Table 5

Multivariate logistic regression analyses on predictors of smoking abstinence after discharge (n=382)

Adjusted model
OR (95% CI)P value
Age0.99 (0.97 to 1.02)0.701
Sex0.30 (0.03 to 2.69)0.282
Highest educational attainment
 Primary school or below0.53 (0.17 to 1.52)0.225
 Lower secondary school0.49 (0.17 to 1.39)0.177
 Upper secondary school0.49 (0.15 to 1.37)0.162
 Tertiary educationRef
Marital status
 Married2.12 (0.88 to 5.82)0.092
 Unmarried0.92 (0.28 to 3.03)0.894
 Divorced, widowed, separatedRef
Employment status
 EmployedRef
 Awaiting employment/unemployed0.89 (0.40 to 1.97)0.772
 Retired1.85 (0.92 to 3.71)0.084
Daily cigarette consumption before hospitalisation0.98 (0.96 to 1.00)0.050
Quit attempts before hospitalisation0.70 (0.41 to 1.21)0.202
Reduction attempts before hospitalisation0.81 (0.49 to 1.51)0.603
No of days of hospitalisation admission in the preceding year1.02 (1.01 to 1.27)0.036*
Reason for hospital admission
 Diabetes0.51 (0.24 to 1.81)0.297
 Hypertension0.55 (0.36 to 1.37)0.147
 Heart disease0.65 (0.18 to 2.32)0.507
 Respiratory disease0.52 (0.11 to 2.41)0.400
 CancerRef
Perceived correlation between smoking and illness1.08 (1.01 to 1.17)0.032*
Received smoking cessation support from healthcare professionals1.18 (1.07 to 1.36)0.014*
Withdrawal symptoms experienced during hospitalisation0.75 (0.58 to 0.97)0.027*
  • The model was adjusted by sex, age, highest educational attainment, marital status and employment status.

  • *Significant at p<0.05.