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. 2023 Nov 30;21:157. doi: 10.18332/tid/174132

Table 3. Association between cigarette smoking variables and breast cancer risk in post-menopausal nonobese and obese women, multi-case-control study (MCC-Spain), 2008–2013, Spain (N=2191)

Smoking variables Under/normal weight (N=908) Overweight/obese (N=1283) p-int c
Ca Co AOR b 95% CI Ca Co AOR b 95% CI
Smoking status (1 year before the interview)
Never smoker 214 305 1.00 447 430 1.00
Former ≥10 46 55 1.00 0.57–1.75 58 65 0.55 0.34–0.90
Former <10 37 52 0.99 0.53–1.86 47 49 0.64 0.35–1.16
Active smoker 85 114 0.89 0.55–1.45 101 81 0.77 0.49–1.19 0.534
p-trend 0.663 0.107
Age at smoking initiation (years)
Never smoker 214 305 1.00 447 430 1.00
≥18 86 128 0.89 0.57–1.38 131 124 0.67 0.46–0.97
<18 80 92 1.01 0.60–1.70 78 70 0.66 0.40–1.09 0.554
p-trend 0.932 0.031
Duration of tobacco use (years)
Never smoker 214 305 1.00 447 430 1.00
<20 40 40 1.02 0.54–1.93 51 52 0.67 0.40–1.12
20–30 43 42 1.57 0.83–2.96 54 44 0.64 0.36–1.15
>30 83 138 0.75 0.47–1.18 100 98 0.68 0.44–1.03 0.281
p-trend 0.360 0.036
Intensity (cigarettes/day)
Never smoker 214 305 1.00 447 430 1.00
<15 82 105 0.88 0.55–1.42 85 87 0.59 0.39–0.91
≥15 81 105 1.05 0.65–1.70 118 101 0.74 0.49–1.13 0.427
p-trend 0.917 0.065
Cumulative exposure (pack-years)
Never smoker 214 305 1.00 447 430 1.00
<10 55 63 0.90 0.51–1.58 52 58 0.56 0.34–0.92
10–25 40 65 0.77 0.42–1.40 54 58 0.53 0.31–0.92
>25 67 82 1.14 0.69–1.90 92 71 0.92 0.58–1.48 0.611
p-trend 0.836 0.202
Years smoking before first birtha
Never smoker 168 250 1.00 397 379 1.00
<10 63 82 0.81 0.46–1.41 73 70 0.56 0.33–0.95
≥10 49 70 0.98 0.51–1.87 52 50 0.76 0.43–1.34 0.533
p-trend 0.773 0.131
Cigarettes per day before first birtha
Never smoker 168 250 1.00 397 379 1.00
<15 42 69 0.74 0.40–1.37 50 52 0.54 0.31–0.96
≥15 44 65 1.01 0.55–1.87 54 50 0.73 0.40–1.35 0.695
p-trend 0.849 0.118

AOR: adjusted odds ratio. Multivariable logistic regression analyses were used to test whether each tobacco variable was associated with breast cancer risk. The p-trend values were calculated by incorporating the categorized variable as a continuous variable in the multivariable models. The p-value of the interaction term between weight status and the corresponding variable was calculated using the likelihood ratio test.

a

Only parous women.

b

AOR and 95% CI adjusted for age, education level, region, previous biopsies, family history of breast cancer, age at first birth, number of children, alcohol use, history of hormone replacement therapy and age at menopause.

c

p-int.: p-value of the interaction term.