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ABSTRACT: Purpose
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.Methods
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.Results
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.Conclusions
These results suggest that individuals with a greater balance of antioxidant to pro-oxidant lifestyle exposures may have lower mortality.
SUBMITTER: Kong SY
PROVIDER: S-EPMC4369443 | biostudies-literature | 2015 Apr
REPOSITORIES: biostudies-literature

Kong So Yeon SY Goodman Michael M Judd Suzanne S Bostick Roberd M RM Flanders W Dana WD McClellan William W
Annals of epidemiology 20150116 4
<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 p ...[more]