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. Author manuscript; available in PMC: 2021 May 31.
Published in final edited form as: Cancer Prev Res (Phila). 2019 Nov 26;13(1):91–100. doi: 10.1158/1940-6207.CAPR-19-0296

Table 1.

Summary of study demographics and urinary biomarkers at baseline.

Treatment Sequence Assignment
Characteristics or Biomarkers PEITC-Placebo Placebo-PEITC P-valuea
Number of subjectsb 39 40
Age (years), mean (SD) 41.6 (10.5) 40.8 (9.6) 0.74
Body mass index (kg/m2), mean (SD)d 28.2 (4.8) 28.2 (6.3) 0.97
Gender, n (%) 0.31
 Male 23 (59.0) 19 (47.5)
 Female 16 (41.0) 21 (52.5)
Race, n (%) >0.99
 Black 8 (20.5) 9 (22.5)
 White 26 (66.7) 27 (67.5)
 Other 5 (12.8) 4 (10.0)
Level of education, n (%) 0.20
 High school or lower 13 (33.3) 19 (47.5)
 College or higher 26 (66.7) 21 (52.5)
Cigarettes per day, mean (SD)e 22.2 (9.4) 21.1 (7.1) 0.57
Alcohol drinking, n (%)d 0.69
 Never 13 (34.2) 17 (43.6)
 Monthly or less 13 (34.2) 12 (30.8)
 Weekly 12 (31.6) 10 (25.6)
GSTM1 and GSTT1 genotypes, n (%) 0.67
 Present and present 19 (48.7) 18 (45.0)
 Present and null 3 (7.7) 3 (7.5)
 Null and present 13 (33.3) 11 (27.5)
 Null and null 4 (10.3) 8 (20.0)
Urinary biomarkersc, geometric mean (95% CI)
 Total nicotine equivalents (TNE, nmol/mg Cr) 45.7 (38.1, 54.8) 59.3 (48.9, 71.8) 0.05
 MHBMA (ng/mg Cr) 15.2 (10.5, 22.1) 13.4 (9.9, 18.3) 0.60
 DHBMA (ng/mg Cr) 753.3 (601.2, 943.9) 642.7 (442.2, 934.1) 0.46
a

P-value is for Student’s t-test for continuous variables and Chi-Square test or Fisher’s exact test for categorical variables.

b

There were 88 subjects, but nine were removed from all analyses: eight due to missing outcomes at baseline, and one due to values of DHBMA and LOD.

c

Urinary biomarkers are adjusted for creatinine and log-transformed. MHBMA and DHBMA were also adjusted for batch.

d

Two subjects were excluded from this analysis due to missing data.

e

Five subjects were excluded from this analysis due to missing data.