1 Preliminaries

1.1 Packages used

The R packages used in the analysis are the following: “ggplot2”,“dplyr”,“data.table”,“Hmisc”,“stargazer”,“psych”,“plyr”,“tableone”, “sjPlot”,“corrplot”,“ICC”, “irr”,“coefplot”,“car”,“knitr” Complete information on the versions and the exact citations are provided in the end of the report. —

1.2 Raw data files

The raw data files used for the analysis are the following:

Cyprus
questionnaire - CY_20150714_Questionnaire_DF.csv
BPA results - CY_BPA_spot_rawdata_DF.csv and CY_BPA_morn_rawdata_DF.csv
Iodine results (incl. creatinine) - CY_creat_iodine_DF.csv
Romania
questionnaire - RO_Questionnaire_150711_DF.csv
BPA results - RO_BPA_rawdata.csv
Iodine results - RO_creat_iodine_DF.csv

1.3 Variable lists

The variables were all taken from the raw data. Questionnaire variables were summarized to be used in the summary analysis of the exposures. Variables that were not directly measured such as BMI or the creatinine-adjustment of the urinary concentrations were created during the analysis. Specific variable lists were created and used in the present script for efficiency.

List of the different combinations of the variables used in the analysis:

quest_vars - all the variables extracted from the questionnaire and used in the analysis
quest_analysis_vars - questionnaire variables used in the final analysis
demo_vars - demographics and anthropometric characteristics
expo_vars - summary of the “questionniare exposures”
horm_vars_iod_sp - hormones and spot iodine (ng/L) (all continuous)
horm_vars_cat - categorical variables of the hormone levels and the antibodies
Note: the categorization of the hormone leves was done separately for Cyprus and Romania since the normal levels differ in the two countries.
urine_levs_vars - ng/L urine levels both spot and morning (raw, ng/L and ng/g)
urine_levs_vars_av - urine levels average levels {derived with the function (spot+morn)/2}
ln_vars_spot - ln-transformed ng/L and ng/g - spot
ln_vars_morn - ln-transformed ng/L and ng/g - morning
ln_vars_av - ln-transformed average ng/L and ng/g - (ln of the average not average of the ln_spot and ln_morn)
quant_vars - quantiles of the BPF, BPA and ClxBPA (ng/L)

1.4 Functions

General functions

creatine_adj – creatinine adjustment (ng/L concentrations divided by the creatinine) _Note: iodine concentrations were already adjusted for creatinine and the units were ug/L and ug/g (unadjusted and adjusted, respectively)
spot_morn_av – average of spot and morning - applied to the ng/L and the ng/g
gm_func – geometric mean
gsd_func – geometric standard deviation
break_quant – breaking the quantiles (0,0.25,0.50,0.75,1) - including the lowest bound
t_test_unpaired_table – table for the results of the unpaired t-test - applied to the ln-transformed ng/L and ng/g concentrations, hormones etc.
wilcox_test_unpaired_table – table for the results of the unpaired Wilcoxon test - applied to the raw ng/L and ng/g concentrations, hormones etc.

Logistic regression functions

_Ξotes: The logistic regression fuctions were used separately for each country and the pooled samples.

All the concentration variables were used in the models log-transformed (to the natural logarithm) including the hormones, iodine and creatinine.

Univariate regressions
- All variables (incl. those recoded from the questionnaires) were included in univariate models
Multivariate regressions
- LR1: adjusted for age, BMI, tsh and ft4
- LR2: adjusted for age, BMI, tsh, ft4 and spot iodine

1.5 Questionnaire variable recoding

List of the final external exposure measurement variables are:

Water consumption from 20L PC bottles
Weekly use of microwave (with plastic container?)
Weekly consumption of canned food (number of portions)
Duration of cleaning activities (as proxy to chlorine exposures)
Weekly use of PCPs (sum of: shampoo, conditioner, body lotion, shower gel, hair dye, hair foam, hair spray, nail polish, lip care products, face cream)
Weekly use of perfume and deodorant
Weekly use of perfume and deodorant and weekly use of cosmetics (makeup, lipstick, eyeliner, rouge, mascara, makeup remover).

## Using CODE as id variables
## Using CODE as id variables

2 Cyprus

2.1 Table S4

## strata: Overall
##                          n miss p.miss  mean     sd median    p25  p75   min     max skew
## BPF_ngPERlt_spot       122    1   0.82  3181  27304    485  365.0  680 134.0  300728 11.0
## BPA_ngPERlt_spot       122    1   0.82  2495   3295   1508  789.0 2806 273.0   24606  4.2
## ClBPA_ngPERlt_spot     122    1   0.82    74     13     71   66.0   78  56.0     148  2.5
## Cl35_2BPA_ngPERlt_spot 122    1   0.82    73     18     67   65.0   71  62.0     144  3.0
## Cl33_2BPA_ngPERlt_spot 122    1   0.82    17     16     15    5.0   15   5.0      80  1.8
## ClxBPA_ngPERlt_spot    122    1   0.82   164     39    152  141.0  168 129.0     357  2.5
## BPF_ngPERg_spot        122    1   0.82  2130  11351    646  397.8 1327 106.1  125199 10.8
## BPA_ngPERg_spot        122    1   0.82  3380   3626   2101 1184.3 4220 214.5   20238  2.4
## ClBPA_ngPERg_spot      122    1   0.82   149    160     89   58.7  159  23.5     810  2.5
## Cl35_2BPA_ngPERg_spot  122    1   0.82   152    169     87   51.7  183  17.4     960  2.6
## Cl33_2BPA_ngPERg_spot  122    1   0.82    34     48     17    7.2   39   2.1     323  3.3
## ClxBPA_ngPERg_spot     122    1   0.82   335    365    199  120.2  376  44.8    1827  2.5
## BPF_ngPERlt_morn       122    8   6.56  1404   5833    550  402.2  878 151.0   61870 10.1
## BPA_ngPERlt_morn       122    8   6.56 11216  62924   2208 1457.5 4632 505.0  654989  9.8
## ClBPA_ngPERlt_morn     122    8   6.56    83     47     73   67.0   83  56.0     512  7.3
## Cl35_2BPA_ngPERlt_morn 122    8   6.56    83     75     68   65.0   76  62.0     848  9.4
## Cl33_2BPA_ngPERlt_morn 122    8   6.56    28     23     15   15.0   41   5.0     100  1.2
## ClxBPA_ngPERlt_morn    122    8   6.56   194    104    164  150.0  203 124.0    1045  5.8
## BPF_ngPERg_morn        122   10   8.20  2236   6048    815  445.0 1219 116.6   48222  6.0
## BPA_ngPERg_morn        122   10   8.20 26119 172516   3545 1595.6 6885 396.8 1809362 10.1
## ClBPA_ngPERg_morn      122   10   8.20   216    681     97   58.5  159  35.1    7111  9.6
## Cl35_2BPA_ngPERg_morn  122   10   8.20   211    660     96   51.4  172  33.0    6889  9.6
## Cl33_2BPA_ngPERg_morn  122   10   8.20    88    430     27   13.3   56   1.8    4556 10.3
## ClxBPA_ngPERg_morn     122   10   8.20   514   1760    228  127.3  403  76.5   18556  9.9
##                          kurt   gm gsd
## BPF_ngPERlt_spot       120.47  548 2.3
## BPA_ngPERlt_spot        22.14 1575 2.5
## ClBPA_ngPERlt_spot       9.53   73 1.2
## Cl35_2BPA_ngPERlt_spot   8.58   71 1.2
## Cl33_2BPA_ngPERlt_spot   3.07   12 2.2
## ClxBPA_ngPERlt_spot      6.91  160 1.2
## BPF_ngPERg_spot        117.99  775 2.6
## BPA_ngPERg_spot          6.12 2229 2.5
## ClBPA_ngPERg_spot        6.63  103 2.2
## Cl35_2BPA_ngPERg_spot    7.27  101 2.4
## Cl33_2BPA_ngPERg_spot   13.06   18 3.1
## ClxBPA_ngPERg_spot       6.44  227 2.3
## BPF_ngPERlt_morn       104.71  637 2.3
## BPA_ngPERlt_morn        99.47 2727 3.0
## ClBPA_ngPERlt_morn      63.54   78 1.3
## Cl35_2BPA_ngPERlt_morn  95.77   75 1.4
## Cl33_2BPA_ngPERlt_morn   0.87   20 2.3
## ClxBPA_ngPERlt_morn     42.71  182 1.4
## BPF_ngPERg_morn         39.36  897 3.0
## BPA_ngPERg_morn        105.50 3923 3.5
## ClBPA_ngPERg_morn       96.96  111 2.4
## Cl35_2BPA_ngPERg_morn   96.98  107 2.4
## Cl33_2BPA_ngPERg_morn  107.84   29 3.2
## ClxBPA_ngPERg_morn     101.95  259 2.4

Table: CY - Summary of the urinary levels (all participants)

## Note: All the t-tests have been applied to the ln-transformed concentrations

Paired t-test p-values and ICC - spot and morning samples - CY (pooled population) - Table S4
	method	p.value	ICC	LowerCI	UpperCI
BPF_ngPERlt	Paired t-test	0.0634916683119793	0.458845971316997	0.313423305588782	0.604268637045211
BPA_ngPERlt	Paired t-test	1.46954396636618e-06	0.155802749962952	-0.0261253660406351	0.33773086596654
ClBPA_ngPERlt	Paired t-test	0.00252995275638623	0.308083752492721	0.140491212944793	0.475676292040649
Cl35_2BPA_ngPERlt	Paired t-test	0.159524255332564	-0.0667064538405715	-0.255153567560228	0.121740659879085
Cl33_2BPA_ngPERlt	Paired t-test	1.10646310277686e-05	0.104054801265897	-0.0809110631645849	0.289020665696379
ClxBPA_ngPERlt	Paired t-test	0.000207443636623444	0.0940296772627003	-0.0914175838605487	0.279476938385949
BPF_ngPERg	Paired t-test	0.27995859920388	0.208007959709809	0.0282177416208153	0.387798177798803
BPA_ngPERg	Paired t-test	5.08372802699384e-06	0.213340005288653	0.0340273169482114	0.392652693629095
ClBPA_ngPERg	Paired t-test	0.531221435937399	0.308188173404376	0.13901669803282	0.477359648775931
Cl35_2BPA_ngPERg	Paired t-test	0.743882297631523	0.3370977799242	0.171638782267132	0.502556777581268
Cl33_2BPA_ngPERg	Paired t-test	0.00191501038735322	0.202600424358262	0.0223359602335225	0.382864888483001
ClxBPA_ngPERg	Paired t-test	0.273129603713081	0.316536848613297	0.148407617731461	0.484666079495132

3 Romania

4 Working on the both countries (pooled population)

4.1 Descriptives and comparisons - demographics, hormones, iodine and urinary levels of BPA, BPF, ClxBPA

4.1.1 Table 1, Table S1, Table S3

Demographics (all study population - by status and in the two countries - Table 1)
	Overall	CA	CO	p	test	Overall	CA	CO	p	test	Overall	CA	CO	p	test
n	212	106	106			122	57	65			90	49	41
age (mean (sd))	49.21 (12.67)	51.87 (11.76)	46.56 (13.04)	0.002		50.88 (12.27)	52.75 (12.39)	49.23 (12.02)	0.114		46.96 (12.92)	50.84 (11.02)	42.32 (13.62)	0.001
weight (mean (sd))	69.55 (14.25)	72.34 (15.59)	66.68 (12.14)	0.004		67.04 (12.16)	68.04 (13.00)	66.14 (11.38)	0.397		72.93 (16.11)	77.35 (16.94)	67.52 (13.34)	0.004
heightM (mean (sd))	1.64 (0.06)	1.63 (0.06)	1.64 (0.06)	0.102		1.63 (0.06)	1.62 (0.06)	1.63 (0.06)	0.691		1.65 (0.06)	1.63 (0.06)	1.66 (0.06)	0.016
BMI (mean (sd))	26.08 (5.50)	27.39 (6.10)	24.75 (4.48)	0.001		25.39 (4.56)	25.85 (4.91)	24.98 (4.22)	0.303		27.00 (6.46)	29.11 (6.85)	24.41 (4.88)	<0.001
BMI_cat (%)				0.035	exact				0.667	exact				0.021	exact
Underweight	5 ( 2.4)	1 ( 1.0)	4 ( 3.9)			2 ( 1.7)	0 ( 0.0)	2 ( 3.2)			3 ( 3.4)	1 ( 2.0)	2 ( 5.0)
Normal	91 (44.2)	39 (37.5)	52 (51.0)			56 (47.9)	25 (45.5)	31 (50.0)			35 (39.3)	14 (28.6)	21 (52.5)
Overweight	61 (29.6)	32 (30.8)	29 (28.4)			39 (33.3)	20 (36.4)	19 (30.6)			22 (24.7)	12 (24.5)	10 (25.0)
Obese	49 (23.8)	32 (30.8)	17 (16.7)			20 (17.1)	10 (18.2)	10 (16.1)			29 (32.6)	22 (44.9)	7 (17.5)
smokst (%)				0.691					0.858					0.677
Never	157 (75.5)	76 (73.8)	81 (77.1)			94 (77.0)	43 (75.4)	51 (78.5)			63 (73.3)	33 (71.7)	30 (75.0)
Currently	36 (17.3)	18 (17.5)	18 (17.1)			17 (13.9)	8 (14.0)	9 (13.8)			19 (22.1)	10 (21.7)	9 (22.5)
Past	15 ( 7.2)	9 ( 8.7)	6 ( 5.7)			11 ( 9.0)	6 (10.5)	5 ( 7.7)			4 ( 4.7)	3 ( 6.5)	1 ( 2.5)
alccons (%)				0.817	exact				0.524	exact				0.364	exact
Never/Rarely	175 (84.5)	88 (86.3)	87 (82.9)			95 (77.9)	47 (82.5)	48 (73.8)			80 (94.1)	41 (91.1)	39 (97.5)
Weekend	25 (12.1)	11 (10.8)	14 (13.3)			20 (16.4)	7 (12.3)	13 (20.0)			5 ( 5.9)	4 ( 8.9)	1 ( 2.5)
Often	7 ( 3.4)	3 ( 2.9)	4 ( 3.8)			7 ( 5.7)	3 ( 5.3)	4 ( 6.2)			0 ( 0.0)	0 ( 0.0)	0 ( 0.0)
marstat (%)				0.017	exact				0.177	exact				0.033	exact
Single	25 (12.0)	6 ( 5.8)	19 (18.1)			13 (10.7)	4 ( 7.0)	9 (13.8)			12 (14.0)	2 ( 4.3)	10 (25.0)
Married	157 (75.5)	85 (82.5)	72 (68.6)			99 (81.1)	49 (86.0)	50 (76.9)			58 (67.4)	36 (78.3)	22 (55.0)
Divorced	13 ( 6.2)	4 ( 3.9)	9 ( 8.6)			6 ( 4.9)	1 ( 1.8)	5 ( 7.7)			7 ( 8.1)	3 ( 6.5)	4 (10.0)
Widow	12 ( 5.8)	7 ( 6.8)	5 ( 4.8)			4 ( 3.3)	3 ( 5.3)	1 ( 1.5)			8 ( 9.3)	4 ( 8.7)	4 (10.0)
Other	1 ( 0.5)	1 ( 1.0)	0 ( 0.0)			0 ( 0.0)	0 ( 0.0)	0 ( 0.0)			1 ( 1.2)	1 ( 2.2)	0 ( 0.0)
edu (%)				0.003	exact				0.134	exact				0.001	exact
Primary	28 (13.5)	21 (20.4)	7 ( 6.7)			16 (13.1)	11 (19.3)	5 ( 7.7)			12 (14.1)	10 (21.7)	2 ( 5.1)
Secondary	78 (37.7)	40 (38.8)	38 (36.5)			43 (35.2)	17 (29.8)	26 (40.0)			35 (41.2)	23 (50.0)	12 (30.8)
University	99 (47.8)	40 (38.8)	59 (56.7)			63 (51.6)	29 (50.9)	34 (52.3)			36 (42.4)	11 (23.9)	25 (64.1)
Other	2 ( 1.0)	2 ( 1.9)	0 ( 0.0)			0 ( 0.0)	0 ( 0.0)	0 ( 0.0)			2 ( 2.4)	2 ( 4.3)	0 ( 0.0)

