Neves Felipe Silva, Fontes Vanessa Sequeira, Nogueira Mário Círio, Melo Adriana Soares Torres, Campos Angélica Atala Lombelo, Lima Kelly Pereira de, Faria Eliane Rodrigues de, Netto Michele Pereira, Oliveira Renata Maria Souza, Cândido Ana Paula Carlos
Department of Nutrition, Institute of Biological Sciences, Federal University of Juiz de Fora - UFJF, Juiz de Fora, MG, Brazil; Graduate Program in Public Health, Department of Public Health, School of Medicine, Federal University of Juiz de Fora - UFJF, Juiz de Fora, MG, Brazil.
Department of Public Health, School of Medicine, Federal University of Juiz de Fora - UFJF, Juiz de Fora, MG, Brazil.
Appetite. 2022 Jan 1;168:105787. doi: 10.1016/j.appet.2021.105787. Epub 2021 Nov 2.
This cross-sectional study estimated associations of eating contexts (including regularity of meals, places where they occur, and if they take place with attention and in company) with food consumption by degree of industrial processing and overweight indicators in a sample of Brazilian adolescents (14-19 years old) enrolled in 29 public schools in Juiz de Fora, MG (n = 805). We used an exploratory questionnaire, which was submitted to cluster analysis. Three clusters were identified: cluster 1 (n = 572), "appropriate eating contexts at breakfast, lunch, and dinner"; cluster 2 (n = 139), "inappropriate eating context at breakfast"; and cluster 3 (n = 94) "inappropriate eating context at dinner". The evaluation of food consumption involved two 24-h dietary recalls, whose items were analyzed according to the NOVA classification system. Linear regression models were performed, using cluster 1 as reference. Clusters 2 and 3 were associated with an increase in the energy fraction from ultra-processed foods [respectively, β = 2.55% (IC 95%: 0.50; 5.05) and β = 4.18% (IC 95%: 1.21; 7.14)]; and cluster 2 was associated with a reduction in the energy fraction from unprocessed or minimally processed foods and processed culinary ingredients [β = -3.61% (IC 95%: -6.40; -0.82)]. Additionally, clusters 2 and 3 were associated with an increase of body mass index for age [respectively, β = 0.23 z-score (IC 95%: 0.01; 0.46) and β = 0.27 z-score (IC 95%: 0.02; 0.54)]; and cluster 2 was associated with an increase of body fat [β = 1.21% (IC 95%: 0.23; 2.64)]. In conclusion, inappropriate eating contexts at breakfast and dinner were associated with higher ultra-processed food intake, higher body mass index and higher body fat percentage.
这项横断面研究评估了进餐环境(包括用餐规律、用餐地点以及是否专心且有人陪伴用餐)与食品工业化加工程度及超重指标之间的关联,研究对象为米纳斯吉拉斯州茹伊斯迪福拉市29所公立学校的805名巴西青少年(年龄在14至19岁之间)。我们采用了一份探索性问卷,并对其进行聚类分析。共识别出三个类别:类别1(n = 572),“早餐、午餐和晚餐用餐环境适宜”;类别2(n = 139),“早餐用餐环境不当”;类别3(n = 94),“晚餐用餐环境不当”。食品消费评估采用了两次24小时饮食回顾法,其条目根据NOVA分类系统进行分析。以类别1为参照,建立线性回归模型。类别2和类别3与超加工食品能量占比增加相关[分别为β = 2.55%(95%置信区间:0.50;5.05)和β = 4.18%(95%置信区间:1.21;7.14)];类别2与未加工或最低限度加工食品及加工烹饪原料的能量占比降低相关[β = -3.61%(95%置信区间:-6.40;-0.82)]。此外,类别2和类别3与年龄别体重指数增加相关[分别为β = 0.23标准差(95%置信区间:0.01;0.46)和β = 0.27标准差(95%置信区间:0.02;0.54)];类别2与体脂增加相关[β = 1.21%(95%置信区间:0.23;2.64)]。总之,早餐和晚餐的不当用餐环境与更高的超加工食品摄入量、更高的体重指数和更高的体脂百分比相关。