Environmental
Predictors for High Blood Lead Levels Among Women
of Childbearing Age in Mosul City
..........................................................................................................................
Amjad Hazim Al-Naemi
* MBChB; Msc, Aliaa Rajih Al-Khateeb *
MBChB; Msc
Basma Yousif Fattohi ** MBChB; Msc, Muna Muneer
Ahmed *** MBChB; Msc
Asmaa Ahmad Al-Jawadi **** MBChB; DPH; PhD****
* Assistant lecturer, Dept.
of Biochemistry, College of Medicine, University
of Mosul, Mosul, Iraq.
** Assistant lecturer, Dept. of Community Medicine,
College of Medicine, University of Mosul, Mosul,
Iraq.
*** Lecturer, Dept. of Community Medicine, College
of Medicine, University of Mosul, Mosul, Iraq.
Prof. and Head of Dept. of Community Medicine,
College of Medicine, University of Mosul, Mosul,
Iraq.
Address correspondence to:
Amjad Hazim Al- Naemi, MBChB; MSc
Assistant Lecturer, Dept of Biochemistry
College of Medicine
University of Mosul
Mosul, Iraq
E- Mail amjadhazim@yahoo.com
..........................................................................................................................
|
ABSTRACT
Low
dose exposure to lead is a well-known risk
factor for spontaneous abortion in pregnancy
and neurological fetal damage may be encountered
at blood lead levels (BLL) as low as 5-
10 µg/dl. This fact highlights the
importance of prenatal testing for potential
lead exposure and of identifying factors
related to such a high-risk exposure in
women during childbearing age. Mosul City
in Northern Iraq suffers many environmental
health problems among which is the environmental
lead pollution from different sources. This
study evaluated the problem of lead exposure
among (306) non-pregnant women of childbearing
age in the city and investigated the possible
association with certain socio- demographic
and household characteristics. They were
chosen by systematic sampling randomization
throughout July 2006.
Blood lead levels
were measured using Lead Care Testing System
and Lead Care Blood Lead Test kits (ESA,
Inc., USA) utilizing a (50 µl) whole
blood specimen for each case. The cut-off
point used to categorize women into those
with normal and those with high BLL(s) was
10 µg/dl. The overall mean BLL value
was (5.26± 3.33 µg/dl). Those
with BLL= 10 µg/dl represented 8.5%
of the total study sample.
The study revealed
no significant association between high
BLL(s) and socio-demographic characteristics
such as maternal age, occupation, smoking
exposure, or husband's occupation, however
a significant association existed with frequent
application of - the eye cosmetic- kohl
(p= 0.05). More than 70% of women with high
BLL(s) were frequent users of this material.
They were two times more prone to develop
BLL = 10 µg/dl (OR= 2.46, p= 0.05,
95% CI= 1.02- 5.96).
Meanwhile, the comparison
of household characteristics of women studied
by BLL revealed a highly significant association
between increasing BLL and potential housing
characteristics including age of household,
its location and presence of peeling and
chipping paint. Stepwise logistic regression
model for the predictors of high BLL showed
that elevated BLL(s) were associated with
location of household (p= 0.002, Exp(B)=
6.820), age of household (p= 0.004, Exp(B)=
6.791), and presence of peeling and chipping
paint (p= 0.006, Exp(B)= 6.253).
In conclusion, lead
exposure is still an important public health
problem in Mosul City and the major predictors
for high BLL(s) include the location of
the household in relation to traffic density
and home characteristics namely age of home
and/or presence of chipping paint.
|
Key
words: Blood lead level, childbearing age,
environmental predictors.
..........................................................................................................................
Lead is an ancient metal. Because
of its malleability and low melting point, humans
have used lead since prehistoric times to make
statues, jewellery, water pipes and drinking vessels.
The quantity of lead used since 1940 surpasses
the total used in all previous centuries. This
heavy recent use reflects industrial applications
as well as the use of lead as a fuel additive.
In the mid-1970s, nearly 200,000 tons of lead
were consumed annually in gasoline in USA (1).
Virtually all of this lead was emitted into the
environment from vehicles in a fine particulate
form and caused widespread contamination of air,
dust, soil, drinking water and food crops (2).