Hormone and iodine (all study population - by status and in the two countries) - Table 1
	Overall	CA	CO	p	test	Overall	CA	CO	p	test	Overall	CA	CO	p	test
n	212	106	106			122	57	65			90	49	41
tsh (median [IQR])	1.58 [1.05, 2.19]	1.42 [0.90, 1.97]	1.68 [1.18, 2.49]	0.016	nonnorm	1.51 [1.06, 2.00]	1.40 [0.90, 1.98]	1.53 [1.08, 2.00]	0.559	nonnorm	1.68 [1.05, 2.55]	1.44 [0.83, 1.85]	2.20 [1.28, 2.94]	0.003	nonnorm
ft4 (median [IQR])	13.40 [12.11, 14.90]	13.40 [12.40, 14.90]	13.43 [12.06, 14.90]	0.748	nonnorm	12.70 [11.80, 14.00]	12.90 [11.90, 13.95]	12.60 [11.80, 14.00]	0.606	nonnorm	14.71 [13.10, 16.10]	14.60 [12.90, 15.70]	14.80 [13.50, 16.10]	0.598	nonnorm
iod_ugPERlt_spot (median [IQR])	107.80 [48.90, 185.62]	105.65 [44.47, 157.93]	110.60 [53.76, 190.03]	0.320	nonnorm	94.30 [40.40, 190.00]	82.00 [26.80, 165.50]	103.35 [48.42, 190.03]	0.254	nonnorm	118.40 [60.53, 182.80]	115.80 [64.47, 153.00]	127.75 [58.86, 188.93]	0.583	nonnorm
iod_ugPERg_spot (median [IQR])	121.22 [71.94, 180.16]	110.30 [70.89, 160.07]	134.50 [77.15, 187.65]	0.086	nonnorm	114.30 [67.40, 185.20]	109.30 [59.40, 178.30]	134.50 [69.60, 185.80]	0.303	nonnorm	125.72 [84.03, 174.82]	114.46 [84.58, 147.03]	134.33 [83.38, 189.68]	0.119	nonnorm

BPA, BPF, ClxBPA (all study population - by status and in the two countries) - Table 1
	Overall	CA	CO	p	test	Overall	CA	CO	p	test	Overall	CA	CO	p	test
n	212	106	106			122	57	65			90	49	41
BPF_ngPERlt_spot (median [IQR])	464.50 [320.25, 719.50]	463.00 [338.00, 679.50]	480.00 [287.25, 788.75]	0.703	nonnorm	485.00 [365.00, 680.00]	457.00 [378.00, 634.00]	510.00 [359.75, 761.00]	0.540	nonnorm	416.00 [219.00, 822.00]	492.00 [256.00, 822.00]	371.00 [158.50, 1034.50]	0.320	nonnorm
BPA_ngPERlt_spot (median [IQR])	2258.00 [1099.75, 4610.75]	1751.00 [1117.25, 3458.25]	2710.50 [1081.00, 5912.00]	0.016	nonnorm	1508.00 [789.00, 2806.00]	1394.00 [757.00, 2189.00]	1831.50 [792.00, 3003.50]	0.333	nonnorm	3778.00 [2134.00, 9050.00]	2453.00 [1495.00, 5173.00]	8012.50 [3112.00, 19288.00]	<0.001	nonnorm
ClBPA_ngPERlt_spot (median [IQR])	73.00 [67.00, 81.75]	72.00 [66.25, 79.75]	74.00 [68.00, 83.50]	0.099	nonnorm	71.00 [66.00, 78.00]	70.00 [66.00, 76.00]	71.50 [65.75, 80.50]	0.297	nonnorm	76.00 [71.00, 88.00]	75.00 [69.00, 83.00]	79.00 [72.75, 94.00]	0.108	nonnorm
Cl35_2BPA_ngPERlt_spot (median [IQR])	68.00 [65.00, 73.00]	68.00 [65.00, 74.00]	68.00 [65.00, 71.25]	0.625	nonnorm	67.00 [65.00, 71.00]	67.00 [65.00, 71.00]	67.00 [65.00, 71.00]	0.442	nonnorm	69.00 [65.00, 75.00]	71.00 [66.00, 78.00]	69.00 [64.00, 74.00]	0.118	nonnorm
Cl33_2BPA_ngPERlt_spot (median [IQR])	15.00 [5.00, 33.75]	15.00 [5.00, 33.75]	15.00 [5.00, 33.25]	0.835	nonnorm	15.00 [5.00, 15.00]	15.00 [5.00, 15.00]	15.00 [5.00, 15.00]	0.264	nonnorm	15.00 [15.00, 44.00]	15.00 [15.00, 44.00]	15.00 [15.00, 43.25]	0.701	nonnorm
ClxBPA_ngPERlt_spot (median [IQR])	159.00 [147.00, 186.75]	158.50 [144.00, 183.75]	159.00 [147.75, 187.25]	0.757	nonnorm	152.00 [141.00, 168.00]	150.00 [140.00, 167.00]	153.00 [143.50, 168.50]	0.357	nonnorm	177.00 [158.00, 201.00]	178.00 [158.00, 201.00]	176.50 [160.50, 201.25]	0.860	nonnorm
BPF_ngPERg_spot (median [IQR])	586.32 [331.45, 1229.15]	603.64 [374.95, 1128.38]	565.39 [314.85, 1419.45]	0.679	nonnorm	645.81 [397.80, 1327.18]	740.98 [463.54, 1192.43]	603.14 [348.77, 1419.45]	0.442	nonnorm	499.64 [271.02, 1138.41]	472.58 [298.39, 997.72]	535.99 [231.07, 1332.31]	0.853	nonnorm
BPA_ngPERg_spot (median [IQR])	2763.28 [1519.81, 5685.52]	2333.19 [1497.61, 4554.86]	3860.16 [1530.03, 8317.94]	0.029	nonnorm	2101.40 [1184.35, 4219.70]	2199.74 [1184.35, 4086.99]	1996.07 [1209.57, 4244.96]	0.963	nonnorm	4669.68 [2231.12, 10050.39]	2800.92 [1826.15, 4809.27]	8536.81 [4454.26, 23687.69]	<0.001	nonnorm
ClBPA_ngPERg_spot (median [IQR])	86.21 [58.28, 159.04]	84.57 [58.49, 166.51]	87.96 [54.06, 158.16]	0.979	nonnorm	89.36 [58.66, 159.20]	89.36 [64.99, 175.39]	89.79 [51.62, 156.95]	0.415	nonnorm	83.42 [58.23, 153.36]	79.40 [54.10, 126.23]	85.27 [66.28, 161.97]	0.324	nonnorm
Cl35_2BPA_ngPERg_spot (median [IQR])	82.45 [51.25, 167.86]	81.71 [54.41, 168.86]	84.84 [46.89, 157.11]	0.589	nonnorm	87.07 [51.67, 182.58]	87.07 [61.64, 182.58]	86.54 [44.79, 173.43]	0.347	nonnorm	78.70 [50.15, 147.73]	78.93 [50.15, 128.21]	76.76 [50.55, 148.73]	0.698	nonnorm
Cl33_2BPA_ngPERg_spot (median [IQR])	20.23 [8.02, 46.42]	19.98 [8.71, 38.92]	20.79 [7.60, 49.59]	0.793	nonnorm	17.32 [7.20, 39.27]	15.06 [8.03, 28.96]	20.55 [7.18, 45.19]	0.578	nonnorm	23.81 [9.78, 64.29]	23.81 [10.30, 62.30]	22.72 [9.63, 85.00]	0.986	nonnorm
ClxBPA_ngPERg_spot (median [IQR])	199.31 [123.65, 391.39]	200.04 [126.59, 386.55]	198.35 [117.87, 395.85]	0.793	nonnorm	199.19 [120.17, 375.68]	199.19 [135.48, 415.73]	198.35 [112.28, 362.14]	0.403	nonnorm	200.90 [125.18, 393.60]	200.90 [124.72, 286.37]	205.57 [133.19, 406.38]	0.444	nonnorm

Determinants of exposure (all study population - by status and in the two countries) - Table S1
	Overall	CA	CO	p	test	Overall	CA	CO	p	test	Overall	CA	CO	p	test
n	212	106	106			122	57	65			90	49	41
daily20lglass (median [IQR])	0.00 [0.00, 0.00]	0.00 [0.00, 0.00]	0.00 [0.00, 0.00]	0.149	nonnorm	0.00 [0.00, 0.91]	0.00 [0.00, 0.00]	0.00 [0.00, 2.14]	0.294	nonnorm	0.00 [0.00, 0.00]	0.00 [0.00, 0.00]	0.00 [0.00, 0.00]	0.375	nonnorm
MwaveFrw (median [IQR])	0.00 [0.00, 0.00]	0.00 [0.00, 0.00]	0.00 [0.00, 0.00]	0.994	nonnorm	0.00 [0.00, 0.00]	0.00 [0.00, 0.00]	0.00 [0.00, 0.02]	0.115	nonnorm	0.00 [0.00, 0.00]	0.00 [0.00, 0.00]	0.00 [0.00, 0.00]	0.005	nonnorm
weekPORTIONScanned (median [IQR])	1.25 [0.38, 2.75]	1.00 [0.27, 2.22]	1.50 [0.53, 3.50]	0.010	nonnorm	1.88 [0.75, 3.01]	1.77 [0.70, 2.28]	2.25 [0.87, 3.81]	0.059	nonnorm	0.50 [0.00, 2.00]	0.38 [0.00, 1.12]	0.75 [0.12, 2.50]	0.109	nonnorm
weekMINScleaning (median [IQR])	277.50 [161.25, 427.50]	292.50 [173.12, 495.00]	262.50 [142.00, 396.12]	0.219	nonnorm	308.62 [177.50, 504.38]	321.16 [202.81, 524.75]	302.40 [171.25, 446.25]	0.512	nonnorm	211.25 [115.00, 355.00]	240.00 [102.50, 399.88]	174.75 [115.00, 306.25]	0.242	nonnorm
weekPORTIONSpcps (median [IQR])	70.00 [53.75, 96.25]	65.72 [41.69, 91.69]	74.38 [58.00, 97.58]	0.036	nonnorm	86.20 [65.86, 103.00]	81.35 [65.59, 103.12]	86.76 [67.14, 102.75]	0.830	nonnorm	50.50 [32.50, 65.00]	41.12 [25.12, 59.00]	58.00 [51.50, 68.75]	0.008	nonnorm
perfwc (median [IQR])	7.00 [1.00, 7.00]	5.00 [0.00, 7.00]	7.00 [3.50, 7.00]	<0.001	nonnorm	7.00 [1.50, 7.00]	5.00 [0.75, 7.00]	7.00 [2.00, 7.00]	0.025	nonnorm	7.00 [1.00, 7.00]	4.50 [0.00, 7.00]	7.00 [5.00, 7.00]	0.008	nonnorm
weekPORTIONSdeo (median [IQR])	7.00 [2.88, 7.00]	7.00 [0.00, 7.00]	7.00 [7.00, 7.00]	0.187	nonnorm	7.00 [3.25, 7.00]	7.00 [1.00, 7.00]	7.00 [4.25, 7.00]	0.973	nonnorm	7.00 [3.00, 7.00]	7.00 [0.00, 7.00]	7.00 [7.00, 7.00]	0.046	nonnorm
weekPORTIONScosm (median [IQR])	7.00 [0.00, 22.06]	3.88 [0.00, 15.75]	14.00 [1.00, 28.00]	<0.001	nonnorm	7.00 [0.18, 22.25]	6.62 [0.02, 16.88]	9.00 [1.00, 22.88]	0.069	nonnorm	7.00 [0.00, 21.12]	1.00 [0.00, 13.00]	20.50 [2.00, 28.00]	0.003	nonnorm

Antibodies (all study population) - Table S2
	Overall	CA	CO	p	CY	RO	p
n	212	106	106		122	90
antitg = Positive (%)	10 ( 7.8)	3 ( 4.5)	7 (11.3)	0.264	3 ( 5.1)	7 (10.0)	0.478
antitpo = Positive (%)	31 (22.3)	12 (16.2)	19 (29.2)	0.102	9 (14.8)	22 (28.2)	0.092

BPA, BPF, ClxBPA - by country - Table S3
	CY	RO	p	test
n	122	90
BPF_ngPERlt_spot (median [IQR])	485.00 [365.00, 680.00]	416.00 [219.00, 822.00]	0.091	nonnorm
BPA_ngPERlt_spot (median [IQR])	1508.00 [789.00, 2806.00]	3778.00 [2134.00, 9050.00]	<0.001	nonnorm
ClBPA_ngPERlt_spot (median [IQR])	71.00 [66.00, 78.00]	76.00 [71.00, 88.00]	<0.001	nonnorm
Cl35_2BPA_ngPERlt_spot (median [IQR])	67.00 [65.00, 71.00]	69.00 [65.00, 75.00]	0.076	nonnorm
Cl33_2BPA_ngPERlt_spot (median [IQR])	15.00 [5.00, 15.00]	15.00 [15.00, 44.00]	<0.001	nonnorm
ClxBPA_ngPERlt_spot (median [IQR])	152.00 [141.00, 168.00]	177.00 [158.00, 201.00]	<0.001	nonnorm
BPF_ngPERg_spot (median [IQR])	645.81 [397.80, 1327.18]	499.64 [271.02, 1138.41]	0.014	nonnorm
BPA_ngPERg_spot (median [IQR])	2101.40 [1184.35, 4219.70]	4669.68 [2231.12, 10050.39]	<0.001	nonnorm
ClBPA_ngPERg_spot (median [IQR])	89.36 [58.66, 159.20]	83.42 [58.23, 153.36]	0.835	nonnorm
Cl35_2BPA_ngPERg_spot (median [IQR])	87.07 [51.67, 182.58]	78.70 [50.15, 147.73]	0.359	nonnorm
Cl33_2BPA_ngPERg_spot (median [IQR])	17.32 [7.20, 39.27]	23.81 [9.78, 64.29]	0.052	nonnorm
ClxBPA_ngPERg_spot (median [IQR])	199.19 [120.17, 375.68]	200.90 [125.18, 393.60]	0.961	nonnorm

Demographics by country
	CY	RO	p	test
n	122	90
age (mean (sd))	50.88 (12.27)	46.96 (12.92)	0.026
weight (mean (sd))	67.04 (12.16)	72.93 (16.11)	0.003
heightM (mean (sd))	1.63 (0.06)	1.65 (0.06)	0.018
BMI (mean (sd))	25.39 (4.56)	27.00 (6.46)	0.037
BMI_cat (%)			0.046	exact
Underweight	2 ( 1.7)	3 ( 3.4)
Normal	56 (47.9)	35 (39.3)
Overweight	39 (33.3)	22 (24.7)
Obese	20 (17.1)	29 (32.6)
smokst (%)			0.186
Never	94 (77.0)	63 (73.3)
Currently	17 (13.9)	19 (22.1)
Past	11 ( 9.0)	4 ( 4.7)
alccons (%)			0.002	exact
Never/Rarely	95 (77.9)	80 (94.1)
Weekend	20 (16.4)	5 ( 5.9)
Often	7 ( 5.7)	0 ( 0.0)
marstat (%)			0.101	exact
Single	13 (10.7)	12 (14.0)
Married	99 (81.1)	58 (67.4)
Divorced	6 ( 4.9)	7 ( 8.1)
Widow	4 ( 3.3)	8 ( 9.3)
Other	0 ( 0.0)	1 ( 1.2)
edu (%)			0.247	exact
Primary	16 (13.1)	12 (14.1)
Secondary	43 (35.2)	35 (41.2)
University	63 (51.6)	36 (42.4)
Other	0 ( 0.0)	2 ( 2.4)

