Depression and associated factors in the Peruvian elderly population according to ENDES 2014-2015

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Objectives: The study aims to estimate the prevalence and associated factors of depression in the peruvian older adults using the results of the Demographic and Family Health Survey 2014-2015 (ENDES). Design: The study was observational, transversal and analytic. Institution: UNMSM. Participants: Ol...

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Detalles Bibliográficos
Autores: Martina, Martha, Ara, Miguel Angel, Gutiérrez, César, Nolberto, Violeta, Piscoya, Julia
Formato: artículo
Fecha de Publicación:2018
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/14259
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/anales/article/view/14259
Nivel de acceso:acceso abierto
Materia:Depresión
Adulto mayor
Trastornos de adaptación (DeCS Bireme)
Depression
Elderly
Adjustment Disorders.
Descripción
Sumario:Objectives: The study aims to estimate the prevalence and associated factors of depression in the peruvian older adults using the results of the Demographic and Family Health Survey 2014-2015 (ENDES). Design: The study was observational, transversal and analytic. Institution: UNMSM. Participants: Olders adults. Interventions: Probabilistic sample of 11411 older adults who participated in the ENDES 2014-2015. Main Outcomes: Prevalence estimates, means, standard deviations and OR with 95% confidence probability and p-values. Results: Depression prevalence was estimated as 14%. Identified risk factors for depression were being female [OR 1.92 (1.72 – 2.15)]; being ≥ 75 years old (OR 1.56 (1.40 – 1.74)]; lack of education (OR 2.63 (2.35 – 2.95)]; living without a couple [OR 1.32 (1.19 – 1.45)]; living in rural areas [OR 2.12 (1.90 – 2.36)]; being poor [OR 2.30 (2.06 – 2.56)] and having physical disabilities. Conclusions: Depression prevalence in peruvian older adults is substantial. Risk factors were being female, being older, lacking education, living without a couple, living in rural areas, poverty, and physical disabilities.
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