Table 5.
Predictor variables of binary logistic regression (children=0; adult=1).
| Relevance of semantic features to outcomes | Values | ||||||||
|
|
β (SE) | Wald test | P value | ORa (95% CI) | |||||
| Semantic features related to higher ORs of health texts on children’s health | |||||||||
|
|
Z6 | −0.252 (0.061) | 16.966 | <.001 | 0.778 (0.690-0.876) | ||||
|
|
X8 | −0.228 (0.127) | 3.233 | .07 | 0.796 (0.621-1.021) | ||||
|
|
S4 | −0.195 (0.050) | 15.351 | <.001 | 0.823 (0.746-0.907) | ||||
|
|
X3 | −0.134 (0.033) | 16.715 | <.001 | 0.875 (0.820-0.933) | ||||
|
|
A5 | −0.104 (0.038) | 7.418 | .006 | 0.902 (0.837-0.971) | ||||
|
|
A14 | −0.063 (0.144) | 0.192 | .66 | 0.939 (0.707-1.246) | ||||
|
|
M1 | −0.054 (0.039) | 1.927 | .17 | 0.948 (0.878-1.022) | ||||
|
|
F1 | −0.038 (0.011) | 11.374 | .001 | 0.963 (0.942-0.984) | ||||
|
|
A13 | −0.036 (0.042) | 0.744 | .39 | 0.965 (0.889-1.047) | ||||
|
|
Z8 | −0.021 (0.008) | 7.589 | .006 | 0.979 (0.964-0.994) | ||||
| Semantic features related to higher ORs of health texts on adults’ health | |||||||||
|
|
A11 | 0.030 (0.086) | 0.124 | .73 | 1.031 (0.871-1.219) | ||||
|
|
B2 | 0.032 (0.013) | 6.397 | .01 | 1.032 (1.007-1.058) | ||||
|
|
B3 | 0.066 (0.019) | 12.425 | <.001 | 1.068 (1.030-1.108) | ||||
|
|
Z99 | 0.067 (0.011) | 35.849 | <.001 | 1.069 (1.046-1.093) | ||||
|
|
X9 | 0.118 (0.064) | 3.400 | .07 | 1.126 (0.993-1.277) | ||||
|
|
S8 | 0.162 (0.040) | 16.137 | <.001 | 1.176 (1.087-1.273) | ||||
|
|
S5 | 0.248 (0.057) | 19.056 | <.001 | 1.281 (1.146-1.432) | ||||
|
|
S1 | 0.279 (0.085) | 10.703 | .001 | 1.322 (1.118-1.562) | ||||
|
|
A12 | 0.297 (0.102) | 8.573 | .003 | 1.346 (1.103-1.642) | ||||
|
|
A15 | 0.665 (0.192) | 12.003 | .001 | 1.945 (1.335-2.833) | ||||
aOR: odds ratio.