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Table 5 Factor loading matrix after rotation

From: Clinical phenotypes of comorbidities in end-stage knee osteoarthritis: a cluster analysis

 Rotated component matrixa

Component

1

2

3

4

5

6

7

8

9

Anxiety

0.906

0.006

0.043

-0.022

0.042

0.016

0.067

0.035

0.114

Depression

0.896

-0.002

-0.016

0.013

0.086

0.077

0.094

0.020

-0.020

Hyperlipidemia

0.004

0.813

-0.067

0.143

-0.060

0.054

-0.158

-0.184

-0.004

Diabetes

-0.008

0.797

.220

-0.082

0.037

0.038

0.190

0.186

-0.026

Liver disease

-0.045

0.051

.906

-0.097

0.026

0.081

0.068

0.018

-0.036

Obesity

0.212

.190

.565

0.379

-0.058

0.034

-0.319

-0.214

-0.008

Hyperuricemia

-0.033

.050

-.027

0.928

0.054

0.045

0.066

0.118

-0.001

Stroke

0.105

-.059

-.026

0.009

0.931

-0.038

0.013

-0.029

0.089

Hypertension

0.048

.377

.129

0.187

0.432

0.351

-0.141

0.157

-0.072

Coronary Heart Disease

0.079

0.067

0.075

0.030

-0.009

0.960

-0.029

-0.021

0.054

Rheumatoid arthritis

0.168

0.006

-0.006

0.057

-0.025

-0.044

0.921

-0.067

0.027

Chronic Kidney Disease

0.053

0.006

-0.046

0.103

0.002

-0.003

-0.058

0.942

0.034

Sleep disorders

0.083

-0.030

-0.038

-0.003

0.070

0.044

0.027

0.034

0.985

  1. Extraction Method: principal component analysis
  2. Rotation Method:Varimax with Kaiser Normalization
  3. aRotation converged in 6 iterations