• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

NutriNet-巴西研究,一项关于饮食模式与慢性病风险的基于网络的前瞻性研究:队列简介。

NutriNet-Brasil, a web-based prospective study on dietary patterns and risk of chronic diseases: cohort profile.

作者信息

Costa Caroline Dos Santos, Gabe Kamila Tiemann, Dos Santos Francine Silva, Leite Maria Alvim, Quinta Fernanda Paranhos, Torquato Beatriz Menezes de Albuquerque, Martinez Steele Euridice, Rauber Fernanda, Rezende Leandro F M, da Costa Louzada Maria Laura, Levy Renata B, Monteiro Carlos A

机构信息

Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.

School of Public Health, University of São Paulo, São Paulo, SP, Brazil.

出版信息

BMJ Open. 2025 Jul 25;15(7):e095683. doi: 10.1136/bmjopen-2024-095683.

DOI:10.1136/bmjopen-2024-095683
PMID:40713042
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12306213/
Abstract

PURPOSE

Non-communicable diseases (NCDs), such as diabetes, cardiovascular diseases and cancer, are major global public health concerns. Diet quality-particularly the consumption of ultra-processed foods-has been associated with increased risk of NCDs. Traditional cohort studies are often expensive and logistically complex. The NutriNet-Brasil cohort leverages a web-based approach, offering a cost-effective and practical solution for comprehensive data collection and long-term follow-up.

PARTICIPANTS

Recruitments began in January 2020 through mass media, social media campaigns and collaborations with health organisations. Eligible participants are adults (aged ≥18 years) living in Brazil with internet access. Participants complete self-administered online questionnaires covering dietary intake, health status and other health determinants. Dietary assessment is based on the Nova classification system, which categorises foods by their level of processing.

FINDINGS TO DATE

Over 88 000 participants have completed the initial questionnaire. The cohort is predominantly women (79.9%) and highly educated (67.9% had completed higher education). The web-based design enabled the development and application of innovative dietary assessment tools, including the and the , specifically designed to evaluate food processing levels. These tools have shown good performance in capturing dietary patterns and are central to the cohort's aim. The online platform facilitates efficient recruitment, data collection and participant retention.

FUTURE PLANS

NutriNet-Brasil is pioneering the development of web-based cohort methodologies and instruments tailored to food processing research. Future work includes leveraging collaborations with national and international research centres to conduct multidisciplinary analyses and inform public health policies.

摘要

目的

糖尿病、心血管疾病和癌症等非传染性疾病是全球主要的公共卫生问题。饮食质量,尤其是超加工食品的消费,与非传染性疾病风险增加有关。传统队列研究通常成本高昂且在后勤方面较为复杂。巴西营养网队列采用基于网络的方法,为全面的数据收集和长期随访提供了一种经济高效且实用的解决方案。

参与者

招募工作于2020年1月开始,通过大众媒体、社交媒体宣传活动以及与健康组织的合作展开。符合条件的参与者是居住在巴西且能上网的成年人(年龄≥18岁)。参与者需完成涵盖饮食摄入、健康状况和其他健康决定因素的自我管理在线问卷。饮食评估基于诺瓦分类系统,该系统根据食品的加工水平对其进行分类。

迄今的研究结果

超过88000名参与者完成了初始问卷。该队列以女性为主(79.9%),且受教育程度较高(67.9%完成了高等教育)。基于网络的设计使得能够开发和应用创新的饮食评估工具,包括专门设计用于评估食品加工水平的[具体工具1]和[具体工具2]。这些工具在捕捉饮食模式方面表现良好,是该队列目标的核心。在线平台便于高效招募、数据收集和参与者留存。

未来计划

巴西营养网正在开创基于网络的队列方法和工具的开发,这些方法和工具是为食品加工研究量身定制的。未来的工作包括利用与国内和国际研究中心的合作进行多学科分析,并为公共卫生政策提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c98/12306213/b4e40d2d601f/bmjopen-15-7-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c98/12306213/b4e40d2d601f/bmjopen-15-7-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c98/12306213/b4e40d2d601f/bmjopen-15-7-g001.jpg

