| Literature DB >> 32735786 |
Paula M Horta1, Bárbara B Machado2, Liziane V de Souza2.
Abstract
OBJECTIVE: Movies and TV programs directed to children contain food information that can potentially negative influence their food consumption. The NOVA classification is a useful system for monitoring food informational environment. Therefore, this study aimed to evaluate food content on children movies using the NOVA classification.Entities:
Keywords: Children; Food environment; Movies; Ultra-processed foods
Mesh:
Year: 2020 PMID: 32735786 PMCID: PMC9432270 DOI: 10.1016/j.jped.2020.06.006
Source DB: PubMed Journal: J Pediatr (Rio J) ISSN: 0021-7557 Impact factor: 2.990
Children movies characterization in accordance to release year, box office and number of food reference scenes, 2013–2018.
| Movie | Release year | Box office (U$) | Food reference scenes (n |
|---|---|---|---|
| Monsters University | 2013 | 268,492,764 | 9 |
| Despicable Me 2 | 2013 | 368,061,265 | 24 |
| Frozen | 2013 | 400,738,009 | 14 |
| Maleficent | 2014 | 241,410,378 | 3 |
| Inside Out | 2015 | 356,461,711 | 21 |
| Minions | 2015 | 336,045,770 | 16 |
| The Secret Life of Pets | 2016 | 368,384,330 | 18 |
| The Jungle Book | 2016 | 364,001,123 | 5 |
| Zootopia | 2016 | 341,268,248 | 26 |
| Finding Dory | 2016 | 486,295,561 | 3 |
| Despicable Me 3 | 2017 | 264,624,300 | 24 |
| Beauty and the Beast | 2017 | 504,014,165 | 21 |
| Incredibles 2 | 2018 | 608,581,744 | 14 |
Number of scenes in which at least one type of food was placed.
Examples of scenes with food reference according to the type of message.
| Message | Scene description |
|---|---|
| Positive | • On |
| Negative | • On |
| Neutral | • On |
| Both | • On |
Food content in children movies in accordance to NOVA classification and message content, 2013–2018.
| Foods | Frequency (%) | Message (%) | ||||
|---|---|---|---|---|---|---|
| Positive | Negative | Neutral | ||||
| 119 | 60.1 | 52.7 | 62.5 | 70.2 | 0.070 | |
| Fruit/vegetables | 75 | 37.9 | 26.4B | 62.5A | 49.3A | 0.001 |
| Milk | 12 | 6.1 | 8.2 | 0.0 | 2.9 | 0.207 |
| Tea and coffee | 19 | 9.6 | 10.9 | 0.0 | 10.5 | 0.384 |
| Meat and eggs | 19 | 9.6 | 10.9 | 12.5 | 5.9 | 0.494 |
| Other unprocessed and minimally processed foods | 18 | 9.1 | 10.0 | 6.3 | 8.9 | 0.883 |
| 21 | 10.6 | 12.7 | 6.3 | 5.9 | 0.302 | |
| 118 | 59.6 | 70.9A | 75.0A | 37.3B | <0.0001 | |
| Sweets | 75 | 37.9 | 49.1A | 31.3 | 22.4B | 0.002 |
| Fast food meals | 30 | 15.2 | 17.3 | 37.5A | 5.9B | 0.004 |
| Beverages | 27 | 13.6 | 15.5 | 18.8 | 10.5 | 0.550 |
| Other UPF | 22 | 11.1 | 17.3A | 0.0 | 2.9B | 0.004 |
UPF, ultra-processed foods.
Number of food references in the scenes. Some scenes contained more than one food reference.
Note: Different letters in the same columns indicate statistically significant differences in the chi-squared test with Bonferroni-corrected alpha level adjustment.