Universidade de São Paulo . Faculdade de Saúde Pública . Departamento de Nutrição . São Paulo , SP , Brazil.
Universidade de São Paulo . Faculdade de Medicina . Departamento de Medicina Preventiva . São Paulo , SP , Brazil.
Rev Saude Publica. 2023 Nov 10;57:82. doi: 10.11606/s1518-8787.2023057005087. eCollection 2023.
To investigate the performance of food consumption markers of the Food and Nutrition Surveillance System (Sisvan) in assessing the overall dietary quality.
The study was carried out based on the reproduction of responses to markers in 24-hour recall data from 46,164 individuals aged ≥ 10 years, from the 2017-2018 Household Budget Survey (POF). Seven Sisvan markers were evaluated, and two scores were calculated for each participant, based on the sum of the number of healthy food markers (beans, fruits, and vegetables, ranging from 0 to 3) and unhealthy (hamburgers/sausages, sweetened beverages, instant noodles/salt snacks/crackers, stuffed cookies/sweets/candies, ranging from 0 to 4) consumed. Linear regression analyses were used to assess the association between scores and diet quality indicators (ultra-processed foods, dietary diversity, and levels of saturated and trans fat, added sugar, sodium, potassium, and fiber in the diet).
The score of healthy eating markers increased significantly with increasing dietary diversity and potassium and fiber contents in the diet, while the opposite trend was observed for the densities of added sugar, sodium, saturated and trans fat (p < 0.001). The score of unhealthy eating markers increased significantly with the increase in the consumption of ultra-processed foods and densities of added sugar, saturated and trans fat levels in the diet, while an inverse trend was observed for potassium and fiber (p < 0.001). The joint analysis of the combination of the two marker scores showed that individuals with better performance (3 in the healthy food score, and 0 in the unhealthy food score) have a lower number of inadequacies in nutrient consumption.
Sisvan food consumption markers, quickly and easily applied and already incorporated into the Brazilian public health system, have good potential to reflect the overall dietary quality.
研究食品和营养监测系统（Sisvan）的食物消费标志物在评估整体饮食质量方面的表现。
本研究基于对 2017-2018 年家庭预算调查（POF）中 46164 名年龄≥10 岁的个体 24 小时回忆数据中标志物反应的再现，评估了 7 个 Sisvan 标志物，并为每位参与者计算了两个分数，基于健康食品标志物（豆类、水果和蔬菜，范围为 0 到 3）和不健康食品标志物（汉堡包/香肠、含糖饮料、方便面/咸点/饼干、夹心饼干/糖果/糖果，范围为 0 到 4）的数量总和。线性回归分析用于评估分数与饮食质量指标（超加工食品、饮食多样性以及饮食中饱和脂肪和反式脂肪、添加糖、钠、钾和纤维的水平）之间的关联。
健康饮食标志物的得分随着饮食多样性以及饮食中钾和纤维含量的增加而显著增加，而添加糖、钠、饱和脂肪和反式脂肪的密度则呈现相反的趋势（p<0.001）。不健康饮食标志物的得分随着超加工食品消费的增加以及饮食中添加糖、饱和脂肪和反式脂肪水平的增加而显著增加，而钾和纤维则呈现相反的趋势（p<0.001）。两种标志物得分的联合分析表明，表现较好的个体（健康食品得分 3，不健康食品得分 0）在营养素摄入不足方面的人数较少。
Sisvan 食物消费标志物易于快速应用，并且已经纳入巴西公共卫生系统，具有很好的反映整体饮食质量的潜力。
