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. 2018 May 26;10(1):61–66. doi: 10.1016/j.shaw.2018.05.004

Table 5.

A hierarchical regression showing predictors of WMSDs

B Std. error β p R R2 ΔR2
Step 1
(Constant) 32.656 1.986 0.000 0.073 0.005
Sex −1.088 1.067 −0.057 0.309
Age 0.349 0.455 0.043 0.445
Step 2
(Constant) 18.719 3.891 0.000 0.237 0.056 0.051
Sex −0.804 1.043 −0.042 0.441
Age 0.408 0.444 0.050 0.359
WD 0.458 0.111 0.226 0.000
Step 3
(Constant) 11.071 4.307 0.011 0.313 0.098 0.042
Sex −0.412 1.026 −0.022 0.688
Age 0.120 0.442 0.015 0.787
WD 0.359 0.112 0.177 0.001
TCs 0.282 0.074 0.214 0.000
Step 4
(Constant) 14.083 4.349 0.001 0.355 0.126 0.028
Sex −0.674 1.015 −0.035 0.507
Age 0.012 0.437 0.002 0.978
WD 0.271 0.114 0.134 0.017
TCs 0.294 0.073 0.224 0.000
WD × TC −0.049 0.015 −0.174 0.002

B, unstandardized beta; Std. error, standard error; TCs, task characteristics; β, standardized beta; R2, R square; ΔR2, R2 change; p, significance level; WD, work demand; WD × TC, work demand × task characteristics.