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Table 2 Summary of annual per capita purchase of sugar-sweetened beverages

From: Are price discounts on sugar-sweetened beverages (SSB) linked to household SSB purchases? – a cross-sectional study in a large US household and retail scanner database

  Annual per capita purchase
Mean ounces (STD) Median ounces (IQR)
Beverage category a
 Overall 1251.7 (2242.6) 495.6 (153.0, 1394.9)
 Carbonated soft drinks 932.6 (2047.9) 244.0 (48.0, 904.9)
 Fruit drinks 319.2 (630.4) 103.1 (23.0, 348.4)
Exposure to price promotion described as annual promotion frequency b
 Quartile 1, < 27% time experienced promotion 991.8 (1922.3) 330.7 (94.0, 1069.9)
 Quartile 2, 27 to < 46% 1178.2 (2166.4) 460.9 (135.2, 1301.0)
 Quartile 3, 46 to < 62% 1265.8 (2128.4) 545.0 (190.0, 1454.2)
 Quartile 4, ≥ 62% 1566.3 (2645.2) 670.1 (250.9, 1739.5)
Exposure to price promotion described as annual promotion magnitude c
 Quartile 1, experienced < 3.8% off the modal price 968.9 (1899.6) 306.7 (88.3, 1009.9)
 Quartile 2, 3.0 to < 4.9% off 1169.7 (2225.8) 444.5 (140.1, 1273.4)
 Quartile 3, 4.9 to < 5.8% off 1301.0 (2111.1) 580.8 (195.2, 1522.3)
 Quartile 4, ≥ 5.8% off 1567.3 (2629.3) 673.2 (246.4, 1752.0)
  1. aBeverage categories were defined using the Produce Module Description (“Carbonated soft drinks” and “Fruit drinks”) in the Retailer Database. Diet beverages and 100% juice were excluded using information from UPC Description, Product Description, Formula Description, and Type Description in the Retailer Database. “Carbonated soft drinks” were primarily regular soda. “Fruit drinks” (AKA non-carbonated juice drinks, juice beverages, fruit cocktails, or fruit flavored drinks) were fruit-flavored, non-carbonated drinks with 0–50% fruit juice. Note that the dataset did not contain an indicator for energy drinks, thus, they were included in carbonated (e.g., Red Bull, Monster) and fruit drink (e.g., Gatorade) categories.
  2. bAnnual promotion frequency was calculated as: \( \frac{Weeks\ experiencing\ge 5\% magnitude\ of\ price\ promotion\ for\ the\ household}{Number\ of\ weeks\ in\ 2016.} \)
  3. cAnnual promotion magnitude was calculated as: \( \frac{\sum_{i=1}^{number\ of\ weeks\ in\ 2016} Promotion\ magnitude\ for\ the\ household\ in\ week\ i}{Number\ of\ weeks\ in\ 2016} \)