Table 4.
Multiple regression analysis of variables in relation to sperm count in cases (n=50)
| Independent variables | Parameter estimate | Standard error | P |
|---|---|---|---|
| Intercept | 16.9993 | 17.9108 | 0.3489 |
| Age | 0.0934 | 0.1180 | 0.4337 |
| WC | −0.4292 | 0.1575 | 0.0098* |
| BMI | 0.6571 | 0.3822 | 0.0942 |
| SBP | −0.0022 | 0.0330 | 0.9477 |
| DBP | 0.0572 | 0.0606 | 0.3512 |
| FBG | −0.0093 | 0.0072 | 0.2051 |
| HDL | 0.0220 | 0.0435 | 0.6166 |
| TG | −0.0010 | 0.0045 | 0.8215 |
| FSH | 8.7745 | 5.1056 | 0.0943 |
| Te | −0.7872 | 0.4563 | 0.0931 |
| Inhibin B | 0.2714 | 0.0918 | 0.0054* |
*P: Significant. WC: Waist circumference; BMI: Body mass index; SBP: Systolic blood pressure; DBP: Diastolic blood pressure; TG: Triglyceride; FSH: Follicle-stimulating hormone; Te: Total testosterone, FBG: Fasting blood glucose; HDL: High-density lipoprotein