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. 2017 Jun;107(6):989–995. doi: 10.2105/AJPH.2017.303750

TABLE 3—

Sales of Sweetened Beverages and Parameters of Linear Mixed-Effect Regression Models: Tri-Cities of Northeast Tennessee, Southwest Virginia, and Southeast Kentucky, 2014–2016

Salesa All Sugar-Sweetened Beveragesb Sodasc Fruit Drinksd Sports and Energy Drinkse Artificially Sweetened Beverages
Intervention
 Before 1638 1159 332 146 547
 During and after 1605 1131 321 154 516
 Change, % −2.0 −2.4 −3.3 5.5 −5.7
Comparison
 Before 1517 950 415 152 483
 During and after 1530 960 411 159 464
 Change, % 0.9 1.1 −1.1 4.4 −3.8
Model parameters
 Areaf −41.7 −8.8 −25.4* −7.5 −11.6
 Area × periodg −8.6** −7.3** −1.0 −0.3 −0.8

Note. Models include random intercepts for each county and an indicator variable for each of the 14 data collection periods.

a

Sales in oz/capita over 26-wk period.

b

Includes soda, fruit juice, and sweetened fruit-flavored drinks, sports drinks, energy drinks, and bottled tea or coffee. Does not include artificially sweetened drinks.

c

Carbonated sugar-sweetened beverages (such as Coca-Cola).

d

Fruit juice and noncarbonated fruit-flavored sugar-sweetened beverages (such as lemonade and fruit punch).

e

Sugar-sweetened beverages marketed for sports (such as Gatorade) and as “energy” producing (such as Red Bull).

f

Intervention vs comparison areas.

g

Interaction term for intervention or comparison area and pre–post intervention, expressed as oz/capita/4-wk interval.

*

P < .05; **P < .01.