Related Experiment Video
Updated: Mar 28, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[Multimorbidity patterns in young adults in Catalonia: an analysis of clusters]
Concepción Violán1, Quintí Foguet-Boreu2, Albert Roso-Llorach3
1Institut 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.
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.
Design:
Cross-sectional study.
Setting:
251 primary care centres.
Participants:
530,798 people with multimorbidity, aged 19 to 44 years.
Main Outcome Measures:
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.
More Related Videos
Related Concept Videos
Prevalence and Incidence
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Factors Affecting Illness
For instance, risk factors are connected to illness,...
Bias in Epidemiological Studies
Longitudinal Studies
Dimensions of Health and Illness
Cross-Sectional Research

