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. 2019 Oct 31;10:1356. doi: 10.3389/fphys.2019.01356

TABLE 5.

Univariate and multivariate analysis for assessing the relationship of smoking and stress markers with sperm morphology among male patients.

Demographics/sex hormones/stress markers Univariate analysis Multivariate analysis


ß (SE) 95% CI ß (SE) 95% CI
Smoking status
Non-smoker (ref)
Smoker −0.89(0.46) −1.80,0.014 −1.29 (0.57) −2.42, −0.17∗∗
Cortisol −0.01(0.002) −0.01, −0.006 −0.008 (0.003) −0.01, −0.002∗∗
Adrenaline −0.002(0.004) −0.01,0.006 −0.002 (0.004) −0.01, 0.005
SOD 0.009(0.003) 0.002,0.016 0.015 (0.007) 0.001, 0.02∗∗
Glutathione 0.001(0.001) −0.0001,0.003 −0.003 (0.001) −0.007, −0.0001∗∗
SHBG 0.06(0.01) 0.03, 0.08 0.038 (0.01) 0.01, 0.06∗∗
BMI (in kg/m2) −0.21(0.05) −0.32, −0.10 −0.14(0.05) −0.26, −0.03∗∗
BMI (in kg/m2)
Normal weight 18−22.9 (ref)
Over weight 23−24.9 −0.09(0.68) −1.43,1.24
Obese≥25 −1.19(0.52) −2.22, −0.16
Age (in years) 0.04(0.03) −0.01,0.11 NS
Body fat (in %) −0.13(0.04) −0.22, −0.047 NS
Body fat (in %)
Normal weight (12−22) (ref)
Over weight (22.1–27) −1.54, 2.19 −5.86,2.77
Obese (>27) −2.57, 2.02 −6.56, 1.40
FSH −0.0.24(0.15) −0.32,0.27 NS
LH −0.17(0.05) −0.28, −0.06 NS
Testosterone 0.59(0.11) 0.375,0.81 NS

Significant at p-value < 0.25 by univariate linear regression. ∗∗Significant at p-value < 0.05 by multivariate linear regression.