Table 3

Linear regression models fitted on log cotinine:creatinine ratios

Regression models [no. of households]*B (regression coefficient) (95% CI)Βeta (standardised regression coefficient)t statisticp valueVariance (R2) explained by each additional variable
*Numbers of households vary due to missing data.
Model 1 [n = 174]
Home smoking ban (yes v no)−0.76 (−1.17 to −0.35)−0.27−3.62<0.001(0.071) 7.1%
−0.59 (−0.94 to −0.24)−0.21−3.350.001
Model 2 [n = 168]
Home smoking ban (yes v no)0.61 (0.47 to 0.75)0.548.62<0.001(0.287) 28.7%
Mother’s average daily cigarette consumption−0.58 (−0.93 to −0.22)−0.20−3.230.001
Model 3 [n = 165]
Home smoking ban (yes v no)0.62 (0.48 to 0.77)0.558.60<0.001(0.008) 0.8%
Mother’s average daily cigarette consumption0.15 (0.02 to 0.28)0.142.230.017
Partner’s average daily cigarette consumption−0.52 (−0.86 to −0.18)−0.18−3.050.003
Model 4 [n = 165]
Home smoking ban (yes v no)0.55 (0.40 to 0.69)0.487.65<0.001(0.062) 6.2%
Mother’s average daily cigarette consumption0.18 (0.05 to 0.30)0.172.800.006
Partner’s average daily cigarette consumption0.74 (0.39 to 1.09)0.264.19<0.001(0.005) 0.5%
Housing tenure−0.55 (−0.89 to −0.20)−0.19−3.120.002
Model 5 [n = 159]
Home smoking ban (yes v no)0.57 (0.42 to 0.72)0.487.60<0.001
Mother’s average daily cigarette consumption0.17 (0.05 to 0.30)0.162.680.008
Partner’s average daily cigarette consumption0.71 (0.34 to 1.07)0.25<0.001
Housing tenure−0.17 (−0.53 to 0.20)−0.06−0.950.349
Overcrowding