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. 2016 Feb 25;40(3):329–337. doi: 10.1080/10790268.2016.1139771

Table 2.

Moderated multiple regression analysis to assess the moderating effect of dichotomous variables on the association between C-reactive protein (CRP) and health-related quality of life

Independent Variable Dichotomous moderator R R2 Adjusted R2 R2 Change F Change P-value
CRP Sex Model 1 0.301 0.091 0.068 0.091 4.048 0.021
Model 2 0.302 0.091 0.057 0.001 0.045 0.832
Injury completeness Model 1 .318 .101 0.079 0.101 4.541 0.014
Model 2 0.337 0.114 0.080 0.013 1.159 0.285
Plegia type Model 1 0.298 0.089 0.066 0.089 3.956 0.023
Model 2 0.299 0.090 0.055 0.001 0.054 0.817
Leptin Sex Model 1 0.103 0.011 -0.024 0.011 0.306 0.738
Model 2 0.115 0.013 -0.040 0.003 0.144 0.706
Injury completeness Model 1 0.248 0.062 0.029 0.062 1.872 0.163
Model 2 0.262 0.069 0.019 0.007 0.416 0.522
Plegia type Model 1 0.102 0.010 -0.024 0.010 0.297 0.744
Model 2 0.123 0.015 -0.038 0.005 0.276 0.601

Dependent variable was set as total score of SF-36 questionnaire and the interaction item was calculated by multiplying independent variable and dichotomous moderator each time.