Figure 1
From: Multimorbidity patterns of and use of health services by Swedish 85-year-olds: an exploratory study
Men’s morbidity clusters. In the tree diagram, the distance between two clusters (or variables) is calculated according to the measure of similarity (Yule’s Q) and the cluster algorithm (average linkage between groups). The shorter the distance, the closer are the clusters. Three to five clusters are obtained by shifting the cut-off (vertical line) between Q values of 0.2 and 0.3. We evaluate that a five-cluster solution identifies most clinically meaningful multi-morbidity. The agglomerative coefficients given to the terminal node in each cluster are: Cluster 1, 0.317 (OR 1.9); Cluster 2, 0.587 (OR 3.8); Cluster 3, 0.62 (OR 4.3); Cluster 4, 0.581 (OR 3.8); Cluster 5, 0.393 (OR 2.3).