Intellectual Impairment in Children with Blood Lead Concentrations below 10 µg per Deciliter
Richard L. Canfield, Ph.D., Charles R. Henderson, Jr., M.A., Deborah A. Cory-Slechta, Ph.D., Christopher Cox, Ph.D., Todd A. Jusko, B.S., and Bruce P. Lanphear, M.D., M.P.H.
Background Despite dramatic declines in children's blood leadconcentrations and a lowering of the Centers for Disease Controland Prevention's level of concern to 10 µg per deciliter(0.483 µmol per liter), little is known about children'sneurobehavioral functioning at lead concentrations below thislevel.
Methods We measured blood lead concentrations in 172 childrenat 6, 12, 18, 24, 36, 48, and 60 months of age and administeredthe StanfordBinet Intelligence Scale at the ages of 3and 5 years. The relation between IQ and blood lead concentrationwas estimated with the use of linear and nonlinear mixed models,with adjustment for maternal IQ, quality of the home environment,and other potential confounders.
Conclusions Blood lead concentrations, even those below 10 µgper deciliter, are inversely associated with children's IQ scoresat three and five years of age, and associated declines in IQare greater at these concentrations than at higher concentrations.These findings suggest that more U.S. children may be adverselyaffected by environmental lead than previously estimated.
It remains unclear whether lead-associated cognitive deficitsoccur at concentrations below 10 µg per deciliter. TheCDC and WHO recognized that no evidence of a threshold existedfor lead-associated deficits but noted an absence of researchon the possible effects of blood lead concentrations below 10µg per deciliter. Although some studies in which the averageblood lead concentration was below 10 µg per deciliterhave reported associations between the blood lead concentrationand cognitive deficits, the analyses did not focus specificallyon children whose concentrations remained below 10 µgper deciliter throughout life.6,11 Other evidence suggestinglead-related deficits at concentrations below 10 µg perdeciliter relied on linear extrapolation or on data unadjustedfor important potential confounders such as maternal intelligenceand the quality of caregiving.12,13,14,15 We examined associationsbetween low-level exposure to lead and children's performanceon intelligence tests at the ages of three and five years ina population that included many children whose blood lead concentrationsremained below 10 µg per deciliter.
Methods
Study Cohort
Participants had been enrolled at five to seven months of agefor a prior study of dust-control efficacy.16 The children hadbeen born between July 1994 and January 1995. Families wereinvited to participate in the current study when the childrenwere 24 to 30 months of age. Thirty-six of the 276 childrenin the original study were excluded from the current study becauseof premature birth (less than 37 weeks' gestation), low birthweight (less than 2500 g), Down's syndrome, speech and hearingabnormalities, or death or because their parents were short-termcustodians or lacked English proficiency. Of the 240 eligibleparticipants, 54 were not assessed at the age of three yearsand 65 were not assessed at the age of five years because theymissed appointments, relocated, declined to participate, ordied. Children were tested at three and five years of age. Theinstitutional review board of the University of Rochester MedicalCenter (Rochester, N.Y.) approved the study protocol, and parentsor guardians of all children provided written informed consent.
Analysis and Quality Control of Blood Samples
Blood lead concentrations were determined by electrothermalatomic absorption spectrometry (Wadsworth Laboratories). Leadvalues were calculated as the means of six analyses of eachsample (SD, 0.03 µg per deciliter [0.001 µmol perliter]). The results of repeated analyses, separated by fivedays, were highly consistent (SD, 0.40 µg per deciliter[0.019 µmol per liter]) for blood lead concentrationsbelow 20 µg per deciliter (0.966 µmol per liter).The limit of detection was 1.0 µg per deciliter (0.048µmol per liter), and values below this limit were setto 1.0 µg per deciliter.17
Assessment of Intelligence
Children were assessed with the StanfordBinet IntelligenceScale, fourth edition, which tests vocabulary, spatial patternanalysis, quantitative ability, and memory. We used the compositescore (mean [±SD], 100±16) to represent IQ, becauseit is similar to the IQ score of other intelligence tests.18,19A different examiner administered an abbreviated StanfordBinetScale at each age. Examiners were unaware of children's leadstatus. Scores from the abbreviated batteries are highly correlatedwith the StanfordBinet full composite score (0.94 atthe age of three years and 0.99 at the age of five years).20Because of the limited diagnostic value of StanfordBinetsubscales at these ages, the composite score was the dependentvariable.19
Lead Exposure Variables
Venous blood samples were obtained at 6, 12, 18, 24, 36, 48,and 60 months of age. Four exposure indexes were analyzed: lifetimeaverage, peak, concurrent, and average blood lead concentrationin infancy. The lifetime average blood lead concentration wasestimated at 3 and 5 years of age by computing the area underthe blood lead curve (AUC) from 6 through 36 months of age andfrom 6 through 60 months of age, respectively. Dividing theAUC by the corresponding age span yields an average concentrationexpressed in micrograms per deciliter. The peak blood lead concentrationis the child's highest measured lead concentration through theage of three or five years. The concurrent blood lead concentrationis that measured on the day of cognitive testing. The averageblood lead concentration in infancy is the AUC for values measuredbetween 6 and 24 months of age.
