Objectives-To identify predictors of tibial and dimercaptosuccinic acid (DMSA) chelatable lead in 543 organolead manufacturing workers with past exposure to organic and inorganic lead.
Methods-In this cross sectional study, tibial lead (by 109Cd K-shell x ray fluorescence), DMSA chelatable lead (4 hour urinary lead excretion after oral administration of 10 mg/kg), and several exposure measures were obtained on study participants, mean (SD) age 57.6 (7.6) years.
Tibial lead concentrations ranged from - 1.6 to 52.0 mug lead/g bone mineral, with a mean (SD) of 14.4 (9.3) mug/g. DMSA chelatable lead ranged from 1.2 to 136 mug, with a mean (SD) of 19.3 (17.2) mug.
In a multiple linear regression model of tibial lead, age (p<0.01), duration of exposure (p<0.01), current (p<0.01) and past (p=0.05) cigarette smoking, and diabetes (p=0.01) were all independent positive predictors, whereas height (p=0.03), and exercise inducing sweating (p=0.04) were both negative predictors.
The final regression model accounted for 31% of the variance in tibial lead concentrations ; 27% was explained by age and duration of exposure alone.
DMSA chelatable lead was directly associated with tibial lead (p=0.01), cumulative exposure to inorganic lead (y. mug/m3, p=0.01), current smoking (p<0.01), and weight (p<0.01), and negatively associated with diabetes (p=0.02).
The final model accounted for 11% of the variance in chelatable lead. (...)
Mots-clés Pascal : Exposition professionnelle, Epidémiologie, Médecine travail, Plomb, Métal lourd, Industrie chimique, Homme, Surveillance biologique, Matériel biologique, Tissu osseux, Mercaptoacide, Chélation, Valeur prédictive, Marqueur biologique, Analyse multivariable, Modèle régression, Etude cohorte, Etats Unis, Amérique du Nord, Amérique
Mots-clés Pascal anglais : Occupational exposure, Epidemiology, Occupational medicine, Lead, Heavy metal, Chemical industry, Human, Biological monitoring, Biological material, Osseous tissue, Mercaptoacid, Chelation, Predictive value, Biological marker, Multivariate analysis, Regression model, Cohort study, United States, North America, America
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 99-0102373
Code Inist : 002B03L05. Création : 16/11/1999.