Search tips
Search criteria 


Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
Neurotoxicol Teratol. Author manuscript; available in PMC 2013 May 1.
Published in final edited form as:
PMCID: PMC3553661

Adult Neuropsychological Performance Following Prenatal and Early Postnatal Exposure to Tetrachloroethylene (PCE)-contaminated Drinking Water


This population-based retrospective cohort study examined adult performance on a battery of neuropsychological tests in relation to prenatal and early postnatal exposure to tetrachloroethylene (PCE)-contaminated drinking water on Cape Cod, Massachusetts. Subjects were identified through birth records from 1969 through 1983. Exposure was modeled using pipe network information from town water departments, a PCE leaching and transport algorithm, EPANet water flow modeling software, and a Geographic Information System (GIS). Results of crude and multivariate analyses among 35 exposed and 28 unexposed subjects showed no association between prenatal and early postnatal exposure and decrements on tests that assess abilities in the domains of omnibus intelligence, academic achievement or language. The results were suggestive of an association between prenatal and early postnatal PCE exposure and diminished performance on tests that assessed abilities in the domains of visuospatial functioning, learning and memory, motor, attention and mood. Because the sample size was small, most findings were not statistically significant. Future studies with larger sample sizes should be conducted to further define the neuropsychological consequences of early developmental PCE exposure.

Indexing Terms: Tetrachloroethylene, PCE, development, neuropsychological assessment

1. Introduction

Tetrachloroethylene (PCE, Perc or perchloroethylene) is a manufactured colorless liquid most commonly used for fabric dry cleaning and metal degreasing. PCE is one of the most frequently detected solvents in groundwater (Moran et al., 2007) and at United States Environmental Protection Agency (USEPA) Superfund sites (EPA, 2008). PCE and its main metabolite dichloroacetylene (DCA) are recognized human and animal neurotoxicants (TOXICS, 1994; TOXICS, 1994; Stevens et al., 1997; Feldman, 1999; Klaassen, 2001, Brown Dzubow et al., 2010, Bale et al., 2011). These fat soluble substances have a high affinity for the lipophilic tissues of the central nervous system (Altmann et al., 1995, Brown Dzubow et al., 2010). PCE also readily crosses both the placental and blood brain barriers (Klaassen, 2001).

Most of the epidemiological literature on the neurotoxic effects of solvents such as PCE has focused on sequelae among adults with occupational exposures to mixtures of organic solvents. Impairments in cognition and vision have been observed, as have mood changes (White et al., 1995; Grosch et al., 1996; Pauling et al., 1996; Morrow et al., 1997; Tsai et al., 1997; Daniell et al., 1999; Condray et al., 2000; Morrow et al., 2000; Bowler et al., 2001; Klaassen, 2001; Bockelmann et al., 2002; Kilburn, 2002; Morrow et al., 2002; Rosenberg et al., 2002; Fiedler et al., 2003; Reif et al., 2003; Ichihara et al., 2004; Wood et al., 2005). The cognitive sequelae observed following mixed organic solvent exposures included diminished performance on measures of memory, attention/executive function, and motor skills. The few studies examining adult occupational exposures to PCE alone have produced mixed results. Some studies found diminished performance on measures of attention/executive function (TOXICS, 1994; Grosch et al., 1996), while other studies have not found any adverse neurological effects (Grosch et al., 1996; Daniell et al., 1999). All studies that examined visuospatial abilities have found a diminished performance associated with PCE exposure (TOXICS, 1994; Echeverria et al., 1995; Daniell et al., 1999).

Three prior studies have examined effects of maternal occupational mixed solvent exposure during the prenatal period on neurodevelopment. A study by Eskenezi et al. (Eskenezi et al., 1988) showed no significant impact on general mental abilities assessed by the McCarthy Scales of Children’s Abilities among children at ages 3- 4 years. Domain- specific functions such as memory and language tests were not examined.

In contrast, Till et al 2001 (Till et al., 2001) found that prenatal maternal exposure to organic solvent mixtures was associated with worse performance on measures of expressive and receptive language and reduced graphomotor skills using NEPSY tests among children at ages 3-7 years. Study parents also rated exposed children as having more behavioral problems on a child behavior checklist than unexposed children. Laslo-Baker et al. (Laslo-Baker et al., 2004) also found that children exposed to organic solvent mixtures during the prenatal period scored lower on neurobehavioral tests of general intelligence, language and motor abilities at ages 3-7 years.

One study examined postnatal exposure to PCE and subsequent neurobehavioral function among children who attended a day care facility adjacent to a dry cleaning establishment using PCE. Behavioral assessment took place when children were between the ages of 4-5 years (NYSDOH, 2005b) and 4-5 years later (NYSDOH, 2005a; NYSDOH, 2005c). No behavioral effects were found at either assessment.

The present study examined environmental PCE exposure in an unusual scenario. In early 1980 elevated levels of PCE were discovered in the drinking water supplies of many New England towns. Investigations revealed that the public water distribution systems in these towns had installed vinyl-lined asbestos-cement (VL/AC) pipes to address alkalinity problems. Approximately 660 miles of VL/AC pipes were installed in Massachusetts from 1968 through early 1980; a large proportion was installed in eight towns in the Cape Cod region (Larson et al., 1983). These towns were Barnstable, Brewster, Bourne, Chatham, Falmouth, Mashpee, Provincetown, and Sandwich. The pipe manufacturing process involved spraying a mixture of vinyl toluene resin and PCE onto the interior of the pipe. It was believed that the PCE would volatilize before the pipes were installed; however, substantial quantities remained. PCE measurements taken in 1980 from Cape Cod public drinking water supplies ranged from 1.5 μg/L to 7,750 μg/L (Demond, 1982). State officials decided to flush and bleed the VL/AC pipes in order to reduce the PCE concentrations to 40 ug/L, the action level determined to be safe at the time (Commonwealth of Massachuesetts, Department of Environmental Quality Engineering Report, 1982). The current United States Environmental Protection Agency (USEPA) maximum contaminant level (MCL) is 5 μg/L (TOXICS, 1994).

