Three decades of household food availability according to NOVA - Brazil, 1987-2018
To evaluate the trend of household food acquisition according to the NOVA classification in Brazil between 1987-1988 and 2017-2018. We used household food acquisition data from five editions of the Pesquisas de Orçamentos Familiares (Household Budget Surveys), conducted by the Instituto Brasileiro d...
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Brazil
Faculdade de Saúde Pública da Universidade de São Paulo
01.01.2022
Universidade de São Paulo |
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| Abstract | To evaluate the trend of household food acquisition according to the NOVA classification in Brazil between 1987-1988 and 2017-2018.
We used household food acquisition data from five editions of the Pesquisas de Orçamentos Familiares (Household Budget Surveys), conducted by the Instituto Brasileiro de Geografia e Estatística (Brazilian Institute of Geography and Statistics), in the years 1987-1988, 1995-1996, 2002-2003, 2008-2009, and 2017-2018. All reported foods were categorized according to the NOVA classification. The household availability of food groups and subgroups was expressed through their share (%) in total calories, for all Brazilian families, by household situation (urban or rural), for each of the five geographic regions of the country, by fifths of the household income per capita distribution (2002-2003, 2008-2009 and 2017-2018 surveys), and for the 11 main urban regions of the country (1987-1988, 1995-1996, 2002-2003, 2008-2009 and 2017-2018 surveys). Linear regression models were used to assess the trend of increasing or decreasing food purchases.
The diet of the Brazilian population is still composed predominantly of foods in natura or minimally processed and processed culinary ingredients. However, our findings point to trends of increasing share of ultra-processed foods in the diet. This increase of 0.4 percentage points per year between 2002 and 2009 slowed down to 0.2 percentage points between 2008 and 2018. The consumption of ultra-processed food was higher among households with higher income, in the South and Southeast regions, in urban areas, and in metropolitan regions.
Our results indicate an increase in the share of ultra-processed foods in the diet of Brazilians. This is a worrisome scenario, since the consumption of such foods is associated with the development of diseases and the loss of nutritional quality of the diet. |
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| AbstractList | ABSTRACT OBJECTIVE To evaluate the trend of household food acquisition according to the NOVA classification in Brazil between 1987–1988 and 2017–2018. METHODS We used household food acquisition data from five editions of the Pesquisas de Orçamentos Familiares (Household Budget Surveys), conducted by the Instituto Brasileiro de Geografia e Estatística (Brazilian Institute of Geography and Statistics), in the years 1987–1988, 1995–1996, 2002–2003, 2008–2009, and 2017–2018. All reported foods were categorized according to the NOVA classification. The household availability of food groups and subgroups was expressed through their share (%) in total calories, for all Brazilian families, by household situation (urban or rural), for each of the five geographic regions of the country, by fifths of the household income per capita distribution (2002–2003, 2008–2009 and 2017–2018 surveys), and for the 11 main urban regions of the country (1987–1988, 1995–1996, 2002–2003, 2008–2009 and 2017–2018 surveys). Linear regression models were used to assess the trend of increasing or decreasing food purchases. RESULTS The diet of the Brazilian population is still composed predominantly of foods in natura or minimally processed and processed culinary ingredients. However, our findings point to trends of increasing share of ultra-processed foods in the diet. This increase of 0.4 percentage points per year between 2002 and 2009 slowed down to 0.2 percentage points between 2008 and 2018. The consumption of ultra-processed food was higher among households with higher income, in the South and Southeast regions, in urban areas, and in metropolitan regions. CONCLUSION Our results indicate an increase in the share of ultra-processed foods in the diet of Brazilians. This is a worrisome scenario, since the consumption of such foods is associated with the development of diseases and the loss of nutritional quality of the diet. To evaluate the trend of household food acquisition according to the NOVA classification in Brazil between 1987-1988 and 2017-2018. We used household food acquisition data from five editions