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Table 4 Binary logistics regression analysis for smoking behaviors associated with family health

From: The association between smoking and family health with the mediation role of personality among Chinese people: nationwide cross-sectional study

Smoking behaviors

Unadjusted

Adjusted 1

Adjusted 2

Adjusted 3

OR (95% CI)

P value

OR (95% CI)

P value

OR (95% CI)

P value

OR (95% CI)

P value

Family Health

0.964 (0.959,0.970)

 < 0.001

0.972 (0.966,0.977)

 < 0.001

0.974 (0.968,0.980)

 < 0.001

0.981 (0.974,0.987)

 < 0.001

Family social/emotional health processes

0.928 (0.916,0.940)

 < 0.001

0.941 (0.928,0.954)

 < 0.001

0.935 (0.922, 0.948)

 < 0.001

0.948 (0.934,0.962)

 < 0.001

Family healthy lifestyle

0.891 (0.875,0.908)

 < 0.001

0.908 (0.890,0.927)

 < 0.001

0.900 (0.881,0.920)

 < 0.001

0.916 (0.896,0.937)

 < 0.001

Family health resources

0.976 (0.965,0.988)

 < 0.001

0.997 (0.984,1.009)

0.582

1.007 (0.994,1.020)

0.315

1.021 (1.008,1.036)

0.002

Family external social supports

0.889 (0.872,0.906)

 < 0.001

0.911 (0.892,0.930)

 < 0.001

0.910 (0.890,0.930)

 < 0.001

0.925 (0.905,0.946)

 < 0.001

  1. Logistic regression model was applied measure the association between family health (independent variable) and smoking behaviors (dependent variable)
  2. Adjusted 1: Adjusting for age, gender and household type
  3. Adjusted 2: Adjusting for age, gender, household type, marital status, education levels, family income, current work status, religion, political landscape, residence, chronic diseases
  4. Adjusted 3: Adjusting for age, gender, household type, marital, education, income, work status, religion, political, residence, chronic diseases, negative event, depression
  5. P-value less than 0.001 was considered conservative for statistical significance after Bonferroni correction
  6. OR Odds ration, CI confidence interval