Table 3.

Logistic regression analysis of the variables (questionnaire’s items) that could predict a high level of salty snack product intake among the population of urban living students.

Population	All	High-School Students	University Students
	p	p	p
Gender m/f	0.943	0.401	0.537
Age (years)	<0.001	<0.01	0.378
BMI	0.515	0.464	0.834
Type of snack products	<0.001	<0.001	<0.001
Awareness of SP nutritive value	<0.05	0.540	<0.05
Morning consumption	<0.001	<0.001	<0.01
Midday consumption	<0.001	<0.001	<0.001
Evening consumption	<0.001	<0.001	<0.001
Motivation reasons	0.187	0.245	0.932
Number of main meals	0.117	0.271	0.436
Number of refreshments	<0.001	<0.001	<0.01
Self-perception of overall diet quality	<0.001	<0.001	0.182

p-values present significance level of distinct factors for high snack usage prediction; SP-salty snack product; m/f—male/female.