Nutrition Research and Practice

The Korean Nutrition Society (한국영양학회)
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Identification of dietary patterns in urban population of Argentina: study on diet-obesity relation in population-based prevalence study

  • Pou, Sonia Alejandra (Instituto de Investigaciones en Ciencias de la Salud (INICSA), Universidad Nacional de Cordoba, CONICET) ;
  • del Pilar Diaz, Maria (Instituto de Investigaciones en Ciencias de la Salud (INICSA), Universidad Nacional de Cordoba, CONICET) ;
  • De La Quintana, Ana Gabriela (Escuela de Nutricion, Facultad de Ciencias Medicas, Universidad Nacional de Cordoba) ;
  • Forte, Carla Antonella (Escuela de Nutricion, Facultad de Ciencias Medicas, Universidad Nacional de Cordoba) ;
  • Aballay, Laura Rosana (Estadistica y Bioestadistica, Escuela de Nutricion, Facultad de Ciencias Medicas, Universidad Nacional de Cordoba)
  • Received : 2016.07.19
  • Accepted : 2016.08.16
  • Published : 2016.12.01
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Abstract

BACKGROUND/OBJECTIVES: In Argentina, obesity prevalence rose from 14.6% in 2005 to 20.8% in 2013. Although the number of studies on noncommunicable diseases and dietary patterns as a unique dietary exposure measure has increased, information on this topic remains scarce in developing countries. This is the first population-based study investigating the association between diet and obesity using a dietary pattern approach in Argentina. We aimed (a) to identify current dietary patterns of the population of $C{\acute{o}}rdoba$ city, (b) to investigate its association with obesity prevalence, and (c) to identify and describe dietary patterns from the subgroup of people with obesity. SUBJECTS/METHODS: The $C{\acute{o}}rdoba$ Obesity and Diet Study (CODIES) was conducted in $C{\acute{o}}rdoba$ city by using a random sample of n = 4,327 subjects between 2005 and 2012. Empirically derived dietary patterns were identified through principal component factor analysis. A multiple logistic regression analysis was used to investigate the association of dietary patterns with obesity. RESULTS: Four dietary patterns were identified, called "Starchy-Sugar", "Prudent", "Western", and "Sugary drinks". High scores for the "Western" pattern (with strongest factor loading on meats/eggs, processed meats, and alcohol) showed a positive association with obesity (OR: 1.33, 95% CI: 1.06-1.67, for third versus first tertile of factor score). "Meats/Cheeses" and "Snacks/Alcohol" patterns emerged in people with obesity. CONCLUSIONS: The findings suggest that high adherence to the "Western" pattern promoted obesity in this urban population. In addition, people with obesity showed characteristic dietary patterns that differ from those identified in the overall population.

Keywords

References

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