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Table 3 Binary logistic regression analysis of statistically significant variables

From: A sarcopenia prediction model based on the calf maximum muscle circumference measured by ultrasound

Variable

Univariate analysis

Multifactor analysis

P value

OR

95% CI

P value

OR

95% CI

Gender

0.020

2.120

1.124–3.998

0.354

1.585

0.598 ~ 4.197

Age > 70 years old

0.006

2.455

1.295 ~ 4.653

0.008

3.949

1.430 ~ 10.902

ALB<40 g/L

<0.001

7.048

3.538 ~ 14.039

0.008

3.637

1.392 ~ 9.505

BRMT<15 mm

<0.001

4.021

2.088 ~ 7.744

0.002

4.818

1.761 ~ 13.187

CMMC<24 cm

<0.001

30.550

10.088 ~ 92.519

<0.001

38.659

10.135 ~ 147.457

Glh MT<15 mm

<0.001

5.844

2.951 ~ 11.574

0.001

6.102

2.100 ~ 17.731

Gmh MT<15 mm

<0.001

5.758

2.895 ~ 11.452

0.979

1.061

0.013 ~ 88.396

Not eating meat at every meal

0.001

2.975

1.537 ~ 5.759

0.264

1.790

0.644 ~ 4.973

Weekly exercise duration<90 min

0.001

3.295

1.601 ~ 6.779

0.571

1.343

0.484 ~ 3.726

Constant quantity

-4.449

 

<0.001

0.012

 
  1. VLDL: very low density lipoprotein LDL: low density lipoprotein HDL: high density lipoprotein TC: total cholesterol
  2. GLB: globulin ALB: albumin TP: total protein CMMC: Calf muscle maximum circumference MT: muscle thickness
  3. Glh: gastrocnemius lateral head Gmh: gastrocnemius medial head VM: vastus medialis BR: brachioradialis