Smoking in early and mid-adolescence.

OBJECTIVE: Smoking among young people is declining in many European countries, although in some (particularly Central and Eastern Europe), the rates among young females are increasing. We compared the risk factors and variables for smoking in early- versus mid-adolescence with a view to helping policy makers identify age-specific prevention strategies. METHODS: An anonymous questionnaire on smoking habits was administered to 1383 underage students in the Veneto Region (northeast Italy) in 2010, consisting of multiple-choice questions using words, numbers, and graphical illustrations designed to make it appeal to the adolescent age group. RESULTS: Among 611 sixth-grade students, 93.5% of the boys and 95.3% of the girls had never smoked, although this was true of 53.2% of the boys and only 38.8% of the girls among 772 ninth-grade students. The first cigarette was smoked in different social settings and places, depending on the adolescents' age group. Age also influenced how much adolescents approved of smoking and their perception of how much their parents approved of them smoking. Adherence to the rules of their group of friends was the only variable found associated with smoking in both the age groups considered. CONCLUSION: We found experimental or habitual cigarette smoking rare among sixth graders, but much more common among ninth graders. Focused preventive measures are therefore needed in the intervening years. The transition from middle school to higher education coincides with a sharp drop in the perceived regulation of smoking at school, emphasizing the need for action to establish high schools as smoke-free environments.

Underage drinking on saturday nights, sociodemographic and environmental risk factors: a cross-sectional study.

BACKGROUND: Excessive alcohol consumption in underage people is a rising phenomenon. A major proportion of the disease burden and deaths of young people in developed nations is attributable to alcohol abuse. The aim of this study was to investigate social, demographic and environmental factors that may raise the risk of Saturday night drinking and binge drinking among Italian school students. METHODS: The study was conducted on a sample of 845 Italian underage school students, by means of an anonymous, self-test questionnaire. Multivariate logistic regression was applied to identify independent risk factors for alcohol drinking and binge drinking. Ordered logistic regression was used to identify independent risk factors for harmful drinking patterns. RESULTS: The independent variables that confer a higher risk of drinking in underage students are older age classes, male sex, returning home after midnight, belonging to a group with little respect for the rules, or to a group where young people are not seen as leaders. The higher the perception of alcohol consumption by the group, the higher the risk. Spending time in bars or discos coincides with a two-fold or four-fold increase, respectively, in the risk of alcohol consumption. CONCLUSION: Our findings show that certain environmental and social risk factors are associated with underage drinking. The most important role for preventing young people's exposure to these factors lies with the family, because only parents can exert the necessary control and provide a barrier against potentially harmful situations.

Socio-demographic factors and processes associated with stages of change for smoking cessation in pregnant versus non-pregnant women.

BACKGROUND: The tobacco control community assumes that the most effective interventions are personalized. Nevertheless, little attention is paid to understanding differences between pregnant and non-pregnant European women in terms of the social factors that influence tobacco use and the processes of change used to quit smoking. METHODS: The study consecutively enrolled 177 pregnant women who acknowledged smoking the year before pregnancy and 177 non-pregnant women who acknowledged smoking the year before their clinic visit for a Pap test. RESULTS: With respect to socio-demographic factors, the stages of change in pregnant women were associated with level of education, marital status, and the presence of roommates, partners and friends who smoke. In pregnant women, there was no statistically significant difference in the processes used to stop smoking among the stages of change. Furthermore, behavioral processes were higher in non-pregnant women than in pregnant women, and the difference was statistically significant in the advanced stages of behavioral change. Both pregnant and non-pregnant women showed higher levels of acceptance towards smoking in the earlier stages of change, but the acceptability of smoking in the pre-contemplative stage was higher in non-pregnant women. Greater craving was detected in non-pregnant vs. pregnant women at all stages and reached a statistically significant level at the pre-contemplative stage. CONCLUSION: Pregnancy is a favorable time to stop smoking since pregnant women are more likely to be in an advanced stage of behavioral change. Pregnant and non-pregnant women are distinct populations in the types and processes of change involved in smoking cessation. The intervention programs to promote smoking cessation and prevent relapses will need to take these differences into account.