These unique circumstances presented a valuable setting for examining the neurodevelopmental impact of prenatal and early postnatal exposure to PCE because thousands of pregnant Cape Cod residents were exposed to a large range of levels, and other water contaminants were rare (Aschengrau and Ozonoff, 1991). Furthermore, the VL/AC pipes were irregularly distributed according to the replacement and expansion needs of the towns, leading to little confounding by environmental and population characteristics. The irregular distribution of VL/AC pipes also meant that specific subjects could be identified as having water supplied through VL/AC pipes while others could be identified as unexposed. The current paper describes an evaluation of the associations between early PCE exposure and neurobehavioral function in this population. We predicted that young adults with prenatal and early childhood PCE exposure would show decrements in performance on neuropsychological outcomes measures relative to unexposed controls, particularly in the domains of visuospatial abilities, attention and executive function, short-term memory and mood.

2. Material and Methods

2.1. Study Population Selection

Subjects were eligible if they were born between 1969 and 1983 to mothers who lived in one of eight Cape Cod towns with VL/AC water distribution pipes. Over 13,000 birth certificates were manually reviewed and the maternal addresses on the certificate were cross-matched with a database of all street locations with VL/AC pipes. The database also contained information on the installation year, and diameter of the pipes. This tentative designation was based on visual inspection of the maps of water pipes in the immediate vicinity of the birth residence.

Based on the initial exposure assessment, two groups of children were selected, those tentatively labeled as exposed and those tentatively labeled unexposed. The initial exposed group included 1,910 individuals. A total of 1,928 “unexposed” children were randomly selected and frequency matched to exposed children on the month and year of birth. More extensive exposure assessments were conducted following the return of self-administered questionnaires which included residential histories as well as information on the drinking water source. For a more detailed explanation see Janulewicz et al., 2008 (Janulewicz et al., 2008).

The study was approved by the Institutional Review Boards (IRB) of the Massachusetts Department of Public Health and Boston University Medical Center and the 24A/B/11B Review Committee at the Massachusetts Department of Public Health.

2.2. Follow-up and Enrollment

Follow-up and enrollment of subjects took place between 2006 and 2010. Subjects were traced to obtain their current addresses and telephone numbers using Massachusetts residence lists; death, marriage, divorce, credit bureau and alumni records; and telephone books, directory assistance, and the Internet White Pages. Recruitment letters explaining the purpose of the study and accompanying self-administered questionnaires were sent to all traced subjects. Two percent of the selected population were deceased, 6.8% were not located, 45.8% were located but never responded to any contact attempts (4 attempts were made by mail and telephone), and 3.9% refused to participate (Table 1). In addition, the Massachusetts Department of Public Health did not allow us to contact 9.0% of the subjects whose mothers refused to participate in our prior cohort study of reproductive and developmental outcomes (Janulewicz et al., 2008). These percentages were similar for both the exposed and unexposed groups. In all, 619 exposed and 626 unexposed subjects returned the study questionnaire. Of those who returned the survey, 2.5% were deemed ineligible due to inadequate exposure information, thus leaving 585 exposed and 562 unexposed subjects who were considered for neuropsychological testing.

Table 1
Selection, Enrollment, Exposure Status and Exclusions of Study Population

As shown in Table 1, 30.2% percent of these subjects resided outside of our testing area, 17% were missing key data from maternal questionnaires, and 6.8% had only postnatal exposure and thus were excluded from neuropsychological testing. Based on information collected from the self-administered questionnaires, another 24.8% of subjects were excluded for one or more of the following reasons: had a neurological condition, experienced lead or carbon monoxide poisoning, suffered a head injury with a loss of consciousness >5 minutes, used three or more illicit drugs, or drank excessive amounts of alcoholic beverages (average daily volume>3 drinks). An additional 2.0% of the subjects were excluded because they were a twin or triplet. The latter exclusions were made because of the known associations between these characteristics and the outcomes under investigation. These exclusion percentages were similar for both the exposed and unexposed groups

Following these exclusions, a total of 219 subjects were available for neuropsychological testing. As shown in Table 1, 11.9% refused to participate and 58.4% of subjects were located but never responded to any contact attempts, which included three letters and multiple telephone calls, leaving 65 subjects who underwent testing.

There were no meaningful differences in the characteristics of eligible subjects who participated in the neuropsychological testing and those who did not. Participants and non-participants were similar with regard to birth year, gender, race, education and the prevalence of low birth weight and prematurity. However, non-participants were more likely than participants to have self-reported learning problems (22.5% vs. 10.8%) and to have used self-service dry cleaners (9.8% vs. 0%). These differences held true for both exposed and unexposed non-participants. For example, 21.6% of unexposed vs. 22.6% unexposed non-participants had self-reported learning problems, and 10.4% of exposed and 8.9% of unexposed non-participants ever used self-service dry cleaners.

2.3. Data Collection

Birth certificate review provided information on subject’s date of birth, gestational duration and birth weight, and parents’ ages, occupations and educational level. Self-administered questionnaires, filled out by the mother (or father, if the mother was deceased) in 2002-2003 gathered additional demographic information on the subjects and parents; developmental, educational and medical information on the subject, and medical information and solvent exposures among the mothers (Janulewicz et al., 2008). In particular, the questionnaire determined if the subject had any birth defects, severe mental retardation, cerebral palsy, fetal alcohol syndrome, lead poisoning, received a diagnosis of Attention Deficit Disorder (ADD) or Hyperactivity Disorder (HD), had an Individual Education Plan (IEP) from their school system, or repeated a school grade. The questionnaire also determined information on maternal diseases before and during pregnancy, including diabetes and high blood pressure; pregnancy complications including gestational diabetes and pre-eclampsia, and use of legal drugs, marijuana, vitamins, and iron supplements during pregnancy. Questions about the use of professional dry cleaners, spot removers, and occupations provided information on other potential sources of maternal solvent exposure.

