Table. 3.

Odds ratios and 95% CI from multiple variable logistic regression models correlating demographic characteristics, eating behaviors, and household food-related hardship with consumption of sugar-sweetened beverages among 734 urban adults^a

Variable	OR (95% CI)	p-Value
Demographic characteristics
Income
Poverty	1.91 (0.99, 3.68)	0.054
Low income	2.08 (1.00, 4.31)	0.050
Above low income	1.0
Children in householdb	1.89 (1.14, 3.14)	0.014
Eating behaviors
Fast food mealsc	1.23 (0.71, 2.13)	0.461
Breakfast mealsd	2.45 (1.42, 4.22)	0.001
Fruit and vegetable
0–2 servings/day	1.50 (0.69, 3.29)	0.306
3–4 servings/day	1.44 (0.69, 3.04)	0.334
≥5 servings/day	1.0
Household food-related hardship
Food not last in past 30 dayse	2.46 (1.38, 4.36)	0.002
Pseudo R2 of model		0.129
Significance of χ2 in model		<0.0001

^aDependent variable is consumption of ≥3 cans/glasses of regular soda or sweet tea on an average day compared with <3 cans/glasses. All variables simultaneously entered; backward elimination of variables not statistically significant.

^b≥1 Child under 18 years living in the household with the adult respondent compared with no children.

^cEat ≥3 fast food meals a week, compared with <3 times a week.

^dEat a regular breakfast meal <3 days a week compared with ≥3 days a week.

^eIn the last month, food bought didn't last and there was not enough money to buy more compared with food did last.