Skip to main content
. 2019 Jun 7;5(1):e12795. doi: 10.2196/12795

Table 4.

Factors (demographics) associated with understanding of specific terms. The number of respondents varies because of missing data.

Terms and factor Odds ratio (95% CI) Model Pa value Model R2b
Odds ratio



Gender (n=176)
.04 .033


Male 1.948 (1.035-3.667)



Female Reference

Meta-analysis



Education (n=175)
<.001 .095


BScc 0.248 (0.107-0571)



MScd Reference


Gender (n=176)
.014 .046


Male 2.221 (1.159-4.259)



Female Reference

Confidence interval



Education (n=175)
<.001 .099


BSc 0.232 (0.097-0.558)



MSc Reference


Gender (n=175)
.05 .030


Male 1.905 (0.991-3.661)



Female Reference


Work settings (n=180)
.001 .109


General hospital 0.697 (0.282-1.722)



Rehabilitation hospital 0.235 (0.098-0.565)



Specialized hospital Reference

Heterogeneity



Education (n=175)
.003 .069


BSc 0.314 (0.140-0.704)



MSc Reference

Publication bias (n=175)



Education
<.001 .121


BSc 0.160 (0.054-0.475)



MSc Reference


Gender (n=176)
.003 .071


Male 2.929 (1.404-6.111)



Female Reference

aIn logistic regression, one level of the independent variable serves as a reference against which the odds of the other levels occurring are determined.

bNagelkerke R2.

cBSc: Bachelor of Science degree.

dMSc: Master of Science degree.