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Table 2 Bivariate relationship and multivariate regression data of normal grip strength dominant (multivariate explained variance: 76.6%) (n = 978)

From: Prediction of grip and key pinch strength in 978 healthy subjects

Covariates

Bivariate

 

Multivariate

   
 

Correlation4

Explained variance5

Partial correlation

Explained variance6

Regression coefficient

Coefficient's significance

Constant

-

-

-

-

-28.148

<0.001

Sex1

0.635

40.3%

0.576

33.2%

12.500

<0.001

Age1

-0.460

29.6%

0.187

3.5%

0.372

<0.001

Age2

-0.506

-

-0.263

6.9%

-0.005

<0.001

Height1

0.680

46.2%

0.272

7.4%

0.304

<0.001

Weight1

0.460

21.7%

-0.022

<0.1%

-0.083

0.502

Weight2

0.446

-

0.041

0.2%

0.001

0.198

Occupation1

0.377

24.4%

0.254

6.5%

12.293

<0.001

Occupation2

0.307

-

-0.225

5.1%

-5.865

<0.001

Occupation3

0.284

-

0.200

4.0%

0.897

<0.001

  1. 1 linear: coefficient times variable, 2 quadratic: coefficient times variable2, 3 cubic: coefficient times variable3, 4 Correlation between grip strength and the covariates, e.g. grip strength with age (linear relationship), 5 Explained variance of the optimal bivariate model (maximal explained variance) of grip strength with the covariates, e.g. grip strength = a0 + a1age + a2age2. 6 Partial explained variance of the single regression terms within the optimal multivariate model (maximal explained variance).