Self-administered questionnaires, filled out by the subject in 2005-2008, were used to gather additional demographic information and developmental, educational, occupational, medical and residential histories. Demographic information collected included race, marital status, occupational titles and parental education. The questionnaire also determined the subject’s educational history, including highest level of education and presence of any learning problems. Other questionnaire information included the subject’s history of neurological disease (e.g., epilepsy); mental illness (e.g., depression); lead or carbon monoxide poisoning; and smoking, alcohol and drug use. Questions about the use of professional dry cleaners, spot removers, and occupations provided information on other potential sources of solvent exposure.

Subjects were given three study participation options. Option 1 included a battery of neuropsychological and vision tests, Option 2 included the battery of neuropsychological and vision tests along with structural Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy, and Option 3 included the battery of neuropsychological and vision tests along with structural and functional Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy. Only results from the neuropsychological testing are reported in this paper.

All neuropsychological tests were conducted by a trained examiner masked to exposure status of the subject. Descriptions of the tests are summarized in Table 3. Tests were administered in a fixed order, alternating tasks with different kinds of demands to limit boredom and maintain an effortful performance. For each of the tests, sensitivity to focal brain lesions and to several types of neurological and developmental disorders is well established. Because low-level PCE effects may not result in diagnosable disorders of attention or learning, but nonetheless affect CNS function, the battery was designed to allow investigation of dose-effect relationships that reveal preclinical effects of exposure (Echeverria et al., 1995; White et al., 2001). Tasks included measures from all commonly assessed neuropsychological domains – attention and executive function, manual motor speed, verbal/language abilities, visuospatial skills, short-term memory, mood and motivation. In addition, tasks assessing omnibus intelligence (IQ) and basic academic skills were included. The tasks included in the battery have been applied widely in both research and clinical situations, and the psychometric properties and validity of the tasks are well established (Strauss, 2006).

Table 3
Neuropsychological Test Description by Domain

2.4. PCE Exposure Assessment

Using a visual assessment of the water pipe distribution maps, children were assigned tentative exposure designations based on the presence of VL/AC pipes in the immediate vicinity of their birth address. Each child’s final exposure designation was determined by integrating information from several additional sources. Along with information from town water departments on the location of vinyl-lined pipes, other sources incorporated into the exposure assessment included: 1) a Geographic Information System (GIS, ArcGIS 8.1) to spatially locate the vinyl-lined pipes and residences; 2) EPANet water distribution system software to model water flow and direction, and 3) a leaching and transport model to estimate the amount (grams) of PCE that was delivered to each reported residence during the exposure period. The leaching and transport model was developed by Webler and Brown (Webler, 1993; Aschengrau et al., 2003) and the leaching rate was estimated from experiments by Demond (Demond, 1982). The Webler and Brown model estimates the amount of PCE entering the drinking water using information on the initial PCE stock in the pipe liner, the pipe’s age, and the leaching rate of PCE from Demond’s experiments. The pipe’s initial stock of PCE was based on the size of the pipe (i.e., diameter and length) and information from the pipe manufacturer on the application of the liner. EPANet software, which was developed by the U.S. Environmental Protection Agency, has been used in multiple epidemiologic studies (Rossman, 1994; Aral et al., 1996; Maslia et al., 2000; Reif et al., 2003; Aschengrau et al., 2009)

Study subjects may have been exposed to PCE in drinking water through ingestion, dermal absorption and inhalation, particularly during bathing (Vieira et al., 2005). However, questionnaire data on water consumption and bathing habits occurring decades earlier were not considered to be reliable enough to further refine the exposure measure. Instead, exposures values represent the modeled cumulative mass of PCE entering the homes of study participants, rather than a direct measure of PCE intake by the subjects. For example, the modeled cumulative mass of PCE was diluted before entering the home in an estimated 90,000 gallons of water used by an average household in a year. We assumed that all users on the water distribution network drew the same amount of water because the study area consisted mostly of residences. We also assumed that water sources did not change over the study period. The distribution systems that were in place by the 1960s and early 1970s remained generally unchanged until population growth during the 1980s required some systems to expand and add water sources. Our model was applied to the water distribution system conditions in 1980, near the end of the prenatal exposure period.

PCE exposure levels were calculated for the study children who had completely geocoded residential histories and information on their mother’s last menstrual period (LMP). The LMP was based on birth certificate information on date of birth and gestational duration. Cumulative exposure to PCE (in grams) during the prenatal and early postnatal period was calculated by summing the amount of PCE delivered to each subject’s residence from the month and year of the LMP through the month and year of his/her fifth birthday. Most subjects with prenatal exposure also had postnatal exposure and so it was not possible to examine these developmental stages separately.

2.5. Statistical Analysis

Of the 65 subjects tested, two were excluded from the analyses because they failed the Test of Memory Malingering (TOMM) (Tombaugh, 1996) and their data were deemed unreliable. The following measures of neuropsychological performance were assessed (Table 3): Omnibus Intelligence using the Wechsler Abbreviated Scales of Intelligence (WASI) (Wechsler, 1999); academic achievement using two subtests of the Wide Range Achievement Test 3 (WRAT-Reading and Arithmetic) (Wilkinson, 1993); language using the Boston Naming Test (BNT) (Kaplan et al., 1983); visuospatial skills using the Hooper Visual Organization Test (HVOT) (Hooper, 1983) and the copy condition of the Rey-Osterrieth Complex Figure (ROCF) (Osterrieth, 1944); learning and memory using the recall conditions of the ROCF and Wechsler Memory Scale–Visual Reproduction (Wechsler, 1945) and the California Verbal Learning Test (CVLT) (Delis et al., 2000); attention and executive function using the Trail-making Test (TMT) (Reitan, 1992) parts A and B and the Conners Adult ADHD Rating Scale (Conners et al., 1999); motor skills using the continuous performance and finger tapping subtests of the Neurobehavioral Evaluation System-3 (NES) (Baker et al., 1985), and current mood using the Profile of Mood States (POMS) (McNair et al., 1992).

