Table 2.

The results of the logistic regression modeling the determinants of Internet use as a binary variable exploring its determinants. Rows with significant p values are bolded. OR: odds ration; CI: confidence interval; SE: standard error.

Determinants of Internet Use-Binary Logistic Regression (LR)
Model Terms		${\mathit{e}}^{{\mathit{\beta }}_{\mathit{i}}}/\mathbf{OR}$	95% CI for OR	SE	z-Statistic	p-Value
$\mathrm{Intercept} ({\beta }_0$ )		2.579	1.351–4.918	0.330	2.874	0.004
Long-term medical conditions	No	-	-	-	-	-
	Yes	0.707	0.495–1.012	0.183	−1.896	0.058
Age	Younger than or equal to 18 years	-	-	-	-	-
	Between 19 and 29 years, inclusive	1.401	0.900–2.179	0.225	1.495	0.135
	Between 30 and 39 years, inclusive	2.092	1.051–4.162	0.351	2.102	0.036
	40 years or older	2.260	1.131–4.513	0.353	2.308	0.021
Place of Residence	Sharjah and other northern emirates	-	-	-	-	-
	Abu Dhabi	1.423	0.969–2.092	0.196	1.798	0.072
	Dubai	1.038	0.754–1.430	0.164	0.230	0.818
Marital Status	Unmarried	-	-	-	-	-
	Married	0.464	0.280–0.769	0.257	−2.984	0.003
Health Literacy	Limited Reading Ability	-	-	-	-	-
	Normal Reading Ability	1.101	0.828–1.464	0.146	0.658	0.510
Occupation	Healthcare (nurses, doctors, dentists, pharmacists, healthcare administration, etc.)	-	-	-	-	-
	Housewife	0.663	0.345–1.275	0.334	−1.232	0.218
	Non-healthcare	0.567	0.335–0.960	0.268	−2.114	0.034
	Student—health-related majors	0.882	0.509–1.528	0.281	−0.449	0.654
	Student—other non-health-related majors	0.525	0.289–0.957	0.306	−2.104	0.035
	Unemployed	0.386	0.206–0.725	0.322	−2.959	0.003
Log-Likelihood: −655.80	Log-Likelihood of Null Model: −677.72		Log-Likelihood Ratio p-value: <0.0005