Correction and comparability of phthalate metabolite measurements of Canadian biomonitoring studies (2007-2012).

Phthalate metabolites are often measured in biomonitoring studies to evaluate a population's exposure to ubiquitous phthalates. During the course of national biomonitoring studies in Canada, we identified an issue with the accuracy of several commercial phthalate metabolite standards that are commonly used in such studies. The validity of the results from these studies was then questioned. Altogether, three (3) large studies were affected, involving a total of 9302 samples and 105000 individual phthalate metabolite measurements. Data from our previous investigation suggested that the inaccuracies in the commercially-available phthalate metabolite standards were compound- and lot-specific. Therefore, an approach was developed to derive correction factors for each lot of phthalate metabolite standard and was applied to the previously-acquired measurements with the goal of obtaining accurate and comparable data. A statistical analysis was performed to support the approach. It is expected that the corrected phthalate metabolite data from all three Canadian biomonitoring studies are comparable to one another. However, caution is still advised when comparing data obtained from biomonitoring studies for which the calibration standards have not been investigated for their accuracy. Suggestions are made based on quality assurance aspects to improve the validity of phthalate metabolite measurements.

Biomonitoring of phthalate metabolites in the Canadian population through the Canadian Health Measures Survey (2007-2009).

Human exposure to phthalates occurs through multiple sources and pathways. In the Canadian Health Measures Survey 2007-2009, 11 phthalate metabolites, namely, MMP, MEP, MnBP, MBzP, MCHP, MCPP, MEHP, MEOHP, MEHHP, MnOP, and MiNP were measured in urine samples of 6-49 year old survey respondents (n=3236). The phthalate metabolites biomonitoring data from this nationally-representative Canadian survey are presented here. The metabolites MEP, MnBP, MBzP, MCPP, MEHP, MEOHP and MEHHP were detected in >90% of Canadians while MMP, MCHP, MnOP and MiNP were detected in <20% of the Canadian population. Step-wise regression analyses were carried out to identify important predictors of volumetric concentrations (µg/L) of the metabolites in the general population. Individual multiple regression models with covariates age, sex, creatinine, fasting status, and the interaction terms age×creatinine, age×sex and fasting status×creatinine were constructed for MEP, MnBP, MBzP, MCPP, MEHP, MEOHP and MEHHP. The least square geometric mean (LSGM) estimates for volumetric concentration (µg/L) of the metabolites derived from respective regression models were used to assess the patterns in the metabolite concentrations among population sub-groups. The results indicate that children had significantly higher urinary concentrations of MnBP, MBzP, MEHP, MEHHP, MEOHP and MCPP than adolescents and adults. Moreover, MEP, MBzP, MnBP and MEOHP concentrations in females were significantly higher than in males. We observed that fasting status significantly affects the concentrations of MEHP, MEHHP, MEOHP, and MCPP metabolites analyzed in this study. Moreover, our results indicate that the sampling time could affect the DEHP metabolite concentrations in the general Canadian population.

Canadian Health Measures Survey: sampling strategy overview.

This article presents an overview of the sampling strategy developed for the Canadian Health Measures Survey (CHMS). The CHMS was designed to collect key health information using a computer-assisted personal interview and a physical health examination. It began in March 2007 and will be conducted to 2009. A nationally representative sample of approximately 5,000 respondents aged 6 to 79 will be interviewed at home and asked to visit a mobile clinic where health care professionals measure several aspects of their physical health. The CHMS presents several challenges including: the need to have respondents who live within a reasonable commuting distance of the clinics; the difficulty of reaching the desired sample size for youths; and sub-sampling of measures related to exposure to environmental pollutants. The sampling strategy described in this article will address these challenges.