title: On cancer risk estimation of urban air pollution.
abstract: The usefulness of data from various sources for a cancer risk estimation of urban air pollution is discussed. Considering the irreversibility of initiations, a multiplicative model is preferred for solid tumors. As has been concluded for exposure to ionizing radiation, the multiplicative model, in comparison with the additive model, predicts a relatively larger number of cases at high ages, with enhanced underestimation of risks by short follow-up times in disease-epidemiological studies. For related reasons, the extrapolation of risk from animal tests on the basis of daily absorbed dose per kilogram body weight or per square meter surface area without considering differences in life span may lead to an underestimation, and agreements with epidemiologically determined values may be fortuitous. Considering these possibilities, the most likely lifetime risks of cancer death at the average exposure levels in Sweden were estimated for certain pollution fractions or indicator compounds in urban air. The risks amount to approximately 50 deaths per 100,000 for inhaled particulate organic material (POM), with a contribution from ingested POM about three times larger, and alkenes, and butadiene cause 20 deaths, respectively, per 100,000 individuals. Also, benzene and formaldehyde are expected to be associated with considerable risk increments. Comparative potency methods were applied for POM and alkenes. Due to incompleteness of the list of compounds considered and the uncertainties of the above estimates, the total risk calculation from urban air has not been attempted here.
authors: Department of Radiobiology, Stockholm University, Sweden.
authors: M
authors: M
authors: Törnqvist
authors: L
authors: L
authors: Ehrenberg
mesh_terms: D000397:Air Pollution / Q000009:adverse effects*; D000447:Aldehydes / Q000009:adverse effects; D000475:Alkenes / Q000009:adverse effects; D000818:Animals; D001554:Benzene / Q000009:adverse effects; D006801:Humans; D008954:Models, Biological; D009369:Neoplasms / Q000139:chemically induced*; D011083:Polycyclic Compounds / Q000009:adverse effects; D018570:Risk Assessment; D014504:Urban Health
chemical_list: D000447:Aldehydes; D000475:Alkenes; D011083:Polycyclic Compounds; D001554:Benzene