Within-child variability exceeded between-child variability for benzene, carbon tetrachloride, styrene, toluene, trichloroethene, m-/ p-xylene, and o-xylene.
Results: Within-child variance exceeded between-child variance by a factor of two to eight, depending on metabolite grouping.
We calculated the proportion of cases in which between-group differences in the proportion of a food consumed exceeded between-group differences in the 1000 permuted data sets.
The ICCs ranged from 0.29 to 0.35 among the pyrethroid metabolites and 0.08 to 0.12 for the OP metabolites, demonstrating that within-subject variability exceeded between-subject variability by a factor of 2 11.
Because the discussions of each table differed significantly on very few measures, and within-table variability exceeded between-table variability, analyses of discussions reported above were done with all tables aggregated.
In 2001 2002 samples, TCPy levels in repeat prenatal urine were positively correlated (r = 0.23 0.56), but within-subject variability exceeded between-subject variability (intraclass correlation coefficient = 0.43); indoor air levels explained 19% of the variance in prenatal urine TCPy (p = 0.001).
Reproducibility of creatinine-adjusted DE metabolites was much lower (ICCs = 0.11 0.16) (Table 3), and within-child variance exceeded between-child variance between a factor between five (e.g., 57% vs. 12% of the total variance for non-FMV spot samples) and eight (e.g., 88% vs. 12% of the total variance for FMV spot samples) for these metabolites.
These studies evidenced that temporal genetic differences between groups of glass eels recruited at the same site within the same year (also referred to as glass eel waves) can exceed between-site large-scale spatial genetic differences of the same recruitment cohort (Maes et al. 2006, 2009; Pujolar et al. 2006, 2007, 2009).
This implies a groundwater temperature that exceeds between 1.3 and 10.3 °C the expected value for that depth, if normal gradients are considered (Table 4).
