Table 2.
Results of the logistic regression models predicting online health information-seeking behavior.
| Determinants | Total (n=950)a | Male (n=463) | Female (n=487) | ||||
|
|
ORb (95% CI) | P | OR (95% CI) | P | OR (95% CI) | P | |
| Age | 0.99 (0.98-1.00) | .01 | 0.99 (0.98-1.01) | .46 | 0.97 (0.96-0.99) | .002 | |
| Gender (Ref: male) |
1.21 (0.90-1.61) | .21 | -c | - | - | - | |
|
Socioeconomic status (Ref: low) |
.01 |
|
.02 |
|
.57 | ||
|
|
Medium | 1.13 (0.77-1.66) | .54 | 1.07 (0.62-1.86) | .80 | 1.16 (0.67-2.01) | .59 |
|
|
High | 1.82 (1.15-2.88) | .01 | 1.97 (1.06-3.68) | .03 | 1.46 (0.72-2.93) | .29 |
|
General Internet use (Ref: at least sometimes per month) |
<.001 | .005 | <.001 | ||||
|
|
Several times per week | 1.57 (1.02-2.41) | .04 | 1.46 (0.72-2.94) | .29 | 1.70 (0.99-2.94) | .06 |
|
|
Daily | 2.91 (1.92-4.41) | <.001 | 2.50 (1.30-4.78) | .006 | 3.23 (1.86-5.59) | <.001 |
| Patient status: chronically or severely ill (Ref: mildly or not affected) |
1.56 (1.11-2.19) | .01 | 1.22 (0.76-1.95) | .42 | 2.12 (1.28-3.53) | .004 | |
| Perceived relevance of understanding somatic processesd | 1.27 (1.08-1.50) | .005 | 1.22 (0.97-1.53) | .10 | 1.39 (1.09-1.78) | .008 | |
| Strongly interested in information concerning health topics (Ref: weakly or not interested) |
1.89 (1.40-2.54) | <.001 | 1.70 (1.09-2.63) | .02 | 2.07 (1.36-3.14) | .001 | |
| Health-consciousnesse | 1.33 (1.10-1.61) | .004 | 1.46 (1.10-1.94) | .008 | 1.24 (0.95-1.62) | .11 | |
| Satisfaction with general practitionerf | 0.82 (0.70-0.96) | .02 | 0.73 (0.57-0.92) | .008 | 0.91 (0.72-1.14) | .40 | |
| Constant | 0.31 | .000 | 0.35 | .006 | 0.35 | .002 | |
| Hosmer-Lemeshow test (chi-square, df; P) | 11.5, 8; .17 | 12.2, 8; .14 | 4.7, 8; .79 | ||||
| Goodness of fitg (chi-square, df; P) | 116.3, 11; <.001 | 50.2, 10; <.001 | 75.5, 10; <.001 | ||||
| Nagelkerke R ² | .154 | .137 | .192 | ||||
aThe difference between the number of total cases included in the descriptive section and in the logit models is due to the listwise exclusion of missing cases.
bOR: odds ratio.
cThe dash indicates the absence of the variable “gender” in both gender-specific models.
d1 (“strongly disagree”) to 5 (“strongly agree”).
e1 (Generally, I don’t take care of my health” to 5 (“Generally, I take good care of my health”).
f1 (“very unsatisfied”) to 5 (“very satisfied”).
g (−2 Log L compared with −2 Log L of the empty model).