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The population of the practice will need to be used as the denominator in the calculation of smoking prevalence.
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The smoking attributable mortality, morbidity, and economic costs system does not include effects of secondhand smoke in its calculations of smoking attributable mortality.
In the present study we used information on age, gestational length, height and weight (for calculation of BMI), smoking habits, and intake of seafood.
Calculations of smoking habits were adjusted for age, physical activity, drinking habits, level of education, and employment.
Calculations of smoking habits in MC1 were adjusted for age, physical activity, days of drinking wine/month, level of education, and employment, whereas calculations in MC2 were adjusted for age, physical activity, days of drinking wine/month and employment.
Sample size calculations were based on the primary outcome of smoking cessation- 7-day point prevalence quit rate.
We therefore repeated the calculation of cumulative risk after stratifying for age at onset of smoking.
Participants reported weight, height, physical activity, and smoking history in the baseline questionnaire, allowing the calculation of body mass index (BMI), total metabolic equivalents (METs), and pack-years of smoking.
The impact on discovery of biological differences (for example impact of smoking on gene expression profile [ 12]), was assessed by power calculations.
Calculations of smoking- and alcohol habits were adjusted for age, physical activity, level of education, and employment in MC1 and age, physical activity, and employment in MC2.
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