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Table 5 Sequential multiple regression analyses predicting square root transformed weekly sales of “Least Healthy” a foods and beverages from FoodMATS scores and facility size

From: Reliability and validity of a novel tool to comprehensively assess food and beverage marketing in recreational sport settings

Predictor

Betaa (95% confidence interval)

Betab (95% confidence interval)

R2 (adjusted)

R2 change (adjusted)

F

Concession sales (n = 30)

 Model 1:

Facility Size

  

0.328**

0.351**

15.149**

Number of Sports Areas

0.593** (2.42–7.79)

0.517** (1.97–6.94)

   

 Model 2:

Marketing Scores

  

0.451***

0.138*

12.929***

FoodMATS Score

 

0.379** (0.03–0.24)

   

Vending sales (n = 23)

 Model 1:

Facility Size

  

0.184*

0.221*

5.960*

Number of Sports Areas

0.470* (0.37–4.66)

0.448* (0.17–4.63)

   

 Model 2:

Marketing Scores

  

0.156

0.012

3.038

FoodMATS Score

 

0.111 (−0.07–0.12)

   

Total (concession and vending sales) (n = 21)

 Model 1:

Facility Size

  

0.210*

0.250*

6.329*

Number of Sports Areas

0.500* (1.12–12.16)

0.505** (1.98–11.42)

   

 Model 2:

Marketing Scores

  

0.428**

0.235*

8.485**

FoodMATS Score

 

0.485* (0.04–0.29)

   
  1. a Standardized regression coefficients without marketing scores entered into the regression
  2. b Standardized regression coefficients with marketing scores entered into the regression
  3. *p < 0.05. **p < 0.01. ***p < 0.001