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Factors That Determine the Dietary Diversity Score in Rural Households: The Case of the Paute River Basin of Azuay Province, Ecuador.
Cordero-Ahiman, Otilia Vanessa; Vanegas, Jorge Leonardo; Franco-Crespo, Christian; Beltrán-Romero, Pablo; Quinde-Lituma, María Elena.
Afiliação
  • Cordero-Ahiman OV; Grupo de Investigación en Economía Regional (GIER), Facultad de Ciencias Económicas y Administrativas, Universidad de Cuenca, Cuenca 010107, Ecuador.
  • Vanegas JL; Grupo de Investigación en Economía Regional (GIER), Facultad de Ciencias Económicas y Administrativas, Universidad de Cuenca, Cuenca 010107, Ecuador.
  • Franco-Crespo C; Grupo de Producción Animal e Industrialización (PROANIN), Facultad de Ingeniería, Universidad Nacional de Chimborazo, Riobamba 060103, Ecuador.
  • Beltrán-Romero P; Facultad de Ciencia e Ingeniería en Alimentos y Biotecnología, Campus Huachi, Universidad Técnica de Ambato, Ambato 180104, Ecuador.
  • Quinde-Lituma ME; Grupo de Investigación en Economía Regional (GIER), Facultad de Ciencias Económicas y Administrativas, Universidad de Cuenca, Cuenca 010107, Ecuador.
Int J Environ Res Public Health ; 18(4)2021 02 20.
Article em En | MEDLINE | ID: mdl-33672453
Inadequate food and nutrition affect human well-being, particularly for many poor subpopulations living in rural areas. The purpose of this research was to analyze the factors that determine the Household Dietary Diversity Score (HDDS) in the rural area of the Paute River Basin, Azuay Province, Ecuador. The sample size of 383 surveys was determined by a stratified random sampling method with proportional affixation. Dietary diversity was measured through the HDDS, with 12 food groups (cereals; roots and tubers; fruits; sugar/honey; meat and eggs; legumes or grains; vegetables; oils/fats; milk and dairy products; meats; miscellaneous; fish and shellfish) over a recall period of 7 days. A Poisson regression model was used to determine the relationship between the HDDS and sociodemographic variables. The results show that the average HDDS of food consumption is 10.89 foods. Of the analyzed food groups, the most consumed are cereals; roots and tubers; fruits; sugar/honey. In addition, the determinants that best explain the HDDS in the predictive model were housing size, household size, per capita food expenditure, area of cultivated land, level of education, and marital status of the head of household. The tools used in this research can be used to analyze food and nutrition security interventions. Furthermore, the results allow policymakers to identify applicable public policies in the fight against hunger.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Rios / Abastecimento de Alimentos Tipo de estudo: Prognostic_studies Aspecto: Determinantes_sociais_saude Limite: Animals / Humans País/Região como assunto: America do sul / Ecuador Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Equador País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Rios / Abastecimento de Alimentos Tipo de estudo: Prognostic_studies Aspecto: Determinantes_sociais_saude Limite: Animals / Humans País/Região como assunto: America do sul / Ecuador Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Equador País de publicação: Suíça