, 2010); and mother’s schooling in completed years (0 to 4; 5 to 8, 9 to 11, 12 or more). These variables were Venetoclax research buy adjusted for each other. We adopted a 5%, two-tailed significance level. Statistical analysis was carried out using Stata, v. 11.0 software. The study protocol was approved by the Research Ethics Committee of the Federal University of

Pelotas School of Medicine (process no. 158/07). Of the 4325 adolescents interviewed, 3990 (92.3%) provided complete information for all four outcomes. There were no differences between the overall sample and those who were included in the analyses, in terms of sex, age, skin color, asset index, and mother schooling (data not shown). Of these, 51% were female, 17% had already completed 15 years of age, 66% were white, and 12% were the children of mothers with 12 or more years of schooling. In total, 6% of adolescents were smokers, 25% had ingested

Modulators alcohol within the last month, 70% were physically inactive, and 72% did not eat fruit on a daily basis. Prevalence of smoking, alcohol intake, and physical inactivity was greater among females, whereas low fruit intake was more prevalent among males (Table 1). The distribution of risk factors was as follow: 30.8% presented one risk factor, 48.2% two, 12.4% three, and 2.1% presented the four characteristics analyzed. Only 6.5% of the sample did not display any of the risk factors analyzed. Table 2 Fluorouracil shows the observed and expected prevalence of the 16 possible combinations of the four behaviors investigated. Observed prevalence of all four behaviors together was higher than that expected based on the individual probability for each factor. This effect was slightly stronger among males (O/E prevalence = 3.6) than among females (O/E prevalence = 2.4). The combination of smoking with alcohol intake was noteworthy in that its observed prevalence was higher than expected in both sexes. There was also a clustering

for smoking, alcohol intake and physical inactivity for males (O/E prevalence = 3.3) and for smoking, alcohol intake and low fruit intake for females (O/E prevalence = 3.4). The O/E ratio almost for most other combinations was close to 1 (Table 2). Clustering for pairs of risk factors is presented in Table 3. It is clear that risk of smoking is markedly higher for adolescents who consume alcohol, especially among males. Among females, there was a protective effect of physical inactivity on alcohol intake, that is, girls who are more physically active are more likely to consume alcohol. Also among girls, low fruit intake clustered with physical inactivity, that is, girls displaying one of these behaviors were more likely to display the other as well. These associations remained significant even after adjustment for socioeconomic level (data not shown).