of the Pesquisas de Orçamentos Familiares (Household Budget Surveys), conducted by the Instituto Brasileiro de Geografia e Estatística (Brazilian Institute of Geography and Statistics), in the years 1987-1988, 1995-1996, 2002-2003, 2008-2009, and 2017-2018. All reported foods were categorized according to the NOVA classification. The household availability of food groups and subgroups was expressed through their share (%) in total calories, for all Brazilian families, by household situation (urban or rural), for each of the five geographic regions of the country, by fifths of the household income per capita distribution (2002-2003, 2008-2009 and 2017-2018 surveys), and for the 11 main urban regions of the country (1987-1988, 1995-1996, 2002-2003, 2008-2009 and 2017-2018 surveys). Linear regression models were used to assess the trend of increasing or decreasing food purchases. The diet of the Brazilian population is still composed predominantly of foods in natura or minimally processed and processed culinary ingredients. However, our findings point to trends of increasing share of ultra-processed foods in the diet. This increase of 0.4 percentage points per year between 2002 and 2009 slowed down to 0.2 percentage points between 2008 and 2018. The consumption of ultra-processed food was higher among households with higher income, in the South and Southeast regions, in urban areas, and in metropolitan regions. Our results indicate an increase in the share of ultra-processed foods in the diet of Brazilians. This is a worrisome scenario, since the consumption of such foods is associated with the development of diseases and the loss of nutritional quality of the diet. To evaluate the trend of household food acquisition according to the NOVA classification in Brazil between 1987-1988 and 2017-2018.OBJECTIVETo evaluate the trend of household food acquisition according to the NOVA classification in Brazil between 1987-1988 and 2017-2018.We used household food acquisition data from five editions of the Pesquisas de Orçamentos Familiares (Household Budget Surveys), conducted by the Instituto Brasileiro de Geografia e Estatística (Brazilian Institute of Geography and Statistics), in the years 1987-1988, 1995-1996, 2002-2003, 2008-2009, and 2017-2018. All reported foods were categorized according to the NOVA classification. The household availability of food groups and subgroups was expressed through their share (%) in total calories, for all Brazilian families, by household situation (urban or rural), for each of the five geographic regions of the country, by fifths of the household income per capita distribution (2002-2003, 2008-2009 and 2017-2018 surveys), and for the 11 main urban regions of the country (1987-1988, 1995-1996, 2002-2003, 2008-2009 and 2017-2018 surveys). Linear regression models were used to assess the trend of increasing or decreasing food purchases.METHODSWe used household food acquisition data from five editions of the Pesquisas de Orçamentos Familiares (Household Budget Surveys), conducted by the Instituto Brasileiro de Geografia e Estatística (Brazilian Institute of Geography and Statistics), in the years 1987-1988, 1995-1996, 2002-2003, 2008-2009, and 2017-2018. All reported foods were categorized according to the NOVA classification. The household availability of food groups and subgroups was expressed through their share (%) in total calories, for all Brazilian families, by household situation (urban or rural), for each of the five geographic regions of the country, by fifths of the household income per capita distribution (2002-2003, 2008-2009 and 2017-2018 surveys), and for the 11 main urban regions of the country (1987-1988, 1995-1996, 2002-2003, 2008-2009 and 2017-2018 surveys). Linear regression models were used to assess the trend of increasing or decreasing food purchases.The diet of the Brazilian population is still composed predominantly of foods in natura or minimally processed and processed culinary ingredients. However, our findings point to trends of increasing share of ultra-processed foods in the diet. This increase of 0.4 percentage points per year between 2002 and 2009 slowed down to 0.2 percentage points between 2008 and 2018. The consumption of ultra-processed food was higher among households with higher income, in the South and Southeast regions, in urban areas, and in metropolitan regions.RESULTSThe diet of the Brazilian population is still composed predominantly of foods in natura or minimally processed and processed culinary ingredients. However, our findings point to trends of increasing share of ultra-processed foods in the diet. This increase of 