Literature DB >> 9761589

Cognitive and sensorimotor functions in 6-year-old children in relation to lead and mercury levels: adjustment for intelligence and contrast sensitivity in computerized testing.

J Walkowiak1, L Altmann, U Krämer, K Sveinsson, M Turfeld, M Weishoff-Houben, G Winneke.   

Abstract

Within a larger environmental health screening program neurobehavioral measures were taken in 384 6-year-old children (mean age 74 months) in the cities of Leipzig, Gardelegen, and Duisburg. Lead concentrations in venous blood samples (PbB) and urinary mercury excretion in 24-h samples (HgU) were measured as markers of environmental exposure by electrothermal AAS. Dependent variables included two subtests from the WISC [vocabulary (V) and block design (BD)] as well as five tests from the NES2 [pattern comparison, pattern memory, tapping, simple reaction time, and the continuous performance test (CPT; child version)]. In addition, visual functions [visual acuity (TITMUS-test) and contrast sensitivity (FACT)] were tested as covariates. The overall average PbB (geometric mean) was 42.5 microg/l (upper 95% value = 89 microg/l). The overall average mercury excretion (HgU) was 0.16 microg/24 h. Whereas no significant or borderline associations between HgU and any of the target variables was found, significant negative associations were observed between PbB and verbal intelligence (WISC vocabulary but not WISC Block Design) and false-positive responses (false alarms), as well as false-negative responses (miss) in the CPT. Whereas parental education was the most important confounder for WISC performance, visual contrast sensitivity and computer familiarity also proved predictive for performance in several computer-based NES subtests. It is concluded that non-IQ measures, namely measures of sustained attention, are negatively affected in children with 95% of blood-lead levels below 90 microg/l, even after adjustment for intelligence and contrast sensitivity, whereas the causative role of lead in altering IQ functions remains somewhat equivocal, because important covariates could not be controlled for.

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Year:  1998        PMID: 9761589     DOI: 10.1016/s0892-0362(98)00010-5

Source DB:  PubMed          Journal:  Neurotoxicol Teratol        ISSN: 0892-0362            Impact factor:   3.763


  24 in total

1.  Demographic and socioeconomic factors associated with blood lead levels among Mexican-American children and adolescents in the United States.

Authors:  Leo S Moralez; Peter Gutierrez; Jose J Escarce
Journal:  Public Health Rep       Date:  2005 Jul-Aug       Impact factor: 2.792

Review 2.  A rationale for lowering the blood lead action level from 10 to 2 microg/dL.

Authors:  Steven G Gilbert; Bernard Weiss
Journal:  Neurotoxicology       Date:  2006-08-04       Impact factor: 4.294

3.  A Partially Linear Regression Model for Data from an Outcome-Dependent Sampling Design.

Authors:  Haibo Zhou; Jinhong You; Guoyou Qin; Matthew P Longnecker
Journal:  J R Stat Soc Ser C Appl Stat       Date:  2011-08       Impact factor: 1.864

4.  Should children with developmental and behavioural problems be routinely screened for lead?

Authors:  G Lewendon; S Kinra; R Nelder; T Cronin
Journal:  Arch Dis Child       Date:  2001-10       Impact factor: 3.791

5.  The effects of solvent exposure on memory and motor dexterity in working children.

Authors:  Basema Saddik; Ann Williamson; Iman Nuwayhid; Deborah Black
Journal:  Public Health Rep       Date:  2005 Nov-Dec       Impact factor: 2.792

6.  Lead exposure, IQ, and behavior in urban 5- to 7-year-olds: does lead affect behavior only by lowering IQ?

Authors:  Aimin Chen; Bo Cai; Kim N Dietrich; Jerilynn Radcliffe; Walter J Rogan
Journal:  Pediatrics       Date:  2007-03       Impact factor: 7.124

7.  The relation of lead neurotoxicity to the event-related potential P3b component in Inuit children from arctic Québec.

Authors:  Olivier Boucher; Gina Muckle; Dave Saint-Amour; Eric Dewailly; Pierre Ayotte; Sandra W Jacobson; Joseph L Jacobson; Célyne H Bastien
Journal:  Neurotoxicology       Date:  2009-07-01       Impact factor: 4.294

8.  The relation of low-level prenatal lead exposure to behavioral indicators of attention in Inuit infants in Arctic Quebec.

Authors:  P Plusquellec; G Muckle; E Dewailly; P Ayotte; S W Jacobson; J L Jacobson
Journal:  Neurotoxicol Teratol       Date:  2007-08-16       Impact factor: 3.763

9.  Association of traffic-related air pollution with children's neurobehavioral functions in Quanzhou, China.

Authors:  Shunqin Wang; Jinliang Zhang; Xiaodong Zeng; Yimin Zeng; Shengchun Wang; Shuyun Chen
Journal:  Environ Health Perspect       Date:  2009-05-11       Impact factor: 9.031

10.  Mobile phone use, blood lead levels, and attention deficit hyperactivity symptoms in children: a longitudinal study.

Authors:  Yoon-Hwan Byun; Mina Ha; Ho-Jang Kwon; Yun-Chul Hong; Jong-Han Leem; Joon Sakong; Su Young Kim; Chul Gab Lee; Dongmug Kang; Hyung-Do Choi; Nam Kim
Journal:  PLoS One       Date:  2013-03-21       Impact factor: 3.240

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