":false},{"id":1333288,"name":"Diego Aguilar-Ramírez","orcid":"0000-0003-2298-3768","position":4,"is_corresponding":false},{"id":1333289,"name":"Carmen García-Peña","orcid":"0000-0001-6380-7926","position":5,"is_corresponding":false},{"id":401908,"name":"Luis Miguel Gutiérrez‐Robledo","orcid":"0000-0002-9728-6644","position":6,"is_corresponding":false},{"id":251940,"name":"Jacqueline A. Seiglie","orcid":"0000-0001-9278-4516","position":7,"is_corresponding":false},{"id":1110928,"name":"Omar Yaxmehen Bello‐Chavolla","orcid":"0000-0003-3093-937X","position":8,"is_corresponding":false},{"id":1110920,"name":"Carlos A. Fermín‐Martínez","orcid":"0000-0001-5627-8851","position":0,"is_corresponding":true}],"reference_count":57,"raw_metadata":null,"created_at":"2026-07-19T02:08:19.655720Z","pmid":"39040174","pmcid":"PMC11261952","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":[]}