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  1. Dose-response relationship between total cadmium intake and prevalence of renal dysfunction using general linear models.

    Article - En anglais

    To determine the maximum allowable intake limits for chronic dietary exposure to cadmium (Cd), the dose-response relationship between total Cd intake and prevalence of renal dysfunction was examined using general linear models considering the effect of age as a confounder.

    The target population comprised 1850 Cd-exposed and 294 non-exposed inhabitants of Ishikawa, Japan.

    They were divided into 96 subgroups by sex, age (four categories) cadmium concentrations in rice (three categories) and length of residence (four categories).

    As indicators of the cadmium-induced renal dysfunction, glucose, total protein, amino nitrogen, bêta2-microglobulin and metallothionein in urine were employed.

    General linear models were fitted statistically to the relationship among prevalence of renal dysfunction, sex, age and total Cd intake.

    Prevalence of abnormal urinary findings other than glucosuria had significant associations with total Cd intake.

    When total Cd intake corresponding to the mean prevalence of each abnormal urinary finding in the non-exposed subjects was calculated using general linear models, total Cd intakes corresponding to glucosuria, proteinuria, aminoaciduria (men only) and proteinuria with glucosuria were determined to be ca. 2.2-3.8 g and those corresponding to prevalence of metallothioneinuria were calculated as ca. 1.5-2.6 g.

    Mots-clés Pascal : Cadmium, Métal lourd, Toxicité, Homme, Concentration maximale admissible, Dose limite, Voie orale, Dose journalière, Epidémiologie, Japon, Asie, Relation dose réponse, Analyse statistique, Modèle linéaire, Analyse régression, Appareil urinaire pathologie, Contamination, Aliment, Rein

    Mots-clés Pascal anglais : Cadmium, Heavy metal, Toxicity, Human, Maximum permissible concentration, Limit dose, Oral administration, Daily dose, Epidemiology, Japan, Asia, Dose activity relation, Statistical analysis, Linear model, Regression analysis, Urinary system disease, Contamination, Food, Kidney

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 95-0270174

    Code Inist : 002B03L05. Création : 01/03/1996.