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FINAL REPORT Epidemiology, 220-3W-05
Medical Department 3M Company
St. Paul, MN 55144
Date: October 11,2001"
TPietrlfel:uoAroLoocntgaintouadtien(alPFAOnaAl)ysLiesveolfs SinerRuelmatPieornfltuoorLoiopcitdaanensduHlefpoanattiec (CPliFnOiSca)laCnhdemistry
Test Results from Male Employee Participants of the Fluorochemical Medical Surveillance Program
1994/95,
1997
and 2000
Study Start Date: July 1, 2001
IPrRoBtoAcpoplrNovuamlber (not applicable)
:
Exempt Expedited
x
IRB Approval program)
Date:
(not
applicable
as
these
data
are
from
a
medical
surveillance
Principal Investigator:
Co-investigators:
Study Director:
Geary W. Olsen, D.V.M., Ph.D."
Michele M. Burlew, M.S.! Jean M. Burris, RN, MPH.
Jeffrey H. Mandel, M.D., MPH.'
Jeffrey H. Mandel, M.D., MP.H.'
1. 3M Medical Department, 220-3W-0S5t,.Paul, MN 55144-1000
* (Corrections made from previous version)
2
ER% on
o E= = 35
wo
2
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Co
3M Company
Page 20763
ABSTRACT
.
`The 3M fluorochemical medical surveillance program was conducted in 1994/95,
1997 and 2000 at the company's Antwerp (Belgium) and Decatur (Alabama)
`manufacturing plants. Although cross-sectional assessments of the data have been
reported, the opportunity to conduct a longitudinal assessment became possible as a result
of a large number of employee participants in the 2000 fluorochemical medical
surveillance program. A total of 175 male employees voluntarily participated in the 2000
program and at least one of the two previous program years.A total of 106 (61 percent)
of the 175 employees participated in the 1994/95 program and 110 (63 percent) of the
175 participated in the 1997 program. Of these 175 employees, a totalof 41 (24 percent)
participated in all three years (Antwerp = 21, Decatu=r 20), 65 (37 percent) participated
in 1994/95 and 2000 (Antwerp = 45, Decatur = 20) and 69 (39 percent) participated in
1997 and 2000 (Antwerp = 34, Decatur = 35). There were insufficient number of female
`employees to conduct any meaningful longitudinal assessment. Only 14 female
employees participated in the 2000 fluorochemical medical surveillance program and at
least one of the previous program years.
Serum perfluorooctanesulfonate (PFOS) and perfluorooctanoate (PFOA) were
assayed in each surveillance program year although the method of analysis (high
performance liquid chromatography mass spectrometry) differed slightly between years.
A different research laboratory was used to assay PFOS and PFOA in each year.
`The same hospital laboratory analyzed the clinical chemistries for all three
surveillance years. These included: cholesterol (mg/dl). high density lipoproteins (HDL,
000255
3PMagCeo3m0p0a6n3y mg/d) and triglycerides (mg/dl); alkaline phosphatase (TU/L), gamma glutamyl transferase (GGT, TUL), aspartate aminotransferase (AST, IU/L), alanine aminotransferase (ALT, IU/L), total and direct bilirubin (mg/dI). Most reference ranges remained relatively constant over time except for ALT. In each surveillance year, potential confounding factors were also determined. These covariates included age, body `mass index, number of alcoholic drinks per day and cigarettes smoked per day.
`The continuous outcomes of lipid and hepatic clinical chemistry tests were evaluated as repeated measures incorporating the random subject effect fitted to a mixed `model by the MIXED procedure in the SAS statistical package. Restricted maximum likelihood estimates of variance parameters were computed. Adjusted regression models were built by introducing all covariates and testing the covariance structure. Significant coefficients were defined when the p value was < 05.