The lifetime average blood lead concentration best reflectschronic exposure and was used as the primary exposure variable.The blood lead concentration was specified as an untransformedcontinuous variable. To compute the AUC, conditional means regression21was used to impute values for 72 of the 1168 age-specific leadvalues (6.2 percent).
Covariates
All analyses used the same set of prespecified covariates, whichwere based on established predictors of children's intellectualoutcomes and those widely used in studies of pediatric leadexposure.2,3,4,8,22,23 The following variables were used: thechild's sex, birth weight, and iron status (defined by the serumtransferrin saturation at three and five years of age) and themother's IQ (determined with use of the abbreviated StanfordBinetIntelligence Scale), years of education, race (self-assignedas white or nonwhite), tobacco use during pregnancy (user ornonuser), yearly household income, and the total score for theHome Observation for Measurement of the Environment Inventory.24
Statistical Analysis
Mixed-model methods25,26 were used to estimate and test parametersin linear, polynomial, and semiparametric models that alwaysincluded the child's sex and the mother's race and prenatalsmoking status as fixed classification effects, and a lead measure,the child's iron status, and the mother's income, level of education,IQ, and Home Observation for Measurement of the Environmentscore as covariates. The child's IQ (the composite score onthe StanfordBinet Intelligence Scale) was the dependentvariable. The longitudinal study design provides repeated measuresof the IQ variable at the ages of three and five years, andthe models also include a fixed classification factor for ageand a random factor for individual children. The mother's incomeand level of education, the child's iron status, and all leadmeasures (except the infancy average) were measured at bothtime points and are time-varying covariates. The error structurefor each child assumes different variances at each age and acovariance between ages; these were assumed to be the same forall children, and covariances between children were assumedto be negligible. All significance tests were two-tailed.
For a given lead variable, regressions were specified separatelyaccording to age, and the homogeneity of these estimates wastested (i.e., the interaction of age with lead concentration).In the absence of a difference between the age-specific estimates,their unweighted average (based on all available data) is thebest estimate of the association between the blood lead concentrationand IQ and is referred to as the overall estimate.
Regression diagnostics were carried out for the mixed models.27Only one value had a standardized residual of more than 3.0(a child who had a low IQ and a low lead concentration). Itdid not pass a discordancy test27 and was retained in all analyses.
The linear relations of IQ scores to lifetime average, concurrent,peak, and infancy average blood lead concentrations were estimatedin the full sample. A second, parallel set of analyses estimatedthe relation between IQ and the lead concentration for childrenwhose peak lead concentration was below 10 µg per deciliter.Observations for children who were three years of age were includedin these calculations only when their maximal blood lead concentrationthrough that age was below 10 µg per deciliter and wereincluded at the age of five years only when their maximal concentrationwas below 10 µg per deciliter during the entire five-yearspan.
Nonlinearity in the relation between IQ and the blood lead concentrationacross the full range of lead values was examined with the useof the mixed models described above in two types of analyses:quadratic, cubic, and higher-degree polynomials were estimatedfor each lead variable; and semiparametric models were estimatedwith the use of parametric adjustment for covariates and penalizedspline smoothing for the nonparametric relation between IQ andthe blood concentration.28 The semiparametric models estimatethe regression locally and, unlike the polynomial models, donot require the restrictive assumption that the true relationbetween IQ and the blood lead concentration conforms to a particularparametric function. Inference is less well developed in themixed semiparametric model, and confidence intervals are notreported.
Results
A total of 198 children completed at least one assessment. Ofthese, 172 (86.9 percent) had complete data for all variablesincluded in the model (305 observations; 151 at the age of threeyears and 154 at the age of five years). There were no significantdifferences in the background characteristics among childrenwith complete data, those with incomplete data, and those whodid not participate (Table 1).
