Objective: To assess the prevalence of and factors associated with smoking experimentation among adolescents. Methods: Cross-sectional study, using a specific questionnaire to interview 2,883 students from 7th to 10th grade in schools located in the urban area of the city of Cuiabá, in the state of Mato Grosso, Brazil. Prevalence was estimated, and the principal factors related to cigarette experimentation were analyzed. Subsequently, a hierarchical logistic model was used to describe the chances of cigarette experimentation related to the variables being investigated. Results: The prevalence of cigarette experimentation was 30.2%. In the final model of the analysis, the main variables related to cigarette experimentation were low maternal level of education (OR = 2.44; 95% CI: 1.72-3.47); low socioeconomic level (OR = 1.39; 95% CI: 1.01-1.93); studying in a public school (OR = 1.56; 95% CI: 1.22-2.00); being in 10th grade (OR = 3.45; 95% CI: 2.63-4.54); attending school in the evening (OR = 2.44; 95% CI: 1.85-3.22); having divorced parents (OR = 1.23; 95% CI: 1.02-1.49); having been held back for one school year (OR = 2.17; 95% CI: 1.78-2.70); having friends who smoke (OR = 3.75; 95% CI: 2.99-4.70) having a sibling who smokes (OR = 2.44; 95% CI: 1.82-3.27); and being older (age 17-19 years) (OR = 2.44; 95% CI: 1.39-4.17). Conclusions: A high proportion of adolescents have experimented with smoking. After adjusting for confounding variables, the factors most strongly associated with cigarette experimentation were maternal level of education, age of the adolescent, attending school in the evening, having been held back for one school year and having a sibling who smokes. Preventive measures must be directed at adolescents in schools in order to control smoking.

Keywords: Smoking; Adolescent; Students; Risk factors.

Objective: To assess the association between smoking and abdominal fat among male blood donors. Methods: This was a cross-sectional study involving 1,235 adult male blood donors (age, 20-59 years) in the city of Cuiabá, Brazil. Socioeconomic, demographic, and anthropometric data, as well as information on the lifestyle of the participants, were collected. In this study, waist circumference and waist-to-hip ratio were used as markers of abdominal fat. The association between these two markers and smoking was analyzed by multiple linear regression in separate models, adjusted for potential confounders. Results: Of the 1,235 respondents, 273 (22.1%) reported being smokers, and, of those, 99 (36.3%) reported smoking more than 15 cigarettes per day. The average body mass index was lower among smokers than among nonsmokers (p < 0.001). In the multiple linear regression analyses, smoking was associated with waist circumference and waist-to-hip ratio for smokers of 6-10 cigarettes/day and of ≥ 11 cigarettes/day. Conclusions: In our sample, smoking was positively associated with indicators of abdominal fat, regardless of potential confounding factors, including the consumption of alcoholic beverages.

Keywords: Smoking; Obesity; Abdominal fat.

Objective: To assess the prevalence of respiratory symptoms and their association with sociodemographic variables and with the characteristics of the work environment. Methods: A cross-sectional study comprising 464 workers employed at ceramics manufacturing facilities located in the city of Várzea Grande, Brazil. Data were collected by means of a questionnaire comprising questions regarding sociodemographic variables, work environment characteristics, and respiratory symptoms. Data were analyzed by means of prevalence ratios and their respective 95% CIs between the dependent variable (respiratory symptoms) and the other explanatory variables. In the multivariate analysis, two hierarchical models were built, the response variables being "all respiratory symptoms" and "severe respiratory symptoms". Results: In the sample studied, the prevalence of "all respiratory symptoms" was 78%, whereas that of "severe respiratory symptoms" was 35%. The factors associated with "all respiratory symptoms" were gender, age bracket, level of education, type of occupation, exposure to dust, and exposure to chemical products. The factors associated with "severe respiratory symptoms" were level of education, exposure to dust, and exposure to chemical products. Conclusions: Our results indicate the presence of upper and lower airway disease in the population studied.

Keywords: Questionnaires; Occupational diseases/epidemiology; Health status indicators.