Computational protocol: Iodine Deficiency and Excess Coexist in China and Induce Thyroid Dysfunction and Disease: A Cross-Sectional Study

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Protocol publication

[…] All data were recorded with EpiData3.1, the data processing and statistical analyses were performed using IBM SPSS statistics version 19 and SigmaPlot 12.5 software. Comparison of the proportions among the three groups was performed by the chi-square test (α = 0.05); if the null hypothesis was rejected, pairwise comparisons were performed (α = 0.0125). Normally distributed data were expressed as the mean ±SD; abnormally distributed data were described as the median with the 25th and 75th percentiles. Binary logistic regression analysis was used to calculate the odds ratio (OR) and 95% Confidence Intervals (CIs) for thyroid diseases by iodine nutrition status and other risk factors. The dependent variables entered into the logistic regression models were goiter, autoimmune thyroiditis, subclinical hyperthyroidism and overt hyperthyroidism, nodules and subclinical hypothyroidism. Gender, age, smoking status, alcohol consumption, goiter, nodules, iodine status, TPOAb positive and TGAb positive were entered as explanatory variables. First, univariate logistic regression was performed to select the potentially significant variables for the multivariate model. Then, based on the results of univariate logistic analysis, the significant variables, gender and age were put into the multivariate logistic model. The pairwise comparisons of the TSH values among the three groups were compared by the Kruskal-Wallis test. The relativity between TSH and urinary iodine concentration was tested using the Spearman rank correlation. […]

Pipeline specifications

Software tools SPSS, SigmaPlot
Application Miscellaneous
Diseases Congenital Hypothyroidism, Hyperthyroidism, Hypothyroidism, Thyroid Diseases
Chemicals Iodine