Título
Multimorbidity patterns in older adults: An approach to the complex interrelationships among chronic diseases
Autor
DOLORES MINO LEON
HORTENSIA REYES MORALES
SVETLANA VLADISLAVOVNA DOUBOVA
Ricardo Perez-Cuevas
MARTHA LILIANA GIRALDO RODRIGUEZ
Marcela Agudelo Botero
Nivel de Acceso
Acceso Abierto
Materias
MEDICINA Y CIENCIAS DE LA SALUD - (CTI) Ciencias médicas - ([Archives of Medical Research (0188-4409) Vol. 48 (2017)]) Ciencias clínicas - ([Archives of Medical Research (0188-4409) Vol. 48 (2017)]) Geriatría - ([Archives of Medical Research (0188-4409) Vol. 48 (2017)]) Salud pública - ([Archives of Medical Research (0188-4409) Vol. 48 (2017)]) Public health - ([Archives of Medical Research (0188-4409) Vol. 48 (2017)]) Factores epidemiológicos - ([Archives of Medical Research (0188-4409) Vol. 48 (2017)]) Epidemiologic factors - ([Archives of Medical Research (0188-4409) Vol. 48 (2017)]) Multimorbilidad - ([Archives of Medical Research (0188-4409) Vol. 48 (2017)]) Multimorbidity - ([Archives of Medical Research (0188-4409) Vol. 48 (2017)]) Enfermedades crónicas - ([Archives of Medical Research (0188-4409) Vol. 48 (2017)]) Chronic diseases - ([Archives of Medical Research (0188-4409) Vol. 48 (2017)]) Atención primaria - ([Archives of Medical Research (0188-4409) Vol. 48 (2017)]) Primary health care - ([Archives of Medical Research (0188-4409) Vol. 48 (2017)]) Personas mayores - ([Archives of Medical Research (0188-4409) Vol. 48 (2017)]) Older adults - ([Archives of Medical Research (0188-4409) Vol. 48 (2017)])
Resumen o descripción
Background and aims: There is a growing need for evidence based answers to multimorbidity, especially in primary care settings. The aim was estimate the prevalence and patterns of multimorbidity in a Mexican population of public health institution users ≥60 years old.
Methods: Observational and multicenter study was carried out in four family medicine units in Mexico City; included older men and women who attended at least one consultation with their family doctor during 2013. The most common diseases were grouped into 11 domains. The observed and expected rates, as well as the prevalence ratios, were calculated for the pairs of the more common domains. Logistic regression models were developed to estimate the magnitude of the association. Cluster and principal components analyses were performed to identify multimorbidity patterns.
Results: Half of all of the patients who were ≥60 years old and treated by a family doctor had multimorbidity. The most common disease domains were hypertensive and endocrine diseases. The highest prevalence of multimorbidity concerned the renal domain. The domain pairs with the strongest associations were endocrine + renal and hypertension + cardiac. The cluster and principal components analyses revealed five consistent patterns of multimorbidity.
Conclusions: The domains grouped into five patterns could establish the framework for developing treatment guides, deepen the knowledge of multimorbidity, develop strategies to prevent it, decrease its burden, and align health services to the care needs that doctors face in daily practice.
Editor
Elsevier and IMSS
Fecha de publicación
2017
Tipo de publicación
Artículo
Recurso de información
Formato
Adobe PDF
application/pdf
Fuente
Archives of Medical Research (0188-4409) Vol. 48 (2017)
Idioma
Inglés
Relación
https://www.sciencedirect.com/science/article/abs/pii/S0188440917300528?via%3Dihub
Repositorio Orígen
INSTITUTO NACIONAL DE GERIATRIA
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