Skip to main content
. 2014 Dec;104(12):2417–2424. doi: 10.2105/AJPH.2014.302150

TABLE 2—

Adjusted Beverage Purchase Outcomes Comparing the Types of Caloric Information Provided at Baseline: Reducing Sugar-Sweetened Beverages Consumption by Providing Caloric Information; Baltimore, MD; 2012–2013

Outcome
Variable Total Calories, kcal (95% CI) Purchased Any SSB, % (95% CI) SSB > 16 oz, % (95% CI)
Sample: all purchases (n = 4516)
Baseline 149 (134.1, 164.1) 71 (62.8, 79.7) 39 (28.2, 49.4)
Any information 121a (117.8, 124.9) 59a (57.0, 61.2) 25a (22.3, 26.7)
Type of information
 Absolute calories 121 (109.5, 133.0) 58a (52.1, 63.2) 24 (16.6, 31.2)
 Teaspoons of sugar 123 (112.7, 132.4) 60 (55.3, 65.1) 25 (19.5, 31.0)
 Minutes of running 123 (108.6, 138.1) 59 (50.6, 66.4) 25 (19.8, 30.8)
 Miles of walking 115a (107.5, 122.8) 57a (53.8, 60.2) 24a (21.6, 26.4)
Postintervention 127a (116.4, 136.7) 65 (59.2, 70.7) 23a (15.9, 31.0)
Sample: all beverage purchases (n = 3098)
Baseline 203 (195.8, 210.2) 98 (94.3, 1.01) 54 (42.7, 64.8)
Any information 184a (178.0, 187.5) 89 (88.1, 90.8) 37a (33.8, 39.5)
Type of information
 Absolute calories 189 (178.3, 199.4) 90a (88.2, 91.6) 37 (27.4, 47.1)
 Teaspoons of sugar 182 (171.1, 192.5) 89 (84.8, 93.7) 37a (29.3, 44.0)
 Minutes of running 186 (175.8, 196.2) 88a (83.9, 92.7) 38a (31.8, 43.3)
 Miles of walking 179a (171.9, 187.3) 89a (87.0, 92.0) 37a (33.1, 40.6)
Postintervention 178a (170.5, 185.6) 91a (88.4, 94.1) 33a (23.0, 42.1)
Sample: all SSB purchases (n = 2794)
Baseline 206 (199.2, 212.7) . . . 55 (42.6, 66.9)
Any information 196a (194.1, 198.3) . . . 34a (30.9, 37.9)
Type of information
 Absolute calories 202 (190.3, 213.5) . . . 35 (23.4, 46.3)
 Teaspoons of sugar 194 (184.9, 203.2) . . . 35a (27.9, 41.6)
 Minutes of running 201b (195.0, 206.9) . . . 36a (27.8, 44.5)
 Miles of walking 190a (185.5, 194.6) . . . 35a (31.0, 38.7)
Postintervention 189a (183.8, 194.4) 28a (14.1, 41.6)

Note. CI = confidence interval; SSB = sugar-sweetened beverage. The “Number of Total Calories” estimates were based on a 2-part model to account for the high number of zero values, where (1) a logistic regression was used to estimate the probability of purchasing any calories, and (2) a generalized linear model with a log-link function and a γ distribution of the error term was used to estimate the number of calories among those who purchased a drink with nonzero calories. The predicted probabilities for the “Purchased Any SSB” and “SSB Greater Than 16 oz” models are based on logistic regression models. These estimates are adjusted for gender, store, time of day (before or after 4 pm), and average monthly temperature.

Source. Purchases from 6 corner stores in a low-income, predominantly Black neighborhood of Baltimore, MD.

a

Significantly different from baseline, P < .05.

b

Significantly different from miles of walking, P < .05.