Identifying Extreme Exposure Values (Earlier Methods)
There are various perspectives on whether to exclude potentially unlikely exposure values. If the researcher chooses to do so, several approaches exist for identifying extreme values. We examined the plausibility of the reported frequencies for each food item in the NHANES 2009-10 DSQ and chose to exclude extreme values using a method that identifies them based on the actual distribution of the sample, but also minimizes the number of values excluded.
Because all items have a real probability of being consumed zero or a small number of times, we focused on the higher ends of the distribution, and examined the times per day distributions. For each food item, we identified discontinuous points of the distributions. We defined the highest frequency before the discontinuity as the maximum acceptable value.
Definition of Extreme Values for DSQ in NHANES 2009-10
|Food Group||NHANES 2009-10 (N=8541)|
|Maximum Acceptable Daily
|Number of Excluded
|Cookies, cake, pie||7||0|
|Sugar/honey in coffee/tea||10||8|
|Any milk (not soy)||10||12|
|Whole grain bread||6||2|
|Cooked whole grains||4||1|
Because the NHANES is a national representative survey and this screener was administered to children aged 2 years through adults aged 69 years, we expect this guidance to be appropriate for most U.S. populations.