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Jinyoung Kim 1 Article
Big Data Articles (National Health Insurance Service Database)
Repeated Low High-Density Lipoprotein Cholesterol and the Risk of Thyroid Cancer: A Nationwide Population- Based Study in Korea
Jinyoung Kim, Mee Kyoung Kim, Ki-Hyun Baek, Ki-Ho Song, Kyungdo Han, Hyuk-Sang Kwon
Endocrinol Metab. 2022;37(2):303-311.   Published online April 6, 2022
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   CrossRef-TDMCrossref - TDM
High-density lipoprotein cholesterol (HDL-C) plays an important role in the reverse cholesterol transport pathway and prevents atherosclerosis-mediated disease. It has also been suggested that HDL-C may be a protective factor against cancer. However, an inverse correlation between HDL-C and cancer has not been established, and few studies have explored thyroid cancer.
The study participants received health checkups provided by the Korean National Health Insurance Service from 2009 to 2013 and were followed until 2019. Considering the variability of serum HDL-C level, low HDL-C level was analyzed by grouping based on four consecutive health checkups. The data analysis was performed using univariate and multivariate Cox proportional hazard regression models.
A total of 3,134,278 total study participants, thyroid cancer occurred in 16,129. In the crude model, the hazard ratios for the association between repeatedly measured low HDL-C levels and thyroid cancer were 1.243, 1.404, 1.486, and 1.680 (P for trend <0.01), respectively, which were significant even after adjusting for age, sex, lifestyle factors, and metabolic diseases. The subgroup analysis revealed that low HDL-C levels likely had a greater impact on the group of patients with central obesity (P for interaction= 0.062), high blood pressure (P for interaction=0.057), impaired fasting glucose (P for interaction=0.051), and hyperlipidemia (P for interaction=0.126).
Repeatedly measured low HDL-C levels can be considered a risk factor for cancer as well as vascular disease. Low HDL-C levels were associated with the risk of thyroid cancer, and this correlation was stronger in a metabolically unhealthy population.


Citations to this article as recorded by  
  • Carbohydrate, Lipid, and Apolipoprotein Biomarkers in Blood and Risk of Thyroid Cancer: Findings from the AMORIS Cohort
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    Cancers.2023; 15(2): 520.     CrossRef
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    Fei Wang, Luo Lu, HuiJuan Chen, Yanhua Yue, Yanting Sun, Feng Yan, Bai He, Rongrong Lin, Weiying Gu
    Annals of Hematology.2023; 102(2): 393.     CrossRef
  • Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database
    Sun Wook Cho, Jung Hee Kim, Han Seok Choi, Hwa Young Ahn, Mee Kyoung Kim, Eun Jung Rhee
    Endocrinology and Metabolism.2023; 38(1): 10.     CrossRef
  • Risk factors and diagnostic prediction models for papillary thyroid carcinoma
    Xiaowen Zhang, Yuyang Ze, Jianfeng Sang, Xianbiao Shi, Yan Bi, Shanmei Shen, Xinlin Zhang, Dalong Zhu
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Exposure to multiple trace elements and thyroid cancer risk in Chinese adults: A case-control study
    Jia-liu He, Hua-bing Wu, Wen-lei Hu, Jian-jun Liu, Qian Zhang, Wei Xiao, Ming-jun Hu, Ming Wu, Fen Huang
    International Journal of Hygiene and Environmental Health.2022; 246: 114049.     CrossRef

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