Clinical characterization of nutritional deficiency in groups of greater susceptibility in a quintile V region of poverty in Peru
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- Keywords:
- Anemia, malnutrition, nutritional surveillance, nutritional epidemiology, nutritional disorders
- Abstract
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Objective: To characterize the clinical epidemiological profile of nutritional deficiency in groups of greater susceptibility in a quintile V region of poverty in Peru. Methods: The study is of a retrospective cross-sectional observational type; data were collected on the characteristics of the clinical and epidemiological profile of nutritional deficiencies in the most vulnerable groups. Results: There is a significant decrease in moderate anemia in pregnant women; from 24.8% in 2015 to 13.0% in 2019, of mild anemia; from 20.9% to 15.6% (pvalue = .000), in children; moderate anemia from 19.4% to 11.3%, but in mild anemia from 21.3% to 20.2% (pvalue = .000); there is a significant increase in overweight in pregnant women; from 26.3% to 30.7%, but a decrease in the nutritional deficit assessment, from 10.6% to 8.4% (pvalue = .000); stability of acute malnutrition in children under 5 years of age; from 1.2% (2015) to 1.1% (2019), likewise a stationary aspect of the eutrophic nutritional level from 93.3% to 93.5%; but there is a slight increase in overweight; from 3.75 to 4.4% for 2019; slight reduction in chronic malnutrition in children under 5 years of age; from 31.6% (2015) to 29.5% (2019), likewise a stationary aspect of the eutrophic nutritional level from 68.0% to 70.4%; slight reduction in global malnutrition in children under 5 years of age; from 7.1% (2015) to 5.1% (2019), likewise a stationary aspect of the eutrophic nutritional level from 92.8% to 94.9% for 2019. Conclusion: The nutritional deficiency of anemia still persists and malnutrition in pregnant women and children considered a public health problem.
- References
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Copyright (c) 2024 Raúl Ureta Jurado, Yda Flor Camposano Córdova, Clelia Gómez Araujo, Carla C. Aparicio Ccancce, Edit Nataly Fernández Rojas
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