期刊
ENVIRONMENTAL RESEARCH
卷 196, 期 -, 页码 -出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.envres.2020.110373
关键词
Organophosphate flame retardant; Temporal variability; Urine metabolites; Intraclass correlation coefficients
资金
- National Natural Science Foundation of China [42077397, 81903281]
- National Key R&D Program of China [2019YFC1605102]
The study found poor reproducibility of OPFR metabolites in spot urine samples, indicating that using a single urine measurement to predict chronic exposure to OPFRs can lead to classification errors. It is suggested that considering multiple urine samples, sampling types, collection times, and demographic characteristics may be a more comprehensive approach to assess exposure to diverse OPFRs.
A single measurement of organophosphate flame retardant (OPFR) metabolites in a spot sample is often used in epidemiological studies to estimate individual exposures. Over seven consecutive days, we collected 661 spot samples, including 127 first morning voids (FMVs) and 123 simulated 24-h collections, from 20 healthy adults and analyzed for eight OPFR metabolites. Intraclass correlation coefficients (ICCs) were calculated to evaluate the variability of the analyzed metabolites. In spot samples group, serial measurements of OPFR metabolites showed poor reproducibility (0.0422 < ICC < 0.349), and the within-day variability was the main contributor of the total variability. The estimated ICCs based on different correction methods for urine dilution (i.e., specific gravity-adjusted, creatinine-adjusted, and creatinine as a covariate) were similar, but varied according to gender and body mass index. Uniformly low sensitivities (0.417?0.633) were observed when using a single FMV or spot sample to predict the 1-week highly (top 33.0%) exposed volunteers. Therefore, using a single urinary measurement to predict chronic exposure to OPFRs can lead to a high degree of classification errors. When multiple urine samples are collected, considering the sampling type, the time of collection, and demographic characteristics may provide a more complete approach to assess exposure to diverse OPFRs.
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