title: Gender and Age Impacts on the Association Between Thyroid Function and Metabolic Syndrome in Chinese.
abstract: The relationship between thyroid dysfunction and metabolic syndrome (MS) is complex. We aimed to explore the impact of gender and age on their association in a large Chinese cohort. This cross-sectional study enrolled 13,855 participants (8532 male, 5323 female), who self-reported as healthy without any known previous diseases. Clinical data including anthropometric measurements, thyroid function, and serum metabolic parameters were collected. The associations between thyroid function and MS of both genders were analyzed separately after dividing thyroid-stimulating hormone (TSH), free triiodothyronine (FT3), and age into subgroups. MS risks were calculated by binary logistic regression models. Young males had significantly higher MS prevalence than females, yet after menopause, females had higher prevalence than males. Females had higher incidence of thyroid dysfunction than males. By using TSH quartiles as the categorical variables and the lowest quartile as reference, significantly increased MS risk was demonstrated in quartile 4 for males, yet quartiles 3 and 4 for females. By using FT3 quartiles as the categorical variables, significantly increased MS risk was demonstrated in quartile 2 to 4 for females only. By using age subgroups as the categorical variables, significantly increased MS risk was shown in both genders, with females (4.408-58.455) higher than males (2.588-4.943). Gender and age had substantial influence on thyroid function and MS. Females with high TSH and high FT3 had higher MS risks than males. Aging was a risk for MS, especially for females. Urgent need is necessary to initiate interventional programs.
authors.affiliation: From the Department of Nuclear Medicine (ZM, JT, QJ, GZ, RW, YH, SW, XL, TH, NL, AU, PZ, JZ), Department of Endocrinology and Metabolism (ML, XR, MZ, QH), and Department of Health Management, Tianjin Medical University General Hospital, Tianjin, P.R. China (QZ, LL, KS).
authors.forename: Zhaowei
authors.initials: Z
authors.lastname: Meng
authors.forename: Ming
authors.initials: M
authors.lastname: Liu
authors.forename: Qing
authors.initials: Q
authors.lastname: Zhang
authors.forename: Li
authors.initials: L
authors.lastname: Liu
authors.forename: Kun
authors.initials: K
authors.lastname: Song
authors.forename: Jian
authors.initials: J
authors.lastname: Tan
authors.forename: Qiang
authors.initials: Q
authors.lastname: Jia
authors.forename: Guizhi
authors.initials: G
authors.lastname: Zhang
authors.forename: Renfei
authors.initials: R
authors.lastname: Wang
authors.forename: Yajing
authors.initials: Y
authors.lastname: He
authors.forename: Xiaojun
authors.initials: X
authors.lastname: Ren
authors.forename: Mei
authors.initials: M
authors.lastname: Zhu
authors.forename: Qing
authors.initials: Q
authors.lastname: He
authors.forename: Shen
authors.initials: S
authors.lastname: Wang
authors.forename: Xue
authors.initials: X
authors.lastname: Li
authors.forename: Tianpeng
authors.initials: T
authors.lastname: Hu
authors.forename: Na
authors.initials: N
authors.lastname: Liu
authors.forename: Arun
authors.initials: A
authors.lastname: Upadhyaya
authors.forename: Pingping
authors.initials: P
authors.lastname: Zhou
authors.forename: Jianping
authors.initials: J
authors.lastname: Zhang
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D044466:Asian People; D002681:China; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D015994:Incidence; D016015:Logistic Models; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood / Q000150:complications* / Q000453:epidemiology*; D008875:Middle Aged; D015995:Prevalence; D012737:Sex Factors; D013959:Thyroid Diseases / Q000097:blood / Q000150:complications* / Q000453:epidemiology*; D013963:Thyroid Hormones / Q000097:blood; D055815:Young Adult
chemical_list: D013963:Thyroid Hormones