PURPOSE: To explore the hypothesis that a combination of several risk factors acting through the same pathway may produce an overall large increase in risk even in the presence of weak associations with each individual factor. METHODS: Using oxidative stress pathway as an example, we propose an oxidative stress score (OSS), where high and low pro-oxidant exposures expressed as continuous variables are assigned values of 0 and 1, while high and low antioxidant exposures are assigned values of 1 and 0, respectively. Dichotomous variables for pro-oxidant and antioxidant exposures are scored in a similar fashion. All individual scores are then summed to calculate the overall OSS, where higher and lower values indicate a shift toward antioxidant and pro-oxidant exposures, respectively. RESULTS: We illustrate this approach by using data from two previously-conducted case-control studies: a colonoscopy-based colorectal adenoma study, and a population-based prostate cancer study. In this pilot illustration we found a substantial decrease in risk associated with a high OSS for both prostate cancer and colorectal adenoma. By contrast, analyses for individual OSS components demonstrated no discernible pattern. CONCLUSIONS: Our exploratory analyses serve as a demonstration of a method and warrant further confirmation on a larger scale.
PURPOSE: To explore the hypothesis that a combination of several risk factors acting through the same pathway may produce an overall large increase in risk even in the presence of weak associations with each individual factor. METHODS: Using oxidative stress pathway as an example, we propose an oxidative stress score (OSS), where high and low pro-oxidant exposures expressed as continuous variables are assigned values of 0 and 1, while high and low antioxidant exposures are assigned values of 1 and 0, respectively. Dichotomous variables for pro-oxidant and antioxidant exposures are scored in a similar fashion. All individual scores are then summed to calculate the overall OSS, where higher and lower values indicate a shift toward antioxidant and pro-oxidant exposures, respectively. RESULTS: We illustrate this approach by using data from two previously-conducted case-control studies: a colonoscopy-based colorectal adenoma study, and a population-based prostate cancer study. In this pilot illustration we found a substantial decrease in risk associated with a high OSS for both prostate cancer and colorectal adenoma. By contrast, analyses for individual OSS components demonstrated no discernible pattern. CONCLUSIONS: Our exploratory analyses serve as a demonstration of a method and warrant further confirmation on a larger scale.
Authors: Michael Goodman; Roberd M Bostick; Myron Gross; Bharat Thyagarajan; Chiranjeev Dash; W Dana Flanders Journal: Ann Epidemiol Date: 2010-12 Impact factor: 3.797
Authors: So Yeon J Kong; Roberd M Bostick; W Dana Flanders; William M McClellan; Bharat Thyagarajan; Myron D Gross; Suzanne Judd; Michael Goodman Journal: Cancer Epidemiol Biomarkers Prev Date: 2014-01-17 Impact factor: 4.254
Authors: So Yeon Kong; Michael Goodman; Suzanne Judd; Roberd M Bostick; W Dana Flanders; William McClellan Journal: Ann Epidemiol Date: 2015-01-16 Impact factor: 3.797
Authors: Julia Labadie; Michael Goodman; Bharat Thyagarajan; Myron Gross; Yan Sun; Veronika Fedirko; Roberd M Bostick Journal: Ann Epidemiol Date: 2013-01-03 Impact factor: 3.797
Authors: Veronika Fedirko; Roberd M Bostick; Qi Long; W Dana Flanders; Marjorie L McCullough; Eduard Sidelnikov; Carrie R Daniel; Robin E Rutherford; Aasma Shaukat Journal: Cancer Epidemiol Biomarkers Prev Date: 2010-01 Impact factor: 4.254
Authors: Titilayo O Ilori; Young Sun Ro; So Yeon Kong; Orlando M Gutierrez; Akinlolu O Ojo; Suzanne E Judd; K M Venkat Narayan; Michael Goodman; Laura Plantinga; William McClellan Journal: Am J Nephrol Date: 2015-11-17 Impact factor: 3.754