RESUMO
OBJECTIVE: To investigate the clustering of health risk behaviors (HRB) and its association with demographics, physical exercise, overweight, perception of health, and diseases in Brazilian pregnant people. STUDY DESIGN: This is a cross-sectional study using data from the Risk Factor Surveillance System for Non-communicable Chronic Diseases by Telephone Survey (VIGITEL), the main health survey in Brazil. METHODS: We used data on fruit and vegetable consumption, TV time, tobacco, and alcohol abuse in individuals who reported being pregnant (n = 4553). We used latent class analysis to identify optimal HRB clustering among participants. Multinomial regression (odds ratio [OR] and 95% confidence intervals [95%CI]) was applied to identify factors associated with HRB cluster. RESULTS: Three clustering classes were identified: "without HRB cluster" (i.e., least unhealthy behaviors) (n = 2402, 52,8%), "moderate HRB cluster" (n = 1983, 43,5%), and "high HRB cluster" (i.e., most unhealthy behaviors) (n = 168, 3,7%). Pregnant people aged 35-50 years (OR = 1.89, 95%CI = 1.01; 3.52) who did not practice physical exercise (OR = 1.94, 95%CI 1.11; 3.39) were more likely to be classified as "high HRB cluster". Participants with 9-11 years (OR = 0.11, 95%CI = 0.07; 0.17) and ≥ 12 (OR = 0.05, 95%CI = 0.02; 0.11) years of education had a lower likelihood of being in the "high HRB cluster". CONCLUSION: Three HRB clustering patterns were found in this study. Greater maternal age, low education, and absence of physical exercises increased the chances of being in the high HRB cluster group. Participants with higher educational levels were less likely to be in the High HRB cluster.
Assuntos
Comportamentos de Risco à Saúde , Doenças não Transmissíveis , Gravidez , Feminino , Humanos , Comportamentos Relacionados com a Saúde , Brasil/epidemiologia , Estudos Transversais , Doenças não Transmissíveis/epidemiologia , Fumar/epidemiologia , Consumo de Bebidas Alcoólicas/epidemiologia , Fatores de Risco , Análise por ConglomeradosRESUMO
Obesogenic behaviors have been individually associated with bullying during adolescence. However, physical activity, sedentary behavior, and diet manifest themselves in synergy and even behavioral profiles in which positive and negative behaviors coexist can be more positively associated with psychosocial outcomes. The present study aimed to analyze the association between clusters of obesogenic behaviors and different bullying roles in Brazilian adolescents. This cross-sectional study used data from the Brazilian School-based Health Survey-PENSE, 2015. A total of 100,794 male and female adolescents of the ninth-grade elementary school participated in the study. Students responded to an electronic questionnaire. Clusters of obesogenic behavior consisted of physical activity, exposure to sedentary behavior, and diet, and the different roles in bullying were: participant, victim, bully, and bully-victim. Binary logistic regression with 95% confidence intervals (CI) was used for data analysis (p < .05). Multiple adjustments and complex sampling procedures were employed. Adolescents in the cluster "Health-promoting sedentary behavior and Diet" had reduced chances of participating in bullying (odds ration [OR] = 0.70; 95% CI [0.64, 0.76]), of being a victim (OR = 0.87; 95% CI = 0.76-0.99), and being the bully (OR = 0.65; 95% CI [0.59, 0.71]); and those from the cluster "Health-promoting physical activity and Diet" had reduced chances of participating (OR = 0.81; 95% CI [0.76, 0.87]), being a victim of bullying (OR = 0.86; 95% CI [0.76, 0.98]), being the bully (OR = 0.79; 95% CI [0.72, 0.85]), and being a bully-victim (OR = 0.74; 95% CI [0.61, 0.90]), when compared to those from the "health-risk" cluster in the adjusted analysis. Clusters of obesogenic behavior may reduce adolescent bullying: victim, bully, and bully-victim benefit when exposed to healthier behavioral profiles. The school setting must recognize bullying as a problem and therefore simultaneously promote multi-component interventions to tackle physical activity, sedentary behavior, and eating behavior. Outcomes other than obesity should be acknowledged when promoting obesogenic behaviors.