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U-Shaped Associations Between Urinary Iodine Concentration and the Prevalence of Metabolic Disorders: A Cross-Sectional Study

Mi-Hyun Jin, Zhuo Zhang, Yongze Li, D. Teng, Xiao-Guang Shi, Jianming Ba, Bing Chen, Jianling Du et al.

Thyroid, 2020

51,795 participants · 46 citations

Abstract

Background: Iodine is important in both thyroid function and human metabolism. Studies have explored the effect of iodine on metabolic disorders through thyroid function. This study aimed to investigate the relationship between iodine status and metabolic disorders, such as metabolic syndrome (MetS), hypertension, impaired glucose metabolism, central obesity, and dyslipidemia. Methods: A total of 51,795 subjects aged ≥18 years from the TIDE (Thyroid Disorders, Iodine Status and Diabetes, a national epidemiological cross-sectional study) program were included. The prevalence of metabolic disorders and its related diseases was calculated based on the level of urinary iodine concentrations (UICs) using the chi-square method. To further explore whether the prevalence was associated with UIC, quadratic and UIC-stratified logistic regression models were used. Results: The prevalence of metabolic disorders as a function of UIC was found to be U-shaped with a lower prevalence of 76.0% at an UIC of 300–499 μg/L. Participants with an UIC of 300–499 μg/L showed an association with metabolic disorders (odds ratio [OR] = 0.857, 95% confidence interval [CI 0.796–0.922]) and hypertension (OR = 0.873 [CI 0.814–0.936]). An UIC of 300–799 μg/L was found to be associated with the occurrence of MetS and impaired glucose tolerance. An UIC of 500–799 μg/L was associated with the occurrence of prediabetes (OR = 0.883 [CI 0.797–0.978]). An UIC of ≥300 μg/L was associated with the occurrence of…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 51,795 participants or records.

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