Association between food addiction with ultra-processed food consumption and eating patterns in a Brazilian sample

医学 混淆 食物成瘾 环境卫生 食品科学 横断面研究 消费(社会学) 食物消费 人口学 上瘾 内科学 生物 精神科 社会科学 社会学 农业经济学 经济 病理
作者
André Eduardo da Silva Júnior,Ashley N. Gearhardt,Nassib Bezerra Bueno
出处
期刊:Appetite [Elsevier BV]
卷期号:186: 106572-106572 被引量:7
标识
DOI:10.1016/j.appet.2023.106572
摘要

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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
caojun完成签到 ,获得积分10
2秒前
科研通AI6.2应助wang采纳,获得10
2秒前
zxs666完成签到,获得积分10
4秒前
领导范儿应助犹豫的强炫采纳,获得10
4秒前
高高的从波完成签到,获得积分10
4秒前
patrickcj完成签到,获得积分10
4秒前
宁宁完成签到,获得积分10
6秒前
6秒前
Hindiii完成签到,获得积分0
7秒前
10秒前
謓言完成签到,获得积分20
10秒前
10秒前
pp009900完成签到 ,获得积分10
12秒前
q博士完成签到,获得积分10
12秒前
小笼包完成签到 ,获得积分10
13秒前
上善若水呦完成签到 ,获得积分0
13秒前
13秒前
听禾响完成签到,获得积分10
14秒前
luheian完成签到 ,获得积分10
14秒前
15秒前
AA完成签到,获得积分10
16秒前
君临天下完成签到,获得积分10
17秒前
17秒前
17秒前
赘婿应助忐忑的醉薇采纳,获得10
18秒前
打工人发布了新的文献求助10
18秒前
大模型应助科研通管家采纳,获得10
19秒前
领导范儿应助科研通管家采纳,获得30
19秒前
共享精神应助科研通管家采纳,获得10
19秒前
郭勇慧完成签到 ,获得积分10
19秒前
不秃吧应助科研通管家采纳,获得10
19秒前
风灵完成签到 ,获得积分20
19秒前
香蕉觅云应助科研通管家采纳,获得10
19秒前
天天快乐应助科研通管家采纳,获得10
19秒前
碎觉觉应助科研通管家采纳,获得10
20秒前
20秒前
上官若男应助科研通管家采纳,获得10
20秒前
共享精神应助科研通管家采纳,获得10
20秒前
彭于晏应助科研通管家采纳,获得10
20秒前
斯文败类应助456qwe采纳,获得10
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Health Psychology 800
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 500
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7592796
求助须知:如何正确求助?哪些是违规求助? 9170084
关于积分的说明 19627059
捐赠科研通 7170664
什么是DOI,文献DOI怎么找? 3267520
关于科研通互助平台的介绍 2432405
邀请新用户注册赠送积分活动 2260061