Table 2. Prevalence of Sugar-Sweetened Beveragea Intake ≥1 Time Per Day Among Adults (≥18 Years), by Sociodemographic Characteristics and State, Behavioral Risk Factor Surveillance System, 12 States and the District of Columbia, 2017.
| Characteristic | Total, n (%)b | Unadjusted Prevalence of Intake ≥1 Time Per Day, Weighted % (95% Confidence Interval) |
Adjusted Prevalence Ratiod (95% Confidence Interval) | |
|---|---|---|---|---|
| Metropolitanc | Nonmetropolitanc | |||
| Total sample | 68,896 (100.0) | 24.8 (24.0–25.6) | 30.9 (29.7–32.2) | 1.32 (1.26–1.39)e |
| Age group, y (n = 68,896) | ||||
| 18–24 | 3,360 (4.9) | 32.9 (29.9–36.0) | 38.4 (33.0–44.1) | 1.22 (1.04–1.45)e |
| 25–34 | 6,356 (9.2) | 30.4 (28.2–32.7) | 42.5 (38.0–47.1) | 1.45 (1.27–1.65)e |
| 35–54 | 18,615 (27.0) | 27.0 (25.7–28.4) | 36.7 (34.4–39.0) | 1.39 (1.28–1.51)e |
| ≥55 | 40,565 (58.9) | 18.0 (17.1–18.9) | 21.4 (20.1–22.9) | 1.23 (1.13–1.33)e |
| Sex (n = 68,854) | ||||
| Male | 30,048 (43.6) | 28.6 (27.5–29.8) | 36.4 (34.4–38.5) | 1.33 (1.25–1.43)e |
| Female | 38,806 (56.4) | 21.2 (20.2–22.3) | 25.8 (24.3–27.5) | 1.31 (1.22–1.42)e |
| Race/ethnicity (n = 67,750) | ||||
| Non-Hispanic white | 49,827 (73.5) | 22.8 (21.9–23.7) | 29.9 (28.5–31.3) | 1.32 (1.25–1.41)e |
| Non-Hispanic black | 5,869 (8.7) | 33.5 (30.8–36.3) | 36.3 (30.4–42.6) | 1.12 (0.93–1.34) |
| Hispanic | 4,453 (6.6) | 29.7 (27.3–32.2) | 30.3 (23.9–37.5) | 1.01 (0.78–1.30) |
| Non-Hispanic other | 7,601 (11.2) | 21.3 (18.6–24.2) | 41.2 (36.3–46.3) | 2.01 (1.69–2.39)e |
| Education (n = 68,683) | ||||
| <High school graduate | 4,527 (6.6) | 36.9 (34.0–39.9) | 43.7 (39.0–48.5) | 1.12 (0.97–1.29) |
| High school graduate | 18,961 (27.6) | 32.8 (31.2–34.5) | 36.0 (33.8–38.3) | 1.13 (1.04–1.22)e |
| Some college | 18,904 (27.5) | 24.6 (23.2–26.0) | 27.5 (25.4–29.6) | 1.19 (1.08–1.31)e |
| College graduate | 26,291 (38.3) | 13.0 (12.1–13.9) | 18.0 (16.2–20.0) | 1.51 (1.33–1.70)e |
| Employment status (n = 68,482) | ||||
| Employed | 33,481 (48.9) | 25.7 (24.7–26.8) | 33.9 (32.0–35.8) | 1.39 (1.30–1.49)e |
| Not employed | 13,025 (19.0) | 28.6 (26.8–30.5) | 35.7 (32.8–38.6) | 1.25 (1.13–1.39)e |
| Retired | 21,976 (32.1) | 17.4 (16.2–18.7) | 19.1 (17.3–21.0) | 1.14 (1.01–1.28)e |
| Weight statusf (n = 64,931) | ||||
| Underweight/normal weight | 21,608 (33.3) | 23.3 (22.0–24.7) | 30.3 (27.8–32.9) | 1.36 (1.23–1.51)e |
| Overweight | 23,097 (35.6) | 23.4 (22.1–24.7) | 30.4 (28.2–32.7) | 1.36 (1.24–1.49)e |
| Obesity | 20,226 (31.1) | 28.5 (27.1–30.0) | 33.3 (31.2–35.5) | 1.23 (1.13–1.33)e |
| State (n = 68,896) | ||||
