Record Display for the EPA National Library Catalog


Main Title Studies in children exposed to low levels of lead /
Author Needleman, Herbert L.
CORP Author Children's Hospital Medical Center, Boston, MA.;Health Effects Research Lab., Research Triangle Park, NC.
Publisher U.S. Environmental Protection Agency, Health Effects Research Laboratory ; Reproduced by National Technical Information Service,
Year Published 1981
Report Number EPA 600-1-81-066; 68-02-2217; EPA-68-02-2217
Stock Number PB82-108432
OCLC Number 35997180
Subjects Lead--Toxicology--United States ; Environmentally induced diseases in children--United States ; Pediatric toxicology--United States
Additional Subjects Lead(Metal) ; Toxicology ; Physiological effects ; Toxic substances
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
EJBD ARCHIVE EPA 600-1-81-066 Headquarters Library/Washington,DC 01/06/2020
EJED  EPA-600/1-81-066 OCSPP Chemical Library/Washington,DC 07/13/2001
NTIS  PB82-108432 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation x, 60 pages ; 28 cm
Two separate studies were conducted with the overall objective of examining the impact of lead at low dose on the neuropsychological function of children. In the first study, a sample of children identified as having elevated lead levels in the dentine of shed deciduous teeth (N = 19) were compared to children with low dentine lead (N = 22) on electroencephalograms and a panel of 8 auditory and speech processing tasks. Quantitative electroencephalograms were obtained from 20 sites under 4 conditions in these subjects. The spectrum from 0.5 - 32 Hz was examined; four bands were studied (alpha, beta delta, and theta) under four conditions. Of the 320 comparisons, 10 differed at P - 0.025 or less (Wilcoxin-Mann, Whitney two sample test). These 10 features, nine behavioral measures previously obtained, and maternal I.Q. were then submitted to multivariate analysis. A stepwise linear discriminate function analysis showed that adding the EEG to behavioral analysis in the model increased to discriminating power from P = 0.015 to P = 0.001. The most useful diagnostic features were EEG slowing (delta) over the parietal cortex and decreased full scale I.Q.
Caption title. "September 1981." "EPA 600-1-81-066."