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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

VariableRR squareSEFpRegression equation
Young group (n = 80)
 HGS, D0.620.389.3648.240.001y = −0.80 *x + 52.61
 SD1, D0.220.050.394.040.048y = −0.01 *x + 0.99
 SD2, D0.640.410.8354.520.001y = 0.08 *x + 1.87
 SD1/SD2, D0.370.130.1112.160.001y = −0.01 *x + 0.46
 AFE, D0.500.258.1426.580.001y = 0.52 *x + 2.92
 HGS, ND0.530.289.6030.770.001y = −0.56 *x + 45.61
 SD1, ND0.020.0010.330.05y = 0.001 *x + 1.12
 SD2, ND0.510.261.0326.880.001y = 0.06 *x + 2.16
 SD1/SD2, ND0.470.220.1221.550.001y = −0.01 *x + 0.49
 AFE, ND0.370.147.1612.240.001y = 0.26 *x + 6.77
Older group (n = 80)
 HGS, D0.710.515.8181.210.001y = −0.37 *x + 41
 SD1, D0.300.090.257.990.006y = −0.01 *x + 1.80
 SD2, D0.530.281.4630.690.001y = 0.06 *x + 3.37
 SD1/SD2, D0.680.460.1367.680.001y = −0.01 *x + 0.63
 AFE, D0.400.167.9715.260.001y = 0.22 *x + 19.34
 HGS, ND0.810.654.43147.520.001y = −0.47 *x + 44.15
 SD1, ND0.120.020.241.24y = −0.002 *x + 1.65
 SD2, ND0.260.071.635.800.018y = 0.03 *x + 3.96
 SD1/SD2, ND0.390.150.1113.970.001y = −0.004 *x + 0.47
 AFE, ND0.160.038.812.07y = 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