Figure 1. Distributions of Blood Lead Concentrations at Each Assessment.
In each box plot, the median value is indicated by the center horizontal line and the 25th and 75th percentiles are indicated by the lower and upper horizontal lines, respectively. The vertical lines represent 1.5 times the interquartile range, the asterisks represent values that are between 1.5 and 3 times the interquartile range, and circles represent values that are more than 3 times the interquartile range. The numbers at the top of the graph are the numbers of children with concurrent blood lead concentrations of more than 35 µg per deciliter. To convert values for lead to micromoles per liter, multiply by 0.0483.
Intelligence Test Results
The mean IQ was approximately 90 at both three and five yearsof age (Table 1), a value consistent with the sample demographics.20,29Children's IQ scores at three and five years of age were stronglycorrelated (r=0.67, P<0.001), and these scores were correlatedwith maternal IQ (r=0.43, P<0.001, and r=0.52, P<0.001,respectively), consistent with prior reports.22,30 In otherbivariate analyses, the associations among the children's IQ,the children's blood lead concentrations, and the other covariateswere in the expected direction (Table 2).
Table 2. Relation of Covariates to Lifetime Average Blood Lead Concentration and Mean IQ Score at Five Years of Age.
Blood Lead Concentrations and IQ
Before adjustment for covariates, all four lead measures wereinversely and significantly associated with IQ at three andfive years of age (Table 3). The associations did not differsignificantly according to age. From the overall estimate, anincrease in the lifetime average blood lead concentration of1 µg per deciliter was associated with a decrease of 0.87IQ point; estimates for concurrent blood lead concentrationsand average concentrations in infancy were similar, whereasthat for the peak lead concentration was somewhat smaller.
Table 3. Unadjusted and Adjusted Changes in IQ for Each Increase in the Blood Lead Concentration of 1 µg per Deciliter for All Children in the Study.
After adjustment for the nine additional covariates, there weresignificant inverse associations with IQ for all blood leadvariables, with no significant differences according to age(Table 3). The overall estimate indicated that an increase inthe lifetime average blood lead concentration of 1 µgper deciliter was associated with a change of 0.46 IQpoint (95 percent confidence interval, 0.76 to 0.15).Estimated effects were similar for the concurrent blood leadconcentration and the average blood lead concentration in infancyand smaller, but still significant, for peak lead concentrations(Table 3). Other significant predictors of the child's IQ werethe same in all models: maternal IQ and income and the child'sbirth weight.
IQ at Blood Lead Concentrations below 10 µg per Deciliter
To examine the relation between IQ and blood lead concentrationsconsistently below 10 µg per deciliter, linear modelsfor each lead variable were estimated for the subgroup of childrenwhose peak lead concentration was below 10 µg per deciliter.Without exception, the estimates were larger in this subgroup.Lifetime average, peak, and concurrent blood lead concentrations,but not the average in infancy, were inversely and significantlyassociated with IQ, both before and after adjustment for covariates(Table 4) and at both three and five years of age. The estimatedoverall difference in IQ for each increase in the lifetime averagelead concentration of 1 µg per deciliter was 1.37points (95 percent confidence interval, 2.56 to 0.17).
Table 4. Unadjusted and Adjusted Changes in IQ for Each Increase in the Blood Lead Concentration of 1 µg per Deciliter for Children with Peak Blood Lead Concentrations below 10 µg per Deciliter.
Nonlinear Analyses
Nonlinear mixed models were analyzed with the use of the fullrange of blood lead values. Semiparametric analysis indicateda decline in IQ of 7.4 points for a lifetime average blood leadconcentration of up to 10 µg per deciliter (Figure 2).For lifetime average blood lead concentrations ranging frommore than 10 µg per deciliter to 30 µg per deciliter,a more gradual decrease in IQ was estimated (approximately 2.5points). An analysis using polynomial models confirmed thisdeparture from linearity. The quadratic term was significantin the model for lifetime average blood lead concentration (P=0.05),and as the blood lead concentration increased from 1 to 10 µgper deciliter, the total change in IQ was 8.0 points(95 percent confidence interval, 12.9 to 3.2).Significant nonlinearity was also found for the relations betweenIQ and the peak lead concentration (P=0.003 for the quadraticterm) and between IQ and the concurrent lead concentration (P=0.007for the cubic term). The spline estimates for these variableshad shapes similar to that for the lifetime average. The samecovariates that were significant in the linear models were alsosignificant in the nonlinear models.