Regression models were used to assess the relationship between PCE exposure and the test scores. All analyses compared subjects with prenatal and early postnatal PCE exposure combined to subjects with no exposure during both periods. Mean differences (for continuous scores) and relative risks (for dichotomous scores) were used to assess the strength of the association between the exposure and a particular outcome. Ninety-five percent confidence intervals were used to assess the precision of the associations.

Review of the PCE exposure distribution did not identify any natural cut points for a dose-response assessment. Therefore, a logical cut point of 76.7 g was derived to delineate “low” and “high” exposure which corresponded to being exposed to an average drinking water concentration of 40 ug/L, the suggested action level when the contamination was discovered in 1980, for the entire prenatal and postnatal exposure period.

First, crude analyses were conducted for each neuropsychological outcome without adjusting for any potential confounders. Next, multivariate analyses were conducted to control for confounding variables. For all continuous outcomes and categorical outcomes with sufficient numbers, the confounder assessment began with a multivariate model that included subject’s education and gender because of their known association with the outcomes. The remaining possible confounders (see Table 2) were entered into the education- and gender-adjusted model one at a time to determine which additional variables to control (Aschengrau et al., 2003). Variables that changed an outcome measure by more than 30% were included in the final multivariate model. Confounder assessment for categorical outcomes with small numbers also followed this process but began with a crude model with only the exposure variable.

Table 2
Population Characteristics by Exposure Group

To assess group differences by neuropsychological domain, individual test scores within a domain were converted to a t-score based on the entire sample. T-scores for each domain were averaged and mean differences were used to assess the strength of the association between the exposure and an outcome. Ninety-five percent confidence intervals were used to assess the precision of the differences.

3. Results

A total of 63 subjects was available for the final analysis. Two neuropsychological tests had fewer subjects available for analysis because of lost data due to computer failure (computer-based NES = 56 and Conners Adult ADHD Rating Scale =58). According to the initial exposure designation, there were 31 exposed and 32 unexposed children. Following the in-depth exposure assessment, there were 35 exposed and 28 unexposed children because four unexposed children switched to the exposed group (Table 1). The primary reason for switching was having a residence down gradient from a VL/AC pipe that was originally considered unexposed by visual inspection. This information was not available when the original exposure designations were made.

There was a wide distribution of estimated exposures during the prenatal and postnatal periods. Among exposed individuals, levels ranged from 0.4 grams to 1255 grams during the prenatal exposure period and from 0.7 grams to 3413 grams during the postnatal exposure period. These values represent the modeled cumulative mass of PCE entering the homes of study participants and were not a direct measure of PCE intake by the subjects.

The characteristics of the exposed and unexposed groups were, for the most part, very similar (Table 2). The subjects were predominately white, educated beyond high school, and, on average, 29-30 years old at testing. Subjects also gave similar self-reports of ADD/HD, learning problems, mental illness (mainly depression), and solvent exposure. Mothers in both groups were, on average, 28-29 years old at the subject’s birth and mostly educated beyond high school. Maternal histories of prenatal cigarette smoking, alcohol consumption, marijuana use and multivitamin supplementation were also similar across groups. There were some differences in mother’s breastfeeding practices and maternal solvent exposure.

3.1. Neuropsychological Test Results

The crude and adjusted neuropsychological test results are presented in Table 4 (continuous outcomes) and Table 5 (dichotomous outcomes). There were no meaningful differences between the exposed and unexposed groups in the domains of omnibus intelligence, academic achievement and language. Results in the omnibus intelligence domain were not statistically significant and were also inconsistent, with exposed subjects performing better on some measures (Table 4, VIQ β 4.8, 95% CI -1.1, 10.8, p=0.11; FSIQ β 1.6, 95% CI -4.0, 7.3, p=.56) and worse on others (Table 4, PIQ β -2.8, 95% CI -9.1, 3.4, p=0.37). The academic achievement domain had similar non-significant and inconsistent results with exposed subjects performing better on WRAT3 reading (Table 4, β 1.2, 95% CI -9.9, 12.3, p=0.83) and worse on WRAT3 spelling (Table 4, β -6.8, 95% CI -17.1, 3.5, p=0.19). Exposed subjects had, on average, less than a one word reduction on the Boston Naming Test (Table 4, β -0.2, 95% CI -2.1, 1.7, p=0.83) that was not statistically significant. In the visuospatial domain, exposed subjects performed worse on the Hooper Visual Organization Test (HVOT) (Table 5, RR 5.6 for total score <=24, 95% CI 0.7-42.9, p=0.07) and showed a slight decrement in scores on the ROCF copy condition (Table 4, β -0.5, 95% CI -1.4, 0.3, p=0.21), but none of these differences results were statistically significant.

Table 4
Neuropsychological Test Results - Crude and Adjusted Continuous Outcomes
Table 5
Neuropsychological Test Results - Crude and Adjusted Dichotomous Outcomes

Exposed subjects also performed consistently worse than unexposed subjects on the neuropsychological tests in the learning and memory domain. Scores among exposed subjects were significantly worse than among unexposed subjects on the WMS-VR delayed recall condition (Table 4, β -1.5, 95% CI -2.9, -0.1, p=0.04). Performance of exposed subjects was slightly worse than that of unexposed subjects on the WMS-VR immediate recall condition (Table 4, β -0.5, 95% CI -1.8, 0.7, p=0.42); the CVLT short delay recall (Table 4, β -0.9, 95% CI -2.5, 0.8, p=0.31) and long delay recall (Table 4, β -0.6, 95% CI -1.9, 0.8, p=0.43), but these results were not statistically significant. Compared to the unexposed subjects, the exposed subjects also showed a slight increase in CVLT long delay recognition false positives (Table 4, β 0.6, 95% CI -0.7, 1.9, p=0.36) and in the number of free recall repetitions (perseverations) (Table 4, β 1.6, 95% CI -0.5, 3.7, p =0.13), but these findings were not statistically significant. Exposed subjects also performed slightly worse than controls on the ROCF immediate recall condition (Table 4, β -0.5, 95% CI -3.6, 2.6, p=0.74) and delayed recall condition (Table 4, β -1.1, 95% CI -4.1, 2.0, p=0.49), but again these results were not statistically significant.

