Agregação de comportamentos de risco à saúde de escolares da rede pública de Jequié, Bahia, Brasil
DOI:
https://doi.org/10.12820/rbafs.23e0016Keywords:
Fatores de risco, Adolescente, Estilo de vidaAbstract
The aim of this study to estimate the health behaviors risks prevalence in isolated and aggregated way, and analyze associated factors. This was a cross-sectional epidemiological study, with a representative sample of public high school students, from 14 to 20 years of age (n = 1,170) from Jequié, Bahia, Brazil. The observed behaviors risks were: insufficient levels of physical activity, sedentary behavior, inadequate fruits and vegetable consumption, and alcoholic beverages and tobacco consumption. Possible associated factors were: gender, age, marital status, occupation, mother’s education, and family income. e insufficient physical activity prevalence was higher in females (87.6% vs. 73.0%, p = 0.001), while alcohol consumption (28.2% vs. 20.6%; p = 0.003) and tobacco (8.7% vs. 3.8%, p = 0.001) was higher in males. For female sex, there was a 6.34-fold higher observed for the expected prevalence (OP/EP), between insufficient physical activity levels, sedentary behavior, and alcoholic beverages and tobacco consumption. The three or more risk behaviors prevalence was 7.9% (95%CI: 6.4-9.5) and schoolchildren belonging to families with incomes less than two minimum wages had a lower probability of exposure (PR = 0.60; 95%CI: 0.39-0.93). The results indicated a high prevalence of insufficiently active, inadequate fruits and vegetable consumption and the aggregation of multiple behaviors risk for the female sex.
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2. Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U, et al. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012;380(9838):247-57.
3. Lawlor DA, O’Callaghan MJ, Mamun AA, Williams GM, Bor W, Najman JM. Socioeconomic position, cognitive function, and clustering of cardiovascular risk factors in adolescence: findings from the Mater University Study of Pregnancy and its outcomes. Psyc Med. 2005;67:862-8.
4. Alamian A, Paradis G. Correlates of multiple chronic disease behavioral risk factors in Canadian children and adolescents. Am J Epidemiol. 2009;170(10):1279-89.
5. Plotniko RC, Karunamuni N, Spence JC, Storey K, Forbes L, Raine K, et al. Chronic disease-related lifestyle risk factors in a sample of Canadian adolescents. J Adolesc Health. 2009;44:606-9.
6. Matos MG, Marques A, Calmeiro L, Loureiro N. Diferentes perfis comportamentais em adolescentes e associação à prática de atividade física. Psic Sau & Doenças. 2014;15(2):495-509.
7. Dumith SC, Muniz LC, Tassitano RM, Hallal PC, Menezes AMB. Clustering of risk factors for chronic diseases among adolescents from Southern Brazil. Prev Med. 2012;54(6):393-6.
8. Tassitano RM, Dumith SC, Chica DAG, Tenório MCM. Aggregation of the four main risk factors to non- communicable diseases among adolescents. Rev Bras Epidemiol. 2014;17(2):465-78.
9. Leech RM, McNaughton SA, Timperio A. The clustering of diet, physical activity and sedentary behavior in children and adolescents: a review. Int J Behav Nutr Phys Act. 2014;11(4):1-9.
10. Instituto Brasileiro de Geografia e Estatística (IBGE). IBGE Cidades. [citado 2016 fev 20]. Disponível em: http://cidades.ibge.gov.br/xtras/perfil. php?lang=&codmun=291800&search=bahia|jequie.
11. Luiz RR, Magnanini MMF. A lógica da determinação do tamanho da amostra em investigações epidemiológicas. Cad Saúde Col. 2000;8(2):9-28.
12. Silva KS, Lopes AS, Hoelfelmann LP, Cabral LGA, De Bem MFA, Barros MVG, et al. Health risk behaviors project (COMPAC) in youth of the Santa Catarina State, Brazil: ethics and methodological aspects. Braz J Kin Hum Per. 2013;15(1):1-15.
13. PeNSE. Pesquisa Nacional de Saúde do Escolar 2012. Rio de Janeiro: IBGE; 2013.
14. Reichenheim ME, Coutinho ES. Measures and models for causal inference in cross-sectional studies: arguments for the appropriateness of the prevalence odds ratio and related logistic regression. BMC Med Res Methodol. 2010;10(1):66.
15. Spring B, Moller AC, Coons MJ. Multiple health behaviors: overview and implications. J Public Health. 2012;34(S1):i3-i10.
16. Mccambridge J, Mcalaney J, Rowe R. Adult consequences of late adolescent alcohol consumption: a systematic review of cohort studies. PLOS Medi. 2011;8(2):1-13.
17. Currie C, Zanotti A, Morgan D, Currie D, Looze M, Roberts C. Social determinants of health and well-being among young people. Health Behavior in School-aged Children (HBSC) study: international report from the 2009/2010 survey W. R. O. F. Europe (Ed.). Health Policy for Children Adolesc. 2012;6.
18. Schuit AJ, van Loon AJ, Tijhuis M, Ocke M. Clustering of lifestyle risk factors in a general adult population. Prev Med. 2002;35(3):219-24.
19. Silva KS, Lopes AS, Vasques DG, Costa FF, Silva RCR. Clustering of risk factors for chronic noncommunicable diseases among adolescents: prevalence and associated factors. Rev Paul Ped. 2012;30(3):338-45.
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