HBM concentrations from data

Human monitoring data characterise human exposure to substances, their metabolites in body fluids or tissues. In Figure 94, the positive (> zero) human monitoring concentrations for a number of pesticides in urine (morning) are visualised through summary statistics.

Figure 94 Boxplots for positive/quantified HBM substance concentration measurements of 13 pesticides. Lower whiskers indicate the p5 and p10 percentiles, upper whiskers the p90 and p95. The edges of the box indicate the p25 and p75 percentiles with the median in the centre of the box. LORs are displayed by a vertical red bar and outliers outside range (Q1 - 3 * IQR , Q3 + 3 * IQR).

Find in Figure 95, boxplots for all human monitoring concentrations of 13 pesticides in urine (morning).

Figure 95 Boxplots for all of HBM substance concentration measurements of 13 pesticides. Lower whiskers indicate the p5 and p10 percentiles, upper whiskers the p90 and p95. The edges of the box indicate the p25 and p75 percentiles with the median in the centre of the box. LORs are displayed by a vertical red bar and outliers outside range (Q1 - 3 * IQR , Q3 + 3 * IQR).

Note that all statistics are weighted using sampling weights.

Selection on sampling method

The dropdown menu displays the available sampling methods as defined in the data source. Select one or more sampling methods here to include them in the action.

Filter on repeated measurements

This option is only available when the survey contains two or more measurements or time points. It allows for the restriction of the action to one measurement to prevent the combination of unrelated samples. If there is only one measurement in the survey or if this option is not selected, all measurements are included in the action.

Excluded substances from sampling method

Use this option to remove all samples of substances that are of no interest or have incomplete samples. This option can be combined with the “Use complete analysed samples” option. When “Use complete analysed samples” is selected, the resulting dataset might become very small due to some substances not being analysed. Excluding these non-analysed substances will result in a larger dataset.

Use complete analysed samples

Select this option to remove samples from individuals for whom one or more of the selected substances have not been analysed.

Use sampling weights

If checked, individual sampling weights are used. If unchecked, the individual sampling weights are not used in the calculations.