Determinants of exposure by country
	CY	RO	p	test
n	122	90
daily20lglass (median [IQR])	0.00 [0.00, 0.91]	0.00 [0.00, 0.00]	0.004	nonnorm
MwaveFrw (median [IQR])	0.00 [0.00, 0.00]	0.00 [0.00, 0.00]	0.031	nonnorm
weekPORTIONScanned (median [IQR])	1.88 [0.75, 3.01]	0.50 [0.00, 2.00]	<0.001	nonnorm
weekMINScleaning (median [IQR])	308.62 [177.50, 504.38]	211.25 [115.00, 355.00]	0.002	nonnorm
weekPORTIONSpcps (median [IQR])	86.20 [65.86, 103.00]	50.50 [32.50, 65.00]	<0.001	nonnorm
perfwc (median [IQR])	7.00 [1.50, 7.00]	7.00 [1.00, 7.00]	0.860	nonnorm
weekPORTIONSdeo (median [IQR])	7.00 [3.25, 7.00]	7.00 [3.00, 7.00]	0.554	nonnorm
weekPORTIONScosm (median [IQR])	7.00 [0.18, 22.25]	7.00 [0.00, 21.12]	0.296	nonnorm

Hormones and iodine levels by country
	CY	RO	p	test
n	122	90
tsh (median [IQR])	1.51 [1.06, 2.00]	1.68 [1.05, 2.55]	0.122	nonnorm
ft4 (median [IQR])	12.70 [11.80, 14.00]	14.71 [13.10, 16.10]	<0.001	nonnorm
iod_ugPERlt_spot (median [IQR])	94.30 [40.40, 190.00]	118.40 [60.53, 182.80]	0.212	nonnorm
iod_ugPERg_spot (median [IQR])	114.30 [67.40, 185.20]	125.72 [84.03, 174.82]	0.548	nonnorm

4.2 Logistic regressions

4.2.1 Table S6, Table S7

Demographics - table S6 - A

status01

OR

CI

p

OR

CI

p

OR

CI

p

OR

CI

p

OR

CI

p

OR

CI

p

OR

CI

p

OR

CI

p

(Intercept)

0.19

0.06 – 0.56

.003

0.14

0.03 – 0.55

.006

455.50

0.31 – 831313.64

.103

0.09

0.02 – 0.37

.001

0.94

0.69 – 1.28

.690

1.01

0.75 – 1.36

.940

0.32

0.12 – 0.75

.014

3.00

1.34 – 7.62

.012

age

1.03

1.01 – 1.06

.003

weight

1.03

1.01 – 1.05

.005

heightM

0.02

0.00 – 2.02

.103

BMI

1.10

1.04 – 1.16

.001

smokstCurrently

1.07

0.51 – 2.21

.863

smokstPast

1.60

0.55 – 4.97

.394

alcconsWeekend

0.78

0.33 – 1.80

.557

alcconsOften

0.74

0.14 – 3.46

.701

marstatMarried

3.74

1.49 – 10.72

.008

marstatDivorced

1.41

0.30 – 6.26

.654

marstatWidow

4.43

1.05 – 20.69

.047

marstatOther

6707569.93

0.00 – NA

.986

eduSecondary

0.35

0.13 – 0.89

.033

eduUniversity

0.23

0.08 – 0.56

.002

eduOther

1919270.95

0.00 – NA

.989

Observations

212

209

208

206

208

207

208

207

Questionnaire exposures - table S6 - A

status01

OR

CI

p

OR

CI

p

OR

CI

p

OR

CI

p

OR

CI

p

OR

CI

p

OR

CI

p

OR

CI

p

(Intercept)

1.15

0.86 – 1.54

.354

1.02

0.76 – 1.35

.906

1.33

0.92 – 1.96

.138

0.78

0.48 – 1.26

.314

1.91

0.95 – 3.94

.073

2.01

1.23 – 3.35

.006

1.37

0.81 – 2.35

.248

1.62

1.10 – 2.41

.015

daily20lglass

0.86

0.72 – 1.00

.060

MwaveFrw

1.00

0.87 – 1.16

.964

weekPORTIONScanned

0.84

0.73 – 0.95

.013

weekMINScleaning

1.00

1.00 – 1.00

.327

weekPORTIONSpcps

0.99

0.98 – 1.00

.090

perfwc

0.87

0.80 – 0.95

.002

weekPORTIONSdeo

0.95

0.87 – 1.03

.203

weekPORTIONScosm

0.96

0.94 – 0.98

.001

Observations

209

208

193

185

168

207

200

202

Hormone levels and iodine - table S6 - A

status01

OR

CI

p

OR

CI

p

OR

CI

p

(Intercept)

1.26

0.91 – 1.76

.171

0.52

0.00 – 59.61

.784

2.47

0.75 – 8.44

.140

ln_tsh

0.57

0.36 – 0.88

.014

ln_ft4

1.28

0.21 – 7.98

.790

ln_iod_ugPERlt_spot

0.82

0.62 – 1.06

.129

Observations

212

210

208

Study-site adjusted univariate logistic regression

Demographics - table S6 - B

status01

OR

CI

p

OR

CI

p

OR

CI

p

OR

CI

p

OR

CI

p

OR

CI

p

OR

CI

p

OR

CI

p

(Intercept)

0.13

0.04 – 0.43

.001

0.14

0.03 – 0.55

.006

1091.28

0.66 – 2395330.40

.068

0.09

0.02 – 0.36

.001

0.83

0.57 – 1.23

.358

0.92

0.62 – 1.36

.663

0.27

0.09 – 0.66

.007

2.74

1.18 – 7.16

.026

countryRO

1.61

0.91 – 2.87

.103

1.16

0.66 – 2.06

.604

1.57

0.89 – 2.78

.119

1.22

0.69 – 2.17

.490

1.34

0.77 – 2.35

.306

1.24

0.70 – 2.20

.455

1.40

0.79 – 2.52

.252

1.24

0.70 – 2.21

.463

age

1.04

1.02 – 1.06

.001

weight

1.03

1.01 – 1.05

.007

heightM

0.01

0.00 – 1.17

.062

BMI

1.10

1.04 – 1.16

.001

smokstCurrently

1.03

0.49 – 2.14

.942

smokstPast

1.67

0.57 – 5.21

.356

alcconsWeekend

0.82

0.34 – 1.93

.652

alcconsOften

0.82

0.15 – 3.90

.800

marstatMarried

3.92

1.55 – 11.31

.006

marstatDivorced

1.38

0.29 – 6.18

.672

marstatWidow

4.20

0.99 – 19.71

.057

marstatOther

5665074.60

0.00 – NA

.986

eduSecondary

0.35

0.12 – 0.88

.032

eduUniversity

0.23

0.08 – 0.56

.002

eduOther

1692079.85

0.00 – NA

.989

Observations

212

209

208

206

208

207

208

207

Questionnaire exposures - table S6 - B

	status01			status01			status01			status01			status01			status01			status01			status01
	OR	CI	p	OR	CI	p	OR	CI	p	OR	CI	p	OR	CI	p	OR	CI	p	OR	CI	p	OR	CI	p
(Intercept)	1.05	0.71 – 1.56	.802	0.88	0.61 – 1.28	.515	1.25	0.79 – 2.04	.348	0.68	0.37 – 1.21	.192	1.55	0.59 – 4.16	.374	1.70	1.00 – 2.96	.055	1.16	0.66 – 2.07	.607	1.43	0.91 – 2.26	.123
country (RO)	1.21	0.69 – 2.13	.515	1.39	0.80 – 2.43	.248	1.14	0.62 – 2.09	.679	1.31	0.71 – 2.43	.396	1.26	0.60 – 2.65	.544	1.55	0.87 – 2.76	.137	1.56	0.89 – 2.78	.124	1.36	0.76 – 2.44	.297
daily20lglass	0.87	0.73 – 1.01	.086
MwaveFrw				1.01	0.87 – 1.17	.882
weekPORTIONScanned							0.85	0.73 – 0.96	.018
weekMINScleaning										1.00	1.00 – 1.00	.249
weekPORTIONSpcps													0.99	0.98 – 1.00	.257
perfwc																0.87	0.80 – 0.95	.001
weekPORTIONSdeo																			0.94	0.87 – 1.02	.169
weekPORTIONScosm																						0.96	0.94 – 0.98	.001
Observations	209			208			193			185			168			207			200			202

Hormone levels and iodine - table S6 - B

	status01			status01			status01
	OR	CI	p	OR	CI	p	OR	CI	p
(Intercept)	1.08	0.73 – 1.61	.688	1.62	0.01 – 272.73	.853	2.35	0.72 – 8.04	.163
country (RO)	1.49	0.85 – 2.63	.166	1.46	0.80 – 2.67	.219	1.41	0.81 – 2.48	.231
ln_tsh	0.55	0.34 – 0.86	.010
ln_ft4				0.78	0.10 – 5.70	.802
ln_iod_ugPERlt_spot							0.80	0.61 – 1.04	.097
Observations	212			210			208

BPF, BPA and ClxBPA - table S7

	status01			status01			status01
	OR	CI	p	OR	CI	p	OR	CI	p
(Intercept)	70.67	6.36 – 957.34	.001	1.13	0.20 – 6.60	.888	7.69	0.01 – 8670.21	.554
country (RO)	2.28	1.19 – 4.49	.015	1.27	0.73 – 2.22	.406	1.34	0.75 – 2.41	.322
ln_creat_gPERlt_spot	1.29	0.87 – 1.92	.206	0.97	0.67 – 1.39	.851	0.97	0.68 – 1.37	.847
ln_BPA_ngPERlt_spot	0.56	0.40 – 0.77	<.001
ln_BPF_ngPERlt_spot				0.96	0.74 – 1.25	.765
ln_ClxBPA_ngPERlt_spot							0.65	0.16 – 2.44	.527
Observations	206			206			206

4.2.2 Table 3

BPF, BPA and ClxBPA - table 3 - crude estimates

status01

OR

CI

p

OR

CI

p

OR

CI

p

(Intercept)

22.64

2.54 – 237.69

.007

1.30

0.24 – 7.37

.761

3.39

0.00 – 2788.32

.713

ln_creat_gPERlt_spot

1.21

0.83 – 1.79

.325

0.98

0.68 – 1.41

.919

0.97

0.69 – 1.38

.879

ln_BPA_ngPERlt_spot

0.67

0.50 – 0.88

.006

ln_BPF_ngPERlt_spot

0.96

0.73 – 1.24

.731

ln_ClxBPA_ngPERlt_spot

0.78

0.21 – 2.78

.706

Observations

206

(A1) Adjusted for: age, BMI, TSH, FT4 - table 3

	status01			status01			status01
	OR	CI	p	OR	CI	p	OR	CI	p
(Intercept)	0.36	0.00 – 124.19	.732	0.08	0.00 – 29.94	.406	0.09	0.00 – 895.49	.605
age	1.02	0.99 – 1.04	.270	1.02	0.99 – 1.05	.145	1.02	0.99 – 1.05	.148
BMI	1.08	1.02 – 1.16	.014	1.08	1.01 – 1.15	.019	1.08	1.01 – 1.15	.018
ln_tsh	0.48	0.28 – 0.81	.007	0.44	0.26 – 0.73	.002	0.44	0.26 – 0.73	.002
ln_ft4	1.26	0.15 – 10.56	.830	1.00	0.12 – 8.09	.997	1.01	0.13 – 8.13	.990
ln_creat_gPERlt_spot	1.27	0.84 – 1.94	.266	1.11	0.74 – 1.66	.613	1.10	0.75 – 1.63	.619
ln_BPA_ngPERlt_spot	0.76	0.56 – 1.03	.085
ln_BPF_ngPERlt_spot				0.98	0.73 – 1.31	.902
ln_ClxBPA_ngPERlt_spot							0.95	0.22 – 3.88	.941
Observations	198			198			198

(A2) Adjusted for: study site, age, BMI, TSH, FT4 - table 3

	status01			status01			status01
	OR	CI	p	OR	CI	p	OR	CI	p
(Intercept)	12.72	0.02 – 11825.67	.459	0.27	0.00 – 150.42	.687	1.77	0.00 – 62411.79	.913
country (RO)	2.38	1.11 – 5.26	.029	1.54	0.78 – 3.08	.217	1.62	0.80 – 3.35	.187
age	1.02	0.99 – 1.05	.166	1.02	1.00 – 1.05	.095	1.02	1.00 – 1.05	.095
BMI	1.07	1.01 – 1.15	.034	1.07	1.01 – 1.15	.032	1.07	1.01 – 1.15	.030
ln_tsh	0.48	0.27 – 0.80	.007	0.43	0.25 – 0.71	.002	0.43	0.25 – 0.71	.002
ln_ft4	0.47	0.04 – 4.76	.520	0.58	0.06 – 5.55	.633	0.54	0.05 – 5.31	.599
ln_creat_gPERlt_spot	1.34	0.88 – 2.08	.180	1.09	0.72 – 1.64	.683	1.10	0.74 – 1.63	.636
ln_BPA_ngPERlt_spot	0.65	0.46 – 0.91	.014
ln_BPF_ngPERlt_spot				0.99	0.74 – 1.32	.939
ln_ClxBPA_ngPERlt_spot							0.70	0.14 – 3.09	.647
Observations	198			198			198

(B1) Adjusted for: age, BMI, TSH, FT4, spot iodine (ΞΌg/L) - table 3

	status01			status01			status01
	OR	CI	p	OR	CI	p	OR	CI	p
(Intercept)	1.25	0.00 – 606.31	.942	0.51	0.00 – 305.50	.836	0.29	0.00 – 3440.14	.795
age	1.02	0.99 – 1.05	.201	1.02	1.00 – 1.05	.105	1.02	1.00 – 1.05	.104
BMI	1.08	1.02 – 1.16	.017	1.08	1.01 – 1.15	.022	1.08	1.01 – 1.15	.022
ln_tsh	0.50	0.29 – 0.83	.009	0.46	0.27 – 0.77	.004	0.46	0.27 – 0.77	.004
ln_ft4	1.10	0.13 – 9.29	.931	0.89	0.11 – 7.23	.910	0.90	0.11 – 7.27	.919
ln_iod_ugPERlt_spot	0.76	0.49 – 1.15	.196	0.71	0.47 – 1.07	.107	0.71	0.47 – 1.07	.108
ln_creat_gPERlt_spot	1.62	0.93 – 2.87	.093	1.54	0.88 – 2.75	.138	1.52	0.88 – 2.68	.139
ln_BPA_ngPERlt_spot	0.80	0.58 – 1.08	.148
ln_BPF_ngPERlt_spot				0.98	0.73 – 1.30	.867
ln_ClxBPA_ngPERlt_spot							1.07	0.24 – 4.47	.924
Observations	198			198			198

(B2) Adjusted for: study site age, BMI, TSH, FT4, spot iodine (ΞΌg/L) - table 3

	status01			status01			status01
	OR	CI	p	OR	CI	p	OR	CI	p
(Intercept)	62.23	0.05 – 91559.40	.258	2.85	0.00 – 2940.48	.766	9.67	0.00 – 462152.40	.671
country (RO)	2.46	1.14 – 5.50	.025	1.67	0.83 – 3.40	.151	1.73	0.84 – 3.63	.141
age	1.02	0.99 – 1.05	.115	1.03	1.00 – 1.06	.059	1.03	1.00 – 1.06	.060
BMI	1.07	1.00 – 1.15	.042	1.07	1.00 – 1.14	.042	1.07	1.00 – 1.15	.040
ln_tsh	0.49	0.28 – 0.83	.010	0.45	0.26 – 0.75	.003	0.45	0.26 – 0.75	.003
ln_ft4	0.37	0.03 – 3.93	.413	0.44	0.04 – 4.44	.489	0.43	0.04 – 4.33	.473
ln_iod_ugPERlt_spot	0.74	0.48 – 1.12	.163	0.69	0.45 – 1.03	.077	0.69	0.45 – 1.04	.083
ln_creat_gPERlt_spot	1.75	1.00 – 3.14	.056	1.56	0.89 – 2.81	.129	1.55	0.90 – 2.75	.121
ln_BPA_ngPERlt_spot	0.67	0.47 – 0.94	.025
ln_BPF_ngPERlt_spot				0.98	0.73 – 1.31	.900
ln_ClxBPA_ngPERlt_spot							0.77	0.15 – 3.47	.744
Observations	198			198			198

