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. 2009 Jan;109(1):73-85.
doi: 10.1016/j.envres.2008.10.003. Epub 2008 Nov 28.

Evidence of an age-related threshold effect of polychlorinated biphenyls (PCBs) on neuropsychological functioning in a Native American population

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Evidence of an age-related threshold effect of polychlorinated biphenyls (PCBs) on neuropsychological functioning in a Native American population

Richard F Haase et al. Environ Res. 2009 Jan.

Abstract

Polychlorinated biphenyls (PCBs) have been suspected for some time of having adverse effects on neuropsychological functioning in humans. While there is evidence of slowing of cognitive function in children associated with exposure to PCBs, the evidence of comparable effects on adults is far less well understood. We report here on the neuropsychological evaluation of 277 Native American adults, ranging in age from 18 to 79, who were exposed to PCBs by way of environmental contamination in the St. Lawrence region of upstate New York. PCB body burden was estimated by 101 PCB congeners and neuropsychological functioning was assessed by a battery of 18 tests. Spline regression models were fitted to the latent variables of memory, motor function, and higher-order executive functioning. After adjusting for age, gender, and education the analyses revealed a threshold effect of PCBs at approximately 2 ppb. An age-by-PCB interaction effect was also observed for several variables which suggests that the threshold effect was largely confined to the age range of 40-79 and was not observable in the 18-40-year-old group. Implications of these results are discussed in comparison to previously published similar work with adults and in terms of its potential clinical meaningfulness.

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Figures

Figure 1
Figure 1
LOESS Plots of Total PCBs to 8 Latent Variables of Neuropsychological Functioning Figure 1(a) Total PCBs and Memory Figure 1(b) Total PCBs and Motor Behavior Figure 1(a) Total PCBs and Executive Functioning
Figure 1
Figure 1
LOESS Plots of Total PCBs to 8 Latent Variables of Neuropsychological Functioning Figure 1(a) Total PCBs and Memory Figure 1(b) Total PCBs and Motor Behavior Figure 1(a) Total PCBs and Executive Functioning
Figure 1
Figure 1
LOESS Plots of Total PCBs to 8 Latent Variables of Neuropsychological Functioning Figure 1(a) Total PCBs and Memory Figure 1(b) Total PCBs and Motor Behavior Figure 1(a) Total PCBs and Executive Functioning
Figure 1
Figure 1
LOESS Plots of Total PCBs to 8 Latent Variables of Neuropsychological Functioning Figure 1(a) Total PCBs and Memory Figure 1(b) Total PCBs and Motor Behavior Figure 1(a) Total PCBs and Executive Functioning
Figure 1
Figure 1
LOESS Plots of Total PCBs to 8 Latent Variables of Neuropsychological Functioning Figure 1(a) Total PCBs and Memory Figure 1(b) Total PCBs and Motor Behavior Figure 1(a) Total PCBs and Executive Functioning
Figure 1
Figure 1
LOESS Plots of Total PCBs to 8 Latent Variables of Neuropsychological Functioning Figure 1(a) Total PCBs and Memory Figure 1(b) Total PCBs and Motor Behavior Figure 1(a) Total PCBs and Executive Functioning
Figure 1
Figure 1
LOESS Plots of Total PCBs to 8 Latent Variables of Neuropsychological Functioning Figure 1(a) Total PCBs and Memory Figure 1(b) Total PCBs and Motor Behavior Figure 1(a) Total PCBs and Executive Functioning
Figure 1
Figure 1
LOESS Plots of Total PCBs to 8 Latent Variables of Neuropsychological Functioning Figure 1(a) Total PCBs and Memory Figure 1(b) Total PCBs and Motor Behavior Figure 1(a) Total PCBs and Executive Functioning
Figure 2
Figure 2
SEM Spline Model of PCBs and Covariates to Executive Functioning Latent Variables
Figure 3
Figure 3
Threshold and Age × PCB Interaction for Trail Making Test
Figure 4
Figure 4
SEM Spline Model of PCBs and Covariates to Memory Latent Variables
Figure 5
Figure 5
SEM Spline Model of PCBs and Covariates to Executive Functioning Latent Variables
Figure 6
Figure 6
Threshold and Age × PCBs Interaction for Grooved Pegboard Latent Variable

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