Consumption of ultra-processed foods in Brazil: distribution and temporal evolution 2008–2018
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Revista de Saúde Pública |
Texto Completo: | https://www.revistas.usp.br/rsp/article/view/209656 |
Resumo: | OBJECTIVE To evaluate sociodemographic factors associated with the consumption of ultra-processed foods and the temporal evolution of their consumption in Brazil between 2008 and 2018. METHODS The study used food consumption data of individuals aged ≥ 10 years from 2008–2009 and 2017–2018 Pesquisas de Orçamentos Familiares (POF – Household Budget Surveys), grouping the foods according to the Nova classification. We used crude and adjusted linear regression models to assess the association between sociodemographic characteristics and consumption of ultra-processed foods in 2017–2018 and the temporal variation in their consumption between 2008 and 2018. RESULTS Ultra-processed foods accounted for 19.7% of calories in 2017–2018. The adjusted analysis showed that their consumption was higher in women (versus men) and the South and Southeast regions (versus North) and lower in blacks (versus whites) and rural areas (versus urban), in addition to decreasing with the increased age and increasing with higher education and income. Consumption of ultra-processed foods increased by 1.02 percentage points (pp) from 2008–2009 to 2017–2018. This increase was significantly higher among men (+1.59 pp), black people (+2.04 pp), indigenous (+5.96 pp), in the rural area (+2.43 pp), those with up to 4 years of schooling (+1.18 pp), in the lowest income quintile (+3.54 pp), and the North (+2.95 pp) and Northeast (+3.11 pp) regions. On the other hand, individuals in the highest level of schooling (-3.30 pp) and the highest income quintile (-1.65 pp) reduced their consumption. CONCLUSIONS The socioeconomic and demographic segments with the lowest relative consumption of ultra-processed foods in 2017–2018 are precisely those that showed the most significant increase in the temporal analysis, pointing to a trend towards national standardization at a higher level of consumption. |
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Consumption of ultra-processed foods in Brazil: distribution and temporal evolution 2008–2018Consumo de alimentos ultraprocessados no Brasil: distribuição e evolução temporal 2008–2018EatingUltra-Processed FoodsSocioeconomic Factors Diet, Food, and NutritionIngestão de AlimentosAlimentos UltraprocessadosFatores SocioeconômicosAlimentos, Dieta e NutriçãoOBJECTIVE To evaluate sociodemographic factors associated with the consumption of ultra-processed foods and the temporal evolution of their consumption in Brazil between 2008 and 2018. METHODS The study used food consumption data of individuals aged ≥ 10 years from 2008–2009 and 2017–2018 Pesquisas de Orçamentos Familiares (POF – Household Budget Surveys), grouping the foods according to the Nova classification. We used crude and adjusted linear regression models to assess the association between sociodemographic characteristics and consumption of ultra-processed foods in 2017–2018 and the temporal variation in their consumption between 2008 and 2018. RESULTS Ultra-processed foods accounted for 19.7% of calories in 2017–2018. The adjusted analysis showed that their consumption was higher in women (versus men) and the South and Southeast regions (versus North) and lower in blacks (versus whites) and rural areas (versus urban), in addition to decreasing with the increased age and increasing with higher education and income. Consumption of ultra-processed foods increased by 1.02 percentage points (pp) from 2008–2009 to 2017–2018. This increase was significantly higher among men (+1.59 pp), black people (+2.04 pp), indigenous (+5.96 pp), in the rural area (+2.43 pp), those with up to 4 years of schooling (+1.18 pp), in the lowest income quintile (+3.54 pp), and the North (+2.95 pp) and Northeast (+3.11 pp) regions. On the other hand, individuals in the highest level of schooling (-3.30 pp) and the highest income quintile (-1.65 pp) reduced their consumption. CONCLUSIONS The socioeconomic and demographic segments with the lowest relative consumption of ultra-processed foods in 2017–2018 are precisely those that showed the most significant increase in the temporal analysis, pointing to a trend towards national standardization