Disconcordance in statistical models of bisphenol A and chronic disease outcomes in NHANES 2003-08.

ABSTRACT:

Background

Bisphenol A (BPA), a high production chemical commonly found in plastics, has drawn great attention from researchers due to the substance's potential toxicity. Using data from three National Health and Nutrition Examination Survey (NHANES) cycles, we explored the consistency and robustness of BPA's reported effects on coronary heart disease and diabetes.

Methods and findings

We report the use of three different statistical models in the analysis of BPA: (1) logistic regression, (2) log-linear regression, and (3) dose-response logistic regression. In each variation, confounders were added in six blocks to account for demographics, urinary creatinine, source of BPA exposure, healthy behaviours, and phthalate exposure. Results were sensitive to the variations in func

SUBMITTER: Casey MF 

PROVIDER: S-EPMC3819299 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature