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Alves, Iuna Arruda; Jessri, Mahsa; Monteiro, Luana Silva; Gomes, Luiz Eduardo da Silva; Lopes, Taís de Souza; Yokoo, Edna Massae; Sichieri, Rosely; Pereira, Rosangela Alves

Multidisciplinary Digital Publishing Institute

Hybrid methods are a suitable option for extracting dietary patterns associated with health outcomes. This study aimed to identify the dietary patterns of Brazilian adults (20–59 years old; n = 28,153) related to dietary components associated with the risk of obesity. Data from the 2017–2018 Brazilian National Dietary Survey were analyzed. Food consumption was obtained through 24 h recall. Dietary patterns were extracted using partial least squares regression, using energy density (ED), percentage of total fat (%TF), and fiber density (FD) as response variables. In addition, 32 food groups were established as predictor variables in the model. The first dietary pattern, named as energy-dense and low-fiber (ED-LF), included with the positive factor loadings solid fats, breads, added-sugar beverages, fast foods, sauces, pasta, and cheeses, and negative factor loadings rice, beans, vegetables, water, and fruits (≥|0.15|). Higher adherence to the ED-LF dietary pattern was observed for individuals >40 years old from urban areas, in the highest income level, who were not on a diet, reported away-from-home food consumption, and having ≥1 snack/day. The dietary pattern characterized by a low intake of fruits, vegetables, and staple foods and a high intake of fast foods and sugar-sweetened beverages may contribute to the obesity scenario in Brazil.

Article

eng

Vancouver : University of British Columbia Library

10.14288/1.0445384

Land and Food Systems, Faculty of; Non UBC

10.3390/ijerph21081038

Faculty; Researcher

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