at a higher level of consumption.OBJETIVO: Avaliar fatores sociodemográficos associados ao consumo de alimentos ultraprocessados e a evolução temporal do consumo no Brasil entre 2008 e 2018. MÉTODOS: Foram utilizados dados do consumo alimentar de indivíduos com idade ≥ 10 anos das Pesquisas de Orçamentos Familiares (POF) 2008–2009 e 2017–2018. Os alimentos foram agrupados segundo a classificação Nova. Modelos de regressão linear brutos e ajustados foram utilizados para avaliar a associação entre características sociodemográficas e o consumo de ultraprocessados em 2017–2018 e a variação temporal de seu consumo entre 2008 e 2018. RESULTADOS: Alimentos ultraprocessados representaram 19,7% das calorias em 2017–2018. A análise ajustada mostrou que seu consumo foi maior no sexo feminino (versus masculino) e nas regiões Sul e Sudeste (versus Norte), e menor em negros (versus brancos) e na área rural (versus urbana), além de diminuir com o aumento da idade e aumentar com escolaridade e renda. O consumo de ultraprocessados aumentou 1,02 pontos percentuais (pp) de 2008–2009 a 2017–2018, sendo este aumento mais expressivo em homens (+1,59 pp), negros (+2,04 pp), indígenas (+5,96 pp), na área rural (+2,43 pp), naqueles com até 4 anos de estudo (+1,18 pp), no quinto mais baixo de renda (+3,54 pp) e nas regiões Norte (+2,95 pp) e Nordeste (+3,11 pp). Por outro lado, seu consumo se reduziu na maior faixa de escolaridade (-3,30 pp) e no quinto mais alto de renda (-1,65 pp). CONCLUSÕES: Os segmentos socioeconômicos e demográficos que tiveram menor consumo relativo de ultraprocessados em 2017–2018 são justamente os que apresentaram um aumento mais expressivo na análise temporal, apontando para uma tendência de padronização nacional em um patamar de consumo mais alto.Universidade de São Paulo. Faculdade de Saúde Pública2023-03-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdftext/xmlhttps://www.revistas.usp.br/rsp/article/view/20965610.11606/s1518-8787.2023057004744Revista de Saúde Pública; Vol. 57 No. 1 (2023); 12Revista de Saúde Pública; Vol. 57 Núm. 1 (2023); 12Revista de Saúde Pública; v. 57 n. 1 (2023); 121518-87870034-8910reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USPporenghttps://www.revistas.usp.br/rsp/article/view/209656/192621https://www.revistas.usp.br/rsp/article/view/209656/192620https://www.revistas.usp.br/rsp/article/view/209656/192619Copyright (c) 2023 Maria Laura da Costa Louzada, Gabriela Lopes da Cruz, Karina Augusta Aparecida Nogueira Silva, Ana Giulia Forjaz Grassi, Giovanna Calixto Andrade, Fernanda Rauber, Renata Bertazzi Levy, Carlos Augusto Monteirohttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessLouzada, Maria Laura da Costa Cruz, Gabriela Lopes daSilva, Karina Augusta Aparecida NogueiraGrassi, Ana Giulia ForjazAndrade, Giovanna Calixto Rauber, Fernanda Levy, Renata BertazziMonteiro, Carlos Augusto2023-03-21T18:58:17Zoai:revistas.usp.br:article/209656Revistahttps://www.revistas.usp.br/rsp/indexONGhttps://www.revistas.usp.br/rsp/oairevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2023-03-21T18:58:17Revista de Saúde Pública - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Consumption of ultra-processed foods in Brazil: distribution and temporal evolution 2008–2018 Consumo de alimentos ultraprocessados no Brasil: distribuição e evolução temporal 2008–2018 |
title |
Consumption of ultra-processed foods in Brazil: distribution and temporal evolution 2008–2018 |
spellingShingle |
Consumption of ultra-processed foods in Brazil: distribution and temporal evolution 2008–2018 Louzada, Maria Laura da Costa Eating Ultra-Processed Foods Socioeconomic Factors Diet, Food, and Nutrition Ingestão de Alimentos Alimentos Ultraprocessados Fatores Socioeconômicos Alimentos, Dieta e Nutrição |
title_short |
Consumption of ultra-processed foods in Brazil: distribution and temporal evolution 2008–2018 |
title_full |
Consumption of ultra-processed foods in Brazil: distribution and temporal evolution 2008–2018 |
title_fullStr |
Consumption of ultra-processed foods in Brazil: distribution and temporal evolution 2008–2018 |
title_full_unstemmed |
Consumption of ultra-processed foods in Brazil: distribution and temporal evolution 2008–2018 |
title_sort |
Consumption of ultra-processed foods in Brazil: distribution and temporal evolution 2008–2018 |
author |
Louzada, Maria Laura da Costa |
author_facet |
