We extended the analysis of these compounds to PptT utilizing a recently published fluorescence polarization (FP) assay that measures modification of a CP target with a synthetic fluorescent CoA analogue (Table 1).
Water-absorption time was used to evaluate surface hydrophilicity on the top and the bottom sides of each fabric layer and water capillary rise height was recorded as a measure of modification effectiveness for each fabric layer.
A potential effect measure modification by sex and age was explored by including interaction terms between SCL-5 scale scores and sex and SCL-5 scale scores and age in the analyses.
Although, in this instance, the most likely explanation for the differences between quintiles in the apparent effect of treatment is unmeasured confounding, the possibility of a genuine effect-measure modification should be considered.
Likewise, meta-regression results indicated a lack of effect measure modification by GDM diagnosis criteria (P = 0.58), physical activity analysis by energy expenditure versus frequency (P = 0.40), study size being >100 cases (P = 0.15), and country of study (P = 0.078).
There was a trend toward mild effect measure modification by study phase, but this was not statistically significant.
Stratified pooled effect estimates were calculated and reported if there was evidence of effect measure modification by a given characteristic.
Table 2 provides a summary of recent effect measure modification findings for genetic variants examined in epidemiologic and controlled human exposure studies of respiratory effects.
Effect measure modification on a multiplicative scale was assessed by comparing the multivariable models with and without cross-product terms of the exposure and weight change [ 35].
The reason for this is analogous to effect measure modification in a single study: if odds ratios are the same between strata (e.g., age categories) of a single study, risk differences are likely to differ between strata.
Finally, due to evidence that the neurobehavioral effects of pyrethroid pesticide exposure may differ in males and females, we conducted stratified analyses by child gender and formally tested effect measure modification using a sex*3-PBA interaction term in our logistic regression models.
