Food environments in schools and in the immediate vicinity are associated with unhealthy food consumption among Brazilian adolescents

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Citações na Scopus
82
Tipo de produção
article
Data de publicação
2016
Título da Revista
ISSN da Revista
Título do Volume
Editora
ACADEMIC PRESS INC ELSEVIER SCIENCE
Autores
AZEREDO, Catarina Machado
CANELLA, Daniela Silva
CLARO, Rafael Moreira
FRANCA-JUNIOR, Ivan
KINRA, Sanjay
HAWKESWORTH, Sophie
Citação
PREVENTIVE MEDICINE, v.88, p.73-79, 2016
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Background. Evidence of the influence of the school food environment on adolescent diet is still little explored in low-and middle-income countries. We aimed to evaluate the association between food environment in schools and the immediate vicinity and the regular consumption of unhealthy food among adolescents. Methods. We used cross-sectional data collected by the Brazilian National Survey of School Health (PeNSE) from a representative sample of adolescents attending 9th grade public and private schools in Brazil, in 2012. We estimated students' regular consumption (>5 days/week) of unhealthy food (soft drinks, bagged salty snacks, deep fried salty snacks and sweets) and school availability, in the cafeteria or an alternative outlet, of the same food plus some healthy options (fruit and natural fruit juice). We performed multilevel logistic regression models. Results. Having a cafeteria inside school selling soft drinks (private schools OR = 1.23; 95% CI = 1.14-1.33; public schools OR = 1.13; 95% CI = 1.06-1.20) and deep fried salty snacks (private schools OR = 1.41 95% CI = 1.26-1.57; public schools OR = 1.16 95% CI = 1.08-1.24) was associated with a higher consumption of these unhealthy foods of among students. In private schools, cafeteria selling fruit and natural fruit juice was associated with lower student consumption of bagged salty snacks (OR = 0.86; 95% CI 0.77-0.96) and soft drinks (OR = 0.85; 95% CI = 0.76-0.94). In addition, eating meals from the Brazilian School Food Program in public schools was associated with a lower consumption of unhealthy foods. Conclusions. Foods available in the school food environment are associated with the consumption of unhealthy food among adolescents in Brazil.
Palavras-chave
Adolescent, Diet, School food environment, Environmental health, Multilevel modelling
Referências
  1. Azeredo C.M., 2014, PUBLIC HEALTH NUTR, P1
  2. Birkhead GS, 2006, J PUBLIC HEALTH MAN, pS1
  3. Basica M.d.S.S.d.A.a.S.D.d.A., 2007, EXPERIENCIAS ESTADUA
  4. Briefel RR, 2009, J AM DIET ASSOC, V109, pS91, DOI 10.1016/j.jada.2008.10.059
  5. Burgoine T, 2013, INT J BEHAV NUTR PHY, V10, DOI 10.1186/1479-5868-10-85
  6. Cullen KW, 2004, AM J PUBLIC HEALTH, V94, P463, DOI 10.2105/AJPH.94.3.463
  7. Eaton D.K., 2010, YOUTH RISK BEHAV SUR, P148
  8. FRENCH SA, 1994, AM J PUBLIC HEALTH, V84, P1818, DOI 10.2105/AJPH.84.11.1818
  9. Glanz K., 2009, AM J PREV MED, pS93
  10. Hawkes C., 2015, SMART FOOD POLICIES
  11. IBGE, 2013, ESTATISTICA
  12. IBGE, 2009, PESQ NAC SAUD ESC 20, P138
  13. Jaacks LM, 2015, PEDIATR OBES, V10, P428, DOI 10.1111/ijpo.12000
  14. Jeffery RW, 1996, AM J PUBLIC HEALTH, V86, P1005, DOI 10.2105/AJPH.86.7.1005
  15. Kubik MY, 2003, AM J PUBLIC HEALTH, V93, P1168, DOI 10.2105/AJPH.93.7.1168
  16. Lemeshow S, 1998, AM J EPIDEMIOL, V148, P298
  17. Leite FHM, 2012, J PEDIAT-BRAZIL, V88, P328, DOI 10.2223/JPED.2210
  18. Masse L.C., 2014, INT J BEHAV NUTR PHY, V29
  19. Merlo J, 2005, J EPIDEMIOL COMMUN H, V59, P443, DOI 10.1136/jech.2004.023473
  20. Merlo J, 2006, J EPIDEMIOL COMMUN H, V60, P290, DOI 10.1136/jech.2004.029454
  21. Monteiro CA, 2013, OBES REV, V14, P21, DOI 10.1111/obr.12107
  22. Moubarac JC, 2013, GLOB PUBLIC HEALTH, V8, P845, DOI 10.1080/17441692.2013.796401
  23. O'Toole TP, 2007, J SCHOOL HEALTH, V77, P500, DOI 10.1111/j.1746-1561.2007.00232.x
  24. Park S, 2010, J AM DIET ASSOC, V110, P1532, DOI 10.1016/j.jada.2010.07.003
  25. Popkin BM, 2012, NUTR REV, V70, P3, DOI 10.1111/j.1753-4887.2011.00456.x
  26. Rai D., 2013, BRIT J PSYCHIAT, P195
  27. Rasbash J., 2009, USERS GUIDE MLWIN
  28. Rovner AJ, 2011, J ADOLESCENT HEALTH, V48, P13, DOI 10.1016/j.jadohealth.2010.08.021
  29. Royston P, 2011, J STAT SOFTW, V45, P1
  30. Seliske L, 2013, INT J BEHAV NUTR PHY, V10, DOI 10.1186/1479-5868-10-19
  31. Story M, 2002, J AM DIET ASSOC, V102, pS40, DOI 10.1016/S0002-8223(02)90421-9
  32. Story M, 2008, ANNU REV PUBL HEALTH, V29, P253, DOI 10.1146/annurev.publhealth.29.020907.090926
  33. Tavares LF, 2014, CAD SAUDE PUBLICA, V30, P1029, DOI 10.1590/0102-311X00000413
  34. Vericker T.C., 2013, HEALTH EDUC BEHAV, P19
  35. WHO, 2009, GLOB SCH BAS STUD HL
  36. Williams J, 2014, OBES REV, V15, P359, DOI 10.1111/obr.12142
  37. [Anonymous], 2008, [No title captured], Patent No. 242279