Skip to main content

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).