Skip to main content
. 2023 Feb 12;15(4):920. doi: 10.3390/nu15040920

Table 4.

Unadjusted (bivariate analysis) and adjusted (multivariate analysis) relationship between top four reasons why sugar-sweetened beverages (SSBs) are consumed according to sociodemographic variables among U.S. adult SSB consumers—Omnibus Survey, 2021.

Characteristics Reasons Why SSB Are Consumed
Bivariate Analysis
Prevalence (%)
Multivariate Logistic Regression Analysis
Adjusted Odds Ratios (95% CI)
Taste Craving Fizz/bubbles Thirst Taste Craving Fizz/bubble Thirst
Age
18–34 years old 57.2 34.7 * 28.2 * 22.0 1.3 (0.8, 2.1) 2.8 (1.7, 4.8) 2.4 (1.4, 4.1) 1.3 (0.7, 2.3)
35–49 years old 63.4 35.0* 22.4 * 20.9 1.6 (1.0, 2.6) 2.8 (1.7, 4.9) 2.1 (1.2, 3.7) 1.2 (0.7, 2.1)
≥50 years old 51.8 20.4 * 14.8 * 18.7 Referent Referent Referent Referent
Gender
Men 56.1 27.3 20.0 21.6 Referent Referent Referent Referent
Women 56.7 29.4 21.6 19.0 1.1 (0.8, 1.6) 1.1 (0.7, 1.7) 1.1 (0.7, 1.7) 1.0 (0.6, 1.6)
Race/Ethnicity
Black, non-Hispanic 51.0 29.1 13.4 23.5 0.8 (0.5, 1.5) 0.8 (0.4, 1.6) 0.5 (0.2, 1.3) 1.2 (0.6, 2.5)
Hispanic 55.3 25.9 17.5 22.9 0.9 (0.5, 1.6) 0.7 (0.4, 1.3) 0.8 (0.4, 1.5) 1.1 (0.6, 2.0)
Other/multiracial, non-Hispanic 55.3 18.8 24.0 14.9 0.7 (0.4, 1.4) 0.4 (0.2, 1.0) 0.7 (0.3, 1.7) 0.7 (0.3, 1.8)
White, non-Hispanic 58.0 30.6 22.9 19.6 Referent Referent Referent Referent
Education
≤High school 52.7 28.0 19.3 22.1 0.7 (0.4, 1.1) 0.8 (0.5, 1.4) 0.5 (0.3, 1.0) 1.2 (0.7, 2.2)
Some college 54.8 28.9 21.4 22.1 0.6 (0.4, 1.0) 0.8 (0.5, 1.4) 0.7 (0.4, 1.2) 1.4 (0.8, 2.4)
College graduate 63.4 28.4 22.3 15.6 Referent Referent Referent Referent
Annual household income
<USD 25,000 38.7 * 26.9 27.1 21.4 0.6 (0.3, 1.1) 1.2 (0.5, 2.6) 2.7 (1.2, 6.1) 1.3 (0.6, 2.9)
USD 25,000–<USD 50,000 52.8 * 32.4 21.6 24.2 0.8 (0.5, 1.4) 1.9 (1.0, 3.6) 1.6 (0.8, 3.3) 1.5 (0.7, 2.8)
USD 50,000–<USD 100,000 61.1 * 30.0 21.5 20.5 1.1 (0.7, 1.7) 1.4 (0.8, 2.3) 1.7 (1.0, 3.0) 1.3 (0.8, 2.3)
≥USD 100,000 60.5 * 25.2 17.2 17.5 Referent Referent Referent Referent
Marital status
Not married 56.3 32.3 24.0 22.1 1.2 (0.8, 1.9) 1.1 (0.7, 1.8) 1.1 (0.7, 1.7) 1.1 (0.7, 1.8)
Married 56.5 25.5 18.4 18.9 Referent Referent Referent Referent
Weight status a (n = 602)
Underweight/healthy weight 58.8 24.9 18.6 16.4 Referent Referent Referent Referent
Overweight 56.8 32.4 20.5 25.2 1.0 (0.7, 1.6) 1.8 (1.1, 3.0) 1.4 (0.8, 2.4) 1.7 (1.0, 3.1)
Obesity 55.0 29.3 20.7 22.2 1.0 (0.7, 1.6) 1.6 (1.0, 2.7) 1.4 (0.8, 2.5) 1.4 (0.8, 2.5)
Census region
Northeast 60.3 34.7 18.4 16.2 1.3 (0.8, 2.2) 1.6 (0.9, 2.9) 1.2 (0.6, 2.3) 0.7 (0.4, 1.3)
Midwest 53.7 24.7 22.4 15.5 10 (0.6, 1.6) 0.7 (0.4, 1.3) 1.3 (0.7, 2.5) 0.6 (0.4, 1.2)
South 55.1 27.4 17.1 25.4 Referent Referent Referent Referent
West 57.5 28.1 27.1 19 1.1 (0.7, 1.8) 1.2 (0.7, 2.1) 1.9 (1.1, 3.4) 0.7 (0.4, 1.3)
Having children (<18 years old) in household
No 56.2 28.4 20.2 21.2 Referent Referent Referent Referent
Yes 56.7 28.4 22.0 18.7 0.9 (0.6, 1.4) 0.8 (0.5, 1.4) 0.8 (0.5, 1.3) 0.8 (0.5, 1.4)
Urbanicity (n = 656)
Urban 54.1 27.0 15.6 19.0 Referent Referent Referent Referent
Rural 52.6 21.8 23.5 16.2 1.0 (0.6, 1.7) 0.7 (0.4, 1.4) 1.6 (0.8, 3.2) 0.7 (0.4, 1.5)
Suburban 59.3 31.9 22.7 22.7 1.4 (0.9, 2.1) 1.2 (0.8, 1.9) 1.6 (0.9, 2.8) 1.3 (0.8, 2.0)

* p < 0.05 across categories based on chi-squares tests. a Weight status was based on calculated body mass index (BMI) (kg/m2): underweight/healthy weight, BMI < 25; overweight, BMI 25–<30; obesity, BMI ≥ 30.