Table 1 Study population demographics and smoking and quitting history.

From: Blood and urine multi-omics analysis of the impact of e-vaping, smoking, and cessation: from exposome to molecular responses

 

CS

EV

FS

NS

Demographics

 Number of eligible subjects

77

39

37

52

 Age, years—mean [SD]

36.7 [± 7.4]

29.1 [± 8.8]

34.2 [± 8.8]

30.2 [± 7.3]

Sex, % (N)

 Female

51 (39)

23 (9)

68 (25)

65 (34)

 Male

49 (38)

77 (30)

30 (11)

35 (18)

 Other

0 (0)

0 (0)

3 (1)

0 (0)

 BMI, kg/m2—mean [SD]

28.6 [± 5.8]

26.4 [± 5.9]

29.8 [± 5.7]

25.6 [± 4.6]

 Waist circumference, cm—mean [SD]

89.3 [± 13.6]

84.9 [± 11]

94 [± 15]

80.5 [± 11.8]

Ethnicity, % (N)

 White

61 (47)

62 (24)

76 (28)

81 (42)

 Non-White

17 (13)

23 (9)

16 (6)

13 (7)

 Other*

22 (17)

15 (6)

8 (3)

6 (3)

Smoking history

 Pack years, mean [SD]

14.7 [± 11.3]

NA

9.4 [± 15]

NA

 Daily cigarette consumption, mean [SD]

15.6 [± 6.2]

 ≥ 10

17.0 [± 10.2]

NA

 Time (min) since last cigarette, mean [SD]

142 [± 264]

   

Quitting history

 Number of years, mean [SD]

NA

 ≥ 3

6.4 [± 6.2]

NA

  1. BMI body mass index, CS cigarette smokers, EV e-vapor users, FS former smokers, NS never smokers, SD standard deviation.