Abstract | BACKGROUND: Whether a relationship exists between various metabolic factors and thyroid-stimulating hormone (TSH) levels in euthyroid persons remains unknown. This study aims to explore the relationship between TSH levels and metabolic factors in euthyroid individuals. METHODS: A total of 2,663 subjects were enrolled from a nationwide population-based cross-sectional survey of iodine nutrition, thyroid disease and diabetes in China (2014-2017). Euthyroid individuals were divided into four groups according to quartiles of TSH levels: group A (n=305, 0.3-1.3 mIU/L), group B (n=829, 1.3-2.2 mIU/L), group C (n=673, 2.2-3.2 mIU/L) and group D (n=349, 3.2-4.2 mIU/L). Anthropometric parameters, biochemical indicators and TSH levels were determined. RESULTS: A total of 2,156 euthyroid subjects with serum TSH levels within the normal range accounted for 86.8% of the sample. The systolic blood pressure (SBP) in group D was significantly higher than that in the other three groups. Group C displayed significantly lower thyroid peroxidase antibody (TPOAb) levels than the other three groups. Group C also had lower anti-thyroglobulin antibody (TgAb) levels than groups A and D, whereas the TgAb levels in group B were only lower than those in group A. Spearman's or Pearson's linear regression analysis showed that SBP (r=0.054; P=0.013) was positively correlated with TSH, but cholesterol (TC) (r=-0.043, P=0.047) was negatively correlated with TSH. Multiple stepwise regression analysis revealed that SBP, the urinary iodine concentration (UIC), waist circumference (WC), body mass index (BMI), TC, triglycerides (TGs) and low-density lipoprotein cholesterol ( LDL-C) were independent predictors of serum TSH levels. CONCLUSION:
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Authors | Rui Ren, Yu Ma, Fang Deng, Tao Li, Hongyan Wang, Jing Wei, Xiaoyan Jiang, Min He, Mingyuan Tian, Dongfang Liu, Bing Chen, Wuquan Deng |
Journal | Diabetes, metabolic syndrome and obesity : targets and therapy
(Diabetes Metab Syndr Obes)
Vol. 12
Pg. 1563-1569
( 2019)
ISSN: 1178-7007 [Print] New Zealand |
PMID | 31686877
(Publication Type: Journal Article)
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Copyright | © 2019 Ren et al. |