`There was a positive association between PFOA and serum cholesterol and triglycerides over time but not with PFOS. This was association was limited to the Antwerp employees and. in particular, the 21 Antwerp employees who participated in all three surveillance years. This positive association between PFOA and serum lipids is opposite the inconsistent toxicological evidence that suggested a possible hypolipidemic effect of PFOA in rodents and no effect in primates. Adjusting for potential confounders, there were no temporal changes associated with the fluorochemical tests, PFOS, PFOA and TOF, and the hepatic clinical chemistry tests.
Limitations of ths study included the numberof employees with three years of surveillance data (only 24% of the 175 subjects), the inability to analyze temporal changes due to small numbers in female employees, the use of different laboratories and
000256
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3M Company
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the associated systematic (experimental error) with each fluorochemical assay for the
three surveillance program years and the lower levels of serum PFOS and PFOA
`measured in each program year among these employees compared with those that cause
effects in laboratory animals.
000257
3PMagCeoSmopfan6y3 INTRODUCTION
`The 3M fluorochemical medical surveillance program is conducted on a routine basis at the company's Antwerp (Belgium) and Decatur (Alabama) manufacturing plants. Employee participation is voluntary. Prior to 1994, only total organic fluorine was `measured and no specific fluorochemical analytes were measured. Serum perfluorooctanesulfonate (PFOS) and perfluorooctanoate (PFOA) have been routinely assayed since 1994/95 rather than total organic fluorine as the analytical capabilities have: improved. Cross-sectional analyses of the 1994/95 and 1997 medical surveillance `program data and the 2000 data in relation to Antwerp and Decatur employees' serum PFOS levels have been reported elsewhere (Olsen et al, 1999, 1999b, 2001). Inthe. 1994/1995 medical surveillance program, a total of 178 male employees participated (Antwerp = 88; Decatur = 90) and 149 male employees participated in the 1997 program (Antwerp = 65; Decatur = 84). For these two program years, there were too few female participants to include in the data analysis (Olsen etal 1998). In the 2000 fluorochemical `medical surveillance program. there were considerably more participants: 421 males (Antwerp = 206; Decatu=r 215) and 97 females (Antwerp = 49; Deca=t4u8)r, It was suspected that the increased voluntary participation in 2000 was due to increased employee awareness of the persistence and prevalence of PFOS in human tissue and the environment and the company's May 16, 2000 phase out announcement that it would cease the production of perfluorooctanyl chemistry in certain repellents and surfactants by the end of 2000.
Regardless of the surveillance year, there have been several consistent differences between the Antwerp and Decatur male employee populations. The Antwerp male
000258
3PMagCeo6m0p1a6n3y employee population has been significantly younger than Decatur, has had lower Body Mass Indices (BMI) and higher self-reporteddaily consumption of alcohol. In addition, the Antwerp male employee population clinical chemistry profiles were different for several tests including lower mean alkaline phosphatase and triglyceride values and higher total bilirubin and HDL values than the Decatur male employee population, Analyses of workers' lipid and hepatic clinical chemistry results have not been associated with hypolipidemic effects and PFOS as reported in rodents (3M Company 2000; Haughom and Spydevold 1992;Ikedaet al 1987; Pastor etal 1987; Seacat et al 2001; Sohlenius et al 1993) and primates (Seacat etal 2001b). In the 2000 medical surveillance program, statistical analyses also examined the relation between PFOA and acalculated total organic fluorine index (TOF) to clinical chemistries, hematology, thyroid hormones `and urinalyses (Olsen etal 2001). A positive association was observed between triglycerides and PFOA; however, this association was opposite the data that have: inconsistently reported a hypolipidemia effect of PFOA in rodents (Haughom and Spydevold 1992; Pastor et al 1987) and no effect in primates (Butenhoff et al 2001). Furthermore, this positive association between PFOA and triglycerides has not been observed at the 3M Cottage Grove manufacturing plant (Olsen et al 2000) where employees' serum levels have, historically, been much higher than those measured among Antwerp and Decatur employees (Olsen et al 1999; 2001a; Olsen et al 20016).