Exposed subjects also had consistently lower scores than unexposed subjects on tests in the attention domain, although these differences were not statistically significant. Exposed subjects had a 60% increase in the number of errors on Part A of the Trail-making Test, (Table 5, RR 1.6, 95% CI 0.5, 4.8, p=0.39) and an increase in the time to its completion, with a corresponding decrease in percentile score (Table 4, β 2.9, 95% CI -0.1, 6.0, p=0.06 and percentile, β -11.8, 95% CI -23.9, 0.3, p=0.05). Though not statistically significant, the exposed subjects’ reaction time was, on average, 11.9 seconds slower on the NES continuous performance test (reaction time β 11.9, 95% CI -8.2, 31.9, p=0.24) than unexposed subjects. There were mixed results on the Conners Adult ADHD Rating Scale. For example, exposed subjects were 50% more likely to endorse items of hyperactivity and restlessness (Table 5, RR 1.5, 95% CI 0.6, 3.9, p=0.37) and 40-60% less likely to endorse items of inattention and ADHD symptomology (Table 5, Inattention RR 0.5, 95% CI 0.2, 1.2, p=0.12; DSM-IV inattentive symptoms RR 0.6, 95% CI 0.2, 1.4, p=0.22; DSM-IV ADHD symptoms RR 0.4, 95% CI 0.1, 1.0, p=0.03), with the DSM-IV ADHD symptom scale results reaching statistical significance.

Exposed subjects also had a slight but consistent decrease in motor speed (Table 4, NES finger tapping – non dominant hand β -1.8, 95% CI -5.7, 2.2, p=0.37; dominant hand β -0.8, 95% CI -5.1, 3.6, p=0.72). Lastly, exposed subjects were 30% more likely to report being irritable and 60% more likely to report being fatigued (Table 5, POMS Anger RR 1.3, 95% CI 0.6, 2.8, p=0.57, POMS Fatigue RR 1.6, 95% CI 0.9, 3.0, p=0.14). There were no differences on the other measures of mood function including the total mood score (Table 5, Total Mood Score RR 1.0, 95% CI 0.5, 1.8, p=0.99). Evaluation of the relationships between estimated exposure dose and test outcomes showed no statistically significant findings (results not presented).

3.2. Neuropsychological Tests by Domain Results

When domains with multiple tests were combined into single t-scores, a trend was identified for slightly worse performance in the visuospatial, learning and memory, attention and executive function domains, with a slight trend for mood alterations among exposed subjects. Beta estimates of mean differences were -0.3 for the visuospatial domain (95% CI -0.6, 0.1, p=0.14), -0.2 for learning and memory (95% CI -0.6, 0.1, p=0.17), -0.2 for attention and executive function (95% CI -0.5, 0.1, p=0.16), and -0.1 for mood alterations (95% CI -0.6, 0.1, p=0.79). These decrements were not statistically significant.

4. Discussion

The results of this study suggest that prenatal and early postnatal exposure to PCE does not cause major decrements in adult neuropsychological performance, although there was a suggestion of an association between exposure and diminished performance in specific domains of functioning on tests assessing cognitive performance. Exposed subjects performed worse on both measures in the visuospatial domain and both measures of motor functioning but none of the decrements were statistically significant. Examining the learning/memory domain as a whole, exposed subjects performed worse on all 10 scores in the domain, but only one decrement was statistically significant. Similarly, for the attention domain, exposed subjects performed worse on all 7 scores in the domain, but only one was statistically significant. Results of this study also suggest that prenatal and early postnatal exposure to PCE may be associated with a slight though not statistically significant increase in mood complaints, specifically fatigue and irritability. There was also a statistically significant reduction in the total ADHD symptom score in the exposed group, though the other results on the Conners Adult ADHD Rating Scale were mixed. No clear dose-response pattern was observed for these outcomes and no associations were observed with deficits in the omnibus intelligence, academic achievement or language domains. The domain-specific findings are similar to results from studies of workers with occupational exposures to PCE (Echeverria et al., 1995, Daniell et al., 1999), and are consistent with the idea that PCE exposure targets frontal-subcortical function in the brain, with limbic system involvement (Daniell et al., 1999).

The small size of this study limited its power to detect subtle yet statistically significant differences between exposed and unexposed subjects. However, the associations observed within specific domains suggest that PCE exposure may lead to subtle deficits in visuospatial, motor, learning and memory and attention.

Exposure misclassification also limited the study’s ability to detect group differences. Historical exposures were calculated using a leaching and transport model and a computer model that estimated the mass of PCE delivered to each residence. While results from a validation study suggest reasonable agreement between the modeled exposure estimates and historical PCE water samples (Spearman correlation coefficient = 0.48, p<0.0001) (Spence et al., 2008), some non-differential misclassification was likely due to errors in estimating the magnitude and direction of the water flow. While individual exposures may differ due to differences in water ingestion and bathing habits findings from recent studies suggest that taking these factors into account does not change the exposure ranking in a meaningful way (Vieira et al., 2005). When dichotomous exposures were examined, non-differential misclassification likely biased results towards the null. However, because three exposure groups were examined in the dose-response assessment, results for the low exposure group may have been biased either towards or away from the null, while results for the high exposure group were likely biased toward the null (Rothman et al., 1998). This phenomenon may explain why no consistent pattern was seen in the dose-response assessment.

