Graduate Program in Nutrition in Public Health, School of Public Health, University of São Paulo. Av. Dr. Arnaldo, 715 - Cerqueira César, São Paulo, SP, 01246-904, Brazil; Center for Epidemiological Research in Nutrition and Health, Department of Nutrition, School of Public Health, University of São Paulo. Av. Dr. Arnaldo, 715 - Cerqueira César, São Paulo, SP, 01246-904, Brazil.
Department of Nutrition, School of Public Health, University of São Paulo. Av. Dr. Arnaldo, 715 - Cerqueira César, São Paulo, SP, 01246-904, Brazil; Center for Epidemiological Research in Nutrition and Health, Department of Nutrition, School of Public Health, University of São Paulo. Av. Dr. Arnaldo, 715 - Cerqueira César, São Paulo, SP, 01246-904, Brazil.
Appetite. 2023 Nov 1;190:107011. doi: 10.1016/j.appet.2023.107011. Epub 2023 Aug 25.
The Brazilian Food Guide (BFG)'s messages are mostly qualitative and focused on food practices, such as meal planning, cooking, and eating modes. This study sough to investigate whether the adherence to these food practices is aligned with diet quality.
A quota-based subsample of the NutriNet-Brasil Cohort (n = 2052) completed the Food Practices Brazil Scale (FPBr), a 24-item scale assessing the adherence to healthy eating practices recommended by the BFG. Four possible frequency-based answers are given and a score ranging from 0 to 72 is calculated by summing them (FPBr-score). Data from web-based 24-h recalls were used for calculating the usual percentage of energy intake (%energy) of ten food groups based on the level of food processing: plant-based unprocessed or minimally processed foods; processed foods; ultra-processed foods; fruits; vegetables; whole grains; beans and other legumes; nuts; red meat; and table sugar. The association between quartiles of the FPBr-score and food groups' %energy was analysed through crude and adjusted linear regression models.
Except for red meat, all the other food groups were linearly associated with the FPBr-score in the expected direction. For example, adjusted means for the %energy of plant-based unprocessed or minimally processed foods were 26.7% (CI95% 25.9-27.5) and 36.8% (CI95% 36.0-37.6) among those classified in the first and fourth quartiles of the FPBr-score, respectively. For ultra-processed foods, these percentages were 27.0 (CI95% 26.3-27.8) against 17.5 (CI95% 16.7-18.3).
These results support the use of messages based on practices and behaviors in Food-Based Dietary Guidelines. At the same time, they call attention to the importance of policies that enable people to adopt healthier food practices.
巴西食品指南(BFG)的信息主要是定性的,侧重于饮食实践,如膳食计划、烹饪和饮食模式。本研究旨在调查这些饮食实践的遵守情况是否与饮食质量一致。
NutriNet-Brasil 队列(n=2052)的配额基础子样本完成了巴西食品实践量表(FPBr),这是一个 24 项量表,评估了对 BFG 推荐的健康饮食实践的遵守情况。给出了四个可能的基于频率的答案,并通过将它们相加计算出 0 到 72 的分数(FPBr-分数)。使用基于网络的 24 小时回忆数据,根据食物加工水平计算了十个食物组的通常能量摄入百分比(%energy):植物性未加工或最低限度加工的食物;加工食品;超加工食品;水果;蔬菜;全谷物;豆类和其他豆类;坚果;红肉;和食糖。通过未经调整和调整后的线性回归模型分析了 FPBr 分数四分位数与食物组%energy 的关系。
除了红肉外,所有其他食物组都与 FPBr 分数呈线性相关,且方向与预期一致。例如,在 FPBr 分数分类的第一和第四四分位数的人群中,植物性未加工或最低限度加工食物的%energy 调整平均值分别为 26.7%(95%CI95% 25.9-27.5)和 36.8%(95%CI95% 36.0-37.6)。对于超加工食品,这些百分比分别为 27.0%(95%CI95% 26.3-27.8)和 17.5%(95%CI95% 16.7-18.3)。
这些结果支持在基于食物的膳食指南中使用基于实践和行为的信息。同时,它们提请注意政策的重要性,这些政策使人们能够采用更健康的饮食实践。