`The inability to assess temporal changes in cross-sectional studies is a wellknown limitation of this design. The large participation of employees in the 2000 fluorochemical medical surveillance who may have participated in the 1994/95 and/or 1997 surveillance programs at these two manufacturing sites allowedforan opportunity
000259
3PMagCeo7mopfa6n3y to conduct a longitudinal analysis among the male employee population. Altogether, a total of 175 employees (Antwerp = 100; Decat=7u5r) who participated in 2000 had also participated in at least one previous fluorochemical medical surveillance exam since 1994/95. Therefore, the purpose of this analysis was to conducta longitudinal assessment of this 6 year time period regarding the relationship of PFOS, PFOA and TOF 10 the medical surveillance data collected on these 175 Antwerp and Decatur male employees.
METHODS Data Collection
Data were compiled from the 1994/95, 1997 and 2000 fluorochemical medical surveillance program databases. A total of 175 male employees participated in the 2000 program and at least one of the two previous program years. A total of 106 (61 percent) of the 175 employees participated in the 1994/95 program and 110 (63 percent) of the. 175 participated in the 1997 program. Ofthese 175 employees. a total of41 (24 percent) participated in all three years (Antwerp = 21, Decatur = 20), 65 (37 percent) participated in 1994/95 and 2000 (Antwerp = 45, Decatu=r 20) and 69 (39 percent) participated in 1997 and 2000 (Antwer=p 34, Decatur = 35). For purposes of brevity, these three subpopulations will hereafter be referred to as subeohorts A, B and C.
Demographic data (age, BML alcoholic drinks per day and cigarettes per day) were recorded for each employee in each surveillance year. A standard setofclinical chemistries and hematology data was also obtained for each employee. Given results from previous toxicological studies, the longitudinal analyses focused on lipid
000260
3PMagCeo8m.p0a1n6y3 [cholesterol (mg/d), high density lipoproteins (HDL, mg/dl) and triglycerides (mg/d) and hepatic (alkaline phosphatase (IU/L), gamma glutamy transferase (GGT, IU/L), aspartate aminotransferase (AST, IU/L), alanine aminotransferase (ALT, IU/L), total and direct bilirubin (mg/dD] clinical chemistries that were measured in each program year by the same laboratory (Allina Laboratories, St. Paul , MN). Reference ranges were relatively constant over time, although for ALT the range declined from 20-65 IU/L in 1994/95 to 1-40 T/L in 1997 and 2000.
Eluorochemical Analyses
PFOS and PFOA were assayed in 1994/95, 1997 and 2000. However, the method
of analysis differed slightly for each year. In 1994/95, the method used
tetrabutylammonium to ion-pair with POS and PFOA in the serum (Johnson et al 1996).
i.
`The ion-pairs were then extracted with ethyl acetate. The abstraction product was then
analyzed using high-performance liquid chromatograph-thermospray mass spectrometry.
In 1997, the serum samples were analyzed by liquid chromatography/mass spectrometry,
using selected ion monitoring in the negative-ion mode (Anderson and Mulvanna 1997a;
1997b). In 2000, sera samples were extractedusingan ion-pairing extraction procedure
(Hansen et al, 2001). Only in 2000 were the extracts quantitatively analyzed for PFOS
and PFOA as well as the other analytes: PFHS, (erfluorohexanesulfonate), PFOSAA (N-
ethyl perfluorooctanesulfonamidoacetate), M570 (N-methyl
perfluorooctanesulfonamidoacetate), PFOSA (perfluorooctanesulfonateamide) and M556
(perfluorooctanesulfonamidoacetate). High-performance liquid
chromatography/electrospray tandem mass spectrometry (HPLC/ESMSMS) was the
000261
3PMagCeomopfan6y3 technique used in 2000. The samples were evaluated versus an extracted curve from a human serum matrix. Analyses were conducted at different laboratories in the three surveillance years. For purposes of this longitudinal analysis,atotal organic fluorine index (TOF) was determined by calculating the percent of PFOS and PFOA that was auributed to organic fluorine (64.7 and 69.0 percent, respectively) multiplied by the ppm `measured for each of these two fluorochemicals and then summed to produce the TOF.