4.2.3 Table S8

(A1) Adjusted for: age, BMI, TSH, FT4 - table S8 - BPA

	status01
	OR	CI	p
(Intercept)	0.07	0.00 – 34.86	.401
age	1.02	0.99 – 1.05	.197
BMI	1.07	1.00 – 1.15	.045
ln_tsh	0.51	0.30 – 0.86	.015
ln_ft4	1.66	0.19 – 15.00	.646
ln_creat_gPERlt_spot	1.13	0.72 – 1.76	.596
ln_BPA_ngPERlt_spot	0.88	0.58 – 1.33	.553
Observations	177

(A2) Adjusted for: study site, age, BMI, TSH, FT4 - table S8 - BPA

	status01
	OR	CI	p
(Intercept)	3.52	0.00 – 4918.44	.731
country (RO)	2.52	1.17 – 5.62	.020
age	1.02	0.99 – 1.05	.110
BMI	1.06	0.99 – 1.14	.100
ln_tsh	0.50	0.28 – 0.85	.013
ln_ft4	0.57	0.05 – 6.31	.648
ln_creat_gPERlt_spot	1.20	0.76 – 1.90	.433
ln_BPA_ngPERlt_spot	0.73	0.46 – 1.14	.166
Observations	177

(B1) Adjusted for: age, BMI, TSH, FT4, spot iodine (ΞΌg/L) - table S8 - BPA

	status01
	OR	CI	p
(Intercept)	0.21	0.00 – 150.72	.638
age	1.02	0.99 – 1.05	.156
BMI	1.07	1.00 – 1.15	.049
ln_tsh	0.53	0.30 – 0.89	.020
ln_ft4	1.45	0.16 – 13.23	.740
ln_iod_ugPERlt_spot	0.78	0.50 – 1.21	.277
ln_creat_gPERlt_spot	1.39	0.78 – 2.51	.270
ln_BPA_ngPERlt_spot	0.92	0.60 – 1.40	.690
Observations	177

(B2) Adjusted for: study site age, BMI, TSH, FT4, spot iodine (ΞΌg/L) - table S8 - BPA

	status01
	OR	CI	p
(Intercept)	14.85	0.01 – 34180.50	.488
country (RO)	2.60	1.19 – 5.85	.018
age	1.03	1.00 – 1.06	.082
BMI	1.06	0.99 – 1.13	.112
ln_tsh	0.52	0.29 – 0.88	.019
ln_ft4	0.46	0.04 – 5.25	.532
ln_iod_ugPERlt_spot	0.77	0.49 – 1.18	.237
ln_creat_gPERlt_spot	1.51	0.84 – 2.76	.176
ln_BPA_ngPERlt_spot	0.76	0.48 – 1.18	.223
Observations	177

(A1) Adjusted for: age, BMI, TSH, FT4 - table S8 - BPF

	status01
	OR	CI	p
(Intercept)	0.02	0.00 – 17.83	.254
age	1.03	1.00 – 1.06	.088
BMI	1.05	0.98 – 1.13	.175
ln_tsh	0.48	0.27 – 0.82	.009
ln_ft4	0.95	0.10 – 9.09	.967
ln_creat_gPERlt_spot	1.14	0.74 – 1.76	.552
ln_BPF_ngPERlt_spot	1.39	0.82 – 2.38	.222
Observations	177

(A2) Adjusted for: study site, age, BMI, TSH, FT4 - table S8 - BPF

	status01
	OR	CI	p
(Intercept)	0.06	0.00 – 91.57	.457
country (RO)	1.69	0.81 – 3.57	.164
age	1.03	1.00 – 1.06	.053
BMI	1.04	0.97 – 1.12	.253
ln_tsh	0.47	0.27 – 0.80	.007
ln_ft4	0.51	0.04 – 5.74	.582
ln_creat_gPERlt_spot	1.09	0.71 – 1.70	.689
ln_BPF_ngPERlt_spot	1.42	0.84 – 2.44	.200
Observations	177

(B1) Adjusted for: age, BMI, TSH, FT4, spot iodine (ΞΌg/L) - table S8 - BPF

	status01
	OR	CI	p
(Intercept)	0.10	0.00 – 163.16	.546
age	1.03	1.00 – 1.06	.061
BMI	1.05	0.98 – 1.13	.197
ln_tsh	0.50	0.29 – 0.86	.014
ln_ft4	0.85	0.09 – 8.31	.891
ln_iod_ugPERlt_spot	0.69	0.45 – 1.05	.090
ln_creat_gPERlt_spot	1.64	0.90 – 3.06	.110
ln_BPF_ngPERlt_spot	1.41	0.84 – 2.43	.203
Observations	177

(B2) Adjusted for: study site age, BMI, TSH, FT4, spot iodine (ΞΌg/L) - table S8 - BPF

	status01
	OR	CI	p
(Intercept)	0.61	0.00 – 1515.15	.902
country (RO)	1.83	0.87 – 3.95	.115
age	1.03	1.00 – 1.07	.031
BMI	1.04	0.97 – 1.12	.298
ln_tsh	0.49	0.28 – 0.84	.012
ln_ft4	0.39	0.03 – 4.69	.462
ln_iod_ugPERlt_spot	0.67	0.43 – 1.02	.064
ln_creat_gPERlt_spot	1.62	0.89 – 3.04	.119
ln_BPF_ngPERlt_spot	1.44	0.85 – 2.50	.179
Observations	177

(A1) Adjusted for: age, BMI, TSH, FT4 - table S8 - ClxBPA

	status01
	OR	CI	p
(Intercept)	2.08	0.00 – 379132.11	.905
age	1.02	0.99 – 1.05	.308
BMI	1.09	1.02 – 1.17	.013
ln_tsh	0.49	0.28 – 0.83	.010
ln_ft4	1.26	0.15 – 11.03	.835
ln_creat_gPERlt_spot	1.19	0.80 – 1.79	.390
ln_ClxBPA_ngPERlt_spot	0.46	0.05 – 3.95	.481
Observations	179

(A2) Adjusted for: study site, age, BMI, TSH, FT4 - table S8 - ClxBPA

	status01
	OR	CI	p
(Intercept)	258.19	0.00 – 372265383.87	.435
country (RO)	1.74	0.81 – 3.82	.161
age	1.02	0.99 – 1.05	.214
BMI	1.08	1.01 – 1.16	.021
ln_tsh	0.48	0.27 – 0.81	.008
ln_ft4	0.61	0.05 – 6.72	.690
ln_creat_gPERlt_spot	1.19	0.79 – 1.79	.407
ln_ClxBPA_ngPERlt_spot	0.24	0.02 – 2.52	.242
Observations	179

(B1) Adjusted for: age, BMI, TSH, FT4, spot iodine (ΞΌg/L) - table S8 - ClxBPA

	status01
	OR	CI	p
(Intercept)	4.81	0.00 – 1018480.46	.800
age	1.02	0.99 – 1.05	.215
BMI	1.09	1.02 – 1.17	.014
ln_tsh	0.52	0.30 – 0.88	.017
ln_ft4	1.06	0.12 – 9.42	.955
ln_iod_ugPERlt_spot	0.68	0.43 – 1.04	.082
ln_creat_gPERlt_spot	1.73	0.97 – 3.19	.068
ln_ClxBPA_ngPERlt_spot	0.59	0.06 – 5.26	.635
Observations	179

(B2) Adjusted for: study site age, BMI, TSH, FT4, spot iodine (ΞΌg/L) - table S8 - ClxBPA

	status01
	OR	CI	p
(Intercept)	1604.53	0.00 – 3418234838.35	.310
country (RO)	1.92	0.88 – 4.32	.108
age	1.02	0.99 – 1.06	.129
BMI	1.08	1.01 – 1.16	.027
ln_tsh	0.51	0.29 – 0.86	.014
ln_ft4	0.44	0.04 – 5.03	.509
ln_iod_ugPERlt_spot	0.65	0.41 – 1.00	.057
ln_creat_gPERlt_spot	1.79	1.00 – 3.33	.055
ln_ClxBPA_ngPERlt_spot	0.29	0.02 – 3.07	.308
Observations	179

5 Determinants of exposure by compound in the whole study population

5.0.1 Table 2

**Determinants of BPA exposure - linear regression analysis (table 2 - BPA - model 1**

	Pooled population - questionnaire exposures

	Spot BPA (ng/L creatinine, log transformed)
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)

ln_creat_gPERlt_spot	0.593 (0.413, 0.774)	0.606 (0.423, 0.790)	0.566 (0.377, 0.755)	0.566 (0.368, 0.763)	0.584 (0.383, 0.785)	0.591 (0.407, 0.776)	0.590 (0.404, 0.777)	0.597 (0.410, 0.784)
	p = 0.000	p = 0.000	p = 0.00000	p = 0.00000	p = 0.00000	p = 0.000	p = 0.000	p = 0.000
daily20lglass	0.038 (-0.036, 0.111)
	p = 0.315
MwaveFrw		-0.049 (-0.125, 0.027)
		p = 0.208
weekPORTIONScanned			-0.015 (-0.070, 0.039)
			p = 0.579
weekMINScleaning				-0.001 (-0.002, -0.001)
				p = 0.0004
weekPORTIONSpcps					-0.003 (-0.007, 0.002)
					p = 0.219
perfwc						0.006 (-0.036, 0.047)
						p = 0.785
weekPORTIONSdeo							0.034 (-0.010, 0.078)
							p = 0.128
weekPORTIONScosm								0.009 (-0.002, 0.020)
								p = 0.129
Constant	7.936 (7.771, 8.102)	8.008 (7.843, 8.172)	7.969 (7.772, 8.166)	8.321 (8.054, 8.587)	8.134 (7.757, 8.511)	7.926 (7.666, 8.186)	7.789 (7.497, 8.081)	7.857 (7.643, 8.071)
	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000

Observations	203	202	188	179	164	201	194	196
R²	0.177	0.175	0.163	0.203	0.170	0.167	0.173	0.177
Adjusted R²	0.169	0.167	0.153	0.194	0.159	0.158	0.164	0.169
Residual Std. Error	1.061 (df = 200)	1.062 (df = 199)	1.070 (df = 185)	1.067 (df = 176)	1.059 (df = 161)	1.065 (df = 198)	1.063 (df = 191)	1.073 (df = 193)
F Statistic	21.568^*** (df = 2; 200)	21.093^*** (df = 2; 199)	17.950^*** (df = 2; 185)	22.354^*** (df = 2; 176)	16.461^*** (df = 2; 161)	19.780^*** (df = 2; 198)	19.911^*** (df = 2; 191)	20.805^*** (df = 2; 193)

Note:	p<0.1; p<0.05; p<0.01

**Determinants of BPA exposure - linear regression analysis (Table 2 - BPA - model 2**

	Pooled population - questionnaire exposures (adj. for study site, disease status, age, BMI

	Spot BPA (ng/L, log transformed)
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)

ln_creat_gPERlt_spot	0.495 (0.330, 0.660)	0.501 (0.333, 0.669)	0.452 (0.275, 0.629)	0.429 (0.247, 0.611)	0.410 (0.216, 0.603)	0.464 (0.292, 0.635)	0.471 (0.296, 0.647)	0.505 (0.332, 0.679)
	p = 0.00000	p = 0.00000	p = 0.00001	p = 0.00001	p = 0.0001	p = 0.00000	p = 0.00000	p = 0.00000
countryRO	1.056 (0.776, 1.336)	1.009 (0.731, 1.286)	0.999 (0.707, 1.290)	1.104 (0.800, 1.409)	1.235 (0.873, 1.598)	1.026 (0.750, 1.303)	1.004 (0.720, 1.288)	1.019 (0.738, 1.301)
	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000
status011	-0.389 (-0.656, -0.122)	-0.432 (-0.699, -0.164)	-0.410 (-0.697, -0.123)	-0.458 (-0.740, -0.176)	-0.428 (-0.725, -0.132)	-0.476 (-0.747, -0.206)	-0.475 (-0.751, -0.199)	-0.431 (-0.709, -0.153)
	p = 0.005	p = 0.002	p = 0.006	p = 0.002	p = 0.006	p = 0.001	p = 0.001	p = 0.003
age	-0.006 (-0.018, 0.006)	-0.007 (-0.019, 0.006)	-0.009 (-0.021, 0.004)	-0.003 (-0.016, 0.009)	-0.005 (-0.019, 0.008)	-0.008 (-0.021, 0.004)	-0.004 (-0.017, 0.008)	-0.005 (-0.018, 0.008)
	p = 0.320	p = 0.292	p = 0.188	p = 0.608	p = 0.433	p = 0.195	p = 0.503	p = 0.473
BMI	-0.002 (-0.029, 0.025)	0.002 (-0.025, 0.029)	0.003 (-0.027, 0.033)	-0.006 (-0.035, 0.022)	-0.001 (-0.032, 0.030)	-0.002 (-0.029, 0.025)	-0.002 (-0.030, 0.026)	0.004 (-0.025, 0.032)
	p = 0.903	p = 0.886	p = 0.854	p = 0.675	p = 0.958	p = 0.894	p = 0.883	p = 0.807
daily20lglass	0.075 (0.002, 0.147)
	p = 0.046
MwaveFrw		-0.031 (-0.101, 0.039)
		p = 0.386
weekPORTIONScanned			-0.013 (-0.063, 0.036)
			p = 0.598
weekMINScleaning				-0.001 (-0.001, 0.0001)
				p = 0.098
weekPORTIONSpcps					0.005 (0.001, 0.010)
					p = 0.030
perfwc						-0.024 (-0.064, 0.015)
						p = 0.226
weekPORTIONSdeo							0.013 (-0.027, 0.053)
							p = 0.532
weekPORTIONScosm								0.003 (-0.008, 0.014)
								p = 0.599
Constant	7.978 (7.281, 8.674)	8.036 (7.336, 8.736)	8.099 (7.328, 8.871)	8.203 (7.451, 8.955)	7.523 (6.557, 8.490)	8.326 (7.501, 9.150)	7.961 (7.146, 8.777)	7.852 (6.971, 8.732)
	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000

Observations	198	197	183	175	159	196	189	191
R²	0.401	0.394	0.377	0.418	0.386	0.391	0.381	0.388
Adjusted R²	0.382	0.375	0.356	0.397	0.362	0.372	0.361	0.368
Residual Std. Error	0.922 (df = 191)	0.927 (df = 190)	0.941 (df = 176)	0.927 (df = 168)	0.931 (df = 152)	0.927 (df = 189)	0.937 (df = 182)	0.943 (df = 184)
F Statistic	21.289^*** (df = 6; 191)	20.600^*** (df = 6; 190)	17.739^*** (df = 6; 176)	20.103^*** (df = 6; 168)	15.926^*** (df = 6; 152)	20.246^*** (df = 6; 189)	18.689^*** (df = 6; 182)	19.402^*** (df = 6; 184)

Note:	p<0.1; p<0.05; p<0.01

5.1 Table S5

**5to95 - Determinants of BPA exposure - linear regression analysis - Table S5 - BPA**

	Pooled population - questionnaire exposures (adj. for study site, disease status, age, BMI

