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Classical Thyroid Epidemiology - Trends, Reference Values and Predictive Models

Subject Area Endocrinology, Diabetology, Metabolism
Epidemiology and Medical Biometry/Statistics
Term from 2008 to 2015
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 60413032
 
Final Report Year 2016

Final Report Abstract

The major task of this proposal was to investigate the incidence and prevalence trends of thyroid disorders after initiation of the German iodine fortification program in 1993. Based on longitudinal data from the initial SHIP cohort we demonstrated a modest mean thyroid growth, a negative net balance between occurring and reverting goiter and thyroid nodules along with balanced incidences of hyper- and hypothyroid dysfunction and a low incidence of autoimmune-related thyroid findings. Comparing the prevalence of thyroid disorders in initial SHIP with data from SHIP-Trend-0 conducted 10 years later in the same study region revealed a significant decrease in goiter prevalence and a significant increase in median serum TSH levels between SHIP-0 and SHIP-Trend-0, while the prevalence of positive TPO-Ab was comparable between SHIP-0 and SHIP-Trend-0. Both of these studies indicate that the current iodine status on a lower recommended level is sufficient to prevent iodine deficiency related disorders on the one hand and to not substantially increase the risk of autoimmune thyroid disease on the other hand. However, the prevalence of diagnosed thyroid disorders and the intake of thyroid medication increased, which may be related to inappropriate therapeutical decisions, but could also be related to an increased awareness of thyroid disorders in clinical practice during the last ten years. We furthermore demonstrated regional disparities in the prevalence of thyroid disorders between Northern and Southern Germany. In SHIP-Trend and KORA-F4 we established new reference ranges for thyroid hormones, which substantially differed from those ten years earlier due to the long-term sufficient iodine supply. Finally, we identified novel genetic loci for goiter, thyroid function, and TPO-Abs by data mining approaches. In the future we aim to extend the use of data mining as tool to not only determine novel genetic but also novel environmental risk factors for thyroid disease.

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