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Cluster of risk and protective factors for obesity among Brazilian adolescents

Author

Listed:
  • Emanuella Gomes Maia

    (Federal University of Minas Gerais)

  • Larissa Loures Mendes

    (Federal University of Minas Gerais)

  • Adriano Marçal Pimenta

    (Federal University of Minas Gerais)

  • Renata Bertazzi Levy

    (University of São Paulo)

  • Rafael Moreira Claro

    (Federal University of Minas Gerais)

Abstract

Objectives This study aims to identify and analyze clusters formed by risk and protective factors for obesity among Brazilian adolescents. Methods Cross-sectional data collected in a national representative sample of adolescents by the Brazilian National School Health Survey of 2012 were used (n = 109,104). Cluster analysis was applied to identify clusters involving dietary intake, eating behavior, physical activity and sedentary behaviors. Logistic regression was employed to contextualize the clusters according to students’ sociodemographics and schools’ characteristics. Results Two clusters were identified. Cluster 1 was predominantly characterized by the low frequency of both risk and protective factors for obesity; Cluster 2 was characterized by high frequency of both of these factors. None was essentially healthy or unhealthy. Adolescents from less developed regions and with mothers with lower education level were associated to Cluster 1. Conclusions The identification of two mixed clusters indicate wide spread obesity risk among scholars in the country. The association between the clusters and sociodemographic characteristics of the population allows a greater refinement of health promotion and obesity prevention and combat actions in Brazil.

Suggested Citation

  • Emanuella Gomes Maia & Larissa Loures Mendes & Adriano Marçal Pimenta & Renata Bertazzi Levy & Rafael Moreira Claro, 2018. "Cluster of risk and protective factors for obesity among Brazilian adolescents," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 63(4), pages 481-490, May.
    • Handle: RePEc:spr:ijphth:v:63:y:2018:i:4:d:10.1007_s00038-017-1053-7
    DOI: 10.1007/s00038-017-1053-7
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    References listed on IDEAS

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    1. Popkin, Barry M., 1999. "Urbanization, Lifestyle Changes and the Nutrition Transition," World Development, Elsevier, vol. 27(11), pages 1905-1916, November.
    2. Royston, Patrick & White, Ian R., 2011. "Multiple Imputation by Chained Equations (MICE): Implementation in Stata," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i04).
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    1. Gabrielli Thais de Mello & Marcus Vinicius Veber Lopes & Giseli Minatto & Rafael Martins da Costa & Thiago Sousa Matias & Paulo Henrique Guerra & Valter Cordeiro Barbosa Filho & Kelly Samara Silva, 2021. "Clustering of Physical Activity, Diet and Sedentary Behavior among Youth from Low-, Middle-, and High-Income Countries: A Scoping Review," IJERPH, MDPI, vol. 18(20), pages 1-16, October.
    2. Asaduzzaman Khan & Riaz Uddin & Eun-Young Lee & Mark S. Tremblay, 2019. "Sitting time among adolescents across 26 Asia–Pacific countries: a population-based study," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(8), pages 1129-1138, November.

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