	Spot BPA (ng/L, log transformed)
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)

ln_creat_gPERlt_spot	0.467 (0.334, 0.600)	0.468 (0.333, 0.603)	0.437 (0.295, 0.579)	0.401 (0.255, 0.547)	0.396 (0.252, 0.541)	0.451 (0.312, 0.590)	0.450 (0.308, 0.591)	0.478 (0.338, 0.617)
	p = 0.000	p = 0.000	p = 0.000	p = 0.00000	p = 0.00000	p = 0.000	p = 0.000	p = 0.000
countryRO	0.681 (0.450, 0.912)	0.644 (0.416, 0.872)	0.619 (0.382, 0.856)	0.707 (0.460, 0.955)	0.712 (0.433, 0.992)	0.639 (0.410, 0.868)	0.619 (0.386, 0.853)	0.637 (0.407, 0.868)
	p = 0.00000	p = 0.00000	p = 0.00000	p = 0.00000	p = 0.00001	p = 0.00000	p = 0.00000	p = 0.00000
status011	-0.185 (-0.404, 0.033)	-0.220 (-0.440, 0.0002)	-0.228 (-0.461, 0.005)	-0.258 (-0.488, -0.029)	-0.186 (-0.412, 0.039)	-0.242 (-0.467, -0.017)	-0.230 (-0.458, -0.003)	-0.205 (-0.434, 0.025)
	p = 0.099	p = 0.052	p = 0.058	p = 0.029	p = 0.108	p = 0.037	p = 0.050	p = 0.082
age	-0.002 (-0.012, 0.008)	-0.002 (-0.012, 0.008)	-0.002 (-0.013, 0.008)	-0.00002 (-0.010, 0.010)	0.001 (-0.010, 0.011)	-0.002 (-0.013, 0.008)	-0.001 (-0.011, 0.010)	0.001 (-0.010, 0.012)
	p = 0.670	p = 0.670	p = 0.655	p = 0.998	p = 0.906	p = 0.668	p = 0.881	p = 0.860
BMI	-0.001 (-0.023, 0.021)	0.002 (-0.020, 0.024)	0.007 (-0.017, 0.030)	-0.005 (-0.028, 0.018)	0.002 (-0.021, 0.025)	0.001 (-0.021, 0.023)	0.00005 (-0.022, 0.022)	0.005 (-0.018, 0.027)
	p = 0.910	p = 0.838	p = 0.587	p = 0.671	p = 0.890	p = 0.956	p = 0.997	p = 0.694
daily20lglass	0.056 (-0.002, 0.114)
	p = 0.062
MwaveFrw		-0.022 (-0.077, 0.032)
		p = 0.426
weekPORTIONScanned			-0.004 (-0.043, 0.035)
			p = 0.844
weekMINScleaning				-0.0003 (-0.001, 0.0002)
				p = 0.295
weekPORTIONSpcps					0.004 (0.001, 0.008)
					p = 0.020
perfwc						-0.006 (-0.038, 0.026)
						p = 0.708
weekPORTIONSdeo							0.008 (-0.025, 0.040)
							p = 0.634
weekPORTIONScosm								0.007 (-0.003, 0.016)
								p = 0.164
Constant	7.779 (7.218, 8.339)	7.793 (7.228, 8.359)	7.672 (7.054, 8.290)	7.909 (7.306, 8.513)	7.234 (6.519, 7.950)	7.853 (7.191, 8.515)	7.733 (7.071, 8.395)	7.473 (6.779, 8.167)
	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000

Observations	177	176	164	154	140	175	169	170
R²	0.373	0.365	0.341	0.366	0.362	0.353	0.343	0.360
Adjusted R²	0.351	0.342	0.316	0.340	0.334	0.330	0.319	0.336
Residual Std. Error	0.712 (df = 170)	0.716 (df = 169)	0.722 (df = 157)	0.704 (df = 147)	0.653 (df = 133)	0.718 (df = 168)	0.723 (df = 162)	0.726 (df = 163)
F Statistic	16.883^*** (df = 6; 170)	16.166^*** (df = 6; 169)	13.530^*** (df = 6; 157)	14.118^*** (df = 6; 147)	12.595^*** (df = 6; 133)	15.252^*** (df = 6; 168)	14.118^*** (df = 6; 162)	15.260^*** (df = 6; 163)

Note:	p<0.1; p<0.05; p<0.01

**Determinants of BPF exposure - linear regression analysis (Table 2 - BPF - model 1)**

	Pooled population - questionnaire exposures

	Spot BPF (ng/L creatinine, log transformed)
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)

ln_creat_gPERlt_spot	0.451 (0.271, 0.632)	0.401 (0.223, 0.579)	0.386 (0.201, 0.571)	0.519 (0.331, 0.707)	0.408 (0.213, 0.602)	0.431 (0.248, 0.614)	0.429 (0.241, 0.617)	0.464 (0.278, 0.650)
	p = 0.00001	p = 0.00002	p = 0.0001	p = 0.00000	p = 0.0001	p = 0.00001	p = 0.00002	p = 0.00001
daily20lglass	0.005 (-0.068, 0.078)
	p = 0.886
MwaveFrw		0.124 (0.050, 0.198)
		p = 0.002
weekPORTIONScanned			-0.006 (-0.059, 0.047)
			p = 0.821
weekMINScleaning				0.00001 (-0.001, 0.001)
				p = 0.966
weekPORTIONSpcps					0.002 (-0.002, 0.006)
					p = 0.375
perfwc						-0.014 (-0.055, 0.027)
						p = 0.502
weekPORTIONSdeo							0.006 (-0.039, 0.050)
							p = 0.806
weekPORTIONScosm								-0.0001 (-0.011, 0.011)
								p = 0.983
Constant	6.414 (6.248, 6.579)	6.342 (6.182, 6.502)	6.411 (6.218, 6.604)	6.441 (6.187, 6.696)	6.294 (5.929, 6.659)	6.505 (6.248, 6.762)	6.416 (6.122, 6.710)	6.451 (6.239, 6.663)
	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000

Observations	203	202	188	179	164	201	194	196
R²	0.108	0.151	0.085	0.143	0.103	0.098	0.095	0.110
Adjusted R²	0.099	0.142	0.075	0.133	0.092	0.089	0.085	0.101
Residual Std. Error	1.060 (df = 200)	1.032 (df = 199)	1.045 (df = 185)	1.018 (df = 176)	1.023 (df = 161)	1.055 (df = 198)	1.071 (df = 191)	1.064 (df = 193)
F Statistic	12.064^*** (df = 2; 200)	17.672^*** (df = 2; 199)	8.622^*** (df = 2; 185)	14.624^*** (df = 2; 176)	9.241^*** (df = 2; 161)	10.800^*** (df = 2; 198)	9.975^*** (df = 2; 191)	11.966^*** (df = 2; 193)

Note:	p<0.1; p<0.05; p<0.01

**Determinants of BPF exposure - linear regression analysis (Table 2 - BPF - model 2)**

	Pooled population - questionnaire exposures (adj. for study site, disease status, age, BMI

	Spot BPF (ng/L, log transformed)
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)

ln_creat_gPERlt_spot	0.448 (0.255, 0.642)	0.400 (0.210, 0.590)	0.380 (0.179, 0.581)	0.494 (0.291, 0.697)	0.385 (0.167, 0.603)	0.411 (0.212, 0.610)	0.422 (0.217, 0.626)	0.454 (0.254, 0.654)
	p = 0.00001	p = 0.0001	p = 0.0003	p = 0.00001	p = 0.001	p = 0.0001	p = 0.0001	p = 0.00002
countryRO	-0.073 (-0.401, 0.255)	0.024 (-0.290, 0.338)	-0.102 (-0.434, 0.229)	-0.035 (-0.374, 0.304)	0.036 (-0.372, 0.445)	-0.013 (-0.333, 0.308)	-0.043 (-0.373, 0.288)	-0.041 (-0.366, 0.283)
	p = 0.662	p = 0.882	p = 0.545	p = 0.840	p = 0.863	p = 0.938	p = 0.800	p = 0.804
status011	-0.025 (-0.338, 0.288)	-0.051 (-0.353, 0.252)	-0.043 (-0.369, 0.283)	-0.090 (-0.404, 0.224)	0.015 (-0.319, 0.349)	-0.097 (-0.411, 0.216)	-0.068 (-0.389, 0.254)	-0.035 (-0.356, 0.286)
	p = 0.876	p = 0.743	p = 0.798	p = 0.577	p = 0.932	p = 0.544	p = 0.680	p = 0.830
age	-0.00000 (-0.014, 0.014)	0.006 (-0.008, 0.020)	0.0003 (-0.014, 0.015)	-0.002 (-0.017, 0.012)	0.001 (-0.014, 0.016)	-0.001 (-0.016, 0.013)	0.001 (-0.014, 0.016)	-0.002 (-0.018, 0.013)
	p = 1.000	p = 0.410	p = 0.967	p = 0.759	p = 0.910	p = 0.847	p = 0.888	p = 0.761
BMI	-0.011 (-0.043, 0.021)	-0.018 (-0.049, 0.012)	-0.011 (-0.045, 0.023)	-0.019 (-0.051, 0.013)	-0.021 (-0.056, 0.014)	-0.016 (-0.047, 0.016)	-0.017 (-0.050, 0.015)	-0.007 (-0.039, 0.026)
	p = 0.489	p = 0.242	p = 0.530	p = 0.244	p = 0.247	p = 0.329	p = 0.293	p = 0.694
daily20lglass	0.001 (-0.085, 0.086)
	p = 0.989
MwaveFrw		0.142 (0.062, 0.221)
		p = 0.001
weekPORTIONScanned			-0.008 (-0.065, 0.048)
			p = 0.776
weekMINScleaning				0.0001 (-0.001, 0.001)
				p = 0.821
weekPORTIONSpcps					0.002 (-0.004, 0.007)
					p = 0.542
perfwc						-0.024 (-0.069, 0.022)
						p = 0.310
weekPORTIONSdeo							0.004 (-0.043, 0.052)
							p = 0.854
weekPORTIONScosm								-0.002 (-0.015, 0.011)
								p = 0.752
Constant	6.751 (5.934, 7.569)	6.540 (5.748, 7.333)	6.738 (5.863, 7.614)	7.066 (6.228, 7.904)	6.780 (5.692, 7.867)	7.080 (6.126, 8.035)	6.873 (5.923, 7.823)	6.796 (5.781, 7.811)
	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000

Observations	198	197	183	175	159	196	189	191
R²	0.109	0.160	0.088	0.154	0.108	0.105	0.101	0.110
Adjusted R²	0.081	0.134	0.056	0.124	0.073	0.077	0.071	0.081
Residual Std. Error	1.081 (df = 191)	1.049 (df = 190)	1.067 (df = 176)	1.033 (df = 168)	1.048 (df = 152)	1.073 (df = 189)	1.091 (df = 182)	1.087 (df = 184)
F Statistic	3.906^*** (df = 6; 191)	6.042^*** (df = 6; 190)	2.814^** (df = 6; 176)	5.093^*** (df = 6; 168)	3.080^*** (df = 6; 152)	3.711^*** (df = 6; 189)	3.400^*** (df = 6; 182)	3.791^*** (df = 6; 184)

Note:	p<0.1; p<0.05; p<0.01

**5to95 - Determinants of BPF exposure - linear regression analysis - Table S5 - BPF**

	Pooled population - questionnaire exposures (adj. for study site, disease status, age, BMI

	Spot BPF (ng/L, log transformed)
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)

ln_creat_gPERlt_spot	0.240 (0.118, 0.363)	0.232 (0.109, 0.354)	0.225 (0.106, 0.345)	0.259 (0.140, 0.379)	0.226 (0.095, 0.357)	0.235 (0.112, 0.357)	0.240 (0.114, 0.366)	0.248 (0.121, 0.375)
	p = 0.0002	p = 0.0003	p = 0.0003	p = 0.00004	p = 0.001	p = 0.0003	p = 0.0003	p = 0.0002
countryRO	-0.055 (-0.260, 0.149)	-0.040 (-0.241, 0.160)	-0.105 (-0.304, 0.095)	0.018 (-0.188, 0.224)	0.090 (-0.156, 0.336)	-0.037 (-0.237, 0.164)	-0.063 (-0.269, 0.142)	-0.055 (-0.257, 0.148)
	p = 0.596	p = 0.694	p = 0.306	p = 0.864	p = 0.477	p = 0.720	p = 0.547	p = 0.600
status011	0.153 (-0.032, 0.338)	0.110 (-0.074, 0.294)	0.114 (-0.072, 0.300)	0.163 (-0.019, 0.346)	0.097 (-0.099, 0.292)	0.087 (-0.099, 0.272)	0.105 (-0.085, 0.295)	0.110 (-0.080, 0.301)
	p = 0.108	p = 0.244	p = 0.231	p = 0.082	p = 0.333	p = 0.362	p = 0.282	p = 0.259
age	-0.002 (-0.011, 0.006)	-0.001 (-0.009, 0.008)	-0.001 (-0.009, 0.007)	-0.002 (-0.010, 0.007)	-0.0001 (-0.009, 0.009)	-0.003 (-0.011, 0.006)	-0.001 (-0.010, 0.008)	-0.005 (-0.014, 0.005)
	p = 0.596	p = 0.894	p = 0.803	p = 0.714	p = 0.986	p = 0.576	p = 0.826	p = 0.331
BMI	-0.007 (-0.027, 0.013)	-0.006 (-0.026, 0.014)	-0.011 (-0.032, 0.009)	-0.003 (-0.023, 0.016)	-0.012 (-0.034, 0.009)	-0.006 (-0.026, 0.013)	-0.008 (-0.028, 0.012)	-0.003 (-0.023, 0.017)
	p = 0.500	p = 0.559	p = 0.283	p = 0.744	p = 0.269	p = 0.533	p = 0.411	p = 0.775
daily20lglass	0.022 (-0.027, 0.071)
	p = 0.375
MwaveFrw		0.056 (-0.003, 0.115)
		p = 0.067
weekPORTIONScanned			0.017 (-0.015, 0.049)
			p = 0.305
weekMINScleaning				-0.00005 (-0.0005, 0.0004)
				p = 0.824
weekPORTIONSpcps					0.003 (-0.0003, 0.006)
					p = 0.079
perfwc						-0.012 (-0.039, 0.014)
						p = 0.369
weekPORTIONSdeo							0.006 (-0.022, 0.035)
							p = 0.672
weekPORTIONScosm								-0.004 (-0.012, 0.004)
								p = 0.344
Constant	6.469 (5.959, 6.979)	6.377 (5.869, 6.885)	6.523 (6.002, 7.044)	6.372 (5.873, 6.870)	6.301 (5.649, 6.953)	6.588 (6.018, 7.157)	6.484 (5.921, 7.047)	6.597 (5.947, 7.247)
	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000

Observations	177	176	165	158	144	176	169	171
R²	0.119	0.120	0.111	0.147	0.146	0.108	0.103	0.118
Adjusted R²	0.088	0.089	0.077	0.113	0.109	0.077	0.070	0.086
Residual Std. Error	0.611 (df = 170)	0.608 (df = 169)	0.584 (df = 158)	0.571 (df = 151)	0.586 (df = 137)	0.607 (df = 169)	0.614 (df = 162)	0.614 (df = 164)
F Statistic	3.833^*** (df = 6; 170)	3.852^*** (df = 6; 169)	3.280^*** (df = 6; 158)	4.326^*** (df = 6; 151)	3.911^*** (df = 6; 137)	3.425^*** (df = 6; 169)	3.108^*** (df = 6; 162)	3.668^*** (df = 6; 164)

