Análisis espacial de la anemia gestacional en el Perú, 2015

Akram Hernández Vasquez, Diego Azañedo, Daniel A. Antiporta, Sandra Cortés

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

4 Citas (Scopus)

Resumen

Objectives. To establish regional prevalences of anemia in pregnant women receiving care at public clinics in Peru in 2015 and identify high-prevalence district conglomerates. Materials and Methods. An ecological study was carried out on data from pregnant women with anemia registered on the Nutritional Status Information System (SIEN) who received care in 7703 public clinics in 2015. Regional and district prevalences of gestational anemia were calculated. District conglomerates with a high prevalence of gestational anemia were identified using the Moran Index. Results. Information was gathered from 311,521 pregnant women distributed in 1638 districts in Peru. The national prevalence of anemia was 24.2% (95% confidence interval [95% CI]: 24.0-24.3%), the rural prevalence was 30.5%, and the urban prevalence was 22.0%. The regions of Huancavelica (45.5%; 95% CI: 44.2-46.7%), Puno (42.8%; 95% CI: 41.9-43.7%), Pasco (38.5%; 95% CI: 36.9-40.0%), Cusco (36.0%; 95% CI: 35.3-36.8%), and Apurímac (32.0%; 95% CI: 30.8-33.1%) had the highest prevalences of anemia. The local Moran Index identified 202 high-priority districts (hot spots) (12.3% of total; 44 urban and 158 rural) located in Ancash, Apurímac, Arequipa, Ayacucho, Cajamarca, Cusco, Huancavelica, Huánuco, Junín, La Libertad, Lima, Pasco, and Puno containing high-prevalence district conglomerates. Conclusions. Gestational anemia in Peru has its highest prevalence rates in rural and southern mountainous areas. The district conglomerates with high prevalence rates of gestational anemia coincide with the areas of high regional prevalence.

Título traducido de la contribuciónSpatial analysis of gestational anemia in Peru, 2015
Idioma originalEspañol
Páginas (desde-hasta)43-51
Número de páginas9
PublicaciónRevista Peruana de Medicina Experimental y Salud Publica
Volumen34
N.º1
DOI
EstadoPublicada - 1 ene 2017
Publicado de forma externa

Palabras clave

  • Anemia
  • Geographic Information Systems
  • Peru
  • Pregnancy
  • Pregnant Women

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