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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.