{"doi":"10.1093/eurjpc/zwaa131","title":"Non-exercise estimated cardiorespiratory fitness and mortality from all-causes, cardiovascular disease, and cancer in the NIH-AARP diet and health study","abstract":"AIMS: Impractical methods and relatively small cohort have limited the applications of non-exercise estimated cardiorespiratory fitness (NEE-CRF). This study aimed to assess the association between a pragmatic NEE-CRF method and mortality outcomes in a large prospective cohort. METHODS AND RESULTS: A total of 330 769 participants [men (n = 186 469) and women (n = 144 300)] aged 50-71 years from the NIH-AARP Diet and Health Study were assessed at baseline (1995-96) and prospectively followed until 31 December 2015 (14.9 ± 2.1 years). Non-exercise estimated cardiorespiratory fitness was estimated using pragmatic and previously validated equation, and Cox hazard analysis for mortality was conducted. Non-exercise estimated cardiorespiratory fitness was 9.9 ± 1.5 metabolic equivalents (METs) in men and 7.2 ± 1.6 METs in women. In total, 34 317 men and 20 295 women died during the follow-up. Higher NEE-CRF was associated with lower mortality risk from all-causes, cardiovascular disease, and cancer. Compared to the lowest quartile of NEE-CRF, the hazard ratios and 95% confidence interval for all-cause mortality in the second, third, and fourth quartiles were: 0.82 (0.79-0.84), 0.74 (0.72-0.77), and 0.70 (0.67-0.73) for men, and 0.84 (0.81-0.88), 0.78 (0.75-0.82), and 0.72 (0.68-0.77) for women (P trend <0.001 for all). For each 1-MET increase in NEE-CRF, risks for mortality due to cardiovascular disease and cancer were 0.85 (0.82-0.88) and 0.89 (0.87-0.91) in men, and 0.84 (0.81-0.88) and 0.89 (0.87-0.91) in women, respectively (P < 0.001 for all). CONCLUSION: Higher NEE-CRF is independently associated with lower mortality risk in a large prospective cohort of men and women. These results support the utility of the applied NEE-CRF method for risk stratification, prevention, and rehabilitation programs and application in large epidemiological studies.","journal":"European Journal of Preventive Cardiology","year":2020,"id":103685,"datarank":0.4887144807032224,"base_score":3.258096538021482,"endowment":3.258096538021482,"self_citation_contribution":0.4887144807032224,"citation_network_contribution":0.0,"self_endowment_contribution":0.4887144807032224,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":25,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.7635,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":397973,"name":"Jonathan Myers","orcid":"0000-0003-2592-136X","position":1,"is_corresponding":false},{"id":231465,"name":"Charles E. Matthews","orcid":"0000-0001-8037-3103","position":2,"is_corresponding":false},{"id":504752,"name":"Baruch Vainshelboim","orcid":"0000-0003-4908-181X","position":0,"is_corresponding":true}],"reference_count":31,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-18T22:42:48.999009Z","pmid":"33624091","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":[]}