Table 2. Predictor factors of DS consumption using binary logistic regression.

	Univariate			Multivariate
Predictor factors	p-value	COR	95% CI	p-value	AOR	95% CI
Age
18-25	0.618	0.718	0.196-2.633
26-35	0.589	1.477	0.358-6.096
36-45	0.331	2.104	0.470-9.428
46-55	0.361	2.045	0.441-9.491
>55		1
Sex
Male	0.939	0.984	0.651-1.488
Female		1
Location
Main Island	0.495	1.196	0.715-1.999
Outside Main Island		1
Education
High School graduate	0.005	0.373	0.187-0.747
Diploma or Undergraduate	0.235	0.647	0.315-1.328
Post graduate		1
Work
Employed	0.000	2.341	1.454-3.768
Unemployed		1
Field
Health-related	0.096	1.418	0.940-2.138	0.016	1.733	1.109-2.709
Non-health-related		1
Confirmed COVID-19
Never	0.011	0.475	0.268-0.841	0.031	0.524	0.291-0.944
Ever		1
Marital status
Married	0.000	2.484	1.489-4.145
Unmarried		1
Economy status
Below average	0.003	0.260	0.107-0.629	0.012	0.309	0.124-0.769
Average	0.292	0.745	0.431-1.288
Upper average		1

Notes: Chi-square for multivariate analysis 1.505, p=0.982, Variables with p-value<0.25 in univariate analysis were subjected to multivariate analysis. Variables with p-value<0.05 in multivariate analysis were subjected as significant predictive factors. AOR: adjusted odds ratio; COR: crude odds ratio; 95% CI: 95% confidence interval