Citas bibligráficas
Garcia, C., Infantas, C. (2020). Variación de la calidad de la dieta por región natural del Perú en adolescentes y adultos [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/651871
Garcia, C., Infantas, C. Variación de la calidad de la dieta por región natural del Perú en adolescentes y adultos [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2020. http://hdl.handle.net/10757/651871
@misc{renati/390430,
title = "Variación de la calidad de la dieta por región natural del Perú en adolescentes y adultos",
author = "Infantas Velarde, Claudia Alexandra",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2020"
}
Objective: To evaluate the diet quality in Peru by region in adolescents and adults. Materials and methods: This is a secondary analysis of the Latin American Nutrition and Health Study (ELANS) database. To measure diet quality, the HEI was calculated using information from a 24-hour food consumption reminder on two non-consecutive days. The HEI was classified as unhealthy (<60 HEI points), medium healthy (60-79 points) and healthy (>80 points). The sample was composed of 1113 subjects from four different regions of Peru: Lima Metropolitana, Costa, Sierra and Selva. A multiple linear regression was performed to analyze the effect of region, adolescents and adults. HEI score. Results: The mean HEI score was 71,0 (SD: 10,0), women scored higher than men (72,2 (10,0) vs 69,5 (9,7); p<0.001). Dairy products scored higher in the Sierra region and lower in the Selva region (6,76 (4,53) vs 2,86 (4,24); p<0. 001). Similarly, meats scored higher on the Costa region and the Jungle region and lower in the Sierra region (4,76 (0,89) vs. 4,76 (0,84) vs. 4,24 (1,49); p<0.001). The adjusted linear regression showed that the Sierra region has the highest HEI score (coef: 1.89, EE:0.75; p=0.012) and the Selva region the lowest score (coef: -5.31, EE:1.01; p<0.001). Conclusion: The region of residence affects the quality index, with the population of the Sierra having a higher index of healthy eating and the forest having the lowest score compared to the other regions. It is important to improve the quality of the population's diet across regions in Peru.
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