Skip to main content
. 2020 Oct 29;27(1):58–66. doi: 10.1159/000510922

Table 2.

Binary logistic regression analysis of 749 participants searching for health information on the Internet

Outcome Predictor β SE β χ2 (Wald's) df p value eβ (odds ratio) 95% CI for eβ
lower upper
CIUS (low vs. high) Age Education (below university level) 0.00 0.00 0.16 1 0.69 1.00 0.99 1.02
0.16 0.20 0.62 1 0.43 1.17 0.79 1.74
Sex (male) 0.53 0.21 6.43 1 <0.05 1.69 1.13 2.54
CSS 0.06 0.00 91.45 1 <0.001 1.06 1.05 1.07
IUS-SF −0.01 0.01 0.67 1 0.41 0.99 0.97 1.02
OCI-R 0.01 0.01 1.91 1 0.17 1.01 0.99 1.03
PHQ-15 −0.03 0.03 1.19 1 0.28 0.97 0.92 1.02
PROMIS 0.03 0.02 2.19 1 0.14 1.03 0.99 1.08
Constant −5.86 0.65 81.94 1 0.00 0.00

Regarding education and sex, the group of reference was participants with “any university level” and female, respectively. CIUS, Compulsive Health-Related Internet Use Scale; CSS, Cyberchondria Severity Scale; IUS-SF, Intolerance of Uncertainty Scale, 12-item version; OCI-R, Obsessive-Compulsive Inventory Revised; PHQ-15, Patient Health Questionnaire-15 Somatic Symptom Severity Scale; PROMIS, Patient-Reported Outcomes Measurement Information System Emotional Distress − Short Form Questionnaire; CIUS, Compulsive Internet Use Scale.