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. 2020 Oct 23;6:58. doi: 10.18332/tpc/127375

Table 3.

Logistic regression analysis to determine factors influencing tobacco smoking, 2016–2018 (N=2063)

Variable B S.E. Wald Df p OR 95% CI
Gender (Male) -1.63 0.24 46.36 1 <0.001* 0.20 0.12–0.31
Age (18 years) - - 9.35 3 0.03* - -
Age (19 years) 0.32 0.31 1.03 1 0.31 1.38 0.74–2.54
Age (20 years) 0.55 0.29 3.49 1 0.06 1.73 0.97–3.06
Age (21–24 years) 1.04 0.35 8.69 1 0.003* 2.82 1.42–5.62
Location (Urban) -0.03 0.22 0.01 1 0.91 0.97 0.63–1.51
Degree (Undergraduate) - - 5.41 2 0.07 - -
Degree (Technical) -1.58 0.73 4.72 1 0.03* 0.21 0.05–0.86
Degree (Health professional) -0.30 0.31 0.92 1 0.34 0.74 0.41–1.36
Constant -2.55 0.25 106.82 1 <0.001* 0.08 -

Cox and Snell R2=0.03. Nagelkerke R2=0.11. Model χ2(7)=69.84.

*

p<0.05 statistically significant.

OR: odds ratio. CI: confidence interval. B: the coefficient. S.E.: standard error. Df: degrees of freedom.