Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/123210
Title: Latent class analysis of multimorbidity patterns and associated outcomes in Spanish older adults: a prospective cohort study
Author: Olaya Guzmán, Beatriz
Moneta, Maria Victoria
Caballero Díaz, Francisco F.
Tyrovolas, Stefanos
Bayes, Ivet
Ayuso Mateos, José Luis
Haro Abad, Josep Maria
Keywords: Envelliment de la població
Morbiditat
Qualitat de vida
Discapacitat física
Salut pública
Epidemiologia
Espanya
Population aging
Morbidity
Quality of life
Disabilities
Public health
Epidemiology
Spain
Issue Date: 18-Aug-2017
Publisher: BioMed Central
Abstract: Abstract BACKGROUND: This study sought to identify multimorbidity patterns and determine the association between these latent classes with several outcomes, including health, functioning, disability, quality of life and use of services, at baseline and after 3 years of follow-up. METHODS: We analyzed data from a representative Spanish cohort of 3541 non-institutionalized people aged 50 years old and over. Measures were taken at baseline and after 3 years of follow-up. Latent Class Analysis (LCA) was conducted using eleven common chronic conditions. Generalized linear models were conducted to determine the adjusted association of multimorbidity latent classes with several outcomes. RESULTS: 63.8% of participants were assigned to the 'healthy' class, with minimum disease, 30% were classified under the 'metabolic/stroke' class and 6% were assigned to the 'cardiorespiratory/mental/arthritis' class. Significant cross-sectional associations were found between membership of both multimorbidity classes and poorer memory, quality of life, greater burden and more use of services. After 3 years of follow-up, the 'metabolic/stroke' class was a significant predictor of lower levels of verbal fluency while the two multimorbidity classes predicted poor quality of life, problems in independent living, higher risk of hospitalization and greater use of health services. CONCLUSIONS: Common chronic conditions in older people cluster together in broad categories. These broad clusters are qualitatively distinct and are important predictors of several health and functioning outcomes. Future studies are needed to understand underlying mechanisms and common risk factors for patterns of multimorbidity and to propose more effective treatments.
Note: Reproducció del document publicat a: https://doi.org/10.1186/s12877-017-0586-1
It is part of: BMC Geriatrics, 2017, vol. 17, num. 1, p. 186
URI: http://hdl.handle.net/2445/123210
Related resource: https://doi.org/10.1186/s12877-017-0586-1
ISSN: 1471-2318
Appears in Collections:Articles publicats en revistes (Medicina)

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