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Table 4 Multivariate models of religiosity and tobacco use (entire sample)

From: Religious involvement and tobacco use in mainland China: a preliminary study

 

Model 1B (SE)

Model 2B (SE)

Model 3B (SE)

Current smoking

   

Religious attendance

−0.17 (0.03)***

−0.31 (0.06)***

−0.43 (0.25)***

Model R-square

0.01

0.30

0.30

Importance of religion

−0.21 (0.03)***

−0.15 (0.06)*

−0.15 (0.06)*

Model R-square

0.01

0.30

0.30

High religiosity

−0.67 (0.15)***

−1.10 (0.20)***

−1.11 (0.21)***

Model R-square

0.01

0.30

0.30

Religion affiliation

−0.44 (0.10)***

−0.06 (0.18)

−0.04 (0.18)

Model R-square

0.01

0.30

0.30

Past smoking

   

Religious attendance

0.01 (0.05)

0.12 (0.08)

0.13 (0.08)

Model R-square

0.00

0.07

0.08

Importance of religion

−0.06 (0.06)

0.08 (0.08)

0.09 (0.08)

Model R-square

0.00

0.07

0.08

High religiosity

0.12 (0.19)

0.34 (0.27)

0.36 (0.27)

Model R-square

0.00

0.07

0.08

Religion affiliation

−0.30 (0.15)

−0.03 (0.23)

−0.01 (0.23)

Model R-square

0.00

0.07

0.08

ICD-10 of Tobacco Use Disorders

  

Religious attendance

−0.05 (0.14)

−0.28 (0.20)

−0.34 (0.21)

Model R-square

0.00

0.02

0.02

Importance of religion

0.01 (0.15)

0.10 (0.21)

−0.09 (0.21)

Model R-square

0.00

0.02

0.02

High religiosity

0.10 (0.50)

−0.32 (0.64)

−0.39 (0.64)

Model R-square

0.00

0.02

0.02

Religion affiliation

−0.18 (0.39)

−0.22 (0.61)

−0.30 (0.62)

Model R-square

0.00

0.02

0.02

  1. Model l = religious variable; Model 2 = Model l + demographics; Model 3 = Model 2 + physical health + mental health.
  2. B = beta, SE = standard error.
  3. *p < 0.05, ***p < 0.001.
  4. N = 2,770 for all models.