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Sociodemographic data, cigarette and waterpipe quantitative-related duration, and frequency of exposure were used as independent variables.
All subjects were given a questionnaire, recording demographic data, cigarette smoking, alcohol consumption, oral hygienic practices and sleeping with quid in the mouth during night.
Each subject was face-to-face interviewed by trained interviewers to collect personal information on demographics data, cigarette smoking, and others.
Cases and controls were interviewed by trained medical doctors using a structured questionnaire to collect information on demographic data, cigarette smoking, drinking history, dietary habits, physical activity and family history of cancer with a special focus on gastric cancer.
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This type of consumption data (cigarettes, medicinal products, drugs etc).
In view of the fact that in Poland "vast majority of smokers (94.7%) smoke manufactured cigarettes" annual data on cigarette number smoked per capita were used [ 23].
Data on cigarette smoking included age started and ceased, number of cigarettes per day and duration.
This is not consistent with reports from other populations [ 3], but could be explained by the lack of quantitative data on cigarette smoking in the current study or the high rates of cigarette smoking amongst Indigenous Australians (44% in DRUID) so that it is not a useful discriminator.
These subjects were invited to participate in a follow-up study that included a physical examination, blood tests and a questionnaire to collect sociodemographic characteristics and data about cigarette smoking and their mothers' actual BMI.
Second, we did not have data on cigarette smoking among the workers in asbestos-related factories.
Among 8512 participants (4267 women, 4245 men), 7375 had questionnaire data on cigarette smoking and cotinine data.
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