Louzada, Maria Laura da Costa Cruz, Gabriela Lopes da Silva, Karina Augusta Aparecida Nogueira Grassi, Ana Giulia Forjaz Andrade, Giovanna Calixto Rauber, Fernanda Levy, Renata Bertazzi Monteiro, Carlos Augusto |
author_role |
author |
author2 |
Cruz, Gabriela Lopes da Silva, Karina Augusta Aparecida Nogueira Grassi, Ana Giulia Forjaz Andrade, Giovanna Calixto Rauber, Fernanda Levy, Renata Bertazzi Monteiro, Carlos Augusto |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Louzada, Maria Laura da Costa Cruz, Gabriela Lopes da Silva, Karina Augusta Aparecida Nogueira Grassi, Ana Giulia Forjaz Andrade, Giovanna Calixto Rauber, Fernanda Levy, Renata Bertazzi Monteiro, Carlos Augusto |
dc.subject.por.fl_str_mv |
Eating Ultra-Processed Foods Socioeconomic Factors Diet, Food, and Nutrition Ingestão de Alimentos Alimentos Ultraprocessados Fatores Socioeconômicos Alimentos, Dieta e Nutrição |
topic |
Eating Ultra-Processed Foods Socioeconomic Factors Diet, Food, and Nutrition Ingestão de Alimentos Alimentos Ultraprocessados Fatores Socioeconômicos Alimentos, Dieta e Nutrição |
description |
OBJECTIVE To evaluate sociodemographic factors associated with the consumption of ultra-processed foods and the temporal evolution of their consumption in Brazil between 2008 and 2018. METHODS The study used food consumption data of individuals aged ≥ 10 years from 2008–2009 and 2017–2018 Pesquisas de Orçamentos Familiares (POF – Household Budget Surveys), grouping the foods according to the Nova classification. We used crude and adjusted linear regression models to assess the association between sociodemographic characteristics and consumption of ultra-processed foods in 2017–2018 and the temporal variation in their consumption between 2008 and 2018. RESULTS Ultra-processed foods accounted for 19.7% of calories in 2017–2018. The adjusted analysis showed that their consumption was higher in women (versus men) and the South and Southeast regions (versus North) and lower in blacks (versus whites) and rural areas (versus urban), in addition to decreasing with the increased age and increasing with higher education and income. Consumption of ultra-processed foods increased by 1.02 percentage points (pp) from 2008–2009 to 2017–2018. This increase was significantly higher among men (+1.59 pp), black people (+2.04 pp), indigenous (+5.96 pp), in the rural area (+2.43 pp), those with up to 4 years of schooling (+1.18 pp), in the lowest income quintile (+3.54 pp), and the North (+2.95 pp) and Northeast (+3.11 pp) regions. On the other hand, individuals in the highest level of schooling (-3.30 pp) and the highest income quintile (-1.65 pp) reduced their consumption. CONCLUSIONS The socioeconomic and demographic segments with the lowest relative consumption of ultra-processed foods in 2017–2018 are precisely those that showed the most significant increase in the temporal analysis, pointing to a trend towards national standardization at a higher level of consumption. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-03-15 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/rsp/article/view/209656 10.11606/s1518-8787.2023057004744 |
url |
https://www.revistas.usp.br/rsp/article/view/209656 |
identifier_str_mv |
10.11606/s1518-8787.2023057004744 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/rsp/article/view/209656/192621 https://www.revistas.usp.br/rsp/article/view/209656/192620 https://www.revistas.usp.br/rsp/article/view/209656/192619 |
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http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
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application/pdf application/pdf text/xml |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Saúde Pública |
publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Saúde Pública |
dc.source.none.fl_str_mv |
Revista de Saúde Pública; Vol. 57 No. 1 (2023); 12 Revista de Saúde Pública; Vol. 57 Núm. 1 (2023); 12 Revista de Saúde Pública; v. 57 n. 1 (2023); 12 1518-8787 0034-8910 reponame:Revista de Saúde Pública instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Revista de Saúde Pública |
collection |
Revista de Saúde Pública |
repository.name.fl_str_mv |
Revista de Saúde Pública - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
revsp@org.usp.br||revsp1@usp.br |
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1800221803831885824 |