The association of serum testosterone with dyslipidemia is mediated by obesity: the Henan Rural Cohort Study

Fan, Cunyuan; Wei, Dandan; Wang, L; Liu, P; Fan, Keliang; Nie, Luting; Liu, X; Hou, Jian; Huo, Wenqian; Li, L; Li, X; Li, Weiling; Wang, C; Mao, Zhenxing

doi:10.1007/s40618-022-01911-6

Cited by 2 publications

(1 citation statement)

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“…C Fan et.al. (24) measured the levels of serum testosterone and blood lipids in 6,150 Chinese subjects, the results of regression analysis showed that serum testosterone levels were negatively associated with lipid levels and prevalent dyslipidemia, and obesity mediated the effects of serum testosterone on dyslipidemia in men. A cross-sectional study from NHANES (25) found that male testosterone levels were negatively correlated with triglyceride-glucose index, triglyceride-glucose-body mass index and insulin resistance index.…”

Section: Discussionmentioning

confidence: 99%

Association between cardiometabolic index and testosterone among adult males: A cross- sectional analysis of the National Health and Nutrition Examination Survey 2013-2016

Shang,

Zhang,

et al. 2024

Preprint

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Background Cardiometabolic index (CMI) is a well-promising indicator for predicting obesity-related diseases. Testosterone decline and deficiency importantly affect men's health, and may be associated with obesity and excessive deposition of visceral adipose tissue. Therefore, this study intends to explore the relationship between CMI and testosterone.Methods The present cross-sectional study was conducted among adult males with complete data about CMI and testosterone in 2013–2016 National Health and Nutrition Examination Survey (NHANES). Calculate CMI: Triglyceride (TG) (mmol/L)/ High-density lipid-cholesterol (HDL–C) (mmol/L) × waist-to-height Ratio (WHtR). Multivariable regression and subgroup analyses were conducted to explore the association between CMI and testosterone.Results We included 2,209 male participants for the final analysis. After adjusting for confounders, CMI was found to show a negative correlation between testosterone (Minimally adjusted model: β=-10.56, 95%CI: -12.76, -8.36, P < 0.0001, fully adjusted model: β=-0.04 (-4.88, 4.81), P = 0.9882). Multivariate-adjusted beta also showed testosterone levels were significantly lower in the two highest CMI groups (Q3, Q4) compared to the lowest group (Q1). In the subgroup populations, the relationship between CMI and testosterone was affected by age, race, Education level, Hypertension, and smoking status (P-interaction༜0.05). Furthermore, ROC curve analysis indicated that the area under the curve of the CMI (0.68 (95% CI: (0.65,0.71) was more significant than that of the TyG index (0.67 (95% CI: 0.65,0.70).Conclusion CMI levels were negatively related to a decreased likelihood of testosterone in United States male adults. Our findings indicated that CMI may be a simple anthropometric index to predict testosterone.

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Section: Discussionmentioning

confidence: 99%