Although USA and the European
Union have banned lead as an additive to consumer
fuel for road-going vehicles, in some instances
leaded petrol is still permitted for off-road
uses such as in farming equipment, marine engines
and airplanes. Lead continues to be used in petrol
in many countries because it is a relatively inexpensive
method for boosting octane. As of 2004, leaded
petrol was still being sold in Indonesia, the
Middle East, the former Soviet-Republic, Cuba,
parts of South America, and nearly all of Africa
(3).
Thus, due to excessive use
of lead in industry and automobile fuel, human
beings have been, and are constantly being, exposed
to it. This exposure adversely affects the functions
of several organ systems including cardiovascular,
renal, nervous, hemopoietic, endocrine and skeletal
systems (4, 5).
In women, lead at high doses can be toxic to reproductive
functions. Clinical reports, most of them from
the first half of the 20th century, describe an
increased incidence in spontaneous abortion among
female lead workers as well as in the wives of
male lead workers. Low level maternal lead exposure
may increase the risk of spontaneous abortion
(6). Since the placenta does not offer any restrictive
barrier to the transfer of lead from maternal
blood to the fetal blood, the developing fetus
may be exposed to the adverse effects of lead
(7). The difficult problem in the reproductive
toxicity of lead is the finding that lead may
cause neurological damage to the fetus at blood
levels as low as 5- 10 µg/dl (8). This problem
is further compounded by the fact that under the
metabolic stress of pregnancy, lead may be mobilized
from bony stores of the mother to enter her blood
and thus the fetal circulation (9).
In Iraq there were several
studies performed about BLL which covered different
community groups with high risk of exposure, such
as traffic police men, car services station workers,
battery repairers, petroleum station workers,
electrical generator workers, and printing industry
workers (10- 12). However, no study was conducted
to cover population with assumed low exposure,
particularly females of childbearing age. Thus,
the purpose of this work was to evaluate the BLL
among a sample of married non-pregnant females
of childbearing age in Mosul city, and to investigate
the possible association of certain risk factors.
Prior to data collection final
approval was obtained from Ninevah Health Office
to conduct the study. Al- Hadbaa primary health
care training center was the focal point of this
study. It is situated on the right side of Mosul
city, near Mosul Medical College. It was established
in September 1989 and nominated as a training
center by WHO in 1997. It serves a wide catchment
area of 60,390 population of various socio- economic
and educational strata.
The unit of the present study
was a healthy non-pregnant mother (age 15-49 years)
who came to the center for vaccination of any
of her children, and who had lived in Mosul city
for more than three years. The chosen mothers
were included by systematic sampling randomization
in which every third mother was taken. This process
yielded 306 non- pregnant mothers at childbearing
age, all of whom were assessed during a one month
period (July 2006). All women were asked to participate
in the study and none of them refused. They were
interviewed by one of the investigators who was
well-trained about the method of interview. This
was carried out via especially designed questionnaire
form containing information about socio-demographic
characteristics and some risk factors of lead
exposure (e.g. traffic density at their residence,
occupation, education, occupation of the husband,
smoking exposure (passive-active), age of the
building they live, and use of kohl).
Blood lead level was measured
using Lead Care Blood Testing System and Lead
Care Blood Lead Test Kits purchased from (ESA,
Inc., USA). This system relies on electrochemistry
and a sensor to detect lead in the whole blood
where the kit is specific for quantitative measurement
of lead in fresh whole blood specimens only. A
sufficient whole blood sample was obtained from
a skin-puncture using a finger stick. The lateral
side of the middle finger was used. The puncture
side was properly wiped clean with alcohol wipes
already supplied with the system. A special heparinized
capillary tube that allows collecting exactly
(50 µl) of whole blood was used. The accuracy
and precision of the test depended on accurately
measuring a 50 µl blood sample. For each
test, the exact 50 µl whole blood sample
was dispensed from the capillary tube into the
treatment reagent tube using special plungers.
Mixtures in the treatment in reagent tubes were
kept refrigerated until analyzed for BLL in weekly
batches. Analyses were made at the Environmental
Health Unit in Mosul Medical College.
The performance of the Lead Care System was checked
on each batch run using appropriate quality control
materials, i.e. both high and low known readings
lead standards by Lead Care as well. Results obtained
on control samples were within the expected range.
Data were analyzed with a statistical package
for social sciences (SPSS) software for windows.