Despite these limitations, this study has many strengths. The study population was exposed to a wide range of PCE levels from an environmental source with little confounding by other water contaminants (Aschengrau and Ozonoff, 1991). Information from birth certificates and questionnaires was also available for a large number of important confounding variables. Small differences between the crude and adjusted results indicates that there was little confounding by the measured covariates and suggest that there is minimal residual confounding from unmeasured covariates. While non-participants tended to have more self-reported learning problems and more use of self-service dry cleaners than participants, this was true for both exposed and unexposed non-participants and so selection bias was unlikely. Recall bias was also unlikely. While there were newspaper articles in the 1980s reporting the streets where the VL/AC pipes were located, most participants did not accurately report their exposure status on the questionnaire. When asked whether they believed their water was contaminated, 11.4% of exposed subjects believed their water was contaminated while 34.3% did not believe it was contaminated and 54.3% did not know. Furthermore, 32.1% of the unexposed group believed their water was not contaminated while 7.1% believed it was contaminated and 60.7% did not know.

Two prior epidemiologic studies of pregnant women occupationally exposed to solvents found that the offspring showed decrements in neuropsychological function relative to controls when tested at ages 3-9 years (Till et al., 2001; Laslo-Baker et al., 2004). These studies used sensitive measures to assess brain function and found that exposed children performed worse on measures of general intelligence, expressive and receptive language abilities and motor tasks than unexposed children. In contrast, one previous epidemiologic study of the offspring of pregnant women occupationally exposed to solvents found no association between exposure and general intelligence among children at ages 3-4 years (Eskenazi et al., 1988). The test measure used in this is less sensitive that those used by Till et al. (Till et al., 2001) and Laslo-Baker et al. (Laslo-Baker et al., 2004). Other differences in study design also make it difficult to compare the results of the occupational studies to ours. For example, the occupational studies assessed the impact of early life exposure to mixed solvents on a limited number of domains of neuropsychological functioning among children. In contrast, the current study examined the impact of early life exposure to a single solvent on a wide range of neuropsychological outcomes among adults.

Only one prior study, the Pumpkin Patch Day Care Center Follow-up Evaluation, has examined exposure to PCE alone in an environmental setting and subsequent neuropsychological performance. In this study, postnatal exposure to contaminated air occurred while children attended a day care facility adjacent to a dry cleaning establishment using PCE. Behavioral assessments took place when children were between the ages of 4-5 years (NYSDOH, 2005b) and again 4-5 years later (NYSDOH, 2005a; NYSDOH, 2005c). No behavioral decrements were found in these children at either assessment. However, this study’s ability to detect subclinical neuropsychological deficits was limited due to its small sample size (exposed N = 13, unexposed N = 13). The null findings may also stem from examining only postnatal exposure.

In summary, the results of this study suggest that prenatal and early postnatal exposure to PCE may lead to decreased performance on neuropsychological tests, specifically in the visuospatial, fine manual motor, learning and memory, and attention domains. In addition, no associations were found between prenatal and early postnatal exposure to PCE and decrements in performance on tests assessing omnibus intelligence, academic achievement, or language. Because our population was highly educated, predominately white, and had good access to prenatal care, the present results may not be generalizable to more ethnically diverse and disadvantaged populations. Future studies with a larger sample size among populations with prenatal and early postnatal PCE exposure should include tests of visuospatial, motor, learning and memory and attention domains to further understand and define the deficits in neuropsychological performance following early developmental PCE exposure and to further determine whether there is an adverse neurobehavioral effect following exposure.


This research was supported by a grant from the National Institute of Environmental Health Sciences, Superfund Research Program (5 P42 ES007381). The study sponsors have had no role in study design, data collection, analysis, interpretation of results, manuscript writing or the decision to submit this paper for publication. This paper’s contents are solely the responsibility of the authors and do not necessarily represent the official views of NIEHS, NIH. This study was approved by the Institutional Review Boards of the Massachusetts Department of Public Health and Boston University Medical Center, and by the 24A/B/11B Review Committee at the Massachusetts Department of Public Health.


Conflict of Interest

Three year ago, Dr. Aschengrau served as a consultant in a personal injury case involving chlorinated solvent contamination. None of the parties in this litigation supported, reviewed or had knowledge of this paper.

All other authors (Patricia Janulewicz, Roberta White, Brett Martin, Michael Winter, Janice Weinberg, Veronica Vieira) attest to having no conflict of interest.

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.


