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A chi-square test was used to compare the proportions of smokers between the groups.
Chi-square tests were used to compare proportions of smokers between groups.
In the first analysis, we estimated the differences in the distribution of smokers between affected individuals and unaffected mutation carriers.
There was no difference in marital status, level of education, or employment, number of smokers between patients with elevated and normal calcium concentrations (data not shown).
The proportion of smokers between the 15 29 age group (reference group) and the 50+ age group (OR = 0.81) is significant at the p ≤ 0.05 level.
There were no statistically significant differences in terms of maternal age, pre-pregnancy body mass index (BMI), gestational age at delivery and fetal birth weight and the percentage of smokers between the two study groups.
Similar(53)
In the same country, there were 68% of current smokers, 19% of former, and 13% of never smokers between 2009 and 2010 [39].
A comparison of the percentage of passive smokers between cases and controls did not show statistically significant differences either in the overall study sample (30.4% vs 26.3%, p=0.155) or in the subset of participants younger than 65 years (46.1% vs 33.8%, p=0.931).
Neither total FTND scores nor the proportions of smokers differed between drop outs and those followed up.
Summary results are presented for a group of 1,000 simulated quitters chosen at random from the Australian population of smokers aged between 15 and 74.
At follow-up, physical inactivity level and the amount of overweight adolescents remained similar to that at 16 years, while the proportion of smokers increased between the ages of 16 and 18.
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