Table 3

Bivariate analysis: association between dependent and independent variables (analysis of variance and Spearman’s correlation)

Total QoLPhysical QoLPsychological QoL*Social QoL*Environmental QoL
Quantitative variables
 CPI: control r=0.657; p<0.001 r=0.492; p<0.001 rs =0.654; p<0.001 rs =0.541; p<0.001* r=0.441; p<0.001
 CPI: importance r=0.518; p<0.001 r=0.259; p=0.02 rs =0.558; p<0.001 rs =0.535; p<0.001* r=0.360; p=0.001
 SCIM r=0.292; p=0.01 r=0.281; p=0.01 rs =0.185; p=0.08×x
 Number of health concerns r=−0.239; p=0.03 r=−0.380; p<0.001 rs =−0.248; p=0.02××
Categorical variables
 Province××××P=0.001
 Injury level functional level×××××
 Current employment××××P=0.02
 Education××××P=0.001
 IncomeP=0.001P=0.01××P<0.001
 Asset indicator score (SES)××××P<0.001
 Transport××××P<0.001
 Type of healthcareP=0.03×××P<0.001
 Exercise×P=0.04×××
  • r=Pearson’s correlation coefficient.

  • rs =Spearman’s correlation coefficient.

  • *Psychological and Social domains not normally distributed.

  • ANOVA, analysis of variance; CPI, Community Participation Indicator; QoL, quality of life; SCIM, Spinal Cord Independence Measure; SES, socioeconomic status.