  • Altmann L, Neuhann HF, Kramer U, Witten J, Jermann E. Neurobehavioral and neurophysiological outcome of chronic low-level tetrachloroethene exposure measured in neighborhoods of dry cleaning shops. Environ Res. 1995;69:83–9. [PubMed]
  • Aral MM, Maslia ML, Ulirsch GV, Reyes JJ. Estimating Exposure to Volatile Organic Compounds from Municipal Water-Supply Systems: Use of a Better Computational Model. Environ Health Arch. 1996;51:300–09. [PubMed]
  • Aschengrau A, Ozonoff D. Upper Cape Cancer Incidence Study Final Report. Submitted to Massachusetts Department of Public Health; 1991.
  • Aschengrau A, Rogers S, Ozonoff D. Perchloroethylene-contaminated drinking water and the risk of breast cancer: additional results from Cape Cod, Massachusetts, USA. Environ Health Perspect. 2003;111:167–73. [PMC free article] [PubMed]
  • Aschengrau A, Seage G. Essentials of Epidemiology in Public Health. Boston: Jones and Bartlett Publishers; 2003.
  • Aschengrau A, Weinberg JM, Janulewicz PA, Gallagher LG, Winter MR, Vieira VM, et al. Prenatal exposure to tetrachloroethylene-contaminated drinking water and the risk of congenital anomalies: a retrospective cohort study. Environ Health. 2009;8:44–60. [PMC free article] [PubMed]
  • Baker EL, Letz RE, Fidler AT, Shalat S, Plantamura D, Lyndon MA. Computer-based neurobehavioral evaluation system for occupational and environmental epidemiology: Methodology and validation studies. Neurobehavioral Toxicology and Teratology. 1985;7(4):369–77. [PubMed]
  • Bale AS, Barone S, Scoot C, Cooper G. A review of potential neurotoxic mechanisms among three chlorinated organic solvents. Toxicology and Applied Pharmacology. 2011;15:113–26. [PubMed]
  • Bockelmann I, Darius S, McGauran N, Robra BP, Peter B, Pfister EA. The psychological effects of exposure to mixed organic solvents on car painters. Disabil Rehabil. 2002;24:455–61. [PubMed]
  • Bowler RM, Lezak M, Booty A, Hartney C, Mergler D, Levin J, et al. Neuropsychological dysfunction, mood disturbance, and emotional status of munitions workers. Appl Neuropsychol. 2001;8:74–90. [PubMed]
  • Brown Dzubow R, Makris S, Siegel Scott, Barone S. Early lifestage exposure and potential developmental susceptibility to tetrachloroethylene. Birth Defects Research B Developmental and Reproductive Toxicology. 2010;89(1):50–65. [PubMed]
  • Commonwealth of Massachusetts Department of Environmental Quality Engineering, Division of Water Supply. Status Report on Tetrachloroethylene Contamination of Public Drinking Water Supplies caused by Vinyl-Lined Asbestos Cement Pipe. 1982
  • Condray R, Morrow LA, Steinhauer SR, Hodgson M, Kelley M. Mood and behavioral symptoms in individuals with chronic solvent exposure. Psychiatry Res. 2000;97:191–206. [PubMed]
  • Conners CK, Erhardt D, Sparrow EP. Conner’s Adult ADHD Rating Scales (CAARS) North Tonawanda: Multi-Health Systems; 1999.
  • Daniell WE, Claypoole KH, Checkoway H, Smith-Weller T, Dager SR, Townes BD, et al. Neuropsychological function in retired workers with previous long-term occupational exposure to solvents. Occup Environ Med. 1999;56:93–105. [PMC free article] [PubMed]
  • Delis DH, Kramer JH, Kaplan E, Ober BA. California Verbal Learning Test-2nd ed (CVLT-II) Cleveland, OH: Psychological Corporation; 2000.
  • Demond A. Source of Tetrachloroethylene in the Drinking Water of New England: An Evaluation of Toxicity of Tetrachloroethylene and the Prediction of its Leaching Rates from Vinyl-lined Asbestos-cement Pipe [MS Thesis] Cambridge, MA: Massachusetts Institute of Technology; 1982.
  • Echeverria D, White RF, Sampaio C. A behavioral evaluation of PCE exposure in patients and dry cleaners: a possible relationship between clinical and preclinical effects. J Occup Environ Med. 1995;37:667–80. [PubMed]
  • EPA U. IRIS Toxicological Review of Tetrachloroethylene (Perchloroethylene) (External Review Draft) 2008
  • Eskenazi B, Gaylord L, Bracken MB, Brown D. In utero exposure to organic solvents and human neurodevelopment. Dev Med Child Neurol. 1988;30:492–501. [PubMed]
  • Feldman RG. Occupational and Environmental Neurotoxicology. Philidelphia, PA: Lippincott-Raven Publishers; 1999.
  • Fiedler N, Weisel C, Lynch R, Kelly-McNeil K, Wedeen R, Jones K, et al. Cognitive effects of chronic exposure to lead and solvents. Am J Ind Med. 2003;44:413–23. [PubMed]
  • Gallagher LG, Vieira VM, Ozonoff D, Webster TF, Aschengrau A. Risk of breast cancer following exposure to tetrachloroethylene-contaminated drinking water in Cape Cod, Massachusetts: reanalysis of a case-control study using a modified exposure assessment. Environ Health. 2011;10:47–52. [PMC free article] [PubMed]
  • Grosch JW, Neale AV, Demers RY. Neurobehavioral and health-related deficits in solvent-exposed painters. Am J Ind Med. 1996;30:623–32. [PubMed]
  • Hooper H. Hooper Visual Organization Test (HVOT) Los, Angeles: Western Psychological Services; 1983.
  • Ichihara G, Li W, Shibata E, Ding X, Wang H, Liang Y, et al. Neurologic abnormalities in workers of a 1-bromopropane factory. Environ Health Perspect. 2004;112:1319–25. [PMC free article] [PubMed]
  • Janulewicz PA, White RF, Winter MR, Weinberg JM, Gallagher LE, Vieira V, et al. Risk of learning and behavioral disorders following prenatal and early postnatal exposure to tetrachloroethylene (PCE)-contaminated drinking water. Neurotoxicol Teratol. 2008;30:175–85. [PMC free article] [PubMed]
  • Kaplan E, Goodglass H, Weintraub S. The Boston Naming Test. Philadelphia: Lea & Febiger; 1983.