Data Analysis Briefly, mixed models can be used in the analysis of repeated measures data
`which are simply data sets with multiple measurementsof a response variable on the same subject over time. Detailed explanation of these models is provided elsewhere (Littell 1996: 2000). Mixed models contain factor effects which are considered both fixed and random. An effecti fixed if the leveilns the study represent all possible levels of the factor,orat least all levels about which inference is to be made. Factor effects are randomifthe levels of the factor that are used in the study represent only a random sampleof a larger set of potential levels.
`The focus of the standard linear model is to model the mean ofy by using the fixed-effects parameters 8. Thats,
y=Xp+e where y represents a vector of observed data, 8 is an unknown vector of fixed effects parameters with known design matrix X, and e is an unknown random error vector `modeling the statistical `noise around XB. The residual errorse are assumed to be
000262
P3aMgeCo1m0p0a1n6y3 independent and identically distributed Gaussian random variables with mean 0 and
variance 0.
A generalized standard linear model is amixed model which is: y=Xp+Zy+e
where y is an unknown vector of random-<ffects parameters with known design matrix Z. and e is an unknown random error vector whose elements are no longer required to be. independent and homogeneous. Ify + areassumedto be Gaussian random variables
"that are uncorrelated and have expectations 0 and variances G and R, respectively, then
the variance ofy is:
V=2GZ +R
"The variance of the data, y, can be modeled by specifying the structure of Z, G and R. "The model matrix Z is designed in the same fashion as X, the model matrix for the fixedeffects parameters.
For the matrices G and R, a covariance structure must be selected in using mixed models. Since observations on different subjects are assumed to be independent, the structure refers to the covariance pattern of repeated measurements on the same subject. For most of these structures, the covariance between two observations on the same Subject depends only on the length of the time interval between measurements and the variance is constant over time. Numerous covariance structures exist. Common examples include the following. Simple covariance structure (SIM) specifies that the observations are independent, even on the same subject, and have homogeneous variance. Tis usually not realistic for most repeated measures data because it specifies that observations on the same subject are independent. Compound symmetric (CS, otherwise
00263
)
P3aMgeCo11mopfa6n3y
known as variance components) structure specifies that observations on the same subject
have homogeneous covariance and homogeneous. variance. Correlations between two
observations are equal for all pairs of observations on the same subject. Autoregressive
order 1 (AR(1))covariance structure specifies homogeneous variance but that covariances
between observations on the same subject are not equa, but decrease toward zero with
increasing time interval between measurements (lag). Its limitation is that observations
on the same subject far apart in time would be essentially independent. Autoregressive
with random effect for subject (AR + RE) covariance structure specifies homogeneous
variance plus the covariance between observations on the same subject arises from two.
sources: 1) any two observations share a common contribution because they are on the
same subject; and 2) the covariance between observations decreases exponentially with
lag but only to the common contribution (ot to independence). Toeplitz (TOEP)
structure specifies that covariance depends only on lag but not as a mathematical function
with a small number of parameters. The `unstructured' structure (UN) specifies no
pattems in the covariance matrix and is therefore completely general. The above
structures are appropriate if equal spacing (of data) is assumed in a time series analyses.
In situations where unequally spaced longitudinal measurements exist, spatial covariance
structures can be used. In the present analyses, equal spacing was assumed given there
were approximately 3 years between each medical surveillance program examinations
`Akaike's information criterion (AIC) and Schwarz's Bayesian criterion (SBC) are:
indices of relative goodness-of-fit that were used to compare models with the same fixed
effects, but different covariance structures. SBC penalizes models more severely for the
000264
P3aMgeCo1m2p0a16n3y number of estimated parameters than AIC and thus the two criteria did not always agree on the choice of `best model. SBC was preferred.