Chi-square test, odds ratio, and 95 % confidence
limit interval were used to find the presence
or absence of statistical association between
certain proposed risk factors and high BLL. Stepwise
logistic regression analysis was also used aiming
to identify risk factors (independent variables)
that may predict development of high BLL (dependent
variables) among the study sample. Student t-
test was performed to indicate the presence of
a significant difference between the mean values
of the two subsets of study population (BLL =
10 µg/dl and < = 10 µg/dl) (13).
Table (1)
depicts the socio-demographic characteristics
of study population by BLL in µg/dl. Out
of 306 women in the childbearing age examined
24 (8.5%) had BLL of = 10 µg/dl. Overall
the mean BLL (± SD) was 5.26± 3.33
µg/dl with a range of (1.5- 32.5) µg/dl.
The mean BLL for the high-risk
group (i.e. those had BLL = 10µg/dl) was
14.90± 4.72 µg/dl while that of the
low risk group (i.e. those who had BLL < 10µg/dl)
was (4.44± 1.27) µg/dl with a highly
significant difference (p= 0.000).
Although the high-risk women
seemed to be younger than the low-risk group,
however, no significant difference is reported
between the mean ages of the two groups. No significant
association is found between any of the variables
shown in the table and BLL, except frequent use
of kohl.
Almost two thirds of women
(70.8%) who had BLL = 10µg/dl reported frequent
use of this cosmetic material. Those women were
2 times more prone to develop BLL =10µg/dl
(OR= 2.46, p= 0.05, 95% CI= 1.02- 5.96).
Table (2)
compares distribution of potential risk housing
characteristics between study women: those with
BLL = 10µg/dl and those with BLL < 10µg/dl.
A highly significant association is found between
all housing characteristics that carried potential
risk and BLL with a (p-value) varied from (0.028-
0.000). Old buildings showed an operational risk
for the development of BLL = 10µg/dl (OR=
13.56, p= 0.000, 95% CI= 5.05- 36.4) which is
the highest risk. Peeling and chipping of paint
carried a highly significant risk (OR= 9.59, p
=0.000, 95% CI= 3.40- 27.03) too.
Location of the household near to an electricity
generator increased the risk in a highly significant
way (OR= 5.19, p= 0.004, 95% CI= 1.71- 15.75).
To a lesser extent but still significant was the
location near a fuel station (OR= 6.46, p=0.028,
95% CI=1.77- 23.59) and near a major road (OR=
5.33, p= 0.006, 95% CI= 1.63- 17.46). Having more
than one of the above-mentioned characteristics
related to the household location also carried
a highly significant risk (OR= 5.60, p= 0.002,
95% CI= 1.86- 16.90).
Table (3) presents a stepwise
logistic regression model for the predictors of
high BLL among the study sample. Elevated BLL
was associated with location of the household
(p= 0.002, Exp (B) = 6.820), age of the household
(p= 0.004; Exp (B) = 6.791), and presence of peeling
and chipping paint (p= 0.006, Exp (B) = 6.253).
The characteristics of the women with the highest
BLL, two women were identified; one with a BLL
of 32.5 µg/dl, who was almost 48 years old,
while the other was 35 years old with a BLL of
29.2 µg/dl. The only risk factors consistently
identified for the two women were living in an
old house (> 20 years of age) and having heavy
chipping and peeling paints. One of the households
was near a big electricity generator and the other
was near a main road.
Mosul is a densely populated
city. It is the second largest city in Iraq situated
400 km north of Baghdad, the capital. Mosul as
with other cities in Iraq, is facing several environmental
health problems with an increased burden from
environmental lead pollution. This pollution may
come from various sources such as old cars, electricity
generators, which are widely distributed in the
city, and the presence of a large number of old
houses. This can be translated into increased
BLL in the general population (14).
Poor pregnancy outcomes like
intrauterine growth retardation, prematurity and
high maternal mortality, are common in this part
of the world (15). It is worth noting that female
in the childbearing age form about (20%) of the
population in Mosul city. So it is important to
determine the BLL among this sector, where the
prevention of adverse effects of high BLL, namely
fetal lead encephalopathy, requires that BLL(s)
of prospective mothers be kept below 10µg/dl
not only during pregnancy but also in the years
preceeding conception (16).
