Postgraduate Program in Nutrition, Faculdade de Nutrição, Universidade Federal de São Paulo, São Paulo, SP, Brazil; Laboratório de Nutrição e Metabolismo, Postgraduate Program in Nutrition, Faculdade de Nutrição, Universidade Federal de Alagoas, Maceió, AL, Brazil.
Department of Psychology, University of Michigan, Ann Arbor, MI, USA.
Appetite. 2023 Jul 1;186:106572. doi: 10.1016/j.appet.2023.106572. Epub 2023 Apr 20.
The study objectives were to determine whether consumption of ultra-processed foods (UPF) and eating patterns are associated with food addiction (FA) in a Brazilian sample. This is a cross-sectional study. The Brazilian Food and Nutrition Surveillance System tool assessed food consumption markers and dietary patterns. The modified Yale Food Addiction Scale 2.0 was used to determine FA. 5946 participants were included with a mean age of 24 ± 6 years, and 4371 (73.5%) were female. After statistical adjustments for confounders, individuals with FA had lower consumption of fresh fruits (PR: 0.88; 95%CI: [0.79; 0.97]), vegetables (PR: 0.87; 95%CI: [0.79; 0.97]), and beans (PR: 0.85; 95%CI: [0.77; 0.95]). They also had higher consumption of UPF: hamburgers/sausages (PR: 1.15; 95%CI: [1.04; 1.27]), instant noodles, packaged snacks, and/or salty cookies (PR: 1.27; 95%CI: [1.13; 1.42]), and sandwich cookies, sweets, and/or treats (PR: 1.26; 95%CI: [1.14; 1.40]). Positive associations between FA and having meals in front of the screen (PR: 1.48; 95%CI: [1.28; 1.71]) and having a late-night snack (PR: 1.24; 95%CI: [1.11; 1.39]) remained. The negative association between FA and skipping breakfast (PR: 0.76; 95%CI: [0.68; 0.85]) also remained. These eating patterns may contribute to FA, which could be potential targets for clinical intervention.
研究目的是确定在巴西样本中，超加工食品（UPF）的消费和饮食模式是否与食物成瘾（FA）有关。这是一项横断面研究。巴西食品和营养监测系统工具评估了食物消费标志物和饮食模式。使用改良耶鲁食物成瘾量表 2.0 来确定 FA。共纳入 5946 名参与者，平均年龄为 24±6 岁，其中 4371 名（73.5%）为女性。在对混杂因素进行统计调整后，FA 患者新鲜水果（PR：0.88；95%CI：[0.79；0.97]）、蔬菜（PR：0.87；95%CI：[0.79；0.97]）和豆类（PR：0.85；95%CI：[0.77；0.95]）的摄入量较低。他们也摄入了更多的 UPF：汉堡/香肠（PR：1.15；95%CI：[1.04；1.27]）、方便面、包装零食和/或咸饼干（PR：1.27；95%CI：[1.13；1.42]）和夹心饼干、糖果和/或点心（PR：1.26；95%CI：[1.14；1.40]）。FA 与在屏幕前用餐（PR：1.48；95%CI：[1.28；1.71]）和吃夜宵（PR：1.24；95%CI：[1.11；1.39]）之间存在正相关关系。FA 与不吃早餐（PR：0.76；95%CI：[0.68；0.85]）之间的负相关关系仍然存在。这些饮食模式可能导致 FA，这可能是临床干预的潜在目标。
