Estimativa da participação calórica de alimentos ultraprocessados nos municípios brasileiros Article Swipe

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Leandro Teixeira Cacau , Maria Helena D’Aquino Benício , Renata Bertazzi Levy , Maria Laura da Costa Louzada ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.1590/scielopreprints.9995

Objetivo : Estimar a participação calórica de alimentos ultraprocessados (% AUP) em 5.570 municípios brasileiros. Métodos : A estimativa de % AUP nos municípios foi realizada a partir de um modelo estatístico de predição construído com base nos dados de 46.164 indivíduos com idades > 10 anos participantes da Pesquisa de Orçamentos Familiares (POF 2017-2018). A regressão linear múltipla foi usada para estimar a % média de AUP (medida por meio de dois registros alimentares de 24 horas) em função das variáveis preditoras (sexo, idade, renda, escolaridade, raça/cor, urbanidade, unidades da federação e localização geográfica ). O modelo foi avaliado quanto a sua adequação por meio de análise de resíduos e pela comparação entre valores preditos pelo modelo e mensurados diretamente na POF 2017-2018 por meio do coeficiente de brilho-concordância de Lin (CCC). Os coeficientes lineares obtidos no modelo de regressão linear múltiplo foram aplicados aos dados sociodemográficos da amostra do Censo de 2010 (aferidos de forma semelhante à POF) para estimar o % de AUP de cada um dos municípios. Resultados : O modelo estatístico mostrado-se adequado, apresentando distribuição normal dos resíduos e um CCC de 0,84, proporção concordância quase perfeita. Foi observada uma heterogeneidade na distribuição das estimativas de % AUP, variando de 5,75% em Aroeiras do Itaim (PI) a 30,5% em Florianópolis (SC). As estimativas de % AUP foram mais altas ( > 20%) em municípios da região Sul e do estado de São Paulo. As capitais apresentam maiores estimativas de participação calórica de alimentos ultraprocessados em relação aos demais municípios de seus estados. Conclusões : O modelo preditivo revelou diferenças de % AUP entre os municípios brasileiros. As estimativas geradas podem contribuir para o monitoramento do consumo alimentar de ultraprocessados no nível municipal e fortalecer e subsidiar a criação de políticas públicas focadas na promoção da alimentação saudável.

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Type: preprint
Language: pt
Landing Page: http://doi.org/10.1590/scielopreprints.9995
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DOI: https://doi.org/10.1590/scielopreprints.9995

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Title: Estimativa da participação calórica de alimentos ultraprocessados nos municípios brasileiros

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Type: preprint

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Language: pt

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Publication year: 2024

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Publication date: 2024-09-17

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Authors: Leandro Teixeira Cacau, Maria Helena D’Aquino Benício, Renata Bertazzi Levy, Maria Laura da Costa Louzada

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Landing page: https://doi.org/10.1590/scielopreprints.9995

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