0.4 percentage points per year between 2002 and 2009 slowed down to 0.2 percentage points between 2008 and 2018. The consumption of ultra-processed food was higher among households with higher income, in the South and Southeast regions, in urban areas, and in metropolitan regions.Our results indicate an increase in the share of ultra-processed foods in the diet of Brazilians. This is a worrisome scenario, since the consumption of such foods is associated with the development of diseases and the loss of nutritional quality of the diet.CONCLUSIONOur results indicate an increase in the share of ultra-processed foods in the diet of Brazilians. This is a worrisome scenario, since the consumption of such foods is associated with the development of diseases and the loss of nutritional quality of the diet. |
| Author | Cruz, Gabriela Lopes da Claro, Rafael Moreira Louzada, Maria Laura da Costa Andrade, Giovanna Calixto Levy, Renata Bertazzi Rauber, Fernanda Monteiro, Carlos Augusto |
| AuthorAffiliation | III Universidade de São Paulo Faculdade de Saúde Pública Programa de Pós-Graduação em Nutrição em Saúde Pública São Paulo SP Brasil Universidade de São Paulo . Faculdade de Saúde Pública . Programa de Pós-Graduação em Nutrição em Saúde Pública . São Paulo , SP , Brasil V Universidade Federal de Minas Gerais Escola de Enfermagem Departamento de Nutrição Belo Horizonte MG Brasil Universidade Federal de Minas Gerais . Escola de Enfermagem . Departamento de Nutrição . Belo Horizonte , MG , Brasil IV Universidade de São Paulo Faculdade de Saúde Pública Departamento de Nutrição São Paulo SP Brasil Universidade de São Paulo . Faculdade de Saúde Pública . Departamento de Nutrição . São Paulo , SP , Brasil II Universidade de São Paulo Núcleo de Pesquisas Epidemiológicas em Nutrição e Saúde São Paulo SP Brasil Universidade de São Paulo . Núcleo de Pesquisas Epidemiológicas em Nutrição e Saúde . São Paulo , SP , Brasil I Universidade de São Paulo Faculdade de Medicina Departamento de Medicina Prevent |
| AuthorAffiliation_xml | – name: V Universidade Federal de Minas Gerais Escola de Enfermagem Departamento de Nutrição Belo Horizonte MG Brasil Universidade Federal de Minas Gerais . Escola de Enfermagem . Departamento de Nutrição . Belo Horizonte , MG , Brasil – name: IV Universidade de São Paulo Faculdade de Saúde Pública Departamento de Nutrição São Paulo SP Brasil Universidade de São Paulo . Faculdade de Saúde Pública . Departamento de Nutrição . São Paulo , SP , Brasil – name: I Universidade de São Paulo Faculdade de Medicina Departamento de Medicina Preventiva São Paulo SP Brasil Universidade de São Paulo . Faculdade de Medicina . Departamento de Medicina Preventiva . São Paulo , SP , Brasil – name: II Universidade de São Paulo Núcleo de Pesquisas Epidemiológicas em Nutrição e Saúde São Paulo SP Brasil Universidade de São Paulo . Núcleo de Pesquisas Epidemiológicas em Nutrição e Saúde . São Paulo , SP , Brasil – name: III Universidade de São Paulo Faculdade de Saúde Pública Programa de Pós-Graduação em Nutrição em Saúde Pública São Paulo SP Brasil Universidade de São Paulo . Faculdade de Saúde Pública . Programa de Pós-Graduação em Nutrição em Saúde Pública . São Paulo , SP , Brasil – name: Universidade de São Paulo – name: Universidade Federal de Minas Gerais |
| Author_xml | – sequence: 1 givenname: Renata Bertazzi orcidid: 0000-0001-5388-7002 surname: Levy fullname: Levy, Renata Bertazzi organization: Universidade de São Paulo . Núcleo de Pesquisas Epidemiológicas em Nutrição e Saúde . São Paulo , SP , Brasil – sequence: 2 givenname: Giovanna Calixto orcidid: 0000-0002-1901-3093 surname: Andrade fullname: Andrade, Giovanna Calixto organization: Universidade de São Paulo . Núcleo de Pesquisas Epidemiológicas em Nutrição e Saúde . São Paulo , SP , Brasil – sequence: 3 givenname: Gabriela Lopes da orcidid: 0000-0002-8220-3498 surname: Cruz fullname: Cruz, Gabriela Lopes da organization: Universidade de São Paulo . Faculdade de Saúde Pública . Programa de Pós-Graduação em Nutrição em Saúde Pública . São Paulo , SP , Brasil – sequence: 4 givenname: Fernanda orcidid: 0000-0001-9693-7954 surname: Rauber fullname: Rauber, Fernanda organization: Universidade de São Paulo . Núcleo de Pesquisas Epidemiológicas em Nutrição e Saúde . São Paulo , SP , Brasil – sequence: 5 givenname: Maria Laura da Costa orcidid: 0000-0002-3756-2301 surname: Louzada fullname: Louzada, Maria Laura da Costa organization: Universidade de São Paulo . Faculdade de Saúde Pública . Departamento de Nutrição . São Paulo , SP , Brasil – sequence: 6 givenname: Rafael Moreira orcidid: 0000-0001-9690-575X surname: Claro fullname: Claro, Rafael Moreira organization: Universidade Federal de Minas Gerais . Escola de Enfermagem . Departamento de Nutrição . Belo Horizonte , MG , Brasil – sequence: 7 givenname: Carlos Augusto orcidid: 0000-0002-3777-1533 surname: Monteiro fullname: Monteiro, Carlos Augusto organization: Universidade de São Paulo . Faculdade de Saúde Pública . Departamento de Nutrição . São Paulo , SP , Brasil |
