Dietary patterns and prevalence of the metabolic syndrome in confesional adults
Descripción del Articulo
Goal: To determine the relationship between the type of eating patterns and the prevalence of metabolic syndrome in adults of the Southeastern Peru. Materials and Methods: It was a quantitative, non-experimental, cross-sectional and correlational study. The sample wasselected by non-probabilistic sa...
| Autores: | , |
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| Formato: | artículo |
| Fecha de Publicación: | 2017 |
| Institución: | Universidad Peruana Unión |
| Repositorio: | Revista UPEU - Revista de Investigación Apuntes Universitarios |
| Lenguaje: | español |
| OAI Identifier: | oai:ojs2.apuntesuniversitarios.upeu.edu.pe:article/197 |
| Enlace del recurso: | https://apuntesuniversitarios.upeu.edu.pe/index.php/revapuntes/article/view/197 |
| Nivel de acceso: | acceso abierto |
| Materia: | dietary pattern metabolic syndrome chronic noncommunicable diseases patrón alimentario síndrome metabólico enfermedades crónicas no transmisbles |
| Sumario: | Goal: To determine the relationship between the type of eating patterns and the prevalence of metabolic syndrome in adults of the Southeastern Peru. Materials and Methods: It was a quantitative, non-experimental, cross-sectional and correlational study. The sample wasselected by non-probabilistic sampling at the researcher’s convenience, according to inclusion and exclusion criteria, made up of 130 adults. Results: The prevalence of metabolic syndrome in the study population was 27%. A 62% had an omnivorous pattern, between western and Mediterranean, 39.2% had vegetarian food pattern, corresponding to lacto-ovo-vegetarian and vegan. There was a statistically significant relationship between dietary patterns and indicators of metabolic syndrome (p <0.05). Conclusion: There is a significant relationship between eating patterns and metabolic syndrome in participants, where those who had adherence to a healthy diet (lacto-ovo-vegetarian and vegan) showed a lower prevalence (1.5%) of the metabolic syndrome, western pattern (23.1%). |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).