{"doi":"10.1016/j.annepidem.2015.01.004","title":"Oxidative balance score as predictor of all-cause, cancer, and noncancer mortality in a biracial US cohort","abstract":null,"journal":"Annals of Epidemiology","year":2015,"id":606565,"datarank":0.6681520944380261,"base_score":4.454347296253507,"endowment":4.454347296253507,"self_citation_contribution":0.6681520944380261,"citation_network_contribution":0.0,"self_endowment_contribution":0.6681520944380261,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":85,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1350357,"name":"Michael Goodman","orcid":"0000-0001-6320-9707","position":1,"is_corresponding":false},{"id":1365774,"name":"Suzanne Judd","orcid":null,"position":2,"is_corresponding":false},{"id":339565,"name":"Roberd M. Bostick","orcid":"0000-0001-8626-4186","position":3,"is_corresponding":false},{"id":78319,"name":"W. Dana Flanders","orcid":"0000-0003-4069-3262","position":4,"is_corresponding":false},{"id":766206,"name":"William McClellan","orcid":null,"position":5,"is_corresponding":false},{"id":416163,"name":"So Yeon Kong","orcid":"0000-0001-5106-7342","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Oxidative balance score as predictor of all-cause, cancer, and noncancer mortality in a biracial US cohort","abstract":"<h4>Purpose</h4>We previously proposed an oxidative balance score (OBS) that combines pro- and anti-oxidant exposures to represent the overall oxidative balance status of an individual. In this study, we investigated associations of the OBS with all-cause and cause-specific mortality, and explored alternative OBS weighting methods in the Reasons for Geographic and Racial Differences in Stroke Study cohort.<h4>Methods</h4>The OBS was calculated by combining information from 14 a priori selected pro- and anti-oxidant factors and then divided into quartiles with the lowest quartile (predominance of pro-oxidants) as reference. Cox proportional hazard models were used to estimate adjusted hazard ratios and 95% confidence intervals for each OBS category compared with the reference.<h4>Results</h4>Over a median 5.8 years of follow-up, 2079 of the 21,031 participants died. The multivariable-adjusted hazard ratios (95% confidence interval) for all-cause, cancer, and noncancer mortality for those in the highest versus the lowest equal-weighting OBS quartile were 0.70 (0.61-0.81), 0.50 (0.37-0.67), and 0.77 (0.66-0.89), respectively (P trend < .01 for all). Similar results were observed with all weighting methods.<h4>Conclusions</h4>These results suggest that individuals with a greater balance of antioxidant to pro-oxidant lifestyle exposures may have lower mortality.","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"25682727","pmcid":"PMC4369443","openalex_id":null,"authors":[],"funders":[{"funder_name":"NINDS NIH HHS","grant_id":"U01 NS041588","title":null},{"funder_name":"NINDS NIH HHS","grant_id":"R01 NS041588","title":null},{"funder_name":"Department of Health and Human Services","grant_id":"","title":null},{"funder_name":"National Institute of Neurological Disorders and Stroke","grant_id":"","title":null},{"funder_name":"National Institutes of Health","grant_id":"","title":null}],"total_grants":5,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[],"oa_status":"green","license":"https://www.elsevier.com/legal/tdmrep-license","oa_locations":[{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4369443","host_type":"repository"},{"url":"https://api.elsevier.com/content/article/PII:S1047279715000265?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S1047279715000265?httpAccept=text/plain","host_type":"publisher"}],"fields_of_study":[],"mesh_terms":["Humans","Neoplasms","Mortality","Proportional Hazards Models","Age Factors","Sex Factors","Oxidation-Reduction","Oxidative Stress","Aged","Middle Aged","United States","Female","Male","Racial Groups"],"keywords":["Mortality","Oxidative stress","Oxidative Balance Score"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-30T04:48:33.926803Z","pmid":null,"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":[]}