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Chronic disease
P2-337 Short term trends of obesity using data of the telephone-based surveillance system of risk and protective factors for chronic diseases (VIGITEL), Brazil, 2006 to 2009
  1. R Yokota1,2,
  2. B Iser1,
  3. L Sardinha1,
  4. L Moura1,
  5. R Claro1,3,
  6. D Malta1
  1. 1General Coordination of Non Communicable Diseases and Injuries, Ministry of Health, Brasilia, Distrito Federal, Brazil
  2. 2Brazilian Field Epidemiology Training Program, Brasilia, Distrito Federal, Brazil
  3. 3Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, São Paulo, Brazil

Abstract

Introduction Obesity has increased in high and low income countries, among all age groups. In Brazil, obesity has tripled in men and doubled in women from 1975 to 2003. Objective: To analyse short term trends in the prevalence of obesity among Brazilian adults from 2006 to 2009. Method: Data from Vigitel collected annually from 2006 to 2009 were analysed. Poisson regression models with obesity as the dependent variable and the year of the study as the explanatory variable were used to identify linear trends.

Result Obesity prevalence in Brazil increased from 11.4% (95% CI 10.8 to 12.0%) in 2006 to 13.9% (95% CI 13.1 to 14.7%, p-value<0.001) in 2009, without a significant difference between sex (2006 - female: 11.4%, 95% CI 10.6 to 12.2%; male: 11.4%; 95% CI 10.5 to 12.3%; 2009 - female: 14.0%, 95% CI 13.1 to 14.0%; male: 13.7%; 95% CI 12.4 to 15.0%). The higher prevalence of obesity was observed among adults with less educational level in all years studied (0-8 years of schooling: 2006 - 13.6%, 95% CI 12.5 to 14.6%; 2009 - 16.1%, 95% CI 14.6 to 17.6%, p-value=0.004; 9–11 years of schooling: 2006 - 8.9%, 95% CI 8.2 to 9.6%; 2009 - 11.6%, 95% CI 10.7 to 12.4%, p value<0.001; ≥12 years of schooling: 2006 - 9.6%, 95% CI 8.6 to 10.6%; 2009: 11.6, 95% CI 10.6 to 12.6%, p value=0.007).

Conclusion The obesity increase among Brazilian adults demonstrates the need to improve prevention measures in Brazil. The agile and inexpensive data collection method used allowed it to have an important role in obesity plan control recently developed in Brazil.

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