2026-04-17T04:03:28Zhttps://recercat.cat/oai/requestoai:recercat.cat:20.500.12328/40762025-05-16T12:51:08Zcom_2072_67741col_2072_484352
Multimorbidity patterns in low-middle and high income regions: a multiregion latent class analysis using ATHLOS harmonised cohorts
Bayés Marín, Ivet
Sanchez-Niubo, Albert
Egea Cortés, Laia
Nguyen, Hai
Prina, Matthew
Fernández, Daniel
Haro, Josep Maria
Olaya, Beatriz
high-income country (HICs)
Latent class analysis (LCA)
Low- and middle-income countries (LMICs)
Multimorbidity
Non-communicable diseases (NCDs)
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.
2020
info:eu-repo/semantics/article
2044-6055
http://hdl.handle.net/20.500.12328/4076
10.1136/bmjopen-2019-034441
eng
BMJ Publishing Group
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/embargoedAccess
Attribution-NonCommercial-NoDerivatives 4.0 International
BMJ Publishing Group