Table 3. A table of measures demonstrating the ‘quality’ of each cluster component.
Variable | ||||
Cluster 1 | Trig | 0.735 | 0.076 | 0.287 |
HDL | 0.735 | 0.12 | 0.301 | |
Cluster 2 | SBP | 0.785 | 0.058 | 0.228 |
DBP | 0.785 | 0.031 | 0.222 | |
Cluster 3 | Ins | 0.542 | 0.208 | 0.579 |
PCIns | 0.704 | 0.149 | 0.348 | |
Glu | 0.42 | 0.035 | 0.601 | |
PCGlu | 0.624 | 0.044 | 0.394 | |
Cluster 4 | BMI | 0.73 | 0.17 | 0.325 |
WHR | 0.73 | 0.087 | 0.296 |
The demonstrate the of the variable when regressed on the remaining variables in the cluster to which it is assigned. The is the greatest when the variable is regressed on any other cluster produced in the analysis. The is a measure of cluster ‘quality’. When a variable has a high within its own cluster and low to any other, the variable demonstrates a strong fit to the cluster in whch it is assigned. Abbreviation: Fasting insulin (Ins), postchallenge insulin (PCIns), fasting glucose (Glu), postchallenge glucose (PCGlu), body mass index (BMI), waist/hip ratio (WHR), high density lipoprotein cholesterol (HDL), triglycerides (Trig), systolic blood pressure (SBP), diastolic blood pressure (DBP).