In the present study. the continuous outcomes of lipid and hepatic clinical chemistry tests were valuated as repeated measures incorporating the random subject effect fitted toa mixed modelbythe MIXED procedure in the SAS statistical package (Littell et al 1996). Restricted maximum likelihood estimates (REML) of variance parameters were computed. Adjusted regression models were built by introducing all covariates (see below) and testing the covariance structure. Based on goodness-of-fit tests described above, AR+RE, was routinely considered the best covariance structure chosen for the mixed models. Covariates included PFOS (or PFOA or TOF), years of observation, the interaction term of PFOS and years of observation, age, body mass index (BMI), cigarettes smoked per day, alcohol drinks per day, year at first entry and baseline (at first observation) years worked. For hepatic clinical chemistry tests, serum triglycerides was also considered a covariate (Olsen et al 2001a).
RESULTS Provided in Table 1 are cross-sectional analyses of the study subjects who
participated in each of the three years (1994/95, 1997 and 2000) stratified by location. As reported previously in the complete cross-sectional analyses of these programs (Olsen etal 1998: 1999; 2001), Antwerp employees in this longitudinal investigation were younger. had lower BMIs and drank more alcoholic beverages than Decatur employees. They alsohad consistently lower triglyceride and alkaline phosphatase levels and highet HDL and total bilirubin levels. Decatur employees, on average, had serum PFOS levels
000265
P3aMgeCo1m3p0afn6y3 that were higher by approximately 0.5 ppm in each cross-sectional analysis. Similar
findings were observed for PFOA except with the 1997 data where the two populations
had comparable mean PFOA levels.
Provided in the following two tables are the cross-sectional analyses for the three:
subcohorts by location. Among Antwerp employees (Table 2), each of the three
subcohorts had lower mean serum PFOS levels in 2000 than at their year of entry
`whereas there were no consistent changes across subcohorts with PFOA. Among the
three Decatur subcohorts (Table 3) mean PFOS values declined over time but mean
PFOA levels tended to increase.
Provided in tables 4 through 30 are the mixed model coefficient estimates,
standard errors, p-values and 95% confidence intervals from testing potential
determinantsoflipid and hepatic clinical chemistry change. The natural log was used for
all dependent variables.
.
Tables 4 through 6 contain the analyses for cholesterol. There was no change in
cholesterol associated with PFOS (Table 4). Overall, PFOA was positively associated
with cholesterol as the main effect coefficient was significantlypositive but its interaction
with time (years variable) was negative (Table 5). Provided in Tables SA through SD are
separate analyses for Antwerp for all subjects (Table SA) and by each subcohort. The
PFOA and cholesterol association appeared to primarily reside with the 21 Antwerp
employees in subcohort A (Table SB). This finding can also be observed in Table 2 as
the subcohort's mean PFOA levels went from 1.32 ppm. to 2.37 ppm and then declined to
2.06 ppm at the same time their cholesterol values rose from 208 mg/dL to 226 mg/dL to
229 mg/dL. There were no associations between cholesterol and PFOA observed among
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the Decatur employee population (Table SE) nor were there significant associations
between TOF and Antwerp or Decatur but when the two sites were combined there was a significant positive association between TOF and cholesterol (Tables 6, 6A and 6B).
`There were no significant associations between PFOS, PFOA or TOF with HDL.
(Tables 7 through 9). BMI, alcoholic drinks per day and cigarettes smoked per day were
the most significant associations with HDL.
|
Triglycerides were not significantly associated with PFOS overtime when both
Antwerp and Decatur populations were examined together (Table 10). However, among
the combined Antwerp and Decatur populations, PFOA was positively associated with
triglycerides (Table 11) as seen with the significant positive coefficientforthe main
effect of PFOA and the nonsignificant positive main coefficient of years and the negative:
coefficient for their interaction (PFOA x years). The significant main effect of PFOA
was the consequence of the Antwerp population (Table LLA) and primarily subcohort A
(table 11B) and, to a lesser extent subcohort B (Table 11C). but not subcohort C (Table
11D). Therefore, the association appeared to be related to the Antwerp workers who
were enrolled in this longitudinal cohort beginning in 1995, but not 1997. There was not
a significant association between PFOA and triglycerides among Decatur workers (Table 11E). Among the Antwerp subcohort A, their mean triglyceride levels rose from 85
mg/dL to 115 mg/dL to 123 mg/dL at the same time their PFOA levels increased from
1.32 ppm t0 2.37 ppm and then declined to 2.06 ppm. Although the main effect for TOF
`was significantly positive, the interaction term with time (years) was not significant
(Table 12). Again. this association was more consistent for Antwerp employees (Table
12a) than Decatur employees (Table 12B).
