title: [Multimorbidity patterns in young adults in Catalonia: an analysis of clusters].
abstract: OBJECTIVE
  The aim of this study was to identify multimorbidity patterns in patients from 19 to 44 years attended in primary care in Catalonia in 2010.
  
  
  METHODS
  Cross-sectional study.
  
  
  METHODS
  251 primary care centres.
  
  
  METHODS
  530,798 people with multimorbidity, aged 19 to 44 years.
  
  
  METHODS
  Multimorbidity was defined as the coexistence of ≥2 more International Classification system (ICD-10) registered in the electronic health record. Multimorbidity patterns were identified using hierarchical cluster analysis and by sex and age group (19-24 and 25-44).
  
  
  RESULTS
  Of the 882,708 people from initial population, 530,798 (60.1%) accomplished multimorbidity criterion. Mean age was 33.0 years (SD: 7.0) and 53.3% were women. Multimorbidity was higher in the 25-to 44-years-old group with respect the younger group (60.5 vs. 58.1%, p<0.001), being higher in women. Most prevalent cluster in all groups included, among others, by dental caries, smoking, dorsalgia, common cold and other anxiety disorders. For both sexes in the 25-to 44-years-old group appeared the cardiovascular-endocrine-metabolic pattern (obesity, lipid disorders and arterial hypertension).
  
  
  CONCLUSIONS
  Multimorbidity affects more than half of persons between 19 to 44-years-old. The most prevalent cluster is formed by grouping common diseases (dental caries, common cold, smoking, anxiety disorders and dorsalgias). Another pattern to highlight is the cardiovascular-endocrine-metabolic pattern in the 25- to 44 years-old group. Knowledge of patterns of multimorbidity in young adults could be used to design individualized preventive strategies.
authors.affiliation: Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, España; Universitat Autònoma de Barcelona, Bellaterra, Cerdanyola del Vallès, España; Institut Català de la Salut, Cataluña, España. Electronic address: cviolan@idiapjgol.org.
authors.forename: Concepción
authors.initials: C
authors.lastname: Violán
authors.affiliation: Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, España; Universitat Autònoma de Barcelona, Bellaterra, Cerdanyola del Vallès, España; Hospital de Campdevànol, Campdevànol, España.
authors.forename: Quintí
authors.initials: Q
authors.lastname: Foguet-Boreu
authors.affiliation: Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, España; Universitat Autònoma de Barcelona, Bellaterra, Cerdanyola del Vallès, España.
authors.forename: Albert
authors.initials: A
authors.lastname: Roso-Llorach
authors.affiliation: Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, España; Universitat Autònoma de Barcelona, Bellaterra, Cerdanyola del Vallès, España.
authors.forename: Teresa
authors.initials: T
authors.lastname: Rodriguez-Blanco
authors.affiliation: Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, España; Universitat Autònoma de Barcelona, Bellaterra, Cerdanyola del Vallès, España.
authors.forename: Mariona
authors.initials: M
authors.lastname: Pons-Vigués
authors.affiliation: Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, España; Universitat Autònoma de Barcelona, Bellaterra, Cerdanyola del Vallès, España; Institut Català de la Salut, Cataluña, España.
authors.forename: Enriqueta
authors.initials: E
authors.lastname: Pujol-Ribera
authors.affiliation: Health Services & Policy Research Group, School of Medicine, University of Exeter, Exeter, EX1 2LU, Gran Bretaña.
authors.forename: Jose M
authors.initials: JM
authors.lastname: Valderas
mesh_terms: D000328:Adult; D000367:Age Factors; D015897:Comorbidity; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008297:Male; D000076322:Multimorbidity; D013030:Spain / Q000453:epidemiology; D055815:Young Adult
keywords: Adultos; Adults; Atención primaria; Centros de salud; Cluster analysis; Clúster análisis; Multimorbidity; Multimorbidity patterns; Multimorbilidad; Patrones de multimorbilidad; Primary care; Primary care centres