| Alaska | 2,797 (4.1) | 22.6 (19.1–26.5) | 24.6 (20.4–29.2) | 1.06 (0.83–1.34) |
| Arizona | 12,651 (18.4) | 26.3 (25.2–27.4) | 34.9 (30.8–39.3) | 1.40 (1.23–1.59)e |
| Arkansas | 4,506 (6.5) | 37.0 (33.5–40.8) | 44.1 (40.0–48.4) | 1.22 (1.07–1.38)e |
| Delaware | 3,517 (5.1) | 26.4 (24.3–28.5) | —g | —g |
| District of Columbia | 3,910 (5.7) | 24.9 (23.1–26.8) | —g | —g |
| Hawaii | 6,723 (9.8) | 20.4 (18.8–22.2) | 20.8 (18.4–23.4) | 1.12 (0.96–1.30) |
| Iowa | 3,220 (4.7) | 26.4 (23.9–29.1) | 27.1 (24.6–29.8) | 1.11 (0.97–1.28) |
| New York | 4,979 (7.2) | 17.8 (16.3–19.4) | 18.2 (14.4–22.8) | 1.27 (1.00–1.62) |
| North Carolina | 3,838 (5.6) | 36.0 (33.5–38.6) | 39.9 (36.2–43.8) | 1.13 (1.01–1.27)e |
| Ohio | 7,237 (10.5) | 26.4 (24.5–28.3) | 30.5 (27.7–33.5) | 1.21 (1.07–1.37)e |
| Vermont | 5,692 (8.3) | 17.1 (14.3–20.3) | 17.0 (15.3–18.7) | 1.05 (0.86–1.28) |
| West Virginia | 5,020 (7.3) | 37.6 (35.4–39.9) | 39.4 (36.7–42.2) | 1.06 (0.97–1.16) |
| Wisconsin | 4,806 (7.0) | 23.3 (21.2–25.5) | 28.5 (25.3–31.8) | 1.32 (1.15–1.52)e |
Includes regular soda, sugar-sweetened fruit drinks, sweet tea, sports drinks, and energy drinks. Does not include 100% fruit juice, diet soda, diet drinks, or artificially sweetened drinks.
Unweighted sample size and weighted percentage. Percentages might not sum to 100% because of rounding.
Metropolitan and nonmetropolitan status based on National Center for Health Statistics Urban–Rural Classification Scheme for Counties (6,7). Metropolitan includes large central metro, large fringe metro, medium metro, and small metro categories. Nonmetropolitan includes micropolitan and noncore categories.
Prevalence ratios were determined by using multinomial logistic regression, controlling for age, sex, and race/ethnicity. Multinomial logistic regression modeled the adjusted prevalence ratio of >0 to <1 SSB intake per day and ≥1 SSB intake per day versus a reference of 0 times per day. Only adjusted prevalence ratios for SSB intake ≥1 time per day are presented here.
Significant ratio in the prevalence of obesity between metropolitan and nonmetropolitan areas at the P < .05 level based on multinomial logistic regression within levels of sociodemographic characteristics and states controlling for age, sex, and race/ethnicity.
Based on body mass index (BMI), calculated as weight in kilograms divided by height in meters squared: underweight/normal weight (BMI <25.0 kg/m2), overweight (BMI 25.0 to <30.0 kg/m2), obesity (BMI ≥30.0 kg/m2).
Data not available because no counties in Delaware or the District of Columbia were classified as nonmetropolitan.