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Table 4 Association between potential predictors and smoking status at week 12 univariate analysis

From: Extended interactive voice response telephony (IVR) for relapse prevention after smoking cessation using varenicline and IVR: a pilot study

Variable Smoking (n = 57) Not smoking (n = 44) p-value1
Sex 0.392
  Missing 1 (.%) 0 (.%)  
  Male 40 (59.7%) 27 (40.3%)
  Female 16 (48.5%) 17 (51.5%)
Present living status 0.554
  Married/Cohabiting 32 (59.3%) 22 (40.7%)  
  Single/Others2 25 (53.2%) 22 (46.8%)
Age at baseline 0.104
  Median (IQR) 52.0 (40.0, 61.0) 57.5 (49.0, 63.0)  
  Mean (SD) 50.8 (12.6) 55.0 (10.4)
  Min & max (25.0, 70.0) (27.0, 73.0)
Weight at baseline (kg) 0.856
  Median (IQR) 77.2 (66.7, 90.7) 75.4 (64.8, 90.2)  
  Mean (SD) 78.5 (15.0) 79.2 (18.5)
  Min & max (50.2, 109.5) (48.4, 136.0)  
Waist at baseline (cm) 0.319
  Median (IQR) 91.0 (82.5, 99.0) 92.3 (85.3, 101.5)  
  Mean (SD) 91.3 (13.7) 94.7 (14.0)
  Min & max (44.5, 127.0) (71.0, 134.0)
Number of cigs. smoked per day at baseline 0.467
  Median (IQR) 20.0 (14.0, 23.0) 18.0 (13.0, 20.0)  
  Mean (SD) 20.2 (11.2) 18.0 (7.6)
  Min & max (6.0, 55.0) (6.0, 40.0)
  1. 1Depending on the type of the variable, p-value is based on Fisher’s exact test or Wilcoxon rank-sum test.
  2. 2Others include widowed, separated, divorced and coupled (not cohabiting).