The sample of the present study
was selected from non-pregnant mothers (age 15-49
years) who attended Al- Hadbaa primary health
care training center for vaccination of any of
her children. This center has a wide catchment
area mostly of moderate and low socio-economic
status. These women are more likely to have high
BLL because of increased environmental and occupational
lead exposure, where almost 40% are living in
old houses with peeling and chipping paint (46.2%),
while just more than 40% of the husbands are employed
in lead trades.
The present study revealed
that the point prevalence of BLL = 10µg/dl
was (8.5%) among the examined women. Blood lead
level in Iraq is not routinely measured in any
health facility, therefore; there are limited
data about the prevalence of high BLL either in
the general population or in the disadvantaged
groups like women in childbearing age and children
under five years of age. A number of studies with
almost a small sample size have reported occupational
exposure in the country (10- 12).
The mean BLL reported in this
study was 5.26± 3.33 µg/dl with a
range of (1.5- 32.5 µg/dl), which is very
much lower than that reported in the Al-Nori study
carried out in 2002 (27.54± 5.87 µg/dl)
(10). The mean BLL reported by the Al-Nori study
was for 100 healthy male subjects with minimal
or no risk of exposure to a polluted atmosphere.
This discrepancy could be explained by three hypotheses:
(1) BLL is a reflection of the lead that gets
accumulated in the bone after about 30 days (17-18).
(2) The sample of the current study covered females
of childbearing age while the sample of Al-Nori
(14) study includes males. In our community females
have lower environmental exposure since they have
lower mobility outside the home. (3) Al- Nori
(14) in his work used atomic absorption spectrophotometry
which is probably more sensitive than the method
used in the present study. Hence, a further study
is recommended to compare the validity of Lead
Care Blood Testing System versus atomic absorption
spectrophotometry particularly when they are used
in survey studies.
A screening for BLL(s) was carried out in Basrah
which is also a large city with high population
density situated about 500 km south of Baghdad.
A higher mean BLL was reported by this study (11.26±
3.46) µg/dl, which covered all age groups
of both genders and it was (10.10± 2.96)
µg/dl for females. This difference is probably
due to a different sample size (n= 602 individuals)
which were randomly selected from people attending
17 PHCC(s) with a wide age range (9- 79 years)
(17).
Some sporadic studies in Pakistan have indicated
that the BLL(s) in the general population were
much above safety levels (i.e. 10 µg/dl)
recommended by the center for Disease Control
and Prevention (CDC). Mean BLL(s) were reported
to be 18.8 µg/dl in children in Rawalpindi
(18) and 34.4, 31.8, 29.9 and 38.2 µg/dl
in males, females, soldiers, and children respectively
from Karachi (19).
Much lower figures were reported
in the USA findings of the National Health and
Nutrition Examination Surveys (NHANES). This survey
indicated that BLL(s) continued to decrease in
all age groups and racial/ethnic populations.
During 1999-2002, the overall prevalence of elevated
BLL(s) was 0.7% and it was 0.3% for females aged
20-59 years of all racial/ethnic groups, however,
it is higher among the black, non- Hispanic (0.5%),
a decrease of 68% from 2.2 in the 1991-1994 survey.
This survey also showed that the geometric mean
BLL(s) declined significantly (p= 0.05) from the
1991-1994 survey period in all populations and
subpopulations. Among females aged 20-59 it was
1.7 µg/dl in the survey of 1991-1995 to
be 1.2 µg/dl in that of 1999-2002, a higher
figure was reported among the black non-Hispanics
(1.4 µg/dl) (20).
The findings in this report
indicate that BLL (s) continue to decline in the
USA and may be in all of the similar highly developed
countries. This decline in BLL(s) has resulted
from coordinated intensive efforts at the national,
state and local levels beginning with efforts
to remove lead from gasoline, food cans and residential
paint products (20).
Although there is much concern
about risk factors of high BLL(s) in Mosul, there
is no study conducted to determine the presence
or absence of association of certain well documented
factors and high BLL in the general population
and certain disadvantaged groups namely women
in the childbearing age and children under five
years of age.
Unlike many environmental health
problems, lead contamination is often found at
home, in paint, house dust, drinking water and
soil. Worldwide, six categories of products account
for most cases of lead exposure: gasoline additives,
food can soldering, lead-based paints, ceramic
glazes, drinking water systems and folk remedies
(21).
The results of this study showed
that maternal age and job, husband job, and smoking
carried no risk association for high BLL(s). On
the other hand frequent use of kohl as a cosmetic
on eyes carried a significant risk (OR= 2.46,
p= 0.05). Unfortunately the stepwise logistic
regression model used in this study did not reinforce
this risk significance. Kohl or surma is a topical
agent applied around the eyes and is used in Asian
and Arabic countries; they are available as a
fine powder or heavy crystals of lead sulfide
(21). An analytical study found that the concentration
of lead of different types of this substance available
in Pakistan ranged from 0.03% to 81.37 % (22).
Given that more than half (58.2%) of the mothers
in the present study were exposed to this hazardous
substance, it is believed that educating mothers
about the potential hazards of kohl could discourage
application to their eyes.
There is a wide agreement on the importance of
old buildings and presence of peeling and chipping
paint as a risk factor for high BLL. This is clearly
shown in the present study, where women living
in old houses with chipping paint are at a great
risk for the development of high BLL (p= 0.000)
in both instances. Romien in Mexico City mentioned
that lead-based paint and pigments that contain
lead chromate are frequently used in this city.
The proportion of lead can reach 50% for exterior
lead-based paint. Although this product is not
water soluble, it is soluble in acid liquids,
and therefore lead may be released into the environment
(dust and water) (23). Also, the dissociation
of lead chromates by gastric acid can be responsible
for the bioavailability of the lead contained
in the ingested dust or soil contaminated by leaded
paint (24). Workers and home-owners involved in
the rehabilitation of old buildings are at risk
of lead poisoning and for bringing lead-containing
dust home to their families (21).
In the present study the risk significance of
these two household characteristics is further
strengthened by using stepwise logistic regression
model of analysis with a significance value of
0.004 and 0.006 for age of the household and presence
of peeling and chipping paint, respectively. The
present work showed that location of the household
near a major road, electricity generators, fuel
station either alone or a combination of two or
all of these characteristics carried a significant
risk showed by OR and p-value. This association
is furthermore approved by the stepwise logistic
regression model with a (p value) of 0.002.
In Iraq, the number of automobiles
increases yearly where the majority of these cars
are second hand. Thus the increasing number of
cars and rising gasoline consumption resulted
in a wide dissemination of lead in the environment,
in addition to the large number of electrical
generators that are haphazardly distributed all
over the city. Besides gasoline and diesel fuel
used by cars, electricity generators and buses
is imported from different sources and most probably
they are leaded ones.
No data are available estimating the amount of
gasoline and diesel fuel consumed every day in
Mosul city and the annual amount of deposited
lead in the environment from combustion of leaded
gasoline and other sources of airborne lead in
Mosul city which are battery repair shops, local
paint factories and lead smelters. Inhalation
or ingestion of dust and soil contaminated with
lead can play an important role in the total lead
body burden in children (23). Similar conclusion
may be applied on females in childbearing age.
Methodological Issues
There are certain limitations to this study that
merit discussion. This study is a cross sectional
design. Habits and exposure may differ by season
and socio-economic status especially among females
of childbearing age affecting BLL(s). The study
sample size did not provide enough statistical
power to identify factors associated with elevated
BLL(s), which is the result of our limited funds
and due to the difficult security situations.
Also the present study did not probe deeply the
habits and customs related to lead exposure.
The BLL(s) observed in the
population of the present study indicate that
lead exposure is an important public health problem
in Mosul city. The major predictors of high BLL
were the location of the household in relation
to traffic density and home exposure i.e. age
of the household and presence of chipping paint.
Preventive strategies must
be conducted to provide a lead-free environment
in the city. These strategies should be based
mainly on either decreasing the percentage of
lead content in leaded gasoline or completely
prohibiting its use since it is the primary source
of lead pollution in the environment. The population
of Mosul is largely unaware of the hazards and
health consequences of lead exposure, and they
therefore lack prevention strategies. Prenatal
screening for lead exposure may include a five-item
questionnaire and management focused on removal
of the lead source. Further research is badly
needed to evaluate the BLL(s) among other disadvantaged
groups i.e. children under five, and its contributory
factors.
|
Table
(1). Socio-
demographic characteristics of study population
by BLL.
|
|
Characteristics
|
BLL
( µg/dl)
|
OR
|
p-
value
|
95%
CI for OR
|
|
≥
10
(n=
24)
|
<
10
(n=
282)
|
|
Age
(Years)
|
|
|
≤
19
|
5(20.8)
|
60(21.3)
|
0.97
|
N.S
|
0.33-
2.88
|
|
20-
39
|
18(75.0)
|
188(66.7)
|
1.50
|
N.S
|
0.58-
3.88
|
|
40-
49
|
1(4.2)
|
34(12.1)
|
0.32
|
N.S
|
0.05-
2.17
|
|
Mean±
SD
|
24.13±
5.97
|
26.40±
8.34
|
|
|
|
|
Maternal
Job
|
|
|
|
|
|
|
Housewife
|
21(87.5)
|
254(90.1)
|
0.77
|
N.S
|
0.21-
2.76
|
|
Worker
|
3(12.5)
|
28(9.9)
|
|
Husband
Job
|
|
|
|
|
|
|
Civil
servant and or gainer
|
7(29.2)
|
106(37.6)
|
|
|
|
|
Manual
worker
|
5(20.8)
|
64(22.7)
|
1.18
|
N.S
|
0.37-
3.80
|
|
Driver
|
5(20.8)
|
50(17.7)
|
1.51
|
N.S
|
0.46-
4.92
|
|
Others
|
7(29.2)
|
62(22.0)
|
1.71
|
N.S
|
0.58-
5.06
|
|
Smoking
Exposure
|
|
|
Yes
|
11(45.8)
|
101(42.8)
|
1.13
|
N.S
|
0.49-
2.61
|
|
No
|
13(54.2)
|
135(57.2)
|
|
Frequent
use of kohl
|
|
|
Yes
|
17(70.8)
|
140(49.6)
|
2.46
|
0.05
|
1.02-
5.96
|
|
No
|
7(29.2)
|
142(50.4)
|
|
Mean
BLL
|
14.90±
4.72
|
4.44±
1.27
|
|
0.000
|
|
|
Table
(2). Housing characteristics
of study population by BLL.
|
|
Characteristics
|
BLL
( µg/dl)
|
OR
|
p-
Value
|
95% CI for OR
|
|
≥ 10
(n= 24)
|
<
10
(n= 282)
|
|
History
of House Building
|
|
|
Before 1978
|
21(87.5)
|
96(34.0)
|
13.56
|
0.000
|
5.05- 36.41
|
|
After 1978
|
3(12.5)
|
186(66.0)
|
|
Peeling
& Chipping Paint
|
|
|
Yes
|
21(87.5)
|
119(42.4)
|
9.59
|
0.000
|
3.40- 27.03
|
|
No
|
3(12.5)
|
163(57.8)
|
|
Location
|
|
|
Near
Major Road Only
|
Yes
|
4(36.4)
|
21(9.67)
|
5.33
|
0.006
|
1.63- 17.46
|
|
None of the risk factors
|
7(63.6)
|
196(90.33)
|
|
Near
Electricity Generator Only
|
Yes
|
5(41.7)
|
27(12.11)
|
5.19
|
0.004
|
1.71-15.75
|
|
None of the risk factors
|
7(58.3)
|
196(87.89)
|
|
Near
Fuel Station Only
|
Yes
|
3(30.0)
|
13(6.22)
|
6.46
|
0.028
|
1.77- 23.59
|
|
None of the risk factors
|
7(70.0)
|
196(93.78)
|
|
More
than one factor related to location
|
Yes
|
5(41.7)
|
25(11.31)
|
5.60
|
0.002
|
1.86- 16.90
|
|
None of the risk factors
|
7(58.3)
|
196(88.69)
|
|
Overall
risk
|
|
|
Yes
|
17(70.8)
|
86(30.5)
|
5.53
|
0.000
|
2.40- 12.75
|
|
No
|
7(29.2)
|
196(69.5)
|
|
Table
(3). Stepwise
logistic regression model for the development
of high BLL among study sample.
|
|
Parameter
|
B
|
SE(B)
|
Significance
|
Exp(B)
|
95%
CI for Exp (B)
|
|
Location
of Household
|
1.918
|
0.593
|
0.002
|
6.820
|
1.084-
25.577
|
|
Age
of Household
|
1.916
|
0.658
|
0.004
|
6.791
|
1.869-
24.680
|
|
Peeling
& Chipping Paint
|
1.633
|
0.668
|
0.006
|
6.253
|
1.689-
23.150
|
|
Constant
|
0.447
|
1.239
|
0.718
|
0.640
|
|
back
to text
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