Guo Wei, Zhao Shuo, Chang Qinzheng, Sun Jiajia, Fan Yidong, Liu Jikai
Department of Urology, Qilu Hospital of Shandong University, 107 Wenhuaxi Road Jinan, Shandong, 250012, People's Republic of China.
Lipids Health Dis. 2025 Jan 25;24(1):24. doi: 10.1186/s12944-025-02436-6.
An association exists between obesity and reduced testosterone levels in males. The propose of this research is to reveal the correlation between 15 indices linked to obesity and lipid levels with the concentration of serum testosterone, and incidence of testosterone deficiency (TD) among adult American men.
The study utilized information gathered from the National Health and Nutrition Examination Survey (NHANES) carried out from 2011 to 2016. The condition known as TD is typically characterized by a total serum testosterone level that falls below 300 ng/dL. The analysis used weighted linear and logistic regression methods to announce the association between 15 obesity- and lipid-related factors and serum testosterone levels as well as TD. Subgroup analyses were further carried out to confirm and validate the findings. Additionally, restricted cubic spline plots were utilized to examine non-linear relationships. Receiver operating characteristic (ROC) curves were created for the 15 factors, and the area under the curves (AUC) was calculated to assess the efficacy of each factor in detecting TD.
Among a group of 3,540 adult males, it was observed that all 15 obesity- and lipid-related indices showed a negative relationship with testosterone concentration and a direct correlation with the presence of TD. After accounting for all covariates, the analysis revealed that individuals within the highest quartile (Q4) for metabolic score for visceral fat (METS-VF) had the excellent probability of developing TD (OR = 13.412, 95%CIs: 4.222, 42.262, P < 0.001). Additionally, a non-linear relationship was detected between the METS-VF with TD. Within the model that incorporated all adjustments, the triglyceride glucose-waist to height ratio (TyG-WHtR) has the best performance for predicting TD (Overall: AUC = 0.762, 95%CIs: 0.743, 0.782, cut-off = 5.186).
Elevated levels of these 15 markers were inversely related to testosterone levels and were indicative of an elevated risk of TD. Among all indices analyzed, TyG-WHtR demonstrated the highest predictive value.
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男性肥胖与睾酮水平降低之间存在关联。本研究的目的是揭示与肥胖相关的15项指标和血脂水平与成年美国男性血清睾酮浓度以及睾酮缺乏(TD)发生率之间的相关性。
该研究利用了2011年至2016年进行的美国国家健康和营养检查调查(NHANES)所收集的信息。TD通常表现为血清总睾酮水平低于300 ng/dL。该分析使用加权线性和逻辑回归方法来揭示15项与肥胖和血脂相关的因素与血清睾酮水平以及TD之间的关联。进一步进行亚组分析以确认和验证研究结果。此外,使用受限立方样条图来检验非线性关系。为这15项因素绘制了受试者工作特征(ROC)曲线,并计算曲线下面积(AUC)以评估各因素检测TD的效能。
在一组3540名成年男性中,观察到所有15项与肥胖和血脂相关的指标均与睾酮浓度呈负相关,与TD的存在呈正相关。在考虑所有协变量后,分析显示内脏脂肪代谢评分(METS-VF)处于最高四分位数(Q4)的个体发生TD的可能性极高(OR = 13.412,95%置信区间:4.222,42.262,P < 0.001)。此外,检测到METS-VF与TD之间存在非线性关系。在纳入所有调整因素的模型中,甘油三酯血糖-腰围身高比(TyG-WHtR)预测TD的性能最佳(总体:AUC = 0.762,95%置信区间:0.743,0.782,临界值 = 5.186)。
这15项指标水平升高与睾酮水平呈负相关,表明TD风险升高。在所有分析指标中,TyG-WHtR显示出最高的预测价值。
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