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P3aMgeCo15mp0fan63y Among the hepatic clinical chemistry tests that were adjusted for the various changing demographic factors and triglyceride levels, there were no significant associations between PFOS, PFOA and TOF with changes in alkaline phosphatase (Tables 13 - 15), GGT (Tables 16-18), AST (Tables 19-21), ALT (Tables 22-24), total bilirubin (Tables 25 - 27)ordirect bilirubin (Tables 28-30). Observations apparent in `Tables 2 and 3 can also be seen in these mixed model analyses. For example, the two most significant predictors of alkaline phosphatase were time (years) and location (as seen with the lower values among Antwerp employees). For ALT, entry period was also significant as it reflected the higher reference range values for ALT that were used in 1994/95 than in subsequent years.
DISCUSSION `These analyses were the first longitudinal assessment of the fluorochemical
`medical surveillance program at 3M's Antwerp and Decatur manufacturing sites. Overall. we observed no associations that were consistent with the toxicological evidence that PFOS produces a hypolipidemic effect at threshold dosages in rats and primates (3M Company 2000; Haughom and Spydevold 1992: Ikeda et al 1987; Pastoor et al 1987; Seacat et al 2001a: 2001b: Sohlenius et al 1993). Our results did suggesta positive association between temporal changes in cholesterol and triglycerides and PFOA: however this is also inconsistent with the toxicological evidence that PFOA may result in a hypolipidemic effect in rats (Haughom and Spydevold 1992: Pastoor et al 1987) but produced no effect on blood lipids in primates (Butenhofeft al 2001).
000268
P3aMgeCo1m6p0af6n3y Even though we were able to perform a longitudinal assessment, there were several limitations to our analyses. We were limited to 175 employees of which only 41 (24 percent) participated in all three surveillance years. Although a greater absolute number of Decatur employees (but not percent-wise) have participated during each year, for this longitudinal assessment there were more Antwerp (57 percent) than Decatur (43 percent) employees. Antwerp employees have had lower serum PFOS level by approximately 0.5 ppm (Olsen et al 1998; Olsen et al 1999a; 1999b; 2001a; 2001b; 20010). There were insufficient numbers of female employees for any meaningful longitudinal analysis. Given the variability inherent in the analytical method (Hansen et al 2001) and the different laboratories used, serum PFOS and PFOA levels may have: systematicerror incorporated in each measurement that we were unable to assess as blood samples were analyzed only at the time of the surveillance program. This systematic error may have masked associations with lipid or hepatic clinical chemistries, although the range of PFOS and PFOA measured was relatively consistent throughout the study time period. Because 3M has announced a phase-out of the production of perfluorooctanyl chemistry-related materials, we doubt that there will be many more subjects in the future that can be included in this longitudinal assessment. Also, the findings from this assessment would suggest that serum PFOS levels have either remained constant or declined slightly over time among these 175 employees. On the other hand. serum PFOA levels appeared to trend upwards, on average, by approximately 0.5 t0 1.0 ppm for these employees. Another limitation is the fact that the serum PFOS and PFOA levels measured in these employees were lower than those that cause effects in laboratory animals.
000269
P3aMgeCo1m7p0a1n6y3 In summary, a longitudinal analysis over a six year time period of 175 Antwerp and Decatur male employees did not show significant changes, consistent with toxicological data, of lipid or hepatic clinical chemistry values associated with either PFOS or PFOA. The PFOS and PFOA serum levels measured in these employees were Tower than those that cause effects in laboratory animals.