Figure 2. IQ as a Function of Lifetime Average Blood Lead Concentration.
IQ was assessed with use of the StanfordBinet Intelligence Scale, fourth edition. The line represents the relation between IQ and lifetime average blood lead concentration estimated by the covariate-adjusted penalized-spline mixed model. Individual points are the unadjusted lifetime average blood lead and IQ values. To convert values for lead to micromoles per liter, multiply by 0.0483.
The second, related finding is that the relation between children's IQ score and their blood lead concentration is nonlinear.Thebest estimate, from the semiparametric analysis, indicates aloss of 7.4 IQ points for a lifetime average blood lead concentrationof up to 10 µg per deciliter. These findings suggest thatthe total lead-related impairment in this cohort is due largelyto the initial IQ loss at blood lead concentrations of 10 µgper deciliter or less and that the linear model for childrenwith peak concentrations of less than 10 µg per deciliteroverestimates the lead-associated impairment.
Previous research is consistent with the interpretation thatthe effects of lead on IQ are proportionally greater at lowerlead concentrations. A cross-sectional study of children withlead concentrations ranging from 3 to 34 µg per deciliter(0.145 to 1.643 µmol per liter) suggested a larger decrementin scores on ability tests over the range of 5 to 10 µgper deciliter (0.242 to 0.483 µmol per liter) than overthe range from more than 10 through 20 µg per deciliter.6A second cross-sectional study that used data from the thirdNational Health and Nutrition Examination Survey indicated greaterpossible effects on reading and math scores among children withblood lead concentrations below 5 µg per deciliter thanamong those with higher concentrations.12 In addition, a prospectivestudy32 suggested that the effects of prenatal exposure to leadwere proportionally greater at lower levels of exposure, anda meta-analysis33 reported that studies in which average bloodlead concentrations were below 15 µg per deciliter (0.725µmol per liter) had larger slope estimates than studiesin which concentrations were higher. However, we have documentedthis finding in children whose blood lead concentrations remainedbelow 10 µg per deciliter, using a prospective designand adjusting for maternal intelligence and the quality of thehome environment. Moreover, our findings were similar when thechildren were tested at three years and at five years of age.
The larger associations with IQ at lower lead concentrationsmay appear counterintuitive. Although we did not explore possiblebiologic mechanisms that could explain this finding, there isevidence that high concentrations of heavy metals may enhancecellular defense mechanisms and thereby lessen the rate at whichadditional damage occurs.35
As with any observational study, it is not possible to drawcausal inferences from these findings. Instead, the plausibilityof a causal interpretation must be judged by the consistencyof findings from numerous epidemiologic studies and the relevantexperimental studies in animals.7,36,37 An inevitable limitationof the observational design is that it is not possible to controlfor all potentially confounding variables. However, the availableevidence suggests that, in this area of research, a relativelysmall number of variables (e.g., the Home Observation for Measurementof the Environment score, socioeconomic status, and maternalIQ) are the primary confounders and that including other variablesdoes not appreciably change the estimated effect of lead.11,38For example, Tong and Lu compared the results of two empiricalmodel-selection procedures using the Port Pirie cohort study.38One procedure resulted in a model with 4 covariates, and theother in a model with 14. The estimated effect of lead on IQwas nearly identical in the two models and was consistent withthe linear estimates we report.
Our findings (both linear and nonlinear) for the four lead-exposurevariables suggest a high degree of consistency for lifetimeaverage, concurrent, and peak exposure. In their pattern ofassociation with children's IQ scores, concurrent blood leadconcentration was nearly identical to the lifetime average andthe peak exposure. By contrast, the average blood lead concentrationin infancy was less predictive of IQ, particularly for childrenwhose lead concentrations remained below 10 µg per deciliter.We note, however, that these variables are by definition highlyintercorrelated, and our results for them are not fully independent.
The results of any individual study depend, of course, on thestudy population. Our study group included a cluster of childrenwith high IQ scores and low lead concentrations, but these subjectswere not unduly influential in the statistical models. Regardless,our findings should be replicated in other cohorts and withthe use of other cognitive assessments.
The definition of an elevated blood lead concentration has beenincrementally but consistently lowered over the past two decades.Our findings suggest that children with blood lead concentrationsbelow 10 µg per deciliter merit more intensive investigation.These and other data suggest that there may be no thresholdfor the adverse consequences of lead exposure6,7,33 and thatlead-associated impairments may be both persistent and irreversible.39,40,41,42Furthermore, although typically investigated because of itsneurotoxic properties, an elevated lead concentration is alsoa risk factor for other public health problems, including delinquency,cardiovascular disease, renal disease, and dental caries.43,44,45,46,47
Our findings suggest that considerably more U.S. children areadversely affected by environmental exposure to lead than previouslyestimated. Because there is no effective treatment for childrenwith moderately elevated blood lead concentrations,40 the collectiveevidence argues for a shift toward primary prevention of leadexposure in contrast to the current, almost exclusive emphasison the treatment of children with elevated blood lead concentrations.48,49,50
Supported by a grant (R01 ES08388) from the National Instituteof Environmental Health Sciences (NIEHS) and in part by grantsfrom the NIEHS Environmental Health Sciences Center at the Universityof Rochester (ES01247), the Cornell University BronfenbrennerLife Course Institute in the College of Human Ecology, the StrongMemorial Hospital Children's Research Center, and a joint researchand extension program funded by the Cornell University AgriculturalExperiment Station and Cornell Cooperative Extension.
Any opinions, findings, conclusions, or recommendations expressedin this publication are those of the authors and do not necessarilyreflect the view of the Department of Agriculture.
Presented in part at the Pediatric Academic Societies AnnualMeeting, Baltimore, April 28May 1, 2001; at the 109thConvention of the American Psychological Association, San Francisco,August 2428, 2001; and at the 21st Annual Meeting ofthe Behavioral Toxicology Society, Research Triangle Park, N.C.,April 2022, 2002.
We are indebted to Elliott G. Smith for assisting with the managementand analysis of portions of these data and for valuable feedbackon previous versions of the manuscript and to Keith Alexander,Kristine DiBitetto, and Karen Knauf for data collection andcohort management.
Editor's note: Dr. Lanphear has served as an expert witnessfor the State of Rhode Island and the City of Milwaukee in lead-relatedcases, for which Children's Hospital (Cincinnati) is compensated.
Source Information
From the Division of Nutritional Sciences (R.L.C.) and the Department of Human Development (C.R.H.), College of Human Ecology, Cornell University, Ithaca, N.Y.; the Departments of Environmental Medicine (D.A.C.-S.) and Biostatistics and Computational Biology (C.C.), University of Rochester School of Medicine, Rochester, N.Y.; the Division of Epidemiology, Statistics, and Prevention, National Institute of Child Health and Human Development, National Institutes of Health, Department of Health and Human Services, Bethesda, Md. (C.C.); the Department of Epidemiology, School of Public Health and Community Medicine, University of Washington, Seattle (T.A.J.); and Cincinnati Children's Environmental Health Center, Children's Hospital Medical Center, Cincinnati (B.P.L.).
Address reprint requests to Dr. Canfield at the Division of Nutritional Sciences, College of Human Ecology, Cornell University, Ithaca, NY 14853, or at rlc5{at}cornell.edu.
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Rabin, R.
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(2008). Immigration and Risk of Childhood Lead Poisoning: Findings From a Case-Control Study of New York City Children. AJPH
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Lewis, M. W., Pitts, D. K.
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Dietrich, K. N., Ware, J. H., Salganik, M., Radcliffe, J., Rogan, W. J., Rhoads, G. G., Fay, M. E., Davoli, C. T., Denckla, M. B., Bornschein, R. L., Schwarz, D., Dockery, D. W., Adubato, S., Jones, R. L., for the Treatment of Lead-Exposed Children Clinica,
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Geltman, P. L., Meyers, A. F., Mehta, S. D., Brugnara, C., Villon, I., Wu, Y. A., Bauchner, H.
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(2004). Lead poisoning from "lead-free" paint. CMAJ
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Grigg, J
(2004). Environmental toxins; their impact on children's health. Arch. Dis. Child.
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Cheong, J. H., Bannon, D., Olivi, L., Kim, Y., Bressler, J.
(2004). Different Mechanisms Mediate Uptake of Lead in a Rat Astroglial Cell Line. Toxicol Sci
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Needleman, H. L., Landrigan, P. J.
(2004). WHAT LEVEL OF LEAD IN BLOOD IS TOXIC FOR A CHILD?. AJPH
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Brown, M. J., Meehan, P. J.
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Markowitz, M. E., Sinnett, M., Rosen, J. F.
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(2003). Even Very Low Blood Lead Levels May Affect Intelligence. JWatch Neurology
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(2003). Even Low Blood Lead Levels Can Have Bad Consequences. JWatch Psychiatry
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