相似文献

1
NutriNet-Brasil, a web-based prospective study on dietary patterns and risk of chronic diseases: cohort profile.NutriNet-巴西研究,一项关于饮食模式与慢性病风险的基于网络的前瞻性研究:队列简介。
BMJ Open. 2025 Jul 25;15(7):e095683. doi: 10.1136/bmjopen-2024-095683.
2
Cohort profile: the open, prospective Community-Based chronic Care Lesotho (ComBaCaL) cohort - design, baseline chronic disease risk factors and hypertension and diabetes care cascades.队列简介:开放的前瞻性莱索托社区慢性护理(ComBaCaL)队列——设计、基线慢性病风险因素以及高血压和糖尿病护理流程。
BMJ Open. 2025 Jul 25;15(7):e093852. doi: 10.1136/bmjopen-2024-093852.
3
Adaptive e-learning to improve dietary behaviour: a systematic review and cost-effectiveness analysis.自适应电子学习改善饮食行为:系统评价和成本效益分析。
Health Technol Assess. 2011 Oct;15(37):1-160. doi: 10.3310/hta15370.
4
The Association Between Ultra-Processed Food Consumption and Chronic Insomnia in the NutriNet-Santé Study.《NutriNet-Santé 研究中超加工食品消费与慢性失眠的关系》。
J Acad Nutr Diet. 2024 Sep;124(9):1109-1117.e2. doi: 10.1016/j.jand.2024.02.015. Epub 2024 Feb 28.
5
The risks, benefits, and resource implications of different diets in gastrostomy-fed children: The YourTube mixed method study.胃造口喂养儿童不同饮食的风险、益处及资源影响:YouTube混合方法研究
Health Technol Assess. 2025 Jul;29(25):1-21. doi: 10.3310/RRREF7741.
6
Nutritional interventions for survivors of childhood cancer.儿童癌症幸存者的营养干预措施。
Cochrane Database Syst Rev. 2016 Aug 22;2016(8):CD009678. doi: 10.1002/14651858.CD009678.pub2.
7
Targeted mass media interventions promoting healthy behaviours to reduce risk of non-communicable diseases in adult, ethnic minorities.针对成年少数民族群体,通过有针对性的大众媒体干预措施来促进健康行为,以降低非传染性疾病风险。
Cochrane Database Syst Rev. 2017 Feb 17;2(2):CD011683. doi: 10.1002/14651858.CD011683.pub2.
8
Web-Based Education Program for Care Partners of People Living With Dementia (iGeriCare): Protocol for a Pilot Randomized Controlled Trial.基于网络的痴呆症患者护理伙伴教育项目(iGeriCare):一项试点随机对照试验方案
JMIR Res Protoc. 2025 Jun 4;14:e67048. doi: 10.2196/67048.
9
Short-Term Memory Impairment短期记忆障碍
10
Management of urinary stones by experts in stone disease (ESD 2025).结石病专家对尿路结石的管理(2025年结石病专家共识)
Arch Ital Urol Androl. 2025 Jun 30;97(2):14085. doi: 10.4081/aiua.2025.14085.

本文引用的文献

1
QuestNova: innovation in food consumption assessment according to industrial processing.QuestNova:基于工业加工的食品消费评估创新。
Rev Saude Publica. 2024 Nov 22;58:38. doi: 10.11606/s1518-8787.2024058006307. eCollection 2024.
2
Description and performance of two diet quality scores based on the Nova classification.基于 Nova 分类的两种饮食质量评分的描述和表现。
Rev Saude Publica. 2024 Nov 25;58:47. doi: 10.11606/s1518-8787.2024058006470. eCollection 2024.
3
Adherence to the ultra-processed dietary pattern and risk of depressive outcomes: Findings from the NutriNet Brasil cohort study and an updated systematic review and meta-analysis.
坚持超加工饮食模式与抑郁结局风险:巴西营养网队列研究及最新系统评价与荟萃分析的结果
Clin Nutr. 2024 May;43(5):1190-1199. doi: 10.1016/j.clnu.2024.03.028. Epub 2024 Apr 1.
4
Ultra-processed food exposure and adverse health outcomes: umbrella review of epidemiological meta-analyses.超加工食品暴露与健康不良结局:流行病学荟萃分析的伞式综述。
BMJ. 2024 Feb 28;384:e077310. doi: 10.1136/bmj-2023-077310.
5
Is the adherence to the food practices recommended by the dietary guidelines for the Brazilian population associated with diet quality?巴西居民的食物摄取习惯是否符合饮食指南推荐的标准与饮食质量有关吗?
Appetite. 2023 Nov 1;190:107011. doi: 10.1016/j.appet.2023.107011. Epub 2023 Aug 25.
6
A novel web-based 24-h dietary recall tool in line with the Nova food processing classification: description and evaluation.一种新型基于网络的 24 小时膳食回忆工具,符合 Nova 食品加工分类:描述与评估。
Public Health Nutr. 2023 Oct;26(10):1997-2004. doi: 10.1017/S1368980023001623. Epub 2023 Aug 7.
7
Nova diet quality scores and risk of weight gain in the NutriNet-Brasil cohort study.巴西 NutriNet 队列研究中新的