Skip to main content
. 2020 Oct 5;10(10):e035987. doi: 10.1136/bmjopen-2019-035987

Table 4.

Multivariate ordinal logistic regression models (n=211)

Variables I model: NVS as dependent variable* II model: HLS-EU-Q16 as dependent variable†
OR (95% CI) P>z OR (95% CI) P>z
Age class
 >65 1 1
 56–65 2.13 (0.96 to 4.70) 0.060 1.45 (0.66 to 3.18) 0.357
 46–55 5.84 (2.33 to 14.65) <0.001 1.60 (0.69 to 3.73) 0.271
 18–45 7.17 (2.70 to 19.04) <0.001 1.95 (0.83 to 4.61) 0.126
Educational level
 Less than high school diploma 1 1
 High school degree 1.90 (0.86 to 4.17) 0.110 0.65 (0.30 to 1.42) 0.285
 Bachelor’s degree and higher 3.78 (1.70 to 8.42) 0.001 1.31 (0.62.83) 0.493
Financial resources at disposal from own or family income enough to get to the end of the month
 Not enough 1 1
 Barely enough 1.76 (0.49 to 6.37) 0.386 2.31 (0.61 to 8.69) 0.215
 Enough 3.40 (0.97 to 11.94) 0.057 1.87 (0.52 to 6.71) 0.336
 More than enough 2.91 (0.73 to 11.64) 0.131 3.91 (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.