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. 2020 Sep 2;11:454. doi: 10.3389/fendo.2020.00454

Table 4.

Regression results.

Controls HT TPOonly Subclinical hypothyroidism Subclinical hyperthyroidism Overt hypothyroidism Overt hyperthyroidism
KINDL SDQ KINDL SDQ KINDL SDQ KINDL SDQ KINDL SDQ KINDL SDQ KINDL SDQ
z-TSH 0.030
[t(6, 264) = 2.50]
p = 0.013
(sr2 = 0.001)
−0.025
[t(6, 211) = −1.98]
p = 0.047
(sr2 = 0.001)
−0.040
[t(60) = −0.27]
p = 0.787
−0.072
[t(60) = −0.51]
p = 0.614
0.254
[t(49) = 1.86]
p = 0.069
−0.222
[t(47) = −1.18]p = 0.122
0.010
[t(247) = 0.15]
p = 0.878
0.027
[t(234) = 0.42]
p = 0.677
0.150
[t(187) = 2.14]
p = 0.034
(sr2 = 0.02)
0.009
[t(180) = 0.12]
p = 0.906
0.449
[t(13) = 0.70]
p = 0.498
−0.755
[t(13) = −1.37]
p = 0.195
−0.315
[t(19) = −0.97]
p = 0.344
0.105
[t(19) = 0.30]
p = 0.770
z-fT4 −0.005
[t(6, 264) = −0.42]
p = 0.673
−0.011
[t(6, 211) = −0.86]
p = 0.390
−0.158
[t(60) = −1.12]
p = 0.268
0.231
[t(60) = 1.67]
p = 0.101
−0.01
[t(49) = −0.06]
p = 0.949
0.241 [t(47) = 1.63]
p = 0.110
0.045
[t(247) = 0.70]
p = 0.486
−0.082
[t(234) = −1–24]
p = 0.215
−0.009
[t(187) = −0.13]
p = 0.901
−0.070
[t(180) = −0.95]
p = 0.343
−0.24
[t(13) = −0.34]
p = 0.740
0.321
[t(13) = 0.53]
p = 0.605
−0.145
[t(19) = −0.47]
p = 0.646
0.193
[t(19) = 0.55]
p = 0.591
z-fT3 0.025
[t(6, 264) = 2.04]
p = 0.024
(sr2 < 0.001)
−0.012
[t(6, 211) = −0.98]
p = 0.329
0.031
[t(60) = 0.24]
p = 0.811
0.170
[t(60) = 1.32]
p = 0.191
0.183
[t(49) = 1.25]
p = 0.216
−0.159
[t(497) = −1.05]
p = 0.298
0.056
[t(247) = 0.87]
p = 0.387
0.074
[t(234) = 1.12]
p = 0.266
−0.051
[t(187) = −0.69]
p = 0.490
0.119
[t(180) = 1.52]
p = 0.130
0.354
[t(13) = 1.05]
p = 0.314
−0.686
[t(13) = −2.37]
p = 0.034 (sr2 = 0.02)
−0.206
[t(19) = −0.56]
p = 0.585
0.039
[t(19) = 0.10]
p = 0.925
TPO-AB # # −0.096
[t(65) = −0.72]
p = 0.472
0.023
[t(60) = 0.175]
p = 0.861
−0.007
[t(49) = −0.05]
p = 0.959
−0.043
[t(47) = −0.30]
p = 0.765
# # # # # # # #
Urine
iodine
0.020
[t(6, 264) = 1.66]
p = 0.097
<0.001
[t(6, 211) = 0.12]
p = 0.991
# # # # 0.024
[t(247) = 0.39]
p = 0.692
−0.060
[t(234) = −0.94]
p = 0.348
0.044
[t(187) = 0.62]
p = 0.537
−0.030
[t(180) = −0.41]
p = 0.685
# # # #
z-thyroid
volume
−0.010
[t(6, 264) = −0.93]
p = 0.408
−0.006
[t(6, 211) = −0.47]
p = 0.635
−0.123
[t(65) = −0.88]
p = 0.385
−0.095
[t(60) = −0.69]
p = 0.496
−0.166
[t(49) = −1.18]
p = 0.244
0.049
[t(47) = 0.33]
p = 0.740
−0.073
[t(247) = −1.20]
p = 0.230
0.068
[t(234) = 1.08]
p = 0.281
−0.070
[t(187) = −1.00]
p = 0.317
0.096
[t(180) = 1.32]
p = 0.187
0.363
[t(13) = 1.62]
p = 0.130
−0.027
[t(13) = −0.14]
p = 0.892
−0.180
[t(19) = −0.70]
p = 0.494
0.137
[t(19) = 0.57]
p = 0.577
R2Thyroid* 0.002
[F(4, 6264) = 3.02]
p = 0.01
0.001
[F(4, 6211) = 1.27]
p = 0.276
0.053
[F(5, 60) = 0.67]
p = 0.651
0.023
[F(5, 60) = 1.14]
p = 0.348
0.131
[F(5, 49) = 1.47]
p = 0.215
0.131
[F(5, 47) = 1.41]
p = 0.237
0.013
[F(5, 247) = 0.68]
p = 0.639
0.017
[F(5, 234) = 0.89]
p = 0.491
0.031
[F(5, 187) = 1.313]
p = 0.260
0.019
[F(5, 184) = 0.78]
p = 0.568
0.374
[F(4, 13) = 1.94]
p = 0.164
0.541
[F(4, 13) = 3.83]
p = 0.029
0.057
[F(4, 19) = 0.29]
p = 0.882
0.046
[F(4, 19) = 0.30]
p = 0.919

Significant findings FDR-corrected for multiple testing at q <0.05 are marked in bold, sr2 is the squared semipartial correlation.

#

Indicates regressors not tested in the respective case for reasons outlined in the results section.

*

Indicates the proportion of variance in KINDL and SDQ scores accounted for by all the above thyroid parameters. Standardized regression coefficients (β) from multiple regression separately for participants with thyroid autoimmunity and thyroid dysfunction with the dependent variable KINDL-R score and SDQ total difficulties score.