Note:	p<0.1; p<0.05; p<0.01

**Determinants of ClxBPA exposure - linear regression analysis (Table 2 - ClxBPA - model 1)**

	Pooled population - questionnaire exposures

	Spot ClxBPA (ng/L creatinine, log transformed)
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)

ln_creat_gPERlt_spot	0.053 (0.015, 0.090)	0.057 (0.020, 0.094)	0.052 (0.012, 0.092)	0.053 (0.010, 0.095)	0.055 (0.012, 0.099)	0.052 (0.014, 0.090)	0.053 (0.014, 0.092)	0.054 (0.015, 0.093)
	p = 0.007	p = 0.003	p = 0.013	p = 0.016	p = 0.014	p = 0.009	p = 0.009	p = 0.007
daily20lglass	0.006 (-0.009, 0.021)
	p = 0.461
MwaveFrw		-0.021 (-0.036, -0.005)
		p = 0.009
weekPORTIONScanned			-0.002 (-0.014, 0.009)
			p = 0.700
weekMINScleaning				-0.00003 (-0.0002, 0.0001)
				p = 0.717
weekPORTIONSpcps					-0.0002 (-0.001, 0.001)
					p = 0.622
perfwc						0.003 (-0.005, 0.012)
						p = 0.462
weekPORTIONSdeo							0.001 (-0.008, 0.010)
							p = 0.851
weekPORTIONScosm								0.002 (0.0001, 0.005)
								p = 0.046
Constant	5.143 (5.109, 5.177)	5.156 (5.123, 5.189)	5.150 (5.108, 5.192)	5.155 (5.098, 5.213)	5.166 (5.084, 5.248)	5.127 (5.073, 5.181)	5.143 (5.082, 5.205)	5.116 (5.072, 5.160)
	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000

Observations	203	202	188	179	164	201	194	196
R²	0.041	0.066	0.036	0.033	0.037	0.038	0.036	0.057
Adjusted R²	0.031	0.057	0.025	0.022	0.025	0.028	0.026	0.048
Residual Std. Error	0.219 (df = 200)	0.213 (df = 199)	0.227 (df = 185)	0.230 (df = 176)	0.230 (df = 161)	0.221 (df = 198)	0.223 (df = 191)	0.221 (df = 193)
F Statistic	4.225^** (df = 2; 200)	7.063^*** (df = 2; 199)	3.407^** (df = 2; 185)	3.043^* (df = 2; 176)	3.128^** (df = 2; 161)	3.875^** (df = 2; 198)	3.547^** (df = 2; 191)	5.877^*** (df = 2; 193)

Note:	p<0.1; p<0.05; p<0.01

**Determinants of ClxBPA exposure - linear regression analysis (Table - ClxBPA - model 2)**

	Pooled population - questionnaire exposures (adj. for study site, disease status, age, BMI

	Spot ClxBPA (ng/L, log transformed)
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)

ln_creat_gPERlt_spot	0.037 (0.001, 0.074)	0.039 (0.002, 0.075)	0.037 (-0.003, 0.077)	0.032 (-0.010, 0.074)	0.028 (-0.016, 0.073)	0.036 (-0.003, 0.074)	0.036 (-0.004, 0.075)	0.043 (0.005, 0.081)
	p = 0.049	p = 0.039	p = 0.075	p = 0.139	p = 0.214	p = 0.071	p = 0.080	p = 0.027
countryRO	0.137 (0.076, 0.199)	0.125 (0.065, 0.185)	0.130 (0.063, 0.196)	0.130 (0.059, 0.200)	0.167 (0.083, 0.250)	0.126 (0.064, 0.188)	0.122 (0.058, 0.186)	0.130 (0.068, 0.191)
	p = 0.00003	p = 0.0001	p = 0.0002	p = 0.0005	p = 0.0002	p = 0.0001	p = 0.0003	p = 0.0001
status011	-0.018 (-0.077, 0.041)	-0.014 (-0.072, 0.044)	-0.017 (-0.082, 0.048)	-0.022 (-0.088, 0.043)	-0.018 (-0.086, 0.051)	-0.018 (-0.078, 0.043)	-0.017 (-0.079, 0.045)	-0.011 (-0.072, 0.050)
	p = 0.554	p = 0.634	p = 0.604	p = 0.504	p = 0.614	p = 0.563	p = 0.583	p = 0.723
age	0.00002 (-0.003, 0.003)	-0.001 (-0.003, 0.002)	-0.0003 (-0.003, 0.003)	-0.0002 (-0.003, 0.003)	-0.001 (-0.004, 0.003)	-0.00004 (-0.003, 0.003)	-0.0002 (-0.003, 0.003)	0.001 (-0.002, 0.004)
	p = 0.987	p = 0.698	p = 0.853	p = 0.876	p = 0.724	p = 0.979	p = 0.915	p = 0.389
BMI	0.002 (-0.004, 0.008)	0.003 (-0.003, 0.008)	0.003 (-0.004, 0.010)	0.003 (-0.004, 0.009)	0.004 (-0.004, 0.011)	0.002 (-0.004, 0.008)	0.002 (-0.004, 0.008)	0.003 (-0.003, 0.009)
	p = 0.487	p = 0.379	p = 0.363	p = 0.449	p = 0.336	p = 0.456	p = 0.522	p = 0.310
daily20lglass	0.016 (-0.0002, 0.032)
	p = 0.055
MwaveFrw		-0.016 (-0.031, -0.001)
		p = 0.040
weekPORTIONScanned			-0.001 (-0.012, 0.011)
			p = 0.916
weekMINScleaning				-0.00004 (-0.0002, 0.0001)
				p = 0.615
weekPORTIONSpcps					0.001 (-0.0001, 0.002)
					p = 0.071
perfwc						0.001 (-0.007, 0.010)
						p = 0.741
weekPORTIONSdeo							0.0001 (-0.009, 0.009)
							p = 0.988
weekPORTIONScosm								0.003 (0.001, 0.006)
								p = 0.010
Constant	5.023 (4.868, 5.177)	5.056 (4.905, 5.207)	5.029 (4.854, 5.204)	5.057 (4.883, 5.232)	4.942 (4.719, 5.165)	5.027 (4.843, 5.211)	5.051 (4.868, 5.235)	4.903 (4.710, 5.095)
	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000

Observations	198	197	183	175	159	196	189	191
R²	0.137	0.146	0.117	0.117	0.127	0.117	0.109	0.149
Adjusted R²	0.110	0.119	0.087	0.086	0.092	0.089	0.079	0.121
Residual Std. Error	0.204 (df = 191)	0.200 (df = 190)	0.213 (df = 176)	0.215 (df = 168)	0.215 (df = 152)	0.207 (df = 189)	0.211 (df = 182)	0.206 (df = 184)
F Statistic	5.047^*** (df = 6; 191)	5.432^*** (df = 6; 190)	3.876^*** (df = 6; 176)	3.714^*** (df = 6; 168)	3.681^*** (df = 6; 152)	4.173^*** (df = 6; 189)	3.693^*** (df = 6; 182)	5.362^*** (df = 6; 184)

Note:	p<0.1; p<0.05; p<0.01

**5to95 - Determinants of ClxBPA exposure - linear regression analysis - Table S5 - ClxBPA**

	Pooled population - questionnaire exposures (adj. for study site, disease status, age, BMI

	Spot ClxBPA (ng/L, log transformed)
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)

ln_creat_gPERlt_spot	0.026 (0.001, 0.051)	0.030 (0.005, 0.056)	0.024 (-0.004, 0.051)	0.019 (-0.009, 0.048)	0.024 (-0.005, 0.052)	0.024 (-0.003, 0.050)	0.026 (-0.001, 0.054)	0.032 (0.005, 0.058)
	p = 0.043	p = 0.022	p = 0.092	p = 0.180	p = 0.109	p = 0.083	p = 0.061	p = 0.022
countryRO	0.123 (0.081, 0.166)	0.106 (0.064, 0.148)	0.107 (0.062, 0.153)	0.117 (0.069, 0.164)	0.106 (0.051, 0.161)	0.111 (0.068, 0.153)	0.105 (0.061, 0.149)	0.112 (0.069, 0.155)
	p = 0.00000	p = 0.00001	p = 0.00001	p = 0.00001	p = 0.0003	p = 0.00000	p = 0.00001	p = 0.00000
status011	-0.020 (-0.061, 0.021)	-0.024 (-0.065, 0.017)	-0.027 (-0.072, 0.018)	-0.036 (-0.081, 0.008)	-0.014 (-0.059, 0.031)	-0.025 (-0.066, 0.017)	-0.021 (-0.064, 0.022)	-0.023 (-0.066, 0.020)
	p = 0.335	p = 0.253	p = 0.242	p = 0.112	p = 0.540	p = 0.253	p = 0.336	p = 0.296
age	0.0003 (-0.002, 0.002)	-0.0003 (-0.002, 0.002)	-0.0001 (-0.002, 0.002)	-0.0005 (-0.003, 0.002)	-0.00000 (-0.002, 0.002)	-0.0003 (-0.002, 0.002)	0.0001 (-0.002, 0.002)	0.001 (-0.001, 0.003)
	p = 0.753	p = 0.780	p = 0.955	p = 0.643	p = 1.000	p = 0.806	p = 0.921	p = 0.463
BMI	-0.001 (-0.005, 0.003)	0.0003 (-0.004, 0.004)	0.0001 (-0.005, 0.005)	-0.001 (-0.005, 0.004)	-0.001 (-0.006, 0.003)	-0.0004 (-0.005, 0.004)	-0.001 (-0.005, 0.004)	-0.0001 (-0.004, 0.004)
	p = 0.710	p = 0.900	p = 0.971	p = 0.747	p = 0.571	p = 0.867	p = 0.808	p = 0.965
daily20lglass	0.013 (0.002, 0.024)
	p = 0.017
MwaveFrw		-0.010 (-0.021, 0.0004)
		p = 0.062
weekPORTIONScanned			-0.004 (-0.012, 0.004)
			p = 0.307
weekMINScleaning				0.00005 (-0.0001, 0.0001)
				p = 0.365
weekPORTIONSpcps					0.0001 (-0.001, 0.001)
					p = 0.720
perfwc						-0.002 (-0.008, 0.004)
						p = 0.564
weekPORTIONSdeo							0.002 (-0.004, 0.008)
							p = 0.538
weekPORTIONScosm								0.002 (-0.0002, 0.003)
								p = 0.092
Constant	5.069 (4.964, 5.174)	5.095 (4.989, 5.201)	5.093 (4.973, 5.213)	5.111 (4.994, 5.229)	5.098 (4.948, 5.248)	5.109 (4.979, 5.240)	5.080 (4.953, 5.207)	5.026 (4.890, 5.162)
	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000

Observations	180	179	164	157	143	177	170	172
R²	0.206	0.196	0.170	0.184	0.157	0.176	0.165	0.190
Adjusted R²	0.179	0.168	0.138	0.151	0.120	0.147	0.134	0.161
Residual Std. Error	0.134 (df = 173)	0.135 (df = 172)	0.140 (df = 157)	0.138 (df = 150)	0.134 (df = 136)	0.136 (df = 170)	0.138 (df = 163)	0.138 (df = 165)
F Statistic	7.490^*** (df = 6; 173)	6.987^*** (df = 6; 172)	5.358^*** (df = 6; 157)	5.634^*** (df = 6; 150)	4.216^*** (df = 6; 136)	6.072^*** (df = 6; 170)	5.371^*** (df = 6; 163)	6.460^*** (df = 6; 165)

Note:	p<0.1; p<0.05; p<0.01

5.2 Table S10 (additional table)

**Determinants of BPA exposure - linear regression analysis - Table S10 (additional)**

	Pooled population (CASES only) - questionnaire exposures (adj. for study site, disease status, age, BMI

	Spot BPA (ng/L, log transformed)
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)

ln_creat_gPERlt_spot	0.584 (0.374, 0.794)	0.576 (0.358, 0.794)	0.579 (0.352, 0.805)	0.562 (0.337, 0.787)	0.435 (0.206, 0.665)	0.599 (0.382, 0.815)	0.608 (0.387, 0.830)	0.615 (0.395, 0.836)
	p = 0.00000	p = 0.00001	p = 0.00001	p = 0.00001	p = 0.0004	p = 0.00000	p = 0.00000	p = 0.00000
countryRO	0.493 (0.161, 0.824)	0.444 (0.105, 0.782)	0.364 (0.006, 0.722)	0.344 (-0.026, 0.713)	0.759 (0.329, 1.190)	0.391 (0.055, 0.728)	0.367 (0.020, 0.714)	0.390 (0.048, 0.732)
	p = 0.005	p = 0.012	p = 0.050	p = 0.073	p = 0.001	p = 0.026	p = 0.042	p = 0.028
age	-0.006 (-0.020, 0.009)	-0.009 (-0.024, 0.006)	-0.011 (-0.027, 0.005)	-0.002 (-0.018, 0.013)	-0.007 (-0.023, 0.008)	-0.007 (-0.022, 0.008)	-0.007 (-0.023, 0.008)	-0.006 (-0.023, 0.010)
	p = 0.460	p = 0.249	p = 0.185	p = 0.765	p = 0.366	p = 0.355	p = 0.350	p = 0.450
BMI	0.012 (-0.016, 0.041)	0.011 (-0.019, 0.042)	0.019 (-0.013, 0.052)	0.006 (-0.024, 0.036)	0.012 (-0.021, 0.044)	0.013 (-0.016, 0.042)	0.014 (-0.016, 0.043)	0.018 (-0.013, 0.048)
	p = 0.406	p = 0.460	p = 0.251	p = 0.693	p = 0.488	p = 0.396	p = 0.366	p = 0.266
daily20lglass	0.143 (0.026, 0.261)
	p = 0.019
MwaveFrw		-0.004 (-0.101, 0.092)
		p = 0.928
weekPORTIONScanned			-0.026 (-0.100, 0.047)
			p = 0.485
weekMINScleaning				-0.001 (-0.002, -0.0002)
				p = 0.017
weekPORTIONSpcps					0.008 (0.003, 0.013)
					p = 0.003
perfwc						0.011 (-0.033, 0.055)
						p = 0.638
weekPORTIONSdeo							0.015 (-0.028, 0.059)
							p = 0.490
weekPORTIONScosm								0.008 (-0.007, 0.024)
								p = 0.292
Constant	7.430 (6.554, 8.307)	7.737 (6.864, 8.610)	7.687 (6.723, 8.650)	7.827 (6.925, 8.730)	6.867 (5.795, 7.939)	7.567 (6.608, 8.526)	7.538 (6.561, 8.515)	7.373 (6.292, 8.454)
	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000

Observations	100	99	89	84	83	99	95	96
R²	0.370	0.336	0.334	0.357	0.366	0.336	0.335	0.350
Adjusted R²	0.336	0.300	0.294	0.315	0.325	0.301	0.297	0.314
Residual Std. Error	0.777 (df = 94)	0.799 (df = 93)	0.806 (df = 83)	0.771 (df = 78)	0.748 (df = 77)	0.796 (df = 93)	0.805 (df = 89)	0.800 (df = 90)
F Statistic	11.023^*** (df = 5; 94)	9.411^*** (df = 5; 93)	8.315^*** (df = 5; 83)	8.647^*** (df = 5; 78)	8.904^*** (df = 5; 77)	9.430^*** (df = 5; 93)	8.951^*** (df = 5; 89)	9.701^*** (df = 5; 90)

Note:	p<0.1; p<0.05; p<0.01

**Determinants of BPA exposure - linear regression analysis - Table S10 (additional)**

	Pooled population (CONTROLS only) - questionnaire exposures (adj. for study site, disease status, age, BMI

