Table 2

Univariate regression of saliva cotinine (dependent variable) on presumed measures of exposure to cigarette smoke (independent variables), among 98 smokers and 85 daily smokers who provided a saliva sample and were not currently using nicotine replacement products

Measures of exposure (independent variables)All smokersDaily smokers
Regression coefficient2-151r22-152Regression coefficient2-151r22-152
Cigarettes per day7.32-165 0.3595.72-165 0.250
Cig/day, with values >25 set to 2516.02-165 0.52714.72-165 0.379
Number of butts7.22-165 0.3265.52-165 0.229
Puffs per cigarette2.0 (NS)0.0042.5 (NS)0.008
Intensity of smoking (0–100 rating)3.92-165 0.3973.82-165 0.356
Self reported nicotine yield (mg)142.62-150 0.058144.52-150 0.072
Nicotine yield on pack (mg)147.62-150 0.065150.42-150 0.080
Self reported tar yield (mg)11.52-160 0.06712.12-160 0.088
Tar yield on pack (mg)11.42-150 0.06711.32-150 0.066
Type of cigarettes (regular + mild + hand rolled versus light + ultralight)73.52-150 0.04754.3 (NS)0.031
Self reported length of butts (mm)−1.5 (NS)0.004−3.7 (NS)0.027
Actual length of butts (mm)−4.0 (NS)0.022−4.1 (NS)0.029
Colour, end of the filter (0–10 scale)19.42-150 0.05412.6 (NS)0.025
Inhalation (1–5 scale)32.5 (NS)0.03012.6 (NS)0.005
Quantity of smoke (0–10 scale)41.52-165 0.26832.82-165 0.160
Minutes to first cig in the morning−0.72-165 0.298−0.82-165 0.197
Fagerström dependence test (FTND)41.12-165 0.40633.22-165 0.302
FTND items:
 1 Minutes to first cig (in four categories)94.22-165 0.35579.22-165 0.282
 2 Difficult to refrain152.62-165 0.121113.92-160 0.089
 3 Cig hate most to give up43.6 (NS)0.01638.3 (NS)0.014
 4 Cig per day (in four categories)119.32-165 0.40795.72-165 0.290
 5 Morning smoking130.92-165 0.126100.32-160 0.092
 6 Smoke if ill157.82-165 0.154117.92-160 0.112
Predicted value from four item model1.02-165 0.6391.00.526
  • Statistical significance:

  • 2-150 p⩽0.05;

  • 2-160 p⩽0.01;

  • 2-165 p⩽0.001. NS: not statistically significant.

  • 2-151 Coefficients of linear regression indicate the change in cotinine (in ng/ml) for an increase of one unit in the independent variable.

  • 2-152 r 2 statistics from linear regression models indicate the proportion of variance in saliva cotinine explained by independent variables.