This paper is in the following e-collection/theme issue:

Public Health Informatics (78) Longitudinal and Cohort Studies in Public Health (254) Electronic Health Records (961) Frailty Detection, Assessment and Prediction (19)

Published on in Vol 9 (2023)

This is a member publication of IDIAP Jordi Gol

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45848, first published .
Contribution of Frailty to Multimorbidity Patterns and Trajectories: Longitudinal Dynamic Cohort Study of Aging People

Contribution of Frailty to Multimorbidity Patterns and Trajectories: Longitudinal Dynamic Cohort Study of Aging People

Contribution of Frailty to Multimorbidity Patterns and Trajectories: Longitudinal Dynamic Cohort Study of Aging People

Authors of this article:

Lucía A Carrasco-Ribelles1, 2, 3, 4, 5 Author Orcid Image ;   Margarita Cabrera-Bean2 Author Orcid Image ;   Marc Danés-Castells3 Author Orcid Image ;   Edurne Zabaleta-del-Olmo1, 4, 5, 6, 7 Author Orcid Image ;   Albert Roso-Llorach1, 4, 5, 8 Author Orcid Image ;   Concepción Violán3, 4, 5, 8, 9 Author Orcid Image
Article Authors Cited by (2) Tweetations (29) Metrics

Journals

  1. Dhafari T, Pate A, Azadbakht N, Bailey R, Rafferty J, Jalali-najafabadi F, Martin G, Hassaine A, Akbari A, Lyons J, Watkins A, Lyons R, Peek N. A scoping review finds a growing trend in studies validating multimorbidity patterns and identifies five broad types of validation methods. Journal of Clinical Epidemiology 2024;165:111214 View
  2. Ioakeim-Skoufa I, González-Rubio F, Aza-Pascual-Salcedo M, Laguna-Berna C, Poblador-Plou B, Vicente-Romero J, Coelho H, Santos-Mejías A, Prados-Torres A, Moreno-Juste A, Gimeno-Miguel A. Multimorbidity patterns and trajectories in young and middle-aged adults: a large-scale population-based cohort study. Frontiers in Public Health 2024;12 View