	Spot BPA (ng/L, log transformed)
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)

ln_creat_gPERlt_spot	0.472 (0.234, 0.711)	0.468 (0.226, 0.710)	0.400 (0.147, 0.654)	0.366 (0.107, 0.625)	0.392 (0.101, 0.683)	0.372 (0.128, 0.616)	0.391 (0.133, 0.648)	0.473 (0.223, 0.724)
	p = 0.0002	p = 0.0003	p = 0.003	p = 0.007	p = 0.011	p = 0.004	p = 0.004	p = 0.0004
countryRO	1.639 (1.210, 2.067)	1.609 (1.173, 2.044)	1.607 (1.170, 2.043)	1.795 (1.356, 2.234)	1.688 (1.156, 2.221)	1.665 (1.258, 2.073)	1.645 (1.217, 2.073)	1.645 (1.221, 2.070)
	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.00000	p = 0.000	p = 0.000	p = 0.000
age	-0.003 (-0.021, 0.015)	-0.001 (-0.019, 0.017)	-0.003 (-0.021, 0.016)	-0.005 (-0.024, 0.013)	-0.005 (-0.026, 0.016)	-0.011 (-0.030, 0.008)	-0.002 (-0.021, 0.018)	-0.002 (-0.022, 0.018)
	p = 0.753	p = 0.916	p = 0.755	p = 0.570	p = 0.613	p = 0.253	p = 0.851	p = 0.837
BMI	-0.004 (-0.055, 0.047)	0.006 (-0.043, 0.054)	-0.005 (-0.057, 0.047)	-0.008 (-0.058, 0.042)	0.003 (-0.051, 0.057)	-0.0001 (-0.048, 0.048)	-0.004 (-0.055, 0.047)	0.006 (-0.044, 0.056)
	p = 0.889	p = 0.820	p = 0.855	p = 0.750	p = 0.921	p = 0.997	p = 0.888	p = 0.816
daily20lglass	0.071 (-0.023, 0.164)
	p = 0.142
MwaveFrw		-0.006 (-0.106, 0.094)
		p = 0.903
weekPORTIONScanned			0.0005 (-0.065, 0.066)
			p = 0.989
weekMINScleaning				-0.00002 (-0.001, 0.001)
				p = 0.965
weekPORTIONSpcps					-0.003 (-0.011, 0.005)
					p = 0.529
perfwc						-0.076 (-0.139, -0.013)
						p = 0.022
weekPORTIONSdeo							-0.008 (-0.080, 0.065)
							p = 0.838
weekPORTIONScosm								-0.001 (-0.016, 0.015)
								p = 0.920
Constant	7.644 (6.487, 8.801)	7.428 (6.244, 8.611)	7.760 (6.499, 9.022)	7.931 (6.728, 9.134)	7.904 (6.349, 9.460)	8.450 (7.115, 9.786)	7.743 (6.402, 9.085)	7.469 (6.105, 8.833)
	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000

Observations	98	98	94	91	76	97	94	95
R²	0.485	0.480	0.464	0.522	0.504	0.514	0.476	0.478
Adjusted R²	0.457	0.452	0.434	0.494	0.469	0.487	0.447	0.449
Residual Std. Error	0.984 (df = 92)	0.986 (df = 92)	0.990 (df = 88)	0.963 (df = 85)	0.994 (df = 70)	0.951 (df = 91)	0.982 (df = 88)	0.997 (df = 89)
F Statistic	17.343^*** (df = 5; 92)	16.994^*** (df = 5; 92)	15.251^*** (df = 5; 88)	18.570^*** (df = 5; 85)	14.224^*** (df = 5; 70)	19.254^*** (df = 5; 91)	16.018^*** (df = 5; 88)	16.332^*** (df = 5; 89)

Note:	p<0.1; p<0.05; p<0.01

6 BPA and TSH - trends

Trend model A: univariate (only creatinine adjustment)
Trend model B: adjustment for creatinine, age and BMI
Trend model C: adjustment for creatinine, country, age and BMI
Trend model D: adjustment for creatinine, country, age, BMI and disease status

6.1 Table 4

outcome: ln_TSH dependent variables: quartiles of ln_BPF, ln_BPA, ln_ClxBPA (continuous)

ONLY WORKING ON THE SPOT SAMPLES

For each models the results of the complete dataset are presented first followed by the results of the sensitivity analysis BPA, BPF and ClxBPA where only participants with values between the 5th and the 9th percentile have been included.

Univariate trend models and (2) adjustment: age + BMI - quantiles CONT

Pooled sample

**TSH and BPF, BPA or ClxBPA - trend analysis - Pooled population - Table 4**

	A - Creatinine (g/L, log-transformed)

	TSH (mIU/L, log-transformed)
	(1)	(2)	(3)

ln_creat_gPERlt_spot	-0.149 (-0.266, -0.032)	-0.057 (-0.171, 0.057)	-0.078 (-0.186, 0.030)
	p = 0.014	p = 0.329	p = 0.161
SUBquant1234_ln_BPA_ngPERlt_spot	0.145 (0.045, 0.246)
	p = 0.006
SUBquant1234_ln_BPF_ngPERlt_spot		-0.063 (-0.211, 0.085)
		p = 0.404
SUBquant1234_ln_ClxBPA_ngPERlt_spot			0.095 (-0.443, 0.633)
			p = 0.730
Constant	-0.780 (-1.581, 0.021)	0.768 (-0.167, 1.703)	-0.116 (-2.876, 2.643)
	p = 0.058	p = 0.109	p = 0.935

Observations	206	206	206
R²	0.047	0.013	0.010
Adjusted R²	0.037	0.003	-0.00002
Residual Std. Error (df = 203)	0.617	0.628	0.629
F Statistic (df = 2; 203)	4.988^***	1.292	0.998

Note:	p<0.1; p<0.05; p<0.01

**Sensitivity analysis results: TSH and BPF, BPA or ClxBPA - trend analysis - Pooled population - BPA: 5to95 - Table 4**

	A - Creatinine (g/L, log-transformed)

	TSH (mIU/L, log-transformed)

ln_creat_gPERlt_spot	-0.145 (-0.270, -0.020)
	p = 0.025
SUBquant1234_ln_BPA_ngPERlt_spot	0.125 (0.009, 0.240)
	p = 0.036
Constant	-0.642 (-1.557, 0.272)
	p = 0.171

Observations	184
R²	0.036
Adjusted R²	0.025
Residual Std. Error	0.631 (df = 181)
F Statistic	3.337^** (df = 2; 181)

Note:	p<0.1; p<0.05; p<0.01

**Sensitivity analysis results: TSH and BPF, BPF or ClxBPA - trend analysis - Pooled population - BPF: 5to95 - Table 4**

	A - Creatinine (g/L, log-transformed)

	TSH (mIU/L, log-transformed)

ln_creat_gPERlt_spot	-0.077 (-0.198, 0.043)
	p = 0.209
SUBquant1234_ln_BPF_ngPERlt_spot	-0.079 (-0.240, 0.082)
	p = 0.337
Constant	0.831 (-0.180, 1.843)
	p = 0.110

Observations	184
R²	0.020
Adjusted R²	0.009
Residual Std. Error	0.615 (df = 181)
F Statistic	1.874 (df = 2; 181)

Note:	p<0.1; p<0.05; p<0.01

**Sensitivity analysis results: TSH and ClxBPA, BPF or ClxBPA - trend analysis - Pooled population - ClxBPA- Table 4**

	A - Creatinine (g/L, log-transformed)

	TSH (mIU/L, log-transformed)

ln_creat_gPERlt_spot	-0.085 (-0.196, 0.026)
	p = 0.137
SUBquant1234_ln_ClxBPA_ngPERlt_spot	0.074 (-0.520, 0.667)
	p = 0.809
Constant	0.017 (-3.024, 3.058)
	p = 0.992

Observations	184
R²	0.012
Adjusted R²	0.001
Residual Std. Error	0.624 (df = 181)
F Statistic	1.120 (df = 2; 181)

Note:	p<0.1; p<0.05; p<0.01

**TSH and BPF, BPA or ClxBPA - trend analysis - Pooled population - Table 4**

	B - Age, BMI and creatinine (g/L, log-transformed)

	TSH (mIU/L, log-transformed)
	(1)	(2)	(3)

ln_creat_gPERlt_spot	-0.118 (-0.238, 0.003)	-0.041 (-0.159, 0.077)	-0.054 (-0.167, 0.059)
	p = 0.057	p = 0.499	p = 0.354
age	0.003 (-0.004, 0.011)	0.002 (-0.006, 0.009)	0.002 (-0.006, 0.010)
	p = 0.399	p = 0.697	p = 0.665
BMI	-0.003 (-0.020, 0.015)	-0.002 (-0.019, 0.016)	-0.001 (-0.019, 0.016)
	p = 0.758	p = 0.860	p = 0.875
SUBquant1234_ln_BPA_ngPERlt_spot	0.144 (0.041, 0.248)
	p = 0.007
SUBquant1234_ln_BPF_ngPERlt_spot		-0.033 (-0.186, 0.119)
		p = 0.669
SUBquant1234_ln_ClxBPA_ngPERlt_spot			0.151 (-0.400, 0.703)
			p = 0.592
Constant	-0.851 (-1.819, 0.116)	0.556 (-0.551, 1.662)	-0.442 (-3.314, 2.430)
	p = 0.087	p = 0.327	p = 0.764

Observations	200	200	200
R²	0.042	0.007	0.007
Adjusted R²	0.023	-0.014	-0.013
Residual Std. Error (df = 195)	0.618	0.629	0.629
F Statistic (df = 4; 195)	2.158^*	0.331	0.358

Note:	p<0.1; p<0.05; p<0.01

**Sensitivity analysis results: TSH and BPF, BPA or ClxBPA - trend analysis - Pooled population - BPA: 5to95- Table 4**

	B - Age, BMI and creatinine (g/L, log-transformed)

	TSH (mIU/L, log-transformed)

ln_creat_gPERlt_spot	-0.123 (-0.252, 0.007)
	p = 0.066
age	0.002 (-0.007, 0.010)
	p = 0.713
BMI	-0.004 (-0.022, 0.015)
	p = 0.690
SUBquant1234_ln_BPA_ngPERlt_spot	0.124 (0.007, 0.242)
	p = 0.040
Constant	-0.607 (-1.673, 0.459)
	p = 0.266

Observations	179
R²	0.032
Adjusted R²	0.010
Residual Std. Error	0.634 (df = 174)
F Statistic	1.430 (df = 4; 174)

Note:	p<0.1; p<0.05; p<0.01

**Sensitivity analysis results: TSH and BPF, BPF or ClxBPA - trend analysis - Pooled population - BPF: 5to95 - Table 4**

	B - Age, BMI and creatinine (g/L, log-transformed)

	TSH (mIU/L, log-transformed)

ln_creat_gPERlt_spot	-0.051 (-0.177, 0.074)
	p = 0.426
age	0.003 (-0.005, 0.012)
	p = 0.416
BMI	0.002 (-0.017, 0.021)
	p = 0.834
SUBquant1234_ln_BPF_ngPERlt_spot	-0.045 (-0.211, 0.121)
	p = 0.594
Constant	0.412 (-0.792, 1.616)
	p = 0.504

Observations	179
R²	0.018
Adjusted R²	-0.005
Residual Std. Error	0.616 (df = 174)
F Statistic	0.788 (df = 4; 174)

Note:	p<0.1; p<0.05; p<0.01

**Sensitivity analysis results: TSH and BPF, BPF or ClxBPA - trend analysis - Pooled population - ClxBPA: 5to95 - Table 4**

	B - Age, BMI and creatinine (g/L, log-transformed)

	TSH (mIU/L, log-transformed)

ln_creat_gPERlt_spot	-0.063 (-0.181, 0.054)
	p = 0.292
age	0.003 (-0.005, 0.012)
	p = 0.417
BMI	-0.003 (-0.022, 0.015)
	p = 0.719
SUBquant1234_ln_ClxBPA_ngPERlt_spot	0.036 (-0.570, 0.641)
	p = 0.909
Constant	0.134 (-3.027, 3.295)
	p = 0.934

Observations	181
R²	0.014
Adjusted R²	-0.009
Residual Std. Error	0.628 (df = 176)
F Statistic	0.606 (df = 4; 176)

Note:	p<0.1; p<0.05; p<0.01

Adjustment: country + age + BMI and (4) adjustment: country + age + BMI and + status (only for the pooled sample) - quantiles CONT

Pooled sample

**TSH and BPF, BPA or ClxBPA - trend analysis - Pooled population - Table 4**

	Age, BMI, study siteand creatinine

	TSH (mIU/L, log-transformed)
	(1)	(2)	(3)

ln_creat_gPERlt_spot	-0.118 (-0.240, 0.003)	-0.048 (-0.167, 0.071)	-0.055 (-0.168, 0.058)
	p = 0.058	p = 0.435	p = 0.344
countryRO	-0.008 (-0.206, 0.190)	0.094 (-0.091, 0.278)	0.091 (-0.107, 0.290)
	p = 0.939	p = 0.322	p = 0.370
age	0.003 (-0.005, 0.011)	0.002 (-0.006, 0.010)	0.002 (-0.006, 0.010)
	p = 0.413	p = 0.555	p = 0.550
BMI	-0.003 (-0.020, 0.015)	-0.003 (-0.021, 0.015)	-0.003 (-0.021, 0.015)
	p = 0.775	p = 0.713	p = 0.735
SUBquant1234_ln_BPA_ngPERlt_spot	0.146 (0.032, 0.260)
	p = 0.013
SUBquant1234_ln_BPF_ngPERlt_spot		-0.024 (-0.177, 0.129)
		p = 0.759
SUBquant1234_ln_ClxBPA_ngPERlt_spot			0.047 (-0.550, 0.644)
			p = 0.879
Constant	-0.864 (-1.885, 0.157)	0.462 (-0.660, 1.584)	0.064 (-3.014, 3.141)
	p = 0.099	p = 0.421	p = 0.968

Observations	200	200	200
R²	0.042	0.012	0.011
Adjusted R²	0.018	-0.014	-0.014
Residual Std. Error (df = 194)	0.619	0.629	0.629
F Statistic (df = 5; 194)	1.719	0.462	0.448

Note:	p<0.1; p<0.05; p<0.01

**Sensitivity analysis results: TSH and BPF, BPA or ClxBPA - trend analysis - Pooled population - BPA: 5to95 - Table 4**

	Age, BMI, study site and creatinine

	TSH (mIU/L, log-transformed)

ln_creat_gPERlt_spot	-0.124 (-0.255, 0.006)
	p = 0.064
countryRO	-0.026 (-0.234, 0.182)
	p = 0.809
age	0.001 (-0.007, 0.010)
	p = 0.746
BMI	-0.003 (-0.022, 0.016)
	p = 0.737
SUBquant1234_ln_BPA_ngPERlt_spot	0.130 (0.004, 0.255)
	p = 0.045
Constant	-0.643 (-1.751, 0.465)
	p = 0.257

Observations	179
R²	0.032
Adjusted R²	0.004
Residual Std. Error	0.636 (df = 173)
F Statistic	1.150 (df = 5; 173)

Note:	p<0.1; p<0.05; p<0.01

**Sensitivity analysis results: TSH and BPF, BPA or ClxBPA - trend analysis - Pooled population - BPF- Table 4**

	Age, BMI, study site and creatinine

	TSH (mIU/L, log-transformed)

ln_creat_gPERlt_spot	-0.054 (-0.183, 0.075)
	p = 0.414
countryRO	0.020 (-0.180, 0.220)
	p = 0.848
age	0.004 (-0.005, 0.012)
	p = 0.405
BMI	0.002 (-0.018, 0.022)
	p = 0.869
SUBquant1234_ln_BPF_ngPERlt_spot	-0.043 (-0.211, 0.125)
	p = 0.618
Constant	0.392 (-0.833, 1.616)
	p = 0.532

Observations	179
R²	0.018
Adjusted R²	-0.010
Residual Std. Error	0.617 (df = 173)
F Statistic	0.634 (df = 5; 173)

Note:	p<0.1; p<0.05; p<0.01

**Sensitivity analysis results: TSH and BPF, BPA or ClxBPA - trend analysis - Pooled population - ClxBPA- Table 4**

	Age, BMI, study site and creatinine

	TSH (mIU/L, log-transformed)

ln_creat_gPERlt_spot	-0.064 (-0.182, 0.053)
	p = 0.285
countryRO	0.056 (-0.153, 0.264)
	p = 0.602
age	0.004 (-0.005, 0.012)
	p = 0.373
BMI	-0.004 (-0.023, 0.014)
	p = 0.652
SUBquant1234_ln_ClxBPA_ngPERlt_spot	-0.034 (-0.695, 0.627)
	p = 0.919
Constant	0.471 (-2.940, 3.882)
	p = 0.787

