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Mijin Kim  (Kim M) 1 Article
Obesity and Metabolic Syndrome
The Relationship between Thyroid Function and Different Obesity Phenotypes in Korean Euthyroid Adults
Jeong Mi Kim, Bo Hyun Kim, Hyungi Lee, Eun Heui Kim, Mijin Kim, Jong Ho Kim, Yun Kyung Jeon, Sang Soo Kim, In Joo Kim, Yong Ki Kim
Diabetes Metab J. 2019;43(6):867-878.   Published online April 3, 2019
DOI: https://doi.org/10.4093/dmj.2018.0130
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  • 19 Web of Science
  • 18 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Thyroid disease and metabolic syndrome are both associated with cardiovascular disease. The aim of this study was to investigate the correlation between thyroid hormones and obesity sub-phenotypes using nationwide data from Korea, a country known to be iodine replete.

Methods

This study was based on data obtained from the sixth Korea National Health and Nutrition Examination Survey, administered from 2013 to 2015. A total of 13,873 participants aged ≥19 years were included, and classified into four groups: metabolically healthy non-obesity (MHNO), metabolically healthy obesity (MHO), metabolically unhealthy non-obesity (MUNO), and metabolically unhealthy obesity (MUO) by body fat on the basis of body mass index and metabolic health.

Results

At baseline, serum free thyroxine (fT4) values were significantly higher in the MHNO phenotype (MHNO, 1.27±0.01 ng/dL; MHO, 1.25±0.01 ng/dL; MUNO, 1.24±0.01 ng/dL; MUO, 1.24±0.01 ng/dL, P<0.001) in total study population. However, this significant association no longer remained after adjustment for age, urine iodine concentration, and smoking (P=0.085). After adjustment for confounders, statistically significant association was observed between lower thyroid stimulating hormone (TSH) and MHNO phenotype (P=0.044). In men participants (not women), higher fT4 values were significantly associated with MHNO phenotype (P<0.001). However, no significant association was observed between thyroid function (TSH or fT4) and obesity phenotypes in groups classified by age (cutoff age of 55 years).

Conclusion

Although there was a difference by age and sex, we found that the decrease of TSH and the increase of fT4 values were associated with MHNO.

Citations

Citations to this article as recorded by  
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    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Exploring the diagnostic performance of machine learning in prediction of metabolic phenotypes focusing on thyroid function
    Hyeong Jun Ahn, Kyle Ishikawa, Min-Hee Kim, Vijayalakshmi Kakulapati
    PLOS ONE.2024; 19(6): e0304785.     CrossRef
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    European Journal of Medical Research.2023;[Epub]     CrossRef
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  • Insulin Resistance in Association with Thyroid Function, Psychoemotional State, and Cardiovascular Risk Factors
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    International Journal of Environmental Research and Public Health.2021; 18(7): 3388.     CrossRef
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    Annals of Pediatric Endocrinology & Metabolism.2021; 26(3): 192.     CrossRef
  • Interaction effect of obesity and thyroid autoimmunity on the prevalence of hyperthyrotropinaemia
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    Endocrine.2020; 68(3): 573.     CrossRef
  • The role of thyroid hormone in metabolism and metabolic syndrome
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