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UID:20251007T201722EDT-4035nXlnpF@132.216.98.100
DTSTAMP:20251008T001722Z
DESCRIPTION:A human population’s exposure to contaminants is typically asse
 ssed through the analysis of representative samples\, typically blood\, in
  so-called biomonitoring programs. Such programs generate cross-sectional 
 data when different members of a population are sampled at the same point 
 in time\, or longitudinal data when a cohort of individuals is sampled mul
 tiple times at different ages. Human biomonitoring of contaminant levels t
 ypically reveals a huge range in exposures within a population and therefo
 re it is of considerable interest to quantify and assign sources of variab
 ility in the observed human contaminant burdens. Whereas this is typically
  done using statistical analyses\, we rely instead on a mechanistic\, non-
 steady state\, environmental fate and human food-chain bioaccu­mulation mo
 del to predict exposure of humans to persistent organic pollutants. This i
 s done by first calculating longitudinal exposures for different human coh
 orts\, which are then “sampled” to generate cross-sectional data. I will i
 llustrate how we can use such a mechanistic modeling approach to shed ligh
 t on the role of age\, diet and body mass index on contaminant exposure. P
 articularly intriguing is the possibility to decipher with the help of the
  model to what extent long-term temporal trends in these parameters (i.e. 
 an ageing population\, changing dietary patterns\, and the obesity epidemi
 c) may confound long term trends in a population’s contamination status ob
 tained from cross-sectional sampling.\n
DTSTART:20151124T180000Z
DTEND:20151124T193000Z
LOCATION:Room 10\, Maass Chemistry Building\, CA\, QC\, Montreal\, H3A 0B8\
 , 801 rue Sherbrooke Ouest
SUMMARY:Chemical Society: Dr. Frank Wania - Making sense of human contamina
 nt monitoring data with the help of mechanistic models
URL:/chemistry/channels/event/chemical-society-dr-fran
 k-wania-making-sense-human-contaminant-monitoring-data-help-mechanistic-25
 6082
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