Hans Kromhout Institute for Risk Assessment Sciences Utrecht University 2 Farmers used to be Conservative Stable career and residency Knowledgeable Wellinformed by extension workers ID: 931759
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Slide1
Overview of exposure assessment methodological issues for epidemiological studies on pesticides
Hans
Kromhout
Institute
for Risk Assessment Sciences
Utrecht University
Slide22
Farmers (used to be)
Conservative
Stable: career and residency
Knowledgeable
Well-informed (by extension workers)
Fond of their
work
So what’s the problem when we want to study their agricultural exposure?
3
Nature of exposures in agriculture
Seasonal
Often outdoors
Highly variable
Type of agent and
exposure
Biological
, chemical and
physical
Individual agents (active ingredients)
Intensity
, duration and frequency
Slide44
Given nature of exposures in agriculture and potential for misclassification
It is a miracle we
find any
exposure-response relation
at all
Slide55
How bad is it
?
Based on inhalation exposure database
(Kromhout et al. Annals
Occup
Hyg
1993):
Individuals working outdoors in intermittent process have on average:
Day-to-day
concentrations vary up to a factor 150
Between-worker averages vary up to a factor 10
Individual
working indoors in intermittent process have on average:
Day-to-day concentrations vary up to a factor 90
Between-worker averages vary up to a factor 10
Slide66
How bad is it?
Based on dermal exposure
database
(Kromhout
& Vermeulen, Annals
Occup
Hyg
2001
):
For re-entry workers exposed to pesticides
on average
:
Day-to-day concentrations vary up to a factor 10-40
No between-worker differences in average exposure
For sheep dippers:
Day-to-day concentrations vary up to a factor 300
Between-worker averages vary up to a factor 30
Huge differences between body parts!!!
Slide77
Fruit growers exposed to
Captan
during re-entry
Captan
in NL 1991 and 1992
Type
N
K
bw
R.95
ww
R.95
Inhalation
154
108
3.1
541
Dermal wrist
188
133
17.3
143
Dermal hands
182
128
45.1
65.3
Slide88
Relative contributions of main tasks
and routes to exposure
to
Captan
(
de Cock et al. 1996)
Farmer
Son
Wife
Farmer
Son
Wife
Growing season
Inhalable exposure
Dermal exposure
Application
4%
1%
0%
6%
2%
0%
Re-entry
95%
98%
91%
84%
87%
47%
Home
1%
1%
9%
10%
11%
53%
Harvesting season
Inhalable exposure
Dermal exposure
Application
2%
<1%
0%
3%
<1%
0%
Re-entry
97%
99%
98%
89%
93%
84%
Home
<1%
<1%
2%
7%
5%
17%
Total amount
81
88
33
440
468
211
Slide99
Consequences for
epidemiological research
Generic questions possible in general population based studies (case-control) resulting in considerable contrast between exposed and non-exposed
Studies within agriculture suffer from lack
of contrast
and lack of accuracy and precision
Using measurements will not necessarily result in more accurate exposure assessment since:
Mixed exposure situations
Large variability (not enough data available)
Good modelling practices needed
Slide1010
Used Methods
Self-reports
Expert-assessment
Job-exposure matrices
Crop-exposure matrices
Algorithms (determinants of exposure)
Slide1111Self-reports versus expert assessment
c
ase-control
neuroblastoma
(Daniels et al. 2001)
Very low prevalence
(3.8
%
fathers,
0.7%
mothers)
Fathers
an OR of 1.5 (0.7-3.4) (comprehensive
OH
review)
Self-reports
substantially higher: 7.5% and 3.4%, but 49% of fathers and 80% of mothers were unlikely to have been exposed;
showed no
relation with outcome
Exposure
classification based on job title showed opposite patterns; mothers an OR of 3.2 (0.9-11.7)
Standardized
and validated
questions
focussing
on determinants needed
Slide1212
JEMs
For the general population we need exposure assessment to be very specific because of the low prevalence: only individuals with a high probability of exposure should be assigned exposure to pesticides
As long as we make the exposure axis not to specific we will be fine
For agricultural cohorts we will need more detailed job and agent axes Crop Exposure Matrices
13
CEMs
Crop exposures rely often on registration data
But multiple pesticides can be used on a specific crop
Also same pesticide can be used on multiple crops
Results in a very sensitive method, but given the high prevalence within agricultural studies this shouldn’t be too problematic
However it will result in (heavily) correlated exposures
Slide1414
Agricultural
Health Study
Algorithm
(
Dosemeci
et al. 2002)
So will semi-quantitative methods as
elaborated
by
Dosemeci
work?
Algorithm scores
appear to provide a reasonably valid measure of exposure intensity
(Coble 2005); but appeared
marginally predictive
of forearm
captan
exposure and did
not predict air, hand rinse or urinary THPI
exposures (Hines 2008); improved algorithm(Coble 2011)
Re-entry exposure component (with most likely a longer duration) has to be included (Negatu 2016)
We cannot
change anything about the
mixed and highly variable
exposure environment of the
applicator
Slide1515Conclusions
If you are looking for positive results when studying chronic effects of
pesticides
exposures, go for the case-control design and study the general
population. (You will need large studies)
We will only find meaningful relationships between
pesticides
exposures and chronic
health effects
if we know how to deal with the inherent large temporal and spatial variability in these exposures
Slide1616Thank you very much
for
your attention!