27 August 2023>: Database Analysis
The Impact of Visceral Adiposity on Testosterone Levels in American Adult Men: A Cross-Sectional Analysis
Mingqin Su ABCDEF , Hongquan Wei ABCD , Lijun Chen BC , Yuxiang Guan BD , Wei Dong B , Min Zhao AG*DOI: 10.12659/MSM.941394
Med Sci Monit 2023; 29:e941394
Table 4 Comparison of different indicators for predicting testosterone deficiency.
Indicators | Cut-off | AUC (95% CI) | Specificity | Sensitivity | PPV | NPV | P value |
---|---|---|---|---|---|---|---|
HOMA-IR | 3.41 | 0.7364 (0.7031–0.7696) | 0.7384 | 0.6285 | 0.3598 | 0.8947 | |
TyG | 8.75 | 0.6721 (0.6366–0.7076) | 0.6596 | 0.6285 | 0.3017 | 0.8836 | – |
FBG | 112.50 | 0.6335 (0.5958–0.6713) | 0.7750 | 0.4514 | 0.3194 | 0.8579 | 0.0427 |
TG | 107.50 | 0.6390 (0.6038–0.6742) | 0.5955 | 0.6285 | 0.2666 | 0.8726 | |
VAI | 1.37 | 0.6622 (0.6278–0.6965) | 0.5890 | 0.6562 | 0.2719 | 0.8799 | 0.2700 |
HOMA-IR – homeostatic model assessment index; TyG – triglyceride glucose; VAI – visceral adiposity index; FBG – fasting blood glucose; TG – triglyceride; AUC – area under curve. |