There were no statistically significant differences in the age, gender or smoker distributions of the participants according to pack condition.
There were no statistically significant differences in the age, gender or smoker distributions of the participants according to type of pack.
Recruitment of subjects occurred mostly through word of mouth from other smokers' interviewed, distribution of a study introduction letter, and referrals for health professionals' interviews.
However, observed differences might be affected by the definition of a smoker and distribution of gender and age among physicians.
Among current and former smokers, the distributions by pack years and years of smoking were similar between the groups (data not shown).
However, once adjusted for tobacco consumption (smoker, ex-smoker, never-smoker), the cadmium distribution was log-normal therefore, geometric mean was used as the measure of central tendency, and smoking habits were forced in the regression models.
The decrease in affordability of cigarettes resulted in the increase of the scores by 7 points from 2007 to 2010.> Table 2 presents the number and the percentage of ever-smokers and the distribution of ever-smokers by gender, age and education in each year of health behaviour survey.
As outlined in the table none of the orienteering athletes included in the study were smokers and the distribution of medications were found to be similar between the groups.
The statistical analyses on the characteristics of the subjects were performed with Pearson χ test for the categorical variables such as sex, smokers, and nonnormal distribution variable age was compared by Mann-Whitney rank sum test.
We calculated the distribution of smokers or former smokers among Danish HIV infected.