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| DocumentTitleAlternate | Três décadas da disponibilidade domiciliar de alimentos segundo a NOVA – Brasil, 1987–2018 |
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| Keywords | Food Economics Alimentos Industrializados Economia dos Alimentos Alimentos, Dieta e Nutrição Fatores Socioeconômicos Staple Food Industrialized Foods Alimentação Básica Diet, Food, and Nutrition Socioeconomic Factors |
| Language | English Portuguese |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Authors’ Contribution: Study design and planning: RBL, FR, MLCL, CAM. Data collection, analysis and interpretation: RBL, GCA, GLC, FR, MLCL, RMC, CAM. Manuscript writing or reviewing: RBL, GCA, GLC, FR, MLCL, RMC, CAM. Final version approval: RBL. Public responsibility for the content of the article: RBL, GCA, GLC, FR, MLCL, RMC, CAM. Conflict of Interest: The authors declare no conflict of interest. |
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| References | Cediel, G; Reyes, M; Louzada, MLC; Martinez Steele, E; Monteiro, CA; Corvalán, C 2018; 21 Martins, APB; Levy, RB; Claro, RM; Moubarac, JC; Monteiro, CA 2013; 47 Martinez Steele, E; Baraldi, LG; Louzada, MLC; Moubarac, JC; Mozaffarian, D; Monteiro, CA 2016; 6 Singh, GM; Micha, R; Khatibzadeh, S; Lim, S; Ezzati, M; Mozaffarian, D 2015; 132 2012 2011 Barbosa Filho, FH 2017; 31 Scarborough, P; Adhikari, V; Harrington, RA; Elhussein, A; Briggs, A; Rayner, M 2020; 17 Mota, JO; Boué, G; Guillou, S; Pierre, F; Membré, JM 2019; 130 Moubarac, JC; Batal, M; Louzada, ML; Martinez Steele, E; Monteiro, CA 2017; 108 Malik, VS; Popkin, BM; Bray, GA; Després, JP; Hu, FB 2010; 121 Santos, FS; Dias, MS; Mintem, GC; Oliveira, IO; Gigante, DP 2020; 54 2003 Rauber, F; Louzada, MLC; Martinez Steele, E; Millett, C; Monteiro, CA; Levy, RB 2018; 10 Marrón-Ponce, JA; Sánchez-Pimienta, TG; Louzada, MLC; Batis, C 2018; 21 Chen, X; Zhang, Z; Yang, H; Qiu, P; Wang, H; Wang, F 2020; 19 Wang, X; Lin, X; Ouyang, YY; Liu, J; Zhao, G; Pan, A 2016; 19 Monteiro, CA; Cannon, G; Levy, RB; Moubarac, JC; Louzada, ML; Rauber, F 2019; 22 Machado, PP; Martinez Steele, E; Levy, RB; Sui, Z; Rangan, A; Woods, J 2019; 9 Ng, SW; Rivera, JA; Popkin, BM; Colchero, MA 2019; 22 He, FJ; Nowson, CA; MacGregor, GA 2006; 367 Askari, M; Heshmati, J; Shahinfar, H; Tripathi, N; Daneshzad, E 2020; 44 2021 Hu, FB 2013; 14 2020 Popkin, BM; Hawkes, C 2016; 4 2019 Martini, D; Godos, J; Bonaccio, M; Vitaglione, P; Grosso, G 2021; 13 Lane, M; Howland, G; West, M; Hockey, M; Marx, W; Loughman, A 2020; 14 Claro, RM; Baraldi, LG; Martins, AP; Bandoni, DH; Levy, RB 2014; 30 2017 Delpino, FM; Figueiredo, LM; Bielemann, RM; Silva, BGC; Santos, FS; Mintem, GC 2021; 14 Silva, JT; Garzillo, JMF; Rauber, F; Kluczkovski, A; Rivera, XS; Cruz, GL 2021; 5 2016 Elizabeth, L; Machado, P; Zinöcker, M; Baker, P; Lawrence, M 2020; 12 2015 2014 2013 Louzada, MLC; Levy, RB; Martins, APB; Claro, RM; Martinez Steele, E; Verly Jr, E 2017; 72 Pagliai, G; Dinu, M; Madarena, MP; Bonaccio, M; Iacoviello, L; Sofi, F 2021; 125 Mattiuzzi, C; Lippi, G 2021; 73 Maia, EG; Passos, CM; Levy, RB; Martins, APB; Mais, LA; Claro, RM 2020; 23 Steevens, J; Schouten, LJ; Goldbohm, RA; Brandt, PA 2011; 129 Barnard, ND; Leroy, F 2020; 112 |
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| Snippet | To evaluate the trend of household food acquisition according to the NOVA classification in Brazil between 1987-1988 and 2017-2018.
We used household food... To evaluate the trend of household food acquisition according to the NOVA classification in Brazil between 1987-1988 and 2017-2018.OBJECTIVETo evaluate the... ABSTRACT OBJECTIVE To evaluate the trend of household food acquisition according to the NOVA classification in Brazil between 1987–1988 and 2017–2018. METHODS... |
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| SubjectTerms | Brazil Diet Diet Surveys Diet, Food, and Nutrition Energy Intake Fast Foods Food Food Economics Food Handling Humans Industrialized Foods Original PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Socioeconomic Factors SOCIOLOGY Staple Food |
| Title | Three decades of household food availability according to NOVA - Brazil, 1987-2018 |
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