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Table 1 Frequencies and percentages of food and beverage advertisements found across one week of Chilean television

From: Restricting child-directed ads is effective, but adding a time-based ban is better: evaluating a multi-phase regulation to protect children from unhealthy food marketing on television

Type of Food/Beverage Advertisement

2016

(pre-regulation)

N

2017

(Phase 1 Year 1)

N

2017 vs. 2016

percentage

change

2018

(Phase 1 Year 2)

N

2018 vs. 2016

percentage

change

2018 vs. 2017

percentage

change

2019

(Phase 2 Day Ban)

N

2019 vs. 2016

percentage

change

2019 vs. 2018

percentage

change

All ads

2845

2805

-1.41

P = 0.595

3145

10.54

P < 0.001

12.12

P < 0.001

2423

-14.83

P < 0.001

-22.96

P < 0.001

Ads matched with nutritional data

2779

2545

-8.42

P < 0.01

2814

1.26

P = 0.640

10.57

P < 0.001

2391

-13.96

P < 0.001

-15.03

P < 0.001

(% of all ads)

(97.68%)

(90.75%)

-7.09

P < 0.001

(89.49%)

-8.38

P < 0.001

-1.39

P = 0.106

(98.66%)

1.00

P = 0.011

10.25

P < 0.001

High-in ads in total

1948

1136

-41.68

P < 0.001

1237

-36.50

P < 0.001

8.89

P = 0.038

697

-64.22

P < 0.001

-43.65

P < 0.001

(% of ads matched)

(70.11%)

(44.62%)

-36.36

P < 0.001

(43.96%)

-37.30

P < 0.001

-1.48

P = 0.627

(29.14%)

-58.44

P < 0.001

-33.71

P < 0.001

High-in in programs attracting child audiences

535

382

-28.60

P < 0.001

291

-45.61

P < 0.001

-23.82

P < 0.001

123

-77.01

P < 0.001

-57.73

P < 0.001

(% of ads matched)

(19.25%)

(15.01%)

-22.03

P < 0.001

(10.34%)

-46.29

P < 0.001

-31.11

P < 0.001

(5.15%)

-73.25

P < 0.001

-50.19

P < 0.001

High-in with child-directed ad content

1493

879

-41.13

P < 0.001

1015

-32.02

P < 0.001

15.47

P < 0.01

498

-66.64

P < 0.001

-50.94

P < 0.001

(% of ads matched)

(53.72%)

(34.52%)

-35.74

P < 0.001

(36.07%)

-32.86

P < 0.001

4.49

P = 0.237

(20.83%)

-61.22

P < 0.001

-42.25

P < 0.001

High-in between 6am-10pm (banned June 2018)

1593

935

-41.31

P < 0.001

1019

-36.03

P < 0.001

8.98

P = 0.057

540

-66.10

P < 0.001

-47.01

P < 0.001

(% of ads matched)

(57.32%)

(36.74%)

-35.90

P < 0.001

(36.21%)

-36.83

P < 0.001

-1.44

P = 0.689

(22.57%)

-60.62

P < 0.001

-37.67

P < 0.001

High-in between 10pm-12am

356

201

-43.54

P < 0.001

218

-38.76

P < 0.001

8.46

P = 0.406

157

-55.90

P < 0.001

-27.98

P = 0.020

(% of ads matched)

(12.79%)

(7.88%)

-38.39

P < 0.001

(7.75%)

-39.41

P < 0.001

-1.65

P = 0.841

(6.57%)

-48.63

P < 0.001

-15.23

P = 0.101

  1. High-in refers to ads with at least one product exceeding one or more of the following thresholds: 275 kilocalories energy, 400 mg sodium, 10 g sugars, 4 g saturated fats per 100 g solid foods; 70 kilocalories energy, 100 mg sodium, 5 g sugars, 3 g saturated fats per 100 ml liquids. Comparisons made within row only, using Pearson chi-square tests. Percentage change is based on change from preceeding year calculated as (Year 2 – Year 1)/Year1. Bold comparisons are significant at P < 0.01
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International Journal of Behavioral Nutrition and Physical Activity

ISSN: 1479-5868

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