Table 3

Equations predicting log (MVIC) using age, height and sex as variables (n = 96 subjects)
Muscle function Side a b c d SDlog(MVIC) Adjusted R2
(Intercept) (Age coeff) (Height coeff) (Sex coeff)
Handgrip ND 2.4555 0.0501 0.0152 −0.0727 0.2120 0.781
D 2.2692 0.0416 0.0177 −0.1012 0.1925 0.826
Elbow flexion ND −0.5433 0.0298 0.0226 −0.0590 0.1603 0.894
D −0.5674 0.0317 0.0230 −0.0310 0.1840 0.870
Elbow extension ND 0.0289 0.0319 0.0170 −0.0866 0.1950 0.791
D −0.0278 0.0321 0.0175 −0.0816 0.1893 0.807
Knee flexion ND 0.4470 0.0372 0.0190 −0.0687 0.1935 0.830
D 0.2679 0.0421 0.0203 −0.1368 0.2029 0.841
Knee extension ND 0.4991 0.0182 0.0245 −0.0148 0.2251 0.809
D 0.8783 0.0487 0.0199 −0.0239 0.2085 0.838

ND: non-dominant hand side; D: dominant hand side.

Handgrip strength is expressed in N; all other muscle functions are expressed in N.m. Age is expressed in years, height in cm, sex is 1 for girls and 0 for boys. SDlog(MVIC) is the residual standard deviation of the regression. The equation takes the form: log(MVIC) = a + b.age + c.height + d.sex, where a, b, c and d are the regression coefficients given in the table.

Hogrel et al.

Hogrel et al. BMC Musculoskeletal Disorders 2012 13:176   doi:10.1186/1471-2474-13-176

Open Data