Table 4

Multivariate ordinal logistic regression models (n=211)

VariablesI model: NVS as dependent variable*II model: HLS-EU-Q16 as dependent variable†
OR (95% CI)P>zOR (95% CI)P>z
Age class
 >6511
 56–652.13 (0.96 to 4.70)0.0601.45 (0.66 to 3.18)0.357
 46–555.84 (2.33 to 14.65)<0.0011.60 (0.69 to 3.73)0.271
 18–457.17 (2.70 to 19.04)<0.0011.95 (0.83 to 4.61)0.126
Educational level
 Less than high school diploma11
 High school degree1.90 (0.86 to 4.17)0.1100.65 (0.30 to 1.42)0.285
 Bachelor’s degree and higher3.78 (1.70 to 8.42)0.0011.31 (0.62.83)0.493
Financial resources at disposal from own or family income enough to get to the end of the month
 Not enough11
 Barely enough1.76 (0.49 to 6.37)0.3862.31 (0.61 to 8.69)0.215
 Enough3.40 (0.97 to 11.94)0.0571.87 (0.52 to 6.71)0.336
 More than enough2.91 (0.73 to 11.64)0.1313.91 (0.98 to 15.60)0.054
  • In the first model, dependent variable: NVS (three levels); in the second model, dependent variable: HLS-EU-Q16 (three levels)

  • *LR χ2(10)=50.6; prob>χ2<0.001; log likelihood=–163.36457; pseudo R2=0.1341.

  • †LR χ2(10)=15.64; rob>χ2=0.0479; log likelihood=–192.14072; pseudo R2=0.0391.

  • HLS-EU-Q16, European Health Literacy Survey Questionnaire.