Observations	181
R²	0.015
Adjusted R²	-0.013
Residual Std. Error	0.629 (df = 175)
F Statistic	0.538 (df = 5; 175)

Note:	p<0.1; p<0.05; p<0.01

**TSH and BPF, BPA or ClxBPA - trend analysis - Pooled population - Table 4**

	Age, BMI, study sitedisease status[case] (and creatinine)

	TSH (mIU/L, log-transformed)
	(1)	(2)	(3)

ln_creat_gPERlt_spot	-0.101 (-0.221, 0.019)	-0.043 (-0.159, 0.073)	-0.047 (-0.157, 0.063)
	p = 0.101	p = 0.470	p = 0.406
countryRO	0.026 (-0.169, 0.222)	0.113 (-0.068, 0.293)	0.112 (-0.082, 0.306)
	p = 0.794	p = 0.224	p = 0.259
age	0.005 (-0.003, 0.012)	0.004 (-0.004, 0.012)	0.004 (-0.004, 0.012)
	p = 0.250	p = 0.320	p = 0.317
BMI	0.001 (-0.016, 0.019)	0.001 (-0.017, 0.019)	0.001 (-0.017, 0.019)
	p = 0.900	p = 0.922	p = 0.908
status011	-0.268 (-0.443, -0.093)	-0.295 (-0.470, -0.119)	-0.295 (-0.471, -0.119)
	p = 0.004	p = 0.002	p = 0.002
SUBquant1234_ln_BPA_ngPERlt_spot	0.121 (0.008, 0.234)
	p = 0.037
SUBquant1234_ln_BPF_ngPERlt_spot		-0.014 (-0.164, 0.135)
		p = 0.853
SUBquant1234_ln_ClxBPA_ngPERlt_spot			0.019 (-0.564, 0.602)
			p = 0.950
Constant	-0.704 (-1.710, 0.302)	0.353 (-0.744, 1.449)	0.161 (-2.842, 3.164)
	p = 0.172	p = 0.530	p = 0.917

Observations	200	200	200
R²	0.085	0.064	0.064
Adjusted R²	0.056	0.035	0.035
Residual Std. Error (df = 193)	0.607	0.614	0.614
F Statistic (df = 6; 193)	2.985^***	2.205^**	2.200^**

Note:	p<0.1; p<0.05; p<0.01

**Sensitivity analysis results: TSH and BPF, BPA or ClxBPA - trend analysis - Pooled population - BPA- Table 4**

	Age, BMI, study site, disease status[case] (and creatinine)

	TSH (mIU/L, log-transformed)

ln_creat_gPERlt_spot	-0.112 (-0.241, 0.016)
	p = 0.090
countryRO	0.018 (-0.189, 0.226)
	p = 0.864
age	0.003 (-0.006, 0.011)
	p = 0.500
BMI	-0.001 (-0.019, 0.018)
	p = 0.957
status011	-0.254 (-0.445, -0.063)
	p = 0.011
SUBquant1234_ln_BPA_ngPERlt_spot	0.113 (-0.011, 0.237)
	p = 0.076
Constant	-0.543 (-1.635, 0.550)
	p = 0.332

Observations	179
R²	0.069
Adjusted R²	0.036
Residual Std. Error	0.625 (df = 172)
F Statistic	2.117^* (df = 6; 172)

Note:	p<0.1; p<0.05; p<0.01

**Sensitivity analysis results: TSH and BPF, BPA or ClxBPA - trend analysis - Pooled population - BPF- Table 4**

	Age, BMI, study site, disease status[case] (and creatinine)

	TSH (mIU/L, log-transformed)

ln_creat_gPERlt_spot	-0.044 (-0.171, 0.082)
	p = 0.493
countryRO	0.044 (-0.153, 0.241)
	p = 0.664
age	0.005 (-0.003, 0.014)
	p = 0.215
BMI	0.003 (-0.016, 0.023)
	p = 0.735
status011	-0.259 (-0.440, -0.077)
	p = 0.006
SUBquant1234_ln_BPF_ngPERlt_spot	-0.031 (-0.195, 0.134)
	p = 0.718
Constant	0.312 (-0.891, 1.514)
	p = 0.613

Observations	179
R²	0.061
Adjusted R²	0.028
Residual Std. Error	0.606 (df = 172)
F Statistic	1.847^* (df = 6; 172)

Note:	p<0.1; p<0.05; p<0.01

**Sensitivity analysis results: TSH and BPF, BPA or ClxBPA - trend analysis - Pooled population - ClxBPA- Table 4**

	Age, BMI, study site, disease status[case] (and creatinine)

	TSH (mIU/L, log-transformed)

ln_creat_gPERlt_spot	-0.054 (-0.170, 0.062)
	p = 0.365
countryRO	0.079 (-0.127, 0.285)
	p = 0.454
age	0.005 (-0.003, 0.013)
	p = 0.250
BMI	-0.0003 (-0.019, 0.018)
	p = 0.979
status011	-0.255 (-0.441, -0.068)
	p = 0.009
SUBquant1234_ln_ClxBPA_ngPERlt_spot	-0.091 (-0.741, 0.560)
	p = 0.786
Constant	0.719 (-2.638, 4.076)
	p = 0.676

Observations	181
R²	0.054
Adjusted R²	0.021
Residual Std. Error	0.618 (df = 174)
F Statistic	1.659 (df = 6; 174)

Note:	p<0.1; p<0.05; p<0.01

6.2 Additional trend analysis for fT4

6.2.1 Table S9

Linear regression outcome: ln_ft4 dependent variables: quartiles of ln_BPF, ln_BPA, ln_ClxBPA (continuous)

#CORRECTION 160822 - REMOVED THE ARGUMENT FOR "EXTERNAL" OUTPUT ADDED THE ", report = "vcsp""
stargazer(c(univ_trendCONT_ft4, adjustment1CONT_ft4), type="html", ci=TRUE, single.row = TRUE, title="fT4 and BPF, BPA or ClxBPA - trend analysis - Pooled population - Table S9", report = "vcsp")

**fT4 and BPF, BPA or ClxBPA - trend analysis - Pooled population - Table S9**

	Dependent variable:

	ln_ft4
	(1)	(2)	(3)	(4)	(5)	(6)

ln_creat_gPERlt_spot	0.001 (-0.026, 0.029)	0.016 (-0.011, 0.043)	0.011 (-0.014, 0.036)	0.004 (-0.024, 0.033)	0.018 (-0.010, 0.045)	0.015 (-0.012, 0.041)
	p = 0.930	p = 0.241	p = 0.392	p = 0.756	p = 0.202	p = 0.278
age				0.00002 (-0.002, 0.002)	-0.0003 (-0.002, 0.002)	-0.0002 (-0.002, 0.002)
				p = 0.980	p = 0.774	p = 0.823
BMI				0.003 (-0.001, 0.007)	0.004 (-0.001, 0.008)	0.004 (-0.001, 0.008)
				p = 0.105	p = 0.096	p = 0.093
SUBquant1234_ln_BPA_ngPERlt_spot	0.023 (-0.001, 0.047)			0.025 (0.001, 0.049)
	p = 0.061			p = 0.046
SUBquant1234_ln_BPF_ngPERlt_spot		-0.011 (-0.046, 0.024)			-0.006 (-0.042, 0.029)
		p = 0.530			p = 0.723
SUBquant1234_ln_ClxBPA_ngPERlt_spot			0.058 (-0.068, 0.184)			0.063 (-0.065, 0.191)
			p = 0.368			p = 0.338
Constant	2.425 (2.235, 2.615)	2.678 (2.458, 2.897)	2.309 (1.661, 2.957)	2.326 (2.099, 2.553)	2.574 (2.316, 2.833)	2.208 (1.539, 2.876)
	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000

Observations	204	204	204	198	198	198
R²	0.023	0.007	0.009	0.043	0.024	0.028
Adjusted R²	0.013	-0.003	-0.001	0.024	0.004	0.008
Residual Std. Error	0.146 (df = 201)	0.147 (df = 201)	0.147 (df = 201)	0.145 (df = 193)	0.146 (df = 193)	0.146 (df = 193)
F Statistic	2.315 (df = 2; 201)	0.717 (df = 2; 201)	0.928 (df = 2; 201)	2.186^* (df = 4; 193)	1.184 (df = 4; 193)	1.389 (df = 4; 193)

Note:	p<0.1; p<0.05; p<0.01

stargazer(c(adjustment2CONT_ft4, adjustment3CONT_ft4), type="html", ci=TRUE, title="fT4 and BPF, BPA or ClxBPA - trend analysis - Pooled population - Table S9", single.row = TRUE, report = "vcsp")

**fT4 and BPF, BPA or ClxBPA - trend analysis - Pooled population - Table S9**

	Dependent variable:

	ln_ft4
	(1)	(2)	(3)	(4)	(5)	(6)

ln_creat_gPERlt_spot	0.013 (-0.014, 0.039)	0.009 (-0.016, 0.035)	0.013 (-0.011, 0.037)	0.013 (-0.013, 0.040)	0.009 (-0.016, 0.035)	0.013 (-0.011, 0.037)
	p = 0.345	p = 0.471	p = 0.297	p = 0.333	p = 0.469	p = 0.293
countryRO	0.123 (0.080, 0.166)	0.121 (0.081, 0.160)	0.131 (0.089, 0.173)	0.124 (0.080, 0.167)	0.121 (0.082, 0.161)	0.131 (0.089, 0.174)
	p = 0.00000	p = 0.000	p = 0.000	p = 0.00000	p = 0.000	p = 0.000
age	0.001 (-0.001, 0.002)	0.001 (-0.001, 0.003)	0.001 (-0.001, 0.003)	0.001 (-0.001, 0.003)	0.001 (-0.001, 0.003)	0.001 (-0.001, 0.003)
	p = 0.385	p = 0.365	p = 0.360	p = 0.371	p = 0.353	p = 0.347
BMI	0.001 (-0.003, 0.005)	0.001 (-0.003, 0.005)	0.001 (-0.003, 0.005)	0.001 (-0.003, 0.005)	0.001 (-0.003, 0.005)	0.001 (-0.003, 0.005)
	p = 0.536	p = 0.511	p = 0.565	p = 0.511	p = 0.489	p = 0.541
status011				-0.006 (-0.046, 0.033)	-0.006 (-0.044, 0.033)	-0.006 (-0.044, 0.033)
				p = 0.750	p = 0.776	p = 0.768
SUBquant1234_ln_BPA_ngPERlt_spot	-0.004 (-0.029, 0.021)			-0.005 (-0.030, 0.020)
	p = 0.737			p = 0.707
SUBquant1234_ln_BPF_ngPERlt_spot		0.006 (-0.027, 0.039)			0.006 (-0.027, 0.039)
		p = 0.732			p = 0.722
SUBquant1234_ln_ClxBPA_ngPERlt_spot			-0.087 (-0.214, 0.041)			-0.087 (-0.215, 0.040)
			p = 0.184			p = 0.183
Constant	2.523 (2.301, 2.746)	2.451 (2.210, 2.692)	2.932 (2.275, 3.588)	2.527 (2.303, 2.751)	2.448 (2.206, 2.691)	2.933 (2.274, 3.591)
	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000	p = 0.000

Observations	198	198	198	198	198	198
R²	0.178	0.178	0.185	0.178	0.178	0.185
Adjusted R²	0.156	0.156	0.164	0.152	0.152	0.160
Residual Std. Error	0.134 (df = 192)	0.134 (df = 192)	0.134 (df = 192)	0.135 (df = 191)	0.135 (df = 191)	0.134 (df = 191)
F Statistic	8.296^*** (df = 5; 192)	8.297^*** (df = 5; 192)	8.702^*** (df = 5; 192)	6.898^*** (df = 6; 191)	6.895^*** (df = 6; 191)	7.232^*** (df = 6; 191)

Note:	p<0.1; p<0.05; p<0.01

6.3 Plots between BPA, TSH and iodine

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R and package versions used

sessionInfo()

## R version 3.3.1 (2016-06-21)
## Platform: i386-w64-mingw32/i386 (32-bit)
## Running under: Windows 7 (build 7601) Service Pack 1
## 
## locale:
## [1] LC_COLLATE=Greek_Greece.1253  LC_CTYPE=Greek_Greece.1253   
## [3] LC_MONETARY=Greek_Greece.1253 LC_NUMERIC=C                 
## [5] LC_TIME=Greek_Greece.1253    
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] knitr_1.14       car_2.1-3        coefplot_1.2.4   irr_0.84         lpSolve_5.6.13  
##  [6] ICC_2.3.0        sjPlot_2.0.2     tableone_0.7.3   corrplot_0.77    plyr_1.8.4      
## [11] psych_1.6.6      stargazer_5.2    Hmisc_3.17-4     Formula_1.2-1    survival_2.39-4 
## [16] lattice_0.20-33  data.table_1.9.6 dplyr_0.5.0      ggplot2_2.1.0   
## 
## loaded via a namespace (and not attached):
##  [1] Rcpp_0.12.6         magrittr_1.5        cluster_2.0.4       MASS_7.3-45        
##  [5] splines_3.3.1       mnormt_1.5-4        colorspace_1.2-6    R6_2.1.3           
##  [9] parallel_3.3.1      broom_0.4.1         e1071_1.6-7         latticeExtra_0.6-28
## [13] TH.data_1.0-7       class_7.3-14        MatrixModels_0.4-1  sjstats_0.3.0      
## [17] sjmisc_1.8          htmltools_0.3.5     modeltools_0.2-21   lme4_1.1-12        
## [21] assertthat_0.1      digest_0.6.10       tibble_1.1          Matrix_1.2-6       
## [25] acepack_1.3-3.3     haven_0.2.1         coin_1.1-2          rmarkdown_1.0      
## [29] scales_0.4.0        stats4_3.3.1        survey_3.31         munsell_0.4.3      
## [33] multcomp_1.4-6      minqa_1.2.4         highr_0.6           stringr_1.1.0      
## [37] tools_3.3.1         pbkrtest_0.4-6      grid_3.3.1          nnet_7.3-12        
## [41] nlme_3.1-128        gtable_0.2.0        mgcv_1.8-12         quantreg_5.26      
## [45] DBI_0.5             lazyeval_0.2.0      yaml_2.1.13         useful_1.2.1       
## [49] gridExtra_2.2.1     formatR_1.4         tidyr_0.6.0         nloptr_1.0.4       
## [53] reshape2_1.4.1      RColorBrewer_1.1-2  effects_3.1-1       codetools_0.2-14   
## [57] stringdist_0.9.4.1  rpart_4.1-10        evaluate_0.9        labeling_0.3       
## [61] sandwich_2.3-4      stringi_1.1.1       SparseM_1.7         mvtnorm_1.0-5      
## [65] foreign_0.8-66      chron_2.3-47        zoo_1.7-13

Final THYROCHEM report - REPORT - tables

Xanthi D. Andrianou - Water and Health Lab

1 Preliminaries

1.1 Packages used

1.2 Raw data files

1.3 Variable lists

1.4 Functions

1.5 Questionnaire variable recoding

2 Cyprus

2.1 Table S4

3 Romania

4 Working on the both countries (pooled population)

4.1 Descriptives and comparisons - demographics, hormones, iodine and urinary levels of BPA, BPF, ClxBPA

4.1.1 Table 1, Table S1, Table S3

4.2 Logistic regressions

4.2.1 Table S6, Table S7

4.2.2 Table 3

4.2.3 Table S8

5 Determinants of exposure by compound in the whole study population

5.0.1 Table 2

5.1 Table S5

5.2 Table S10 (additional table)

6 BPA and TSH - trends

6.1 Table 4

6.2 Additional trend analysis for fT4

6.2.1 Table S9

6.3 Plots between BPA, TSH and iodine