{"doi":"10.1016/j.ajpc.2022.100452","title":"AHA Life's essential 8 and ideal cardiovascular health among young adults","abstract":"Objective: This study assessed cardiovascular health (CVH) in young adults using the 2022 AHA Life's Essential 8 (LE8) score and compared it with the Life's Simple 7 (LS7) score. Methods: Individuals aged 18 to 44 years without a history of cardiovascular disease in the National Health and Nutrition Examination Survey (NHANES) cycles were included. Data from 2007-2008 to 2017-2018 were combined to create 3 groups (2007-2010, 2011-2014, and 2015-2018) for analysis. The LE8 score and its components were computed in the overall population and stratified by sex and race/ethnicity. Trends for the LE8 score were analyzed using adjusted linear regression models. Results: :<0.05). The mean LE8 score was 69.2±0.3. Females (71.4±0.4) had better CVH compared with males (67.2±0.4). Non-Hispanic Black individuals (65.1± 0.3) had the lowest CVH compared with Non-Hispanic White individuals (69.9±0.5), Mexican American individuals (67.3±0.3), and other race individuals (71.2±0.4). Of the 46.1 million individuals categorized as intermediate CVH by the LS7 score, 8.1 million (17.6%) and 2.3 million (5.0%) were reclassified to poor and ideal CVH by the LE8 score, respectively. Of the 40.1 million individuals categorized as ideal CVH by the LS7 score, 18.9 million (47.1%) and 0.1 million (0.2%) were reclassified to poor CVH and intermediate CVH by the LE8 score, respectively. Conclusion: Among US young adults, there has been no improvement in CVH over the last decade with notable sex and race/ethnicity-associated differences in the LE8 score. Nearly 1 in 4 young adults had ideal CVH using the LE8 score compared with 1 in 2 individuals using the LS7 score.","journal":"American Journal of Preventive Cardiology","year":2022,"id":234592,"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":95,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.7816,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":301658,"name":"Vibhu Parcha","orcid":"0000-0002-4993-8177","position":1,"is_corresponding":false},{"id":374781,"name":"Nirav Patel","orcid":"0000-0003-1798-1880","position":2,"is_corresponding":false},{"id":850764,"name":"Ishant Yadav","orcid":"0000-0002-8987-9845","position":3,"is_corresponding":false},{"id":851897,"name":"Chandan Basetty","orcid":null,"position":4,"is_corresponding":false},{"id":851898,"name":"Cynthia Li","orcid":null,"position":5,"is_corresponding":false},{"id":294601,"name":"Ambarish Pandey","orcid":"0000-0001-9651-3836","position":6,"is_corresponding":false},{"id":301659,"name":"Rajat Kalra","orcid":"0000-0002-8982-0595","position":7,"is_corresponding":false},{"id":51220,"name":"Peng Li","orcid":"0000-0002-9026-9999","position":8,"is_corresponding":false},{"id":51221,"name":"Garima Arora","orcid":"0000-0001-6402-6910","position":9,"is_corresponding":false},{"id":51222,"name":"Pankaj Arora","orcid":"0000-0003-2420-3550","position":10,"is_corresponding":false},{"id":51209,"name":"Naman S. Shetty","orcid":"0000-0003-3600-126X","position":0,"is_corresponding":true}],"reference_count":70,"raw_metadata":null,"created_at":"2026-07-19T00:21:42.662304Z","pmid":"36636126","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":[]}