摘要:Abstract Traditionally, urinary analyte concentrations (UACObs) are divided by the observed urine creatinine (UCRObs) concentrations to allow for hydration correction. However, this method ignores the variability in the levels of urine creatinine due to such factors as age, gender, race/ethnicity, and others. Consequently, a method to develop a correction factor that incorporates adjustment due to most, if not all the factors that may affect urine creatinine concentrations was developed. This correction factor is applied to UCRObs to determine UCRCorr, which can then be used in place of UCRObs to compute modified creatinine-corrected analyte concentration as UACObs/UCRCorr instead of UACObs/UCRObs. For this study, data for urine creatinine from National Health and Nutrition Examination Survey (NHANES) for 2007–2010 were used to develop this correction factor to account for variability in urine creatinine due to age, race/ethnicity, gender, and body mass index. For each participant, correction factor β and its standard error for each of the 64 categories of age-race/ethnicity-gender were computed. In order to compute creatinine-corrected analyte concentration, observed analyte concentration was divided by the corrected value of observed urine creatinine whereas the corrected value of urine creatinine was the observed value minus the correction factor. Correction factor for each participant was a random number drawn from the normal distribution with mean β and standard deviation SE. The proposed methodology was applied to the 2009–2010 NHANES data for urinary 3-phenoxybenzoic acid, for 2013–2014 NHANES data for urinary cadmium and lead, and NHANES 2011–2012 data for urinary perchlorate, nitrate, and thiocyanate.