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. 2022 Mar 23;322(5):L722–L736. doi: 10.1152/ajplung.00299.2021

Table 1.

Overview of subject characteristics from the primary study cohort

  All Subjects Nonsmokers Cigarette Smokers E-Cigarette Users Significance Across Smoking Status*
Total n 44 14 13 17
Sex        
 Male 24 (57.1) 7 (50.0) 5 (38.5) 12 (70.1) 0.36
 Female 20 (42.9) 7 (50.0) 8 (61.5) 5 (29.9) 0.36
Race
 White 28 (63.6) 10 (71.4) 7 (53.8) 11 (64.7) 0.51
 Black 10 (22.7) 2 (14.3) 6 (46.2) 2 (11.8) 0.51
 Asian 4 (9.1) 1 (7.1) 0 (0.0) 3 (17.6) 0.51
 Other 2 (4.5) 1 (7.1) 0 (0.0) 1 (5.9) 0.51
Race dichotomized
 White 28 (63.6) 10 (71.4) 7 (53.8) 11 (64.7) 0.82
 Non-White 16 (36.4) 4 (28.6) 6 (46.2) 6 (35.3) 0.82
Ethnicity
 Non-Hispanic 39 (88.6) 11 (78.6) 13 (100.0) 15 (88.2) 0.38
 Hispanic 5 (11.4) 3 (21.4) 0 (0.0) 2 (11.8) 0.38
Age, yr 28 [18–47] 29 [21–39] 29.8 [22–47] 26 [18–38] 0.12
BMI, kg/m2 29.1 [18.7–43.7] 27.7 [20.0–37.7] 29.2 [20.9–40.4] 30.4 [21.7–43.7] 0.55
Cotinine, pg/mL 103.5 [0–593.6] 0 [0–0] 181.4 [57.2–593.6] 129.0 [0–288.8] 8.35E-05
Prior cigarette smoking 25 (56.8) 0 (100) 13 (100) 12 (70.5) 1.71E-05

Values include the overall count (% of total) for all rows except age, BMI, and cotinine, which represent the overall average [min–max]. *Significance derived from Fisher’s exact tests across categorical data, and ANOVA across continuous data comparing against smoking groups. BMI, body mass index.