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Table 6 Results of the simple linear regression analysis for the effect of fatigue on recorded parameters in young and older groups

From: Hand grip strength variability during serial testing as an entropic biomarker of aging: a Poincaré plot analysis

Variable

R

R square

SE

F

p

Regression equation

Young group (n = 80)

 HGS, D

0.62

0.38

9.36

48.24

0.001

y = −0.80 *x + 52.61

 SD1, D

0.22

0.05

0.39

4.04

0.048

y = −0.01 *x + 0.99

 SD2, D

0.64

0.41

0.83

54.52

0.001

y = 0.08 *x + 1.87

 SD1/SD2, D

0.37

0.13

0.11

12.16

0.001

y = −0.01 *x + 0.46

 AFE, D

0.50

0.25

8.14

26.58

0.001

y = 0.52 *x + 2.92

 HGS, ND

0.53

0.28

9.60

30.77

0.001

y = −0.56 *x + 45.61

 SD1, ND

0.02

0.001

0.33

0.05

y = 0.001 *x + 1.12

 SD2, ND

0.51

0.26

1.03

26.88

0.001

y = 0.06 *x + 2.16

 SD1/SD2, ND

0.47

0.22

0.12

21.55

0.001

y = −0.01 *x + 0.49

 AFE, ND

0.37

0.14

7.16

12.24

0.001

y = 0.26 *x + 6.77

Older group (n = 80)

 HGS, D

0.71

0.51

5.81

81.21

0.001

y = −0.37 *x + 41

 SD1, D

0.30

0.09

0.25

7.99

0.006

y = −0.01 *x + 1.80

 SD2, D

0.53

0.28

1.46

30.69

0.001

y = 0.06 *x + 3.37

 SD1/SD2, D

0.68

0.46

0.13

67.68

0.001

y = −0.01 *x + 0.63

 AFE, D

0.40

0.16

7.97

15.26

0.001

y = 0.22 *x + 19.34

 HGS, ND

0.81

0.65

4.43

147.52

0.001

y = −0.47 *x + 44.15

 SD1, ND

0.12

0.02

0.24

1.24

y = −0.002 *x + 1.65

 SD2, ND

0.26

0.07

1.63

5.80

0.018

y = 0.03 *x + 3.96

 SD1/SD2, ND

0.39

0.15

0.11

13.97

0.001

y = −0.004 *x + 0.47

 AFE, ND

0.16

0.03

8.81

2.07

y = 0.11 *x + 21.66

  1. HGS hand grip strength, D dominant, ND nondominant, SD standard deviation, AFE area of the fitting ellipse, n number of subjects, R coefficient of correlation, R square coefficient of determination, SE standard error, F value of F-test for overall significance, p thresholds of statistical significance, x the predictor variable (fatigue), y the outcome variable