000168179 001__ 168179
000168179 005__ 20260128122451.0
000168179 0247_ $$2doi$$a10.1371/journal.pone.0032190
000168179 0248_ $$2sideral$$a76632
000168179 037__ $$aART-2012-76632
000168179 041__ $$aeng
000168179 100__ $$0(orcid)0000-0002-5704-6056$$aPrados-Torres, A.$$uUniversidad de Zaragoza
000168179 245__ $$aMultimorbidity patterns in primary care: Interactions among chronic diseases using factor analysis
000168179 260__ $$c2012
000168179 5060_ $$aAccess copy available to the general public$$fUnrestricted
000168179 5203_ $$aObjectives
The primary objective of this study was to identify the existence of chronic disease multimorbidity patterns in the primary care population, describing their clinical components and analysing how these patterns change and evolve over time both in women and men. The secondary objective of this study was to generate evidence regarding the pathophysiological processes underlying multimorbidity and to understand the interactions and synergies among the various diseases.
Methods
This observational, retrospective, multicentre study utilised information from the electronic medical records of 19 primary care centres from 2008. To identify multimorbidity patterns, an exploratory factor analysis was carried out based on the tetra-choric correlations between the diagnostic information of 275,682 patients who were over 14 years of age. The analysis was stratified by age group and sex.
Results
Multimorbidity was found in all age groups, and its prevalence ranged from 13% in the 15 to 44 year age group to 67% in those 65 years of age or older. Goodness-of-fit indicators revealed sample values between 0.50 and 0.71. We identified five patterns of multimorbidity: cardio-metabolic, psychiatric-substance abuse, mechanical-obesity-thyroidal, psychogeriatric and depressive. Some of these patterns were found to evolve with age, and there were differences between men and women.
Conclusions
Non-random associations between chronic diseases result in clinically consistent multimorbidity patterns affecting a significant proportion of the population. Underlying pathophysiological phenomena were observed upon which action can be taken both from a clinical, individual-level perspective and from a public health or population-level perspective.
000168179 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000168179 590__ $$a3.73$$b2012
000168179 591__ $$aMULTIDISCIPLINARY SCIENCES$$b7 / 57 = 0.123$$c2012$$dQ1$$eT1
000168179 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000168179 700__ $$aPoblador-Plou, B.
000168179 700__ $$aCalderón-Larrañaga, A.
000168179 700__ $$0(orcid)0000-0003-2928-6623$$aGimeno-Feliu, L.$$uUniversidad de Zaragoza
000168179 700__ $$0(orcid)0000-0003-2580-2002$$aGonzález-Rubio, F.$$uUniversidad de Zaragoza
000168179 700__ $$aPoncel-Falcó, A.
000168179 700__ $$aSicras-Mainar, A.
000168179 700__ $$0(orcid)0000-0001-7549-8825$$aAlcalá-Nalvaiz, J. T.$$uUniversidad de Zaragoza
000168179 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera.
000168179 7102_ $$11007$$2610$$aUniversidad de Zaragoza$$bDpto. Medicina, Psiqu. y Derm.$$cArea Medicina
000168179 7102_ $$11008$$2615$$aUniversidad de Zaragoza$$bDpto. Microb.Med.Pr.,Sal.Públ.$$cÁrea Medic.Prevent.Salud Públ.
000168179 773__ $$g7, 2 (2012), e32190 [12 pp]$$pPLoS One$$tPLoS ONE$$x1932-6203
000168179 8564_ $$s298964$$uhttps://zaguan.unizar.es/record/168179/files/texto_completo.pdf$$yVersión publicada
000168179 8564_ $$s3211919$$uhttps://zaguan.unizar.es/record/168179/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000168179 909CO $$ooai:zaguan.unizar.es:168179$$particulos$$pdriver
000168179 951__ $$a2026-01-28-11:22:51
000168179 980__ $$aARTICLE