OBJECTIVES: This is the second of two parallel longitudinal studies investigating Al exposure and neurobehavioral health of Al welders over 4 years. While the first published study in the trail and truck construction industry examined the neurobehavioral development of Al welders from age 41-45 in the group mean (Kiesswetter et al. in Int Arch Occup Environ Health 81:41-67, 2007), the present study in the automobile industry followed the development from 35 to 39. Although no conspicuous neurobehavioral developments were detected in the first study, which furthermore exhibited the higher exposure, it cannot be excluded that exposure effects appear in earlier life and exposure stages. METHODS: The longitudinal study is based on a repeated measurement design comprising 4 years with three measurements in 2 years intervals. 92 male Al welders in the automobile industry were compared with 50 non-exposed construction workers of the same industry and of similar age. The repeated measurements included total dust in air, and Al pre- and post-shift plasma and urine samples. Neurobehavioral methods comprised symptoms, verbal intelligence, logic thinking, psychomotor behavior, memory, and attention. The computer aided tests came from the Motor Performance Series and the European Neurobehavioral Evaluation System. The courses of neurobehavioral changes were analyzed with multivariate covariance-analytical methods considering the covariates age, indicators of 'a priori' intelligence differences (education or markers of 'premorbid' intelligence), and alcohol consumption (carbohydrate-deficient transferrin in plasma). Additionally, the interrelationship, reliability and validity of biomonitoring measures were examined. RESULTS: The mean environmental dust load during welding, 0.5-0.8 mg/m(3), and the mean internal load of the welders (pre-shift: 23-43 microg Al/g creatinine in urine; 5-9 microg Al/l plasma) were significantly lower than in the parallel study. Under low exposure, the stability of biomonitoring measures was reduced, but the Al load differed significantly between Al welders and referents. It could not be shown that the development of neurobehavioral performances over the 4-year period differed between both groups. Mainly, markers of premorbid intelligence and age were related to neurobehavioral performance differences but not Al exposure. CONCLUSIONS: The biomonitoring and neurobehavioral results are in line with the results of the first published study. The repeated measurement models of both studies showed no adverse neurobehavioral effects of Al welding. A modular lifetime-oriented research concept is outlined aiming at the investigation of sequential periods of exposure life with special focus on the biologically most sensitive phases like first exposure and old age.
OBJECTIVES: This is the second of two parallel longitudinal studies investigating Al exposure and neurobehavioral health of Al welders over 4 years. While the first published study in the trail and truck construction industry examined the neurobehavioral development of Al welders from age 41-45 in the group mean (Kiesswetter et al. in Int Arch Occup Environ Health 81:41-67, 2007), the present study in the automobile industry followed the development from 35 to 39. Although no conspicuous neurobehavioral developments were detected in the first study, which furthermore exhibited the higher exposure, it cannot be excluded that exposure effects appear in earlier life and exposure stages. METHODS: The longitudinal study is based on a repeated measurement design comprising 4 years with three measurements in 2 years intervals. 92 male Al welders in the automobile industry were compared with 50 non-exposed construction workers of the same industry and of similar age. The repeated measurements included total dust in air, and Al pre- and post-shift plasma and urine samples. Neurobehavioral methods comprised symptoms, verbal intelligence, logic thinking, psychomotor behavior, memory, and attention. The computer aided tests came from the Motor Performance Series and the European Neurobehavioral Evaluation System. The courses of neurobehavioral changes were analyzed with multivariate covariance-analytical methods considering the covariates age, indicators of 'a priori' intelligence differences (education or markers of 'premorbid' intelligence), and alcohol consumption (carbohydrate-deficient transferrin in plasma). Additionally, the interrelationship, reliability and validity of biomonitoring measures were examined. RESULTS: The mean environmental dust load during welding, 0.5-0.8 mg/m(3), and the mean internal load of the welders (pre-shift: 23-43 microg Al/g creatinine in urine; 5-9 microg Al/l plasma) were significantly lower than in the parallel study. Under low exposure, the stability of biomonitoring measures was reduced, but the Al load differed significantly between Al welders and referents. It could not be shown that the development of neurobehavioral performances over the 4-year period differed between both groups. Mainly, markers of premorbid intelligence and age were related to neurobehavioral performance differences but not Al exposure. CONCLUSIONS: The biomonitoring and neurobehavioral results are in line with the results of the first published study. The repeated measurement models of both studies showed no adverse neurobehavioral effects of Al welding. A modular lifetime-oriented research concept is outlined aiming at the investigation of sequential periods of exposure life with special focus on the biologically most sensitive phases like first exposure and old age.
Authors: C Giorgianni; M Faranda; R Brecciaroli; G Beninato; G Saffioti; G Muraca; P Congia; R Catanoso; G Agostani; C Abbate Journal: G Ital Med Lav Ergon Date: 2003 Jul-Sep
Authors: Bernd Rossbach; Mark Buchta; György A Csanády; Johannes G Filser; Wolfgang Hilla; Klaus Windorfer; Joachim Stork; Wolfgang Zschiesche; Olaf Gefeller; Annette Pfahlberg; Karl-Heinz Schaller; Ellen Egerer; Luis Carlos Escobar Pinzón; Stephan Letzel Journal: Toxicol Lett Date: 2005-11-08 Impact factor: 4.372
Authors: V Riihimäki; H Hänninen; R Akila; T Kovala; E Kuosma; H Paakkulainen; S Valkonen; B Engström Journal: Scand J Work Environ Health Date: 2000-04 Impact factor: 5.024
Authors: Richard Letz; Colleen K DiIorio; Patricia O Shafer; Katherine A Yeager; Thomas R Henry; Donald L Schomer Journal: Neurotoxicology Date: 2003-08 Impact factor: 4.294
Authors: Calvin C Willhite; Nataliya A Karyakina; Robert A Yokel; Nagarajkumar Yenugadhati; Thomas M Wisniewski; Ian M F Arnold; Franco Momoli; Daniel Krewski Journal: Crit Rev Toxicol Date: 2014-10 Impact factor: 5.635
Authors: Jens Bertram; Peter Brand; Laura Hartmann; Thomas Schettgen; Veronika Kossack; Klaus Lenz; Ellwyn Purrio; Uwe Reisgen; Thomas Kraus Journal: Int Arch Occup Environ Health Date: 2015-01-18 Impact factor: 3.015
Authors: Anne Lotz; Beate Pesch; Swaantje Casjens; Martin Lehnert; Wolfgang Zschiesche; Dirk Taeger; Chien-Lin Yeh; Tobias Weiss; Tobias Schmidt-Wilcke; Clara Quetscher; Stefan Gabriel; Maria Angela Samis Zella; Dirk Woitalla; Ulrike Dydak; Christoph van Thriel; Thomas Brüning; Thomas Behrens Journal: Neurotoxicology Date: 2020-12-07 Impact factor: 4.398