  • Kilburn KH. Is neurotoxicity associated with environmental trichloroethylene (TCE)? Arch Environ Health. 2002;57:113–20. [PubMed]
  • Klaassen CD. Casarett and Doull’s Toxicology: The basic science of poisons. New York: McGraw-Hill. Medical Publishing Division; 2001.
  • Larson CD, Love T, Reynolds G. Tetrachloroethylene leached from lined asbestos-cement pipe into drinking water. JAWWA. 1983;75:184–88.
  • Laslo-Baker D, Barrera M, Knittel-Keren D, Kozer E, Wolpin J, Khattak S, et al. Child neurodevelopmental outcome and maternal occupational exposure to solvents. Arch Pediatr Adolesc Med. 2004;158:956–61. [PubMed]
  • Maslia ML, Sautner JB, Aral MM, Reyes JJ, Abraham JE, Williams RC. Using Water-Distribution System Modeling to Assist Epidemiologic Investigations. J Water Res Plan Mgmt. 2000;126:180–98.
  • McNair DM, Lorr M, Droppleman L. POMS: Profile of mood states. San Diego, CA: EDITS/Educational and Industrial Testing Service; 1992.
  • Moran MJ, Zogorski JS, Squillace PJ. Chlorinated solvents in groundwater of the United States. Environ Sci Technol. 2007;41:74–81. [PubMed]
  • Morrow LA, Gibson C, Bagovich GR, Stein L, Condray R, Scott A. Increased incidence of anxiety and depressive disorders in persons with organic solvent exposure. Psychosom Med. 2000;62:746–50. [PubMed]
  • Morrow LA, Scott A. Comparison of neuropsychological test scores between men and women with prior exposure to organic solvents. Appl Neuropsychol. 2002;9:240–3. [PubMed]
  • Morrow LA, Steinhauer SR, Condray R, Hodgson M. Neuropsychological performance of journeymen painters under acute solvent exposure and exposure-free conditions. J Int Neuropsychol Soc. 1997;3:269–75. [PubMed]
  • NYSDOH. EPA Star Grant R827445. Center for Environmental Health. Bureau of Toxic Substance Assessment; 2005a. Improving human risk assessment for tetrachloroethylene by using biomarkers and neurobehavioral testing.
  • NYSDOH. Pumpkin Patch Day Care Center Investigation. Final Report. Center for Environmental Health. Bureau of Toxic Substance Assessment; 2005b.
  • NYSDOH. Pumpkin Patch Day Care Center Follow-up Evaluation. Final Report. Center for Environmental Health. Bureau of Toxic Substance Assessment; 2005c.
  • Osterrieth PA. Le test de copie d’une figure complex. Archives de Psychologie. 1944;30
  • Pauling TL, Ogden JA. Screening and Neuropsychological Assessment of Spray Painters at Risk for Organic Solvent Neurotoxicity. Int J Occup Environ Health. 1996;2:286–93. [PubMed]
  • Reif JS, Burch JB, Nuckols JR, Metzger L, Ellington D, Anger WK. Neurobehavioral effects of exposure to trichloroethylene through a municipal water supply. Environ Res. 2003;93:248–58. [PubMed]
  • Reitan RM. Trail Making Test: manual for administration and scoring. Tucson, AZ: Reitan Neuropsychology Laboratory; 1992.
  • Rosenberg NL, Grigsby J, Dreisbach J, Busenbark D, Grigsby P. Neuropsychologic impairment and MRI abnormalities associated with chronic solvent abuse. J Toxicol Clin Toxicol. 2002;40:21–34. [PubMed]
  • Rossman LA. EPANET Users Manual. Cincinnati, OH: Environmental Protection Agency, Risk Reduction Engineering Laboratory; 1994.
  • Rothman KJ, Greenland S. Modern Epidemiology. Philadelphia, PA USA: Lippincott-Raven Publishers; 1998.
  • Spence LA, Aschengrau A, Gallagher LE, Webster TF, Heeren TC, Ozonoff DM. Evaluation of the Webler-Brown model for estimating tetrachloroethylene exposure from vinyl-lined asbestos-cement pipes. Environ Health. 2008;7:24–37. [PMC free article] [PubMed]
  • Stevens YW, Eisenmann C. Toxicological profile for 1,1,2,2-tetrachloroethylene. Services USDoHaH. Agency for Toxic Substances and Disease Registry. 1997
  • Strauss E, Sherman E, Spreen O. A Compendium of Neuropsychological Tests. New York, NY: Oxford Press; 2006.
  • Till C, Koren G, Rovet JF. Prenatal exposure to organic solvents and child neurobehavioral performance. Neurotoxicol Teratol. 2001;23:235–45. [PubMed]
  • Tombaugh TN. Test of Memory Malingering (TOMM) Toronto: Multi-Health Systems; 1996.
  • TOXICS OOPPA. OPPT Chemical Fact Sheet EPA 749-F-94-020. AGENCY USEP. 1994
  • Tsai SY, Chen JD, Chao WY, Wang JD. Neurobehavioral effects of occupational exposure to low-level organic solvents among Taiwanese workers in paint factories. Environ Res. 1997;73:146–55. [PubMed]
  • Vieira V, Aschengrau A, Ozonoff D. Impact of tetrachloroethylene-contaminated drinking water on the risk of breast cancer: using a dose model to assess exposure in a case-control study. Environ Health. 2005;4:3–21. [PMC free article] [PubMed]
  • Webler T, Brown HS. Exposure to tetrachloroethylene via contaminated drinking water pipes in Massachusetts: a predictive model. Arch Environ Health. 1993;48:293–97. [PubMed]
  • Wechsler D. A standardized memory scale for clinical use. J Psychol. 1945
  • Wechsler D. Wechsler Abbreviated Scale of Intelligence. New York: Psychological Corporation; 1999.
  • White RF, Proctor SP, Echeverria D, Schweikert J, Feldman RG. Neurobehavioral effects of acute and chronic mixed-solvent exposure in the screen printing industry. Am J Ind Med. 1995;28:221–31. [PubMed]
  • White RF, Proctor SP, Heeren T, Wolfe J, Krengel M, Vasterling J, et al. Neuropsychological function in Gulf War veterans: relationships to self-reported toxicant exposures. Am J Ind Med. 2001;40:42–54. [PubMed]
  • Wilkinson G. WRAT-3: Wide Range Achievement Test, Administration Manual. Wilmington, DE: Wide Range, Inc.; 1993.
  • Wood RL, Liossi C. Long-term neuropsychological impact of brief occupational exposure to organic solvents. Arch Clin Neuropsychol. 2005;20:655–65. [PubMed]