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With the exception of TSH, we used the manufacturer's reference ranges: 58�C161?nmol?L?1 for tT4, 0.89�C1.76?ng?dL?1 for fT4, 1.3�C2.6?nmol?L?1 for tT3, 1.8�C4.2?pg?mL?1 for fT3, ��55?ng?mL?1 for Tg, and Ulixertinib concentration volume measurement was performed by a portable echocamera (Aloka, Mure, Japan), using a 7.5-MHz linear transducer. Thyroid volume was calculated by using the following equation: Volume of each lobe (mL)?=?anteroposterior (AP) diameter (cm)?��?mediolateral (ML) diameter (cm)?��?craniocaudal (CC) diameter (cm)?��?0.479, and the total lobe volumes from both sides were summed (Brunn et?al. 1981). Normative thyroid volume was defined as 8.0�C18.0?mL (WHO/UNICEF/ICCIDD 1993). Statistical analyses were carried out with SPSS 19.0 (IBM, New York, NY, USA). Normality of data was checked with the Kolmogorov-Smirnov test. Variables were expressed as means?��?SD for normally distributed data and medians (1st, 3rd quartiles) for non-normally distributed data. For data that could not be normalised, Spearman correlation coefficients were calculated and Mann�CWhitney U-tests were used for comparison. For identifying the predictors and confounders of TSH, fT4, Tg and thyroid volume, first, all parameters (including socio-demographic data, UIC and thyroid function) were GUCY1B3 analysed using Spearman correlation test in order Selleckchem PD173074 to assess their correlation. Then, a simple linear regression was applied to identify the possible predictors of TSH, fT4, Tg and thyroid volume. Finally, all possible predictors were used in a stepwise multiple regression for generating the model. Cox regression with time set at 1 for all subjects was performed to determine the prevalence ratios (PR) (Barros & Hirakata 2003) as potential predictors of UIC??2.5?mIU?L?1, fT4?