Multimorbidity patterns in low-middle and high income regions: a multiregion latent class analysis using ATHLOS harmonised cohorts

Our aim was to determine clusters of non-communicable diseases (NCDs) in a very large, population-based sample of middle-aged and older adults from low- and middle-income (LMICs) and high-income (HICs) regions. Additionally, we explored the associations with several covariates.

Bibliographic Details
Authors: Bayés Marín, Ivet, Sanchez-Niubo, Albert, Egea Cortés, Laia, Nguyen, Hai, Prina, Matthew, Fernández, Daniel, Haro, Josep Maria, Olaya, Beatriz
Format: article
Publication Date:2020
Country:España
Institution:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repository:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:20.500.12328/4076
Online Access:http://hdl.handle.net/20.500.12328/4076
Access Level:Embargoed access
Keyword:high-income country (HICs)
Latent class analysis (LCA)
Low- and middle-income countries (LMICs)
Multimorbidity
Non-communicable diseases (NCDs)
61
Description
Summary:Our aim was to determine clusters of non-communicable diseases (NCDs) in a very large, population-based sample of middle-aged and older adults from low- and middle-income (LMICs) and high-income (HICs) regions. Additionally, we explored the associations with several covariates.

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