Application of the Nova food classification to the 2017-2018 Household Budget Survey: monitoring adherence to the recommendations of the Dietary Guidelines for the Brazilian Population
Abstract Objective To describe the food categorization method of the 2017-2018 Household Budget Survey as per the Nova classification, bringing transparency and replicability to the process of monitoring adherence to the recommendations of the Dietary Guidelines for the Brazilian Population. Meth...
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Ministério da Saúde do Brasil
2025-05-01
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| Series: | Epidemiologia e Serviços de Saúde |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2237-96222025000100229&lng=en&tlng=en |
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| author | Gabriela Lopes da Cruz Giovanna Calixto Andrade Fernanda Rauber Renata Bertazzi Levy Maria Laura da Costa Louzada |
| author_facet | Gabriela Lopes da Cruz Giovanna Calixto Andrade Fernanda Rauber Renata Bertazzi Levy Maria Laura da Costa Louzada |
| author_sort | Gabriela Lopes da Cruz |
| collection | DOAJ |
| description | Abstract Objective To describe the food categorization method of the 2017-2018 Household Budget Survey as per the Nova classification, bringing transparency and replicability to the process of monitoring adherence to the recommendations of the Dietary Guidelines for the Brazilian Population. Methods The foods reported in the Survey were classified in four stages, namely: identification of culinary preparations and items composed of more than one food; determination of the recipe for culinary preparations and items to be disaggregated; application of the Nova classification; sensitivity analysis. Results After disaggregation, 1,856 items were classified according to the Nova classification, consisting of 1,050 unprocessed or minimally processed foods, 54 processed culinary ingredients, 160 processed foods and 592 ultra-processed foods. Foods whose classification raised questions during the accounted for 4% of the total dietary energy. The contribution of ultra-processed food to total caloric intake varied from 19.7% (95% confidence interval [95%CI] 19.3; 20.1) to 17.7% (95%CI 17.4; 18.1) after conducting sensitivity analysis. Conclusion Using a standardized method to apply the Nova classification to the Household Budget Survey was effective and led to estimates whose uncertainties minimally affected the overall results. The methodology presented can be replicated in future editions of the Household Budget Survey and other food consumption studies, strengthening food and nutritional surveillance as applied to the Dietary Guidelines. |
| format | Article |
| id | doaj-art-4e93c6e4675c4779944a55a022d7b205 |
| institution | OA Journals |
| issn | 2237-9622 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Ministério da Saúde do Brasil |
| record_format | Article |
| series | Epidemiologia e Serviços de Saúde |
| spelling | doaj-art-4e93c6e4675c4779944a55a022d7b2052025-08-20T02:33:12ZengMinistério da Saúde do BrasilEpidemiologia e Serviços de Saúde2237-96222025-05-013410.1590/s2237-96222025v34e20240369.enApplication of the Nova food classification to the 2017-2018 Household Budget Survey: monitoring adherence to the recommendations of the Dietary Guidelines for the Brazilian PopulationGabriela Lopes da Cruzhttps://orcid.org/0000-0002-8220-3498Giovanna Calixto Andradehttps://orcid.org/0000-0002-1901-3093Fernanda Rauberhttps://orcid.org/0000-0001-9693-7954Renata Bertazzi Levyhttps://orcid.org/0000-0001-5388-7002Maria Laura da Costa Louzadahttps://orcid.org/0000-0002-3756-2301Abstract Objective To describe the food categorization method of the 2017-2018 Household Budget Survey as per the Nova classification, bringing transparency and replicability to the process of monitoring adherence to the recommendations of the Dietary Guidelines for the Brazilian Population. Methods The foods reported in the Survey were classified in four stages, namely: identification of culinary preparations and items composed of more than one food; determination of the recipe for culinary preparations and items to be disaggregated; application of the Nova classification; sensitivity analysis. Results After disaggregation, 1,856 items were classified according to the Nova classification, consisting of 1,050 unprocessed or minimally processed foods, 54 processed culinary ingredients, 160 processed foods and 592 ultra-processed foods. Foods whose classification raised questions during the accounted for 4% of the total dietary energy. The contribution of ultra-processed food to total caloric intake varied from 19.7% (95% confidence interval [95%CI] 19.3; 20.1) to 17.7% (95%CI 17.4; 18.1) after conducting sensitivity analysis. Conclusion Using a standardized method to apply the Nova classification to the Household Budget Survey was effective and led to estimates whose uncertainties minimally affected the overall results. The methodology presented can be replicated in future editions of the Household Budget Survey and other food consumption studies, strengthening food and nutritional surveillance as applied to the Dietary Guidelines.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2237-96222025000100229&lng=en&tlng=enFood and Nutritional SurveillanceNutrition SurveysDietary GuidelinesNova ClassificationCross-Sectional Studies |
| spellingShingle | Gabriela Lopes da Cruz Giovanna Calixto Andrade Fernanda Rauber Renata Bertazzi Levy Maria Laura da Costa Louzada Application of the Nova food classification to the 2017-2018 Household Budget Survey: monitoring adherence to the recommendations of the Dietary Guidelines for the Brazilian Population Epidemiologia e Serviços de Saúde Food and Nutritional Surveillance Nutrition Surveys Dietary Guidelines Nova Classification Cross-Sectional Studies |
| title | Application of the Nova food classification to the 2017-2018 Household Budget Survey: monitoring adherence to the recommendations of the Dietary Guidelines for the Brazilian Population |
| title_full | Application of the Nova food classification to the 2017-2018 Household Budget Survey: monitoring adherence to the recommendations of the Dietary Guidelines for the Brazilian Population |
| title_fullStr | Application of the Nova food classification to the 2017-2018 Household Budget Survey: monitoring adherence to the recommendations of the Dietary Guidelines for the Brazilian Population |
| title_full_unstemmed | Application of the Nova food classification to the 2017-2018 Household Budget Survey: monitoring adherence to the recommendations of the Dietary Guidelines for the Brazilian Population |
| title_short | Application of the Nova food classification to the 2017-2018 Household Budget Survey: monitoring adherence to the recommendations of the Dietary Guidelines for the Brazilian Population |
| title_sort | application of the nova food classification to the 2017 2018 household budget survey monitoring adherence to the recommendations of the dietary guidelines for the brazilian population |
| topic | Food and Nutritional Surveillance Nutrition Surveys Dietary Guidelines Nova Classification Cross-Sectional Studies |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2237-96222025000100229&lng=en&tlng=en |
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