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Tabrloem4. ToMniixnegdPMootennetliaCloDeeltieiremnintanEsttsiomfaCtheisl,eSsttaenrdaorldCBhoanrgse(ISEn)c,ludPi-nVgalPuFeOsSanndd93th% CIonncfriadcteinocnewLiitmhits NumofeYearrs of Observation of Antwerp and Decatur Male Employees. 95%Confidence Limits
_
Costicien:
sh
phe
Lower
Upper
Inereept
ses
or
<0
618
sus
pros
aot
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mn
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0025
ears Observation [re
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"
~0008
[
PROS x Years Obs 00001
oon
-0004
0003
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oon
00
o
0002
oo
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0006
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0
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003
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oom
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000276
TaoMpsC2om4p6an3y
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Intercept ProA Years Observation PFOA Yeu Obs
Ase BMI Drinkslday Cigaretesiay Locaion* Entry Period Baseline Years Noted
Coston asi oom ons -0005 008 oun vou om oon [a 0004
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000277
pMeCeomrpeandy
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95%Confidence Limits.
_
Codie
$6
phe
Lower
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Intercept
amo
[
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au
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oo
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ears Observation ous
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00
2
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LY
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a
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0
0004
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0004
Wobed
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a
-0010
0007
:
000278
"Table 5. Mixed Model Cocficien sina, Standard Fors (SD), P-Valusand 95% Confidence Limits
frNomuTesmtiobnfgYePeoatrresntoiaflObDesteerrvmaitniaonntosfoAfnCwhoelrespteSruobl"grCohuapngAe(I9n9cl5u,di1n9g9PaFnOdA20a0n0d)tMhelIenteErmapctliooyneweisth
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pe
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pron
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st
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o0is
one
36
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0087
natura log
000279
"blfieomSCT,estMiingscPoMtocsnaelCDeotferfmiinnantFsstofiCahcosl,esSttearnodla"rdChranogse I(SnEc)h,iPn-gVaPlFueOsAsnadnd5th%e ICnoenrfaidceinocnewLitih s Namib of YearsofObievai f Ane Subgrou (1995 snd 2000) Mal Employees 95%Confidence Limits
MPCounrpearsy
Coffe SE pee lower Uppes
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ry
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0004
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ooo
0006
~oon
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wotked _____
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000280
Table SD. Mixed Model Cosficen Fstimats, Stands ors (SE), P-Valus nd 95% Confidence Lins from NTestoingomPfoYteeneatirasloDfetOehrsmcinravnttosnofofCAholnesteerolS"uCbhgraonugpeCIn(cl1u9d9i7nsgnPdF2O0A00a)nMdlthee EImntpelroacyteieosn with 95%Confidence Limits
Pcaorme
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ss
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0026
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on
0007
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idl
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Table SE. Mixed Model Coefficient Estimates, Standard Errors (SE), P-Vanad95l%Counfiedensce Limits
from Testing Potential Determinants ofCholesterol" Change Including PFOA and the Interaction with
] eo
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povalue
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ren
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000282
P3aMgeC0om0p1a6n3y
"Tabflero6.m TMeistxiendgMPootdeenltiaCloeDfefitceiremnitnaFnsttsiomfteCsh,olSetsatnedraorld' ECihraonrsge(SIEn)c,luPd-iVnaglTueOsaFnandd95t%CheoInnftierdaectniconewLiitmhits Numberof Yearsof Observation of Antwerp and Decatur Male Employees 95% Confidence Linits
Coefficient
Intercept
488
oR
0021
Years Observation 0004
TOFxYeusObs -0003
Age
0007
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0006
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oor
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-0001
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0042
Entry Periods
0063
Baseline Years
0.004
| Wedked
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sh
pvalue
[XE
<.0001
0008
07
00s
oor:
0
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0002
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0001
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ons
0010
on
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0002
000283
Tiero6nA.TeMiixnedPiedneisCDoeimeisnionfCeh,iSlaendno Cihoarngse(n5e,diP ngTOF12l ndd9o5e%ICns roanciioncwiLhis NumerofVewsofOsea ofAwe MleBrployees
Pa31gure6)
Co Cooficen
[--
am
or
oon
YoursObsrtion 0008
TOsYesOls 00008
re
ows
a
ows
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oon
r---- oes
En Pens oom
eBawien vsous eooeoonn
sh
pale
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ors
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oon
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|
ios "natural log. 7
|
000254
|
eCoampsanyy
blreo6m.sMiinngedPMotoentliaCl oDeftefriminnanPtisnoftCheo,leSsttaendraorldCEhraonrgseI(nScElu.diPn-gVlTuOeFs aanndd9t5h%CIonnefricdieonncewiLihmits `Number ofYears of Observation ofDecatur MaleEmployees:
LoLStCodencelimis
Coelicien__
SE pole
Lower
upper
rept
sam
ome
<o00
sn
sie
Tor
oo
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ome
+ oo
oon
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2
~0006
oon
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mr
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5s
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on
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0002
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6
~0004
0007
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oo.m
~0010
oo
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|
41994195vs 1997
000285
PWoeneg
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Nianbeorf Years ofObservation of Aner adDecal Male Employees
|
95%Confidence Limits
--
ntereep
aan
Pros
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YonOweion ow
POSx YanOhs 0001
ne
oon
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oot
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0007
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-o013
00005
000286
spo m
|||
Table 8. eo er NL! ange dgDe08ls Eoepis o Mixed Model Coefficient Estimates, Standard Errors (SE), P-Values and 95% Confidence Limits
J
tw mee
ner ur
ae
a
as
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=
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------------------------eetetteeeeeet
f ateec natural log
00287
pt
| yo J|. an worked
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000288
aSssm
|
ible 10, Mind el Coin Ftc, Sandor 1, P-Vales 395% Confer Lins
|
from Testing Potential ra of sro tes Determinants of Triglyceride' Change Including Wl os PFOS and the Interaction with
|
Guten Cw
pais Lower i" 95%Confidence Limits.
_--
am
ans
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no
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| one ww com uw ws Turboem1.TeMiinnedPoMteondteiallCDoeetfeircmiiennanFtstoifmaTtgesy,cSetranddea"rdChraonrgse (ISnEc)l,udPi-nVgalPuFeOsAanadn95t%heCIonnfaicdienocnewLiilnhits
NumobfYeearrsofObservation of Antwerp and DecaturMaleEmployees
|
95% Confidence Limits
_Coclricent
TR patie
Lower
Upper
Inercent
25%
oar
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1883
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ms
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000290
ro
|
|
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POA YeusObs I oi Drikattay Cigaenesny
Pa
Testing Potential Determinants of Tigyceride* Change nungPFOA and he Iitaion wilh
NumberofYears of Observation of Antwerp MaleEmployees
95% ConfidenceLimits
Cuttcien_
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00
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| h9a9n49gSvs1997
Ed
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000291
pend
FleoNm1u1mT.beestrMioinfgsPecoatMenomdieofnlviDCertvoeirmltiiniaonntFsoifosftAiTmnaiesgi, SrtSseunbd'garrCdohuFaponAgres(1I(9nS9cE5l,,u1iPn9-gV9aPlaFuneOdsA2a0na0nd09)t5Mh%aelnCecoEnrfmcipidleoonnyceewsiLtihmits 95% Contitene Linis
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000292
3PMeCo0m0pa1n3y
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95% Confidence Limits
J
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pre
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as
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000293
,
3PMaCdoimp6an3y
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95%Confidence Limits
_
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000294
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ne
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Ceen
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pe
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000295
Pecoeusn
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--
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000297
P--
|
Te 20 id MeCoenso meSongCroorgs (55igVBiOFd 9m5e%cCoonfenr oiihis
|
Number af yearsafObeepvaon fo DecaturMaleEmployees
|
ostConteris
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