the voices of yesterday’s children: lead poisoning’s lifetime legacy kim n. dietrich division of...
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The Voices of Yesterday’s Children: Lead Poisoning’s
Lifetime Legacy
Kim N. DietrichDivision of Epidemiology and Biostatistics
Department of Environmental Health
Brain and the Environment• Enormous increase in the number of children
diagnosed with Autism Spectrum Disorder
• Enormous increase in the diagnosis of attention deficit hyperactivity disorder and its treatment with stimulants in the last two decades
• Speculation abounds regarding the role of environmental chemical exposures in these and other clinical trends.
The Cincinnati Lead Study• Prospective, longitudinal study examined the
early and late effects of childhood lead exposure on growth and development with a particular emphasis on central nervous system outcomes.
• Data collected on exposure (blood lead concentrations), neurobehavior, child health, environment, and sociodemographic variables on a quarterly to yearly basis since its inception.
Dietrich, et al. Neurotoxicol Teratol, 1991
Blood Lead Concentrations Birth to Four Years in the Cincinnati Lead Study
CDC “Action Level” 1991
CDC “Action Level” 1985
CDC “Action Level” 1979
Blood Lead Concentrations in the Cincinnati Lead Study
Dietrich, et al., Pediatrics, 1993Dietrich, et al. Pediatrics, 1993.
CDC “Action Level” 1991
CDC “Action Level” 1985
Concurrent Blood Lead (μg/dL)
IQ
85
90
95
100
105
0 5 10 15 20 25 30 35 40 45 50
Log-linear
Restricted Cubic Spline
N = 1,333
Pooled Analysis of International Prospective StudiesLanphear, et al., 2005
Lead-Associated Reading Deficits
in U.S. Children: NHANES-III
75
80
85
90
95
100
105
<2.5 2.5 5 7.5 10
Blood Lead Levels ug/dL
Rea
din
g S
core
N = 4,853
Lanphear, Dietrich, Auinger, & Cox., 2000
0
1
2
3
4
5
<0.79 0.8 to 1.09 1.1 to 1.49 1.5 to 1.9 >2.0
Ad
just
ed
Odd
s R
atio
Quintiles of Blood Lead Concentration (ug/dL)
Risk of ADHD by Blood Lead Levels in US Children, NHANES 1999-2002
N = 4,704Braun, et al. 2006
A Lead-Exposed Cohort’s Search for Answers
• Why can’t I hold onto a job?• Why can’t I get along with my girl
friend/wife?• Why am I angry all of the time?• Why can’t I concentrate?• Why can’t my son/daughter stay out of
trouble?
Blood Lead Concentration Profile of a CLS Male Subject with a History of Domestic Violence and Delinquent/Criminal
Behavior
Age in Months
Blo
od
Lea
d C
on
cen
trat
ion
(u
g/d
L)
Blood Lead Concentration Profile of a CLS Male Subject with a History of Adult Criminal Behavior and Repeated
Incarcerations
Age in Months
Blo
od
Lea
d C
on
cen
trat
ion
(u
g/d
L)
Environmental Factors in Criminal Disposition
• Parental dysfunction• Community violence• Poverty• Media• Lead• Nutrition• Alcohol• Illicit Drugs
Association of Blood Lead Levels and Self-Reported Delinquency in 16 Year-Old Adolescents in the Cincinnati Lead Study
0
1
2
3
4
5
6
7
8
9
Lowest Low Medium High
Blood Lead Level
To
tal S
core
Prenatal PbB
Average Childhood PbB
78 Month PbB
Dietrich, et al. Neurotoxicol Teratol. 2001
Average Number of Criminal Arrests in the Cincinnati Lead Study Cohort (M Age = 22 years) by
Average Blood Lead Concentration and Gender (Unadjusted)
0
1
2
3
4
5
6
7
8
Lowest Low Medium High
Females
Males
Ave
rag
e N
um
ber
of
Arr
ests
Blood Lead Level ug/dL
N = 250
Wright, Dietrich, Ris et al. 2008
Covariates in Analyses of Adult Criminality Data
• Home Environment (HOME score)• Birth Weight• Gender• Maternal Smoking During Pregnancy• Maternal Drug/ETOH Use During Pregnancy• Maternal Education• Maternal IQ• Total Prior Maternal Arrests• Socioeconomic Status• Household Size• Public Assistance
Average Childhood Blood Lead Concentration and Arrest Rate Ratio for Violent Offenses*
0
1
2
3
4
5
6
7
6 10 14 18 22 26 30
Average Childhood Blood Lead (ug/dL)
Arr
es
t R
ate
Ra
tio
fo
r V
iole
nt
Cri
me
s
*Any 5 ug/dL elevation in blood lead increased the rate of arrests for violent offenses by 30 percent.
Wright, Dietrich, Ris et al. 2008
Six-year Blood Lead Concentration and Arrest Rate Ratio for Violent Offenses*
*Any 5 ug/dL elevation in blood lead increased the rate of arrests for violentoffenses by 48 percent.
0
1
2
3
4
5
6
7
3 6 9 12 15 18
Six Year Blood Lead (ug/dL)
Arr
est
Rat
e R
atio
fo
r V
iole
nt
Cri
mes Wright, Dietrich, Ris et al. 2008
Imaging Studies of the Cincinnati Lead Study Cohort: Volumetric
and Functional Magnetic Resonance Imaging (MRI)
Cincinnati Volumetric MRI Lead Study(Cecil, et al. 2008)
• MRI scans were conducted on a subset of 157 young adult subjects from the Cincinnati Lead study during 2002-04 using whole brain, three dimensional, high resolution 1.5 Tesla magnetic resonance imaging (MRI)
• Associations between childhood blood lead levels and brain volume were investigated by multiple regression analysis on a voxel by voxel basis
• Maps of the strength of the adjusted lead-volume association were converted to color renderings and overlaid on a standard brain model
Composite rendering
Renderings are maps of statistical association
Composite rendering
Voxel based morphometric approach involves normalizing individual structural scans to a standardtemplate to allow voxel-by-voxel comparisons between subjects and regression analyses of associations with blood lead measures.
Relationship of individual brain volume with mean four year childhood blood lead concentration within a medial frontal cluster. Cluster threshold is of 700 contiguous voxels andP < 0.001.
Age 2 Blood Pb
Map of strength of association between yearly blood lead level and population-wide loss of gray matter volume. Single-voxel minimum significance threshold is p < 0.001 (uncorrected), found within a cluster of at least 700 voxels
less significant
more significant
Single voxelsignificance
Composite rendering
Age 3 Blood Pb
Map of strength of association between yearly blood lead level and population-wide loss of gray matter volume. Single-voxel minimum significance threshold is p < 0.001 (uncorrected), found within a cluster of at least 700 voxels
less significant
more significant
Single voxelsignificance
Composite rendering
Age 4 Blood Pb
less significant
more significant
Map of strength of association between yearly blood lead level and population-wide loss of gray matter volume. Single-voxel minimum significance threshold is p < 0.001 (uncorrected), found within a cluster of at least 700 voxels
Single voxelsignificance
Composite rendering
Age 5 Blood Pb
Map of strength of association between yearly blood lead level and population-wide loss of gray matter volume. Single-voxel minimum significance threshold is p < 0.001 (uncorrected), found within a cluster of at least 700 voxels
less significant
more significant
Single voxelsignificance
Composite rendering
Age 6 Blood Pb
Map of strength of association between yearly blood lead level and population-wide loss of gray matter volume. Single-voxel minimum significance threshold is p < 0.001 (uncorrected), found within a cluster of at least 700 voxels
less significant
more significant
Single voxelsignificance
Composite rendering
Collaborators• Kim M. Cecil (CCHMC)• M. Douglas Ris (CCHMC)• Richard Hornung (CCHMC, UC DEH)• Bruce P. Lanphear (CCHMC, UC DEH)• John P. Wright (UC Criminal Justice)• Mona Ho (CCHMC)• Stephanie Wessel (UC DEH)• Caleb Adler (UC Psychiatry)• Kelly Jarvis (UC Psychiatry)• Mekibib Altaye (CCHMC)• John C. Egelhoff (UC Radiology)• Ilayaraja Elangovan (UC Radiology)• Christopher Brubaker (UCCM MD/PhD Program)• Mary N. Rae (UC DEH)
Subjects and Families of the Cincinnati Lead Study
TLC Goal
TLC was designed to test the hypothesis that children with moderate blood lead levels who were given succimer would have better scores than children given placebo on measures of central nervous system function.
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0.0
0.2
(a)
Nor
mal
ized
effe
ct o
f su
ccim
er
Full-S
cale
IQ
Attent
ion/
Execu
tive
Functi
ons
Readi
ng
Adapt
ive S
kills
(Tea
cher
)
Extern
alizi
ng P
robl
ems (
Teac
her)
Schoo
l Pro
blem
s (Te
ache
r)
Extern
alizi
ng P
robl
ems (
Paren
t)
-0.2
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(b)
Nor
mal
ized
effe
ct o
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er
List
A Mem
ory
List
A Lea
rnin
g Slo
pe
d Prim
e
Hit Rea
ction
Tim
e
Seque
ntia
l Mov
emen
ts Ti
me
Normalized Effect of Succimer at 7 Years
Dietrich, Ware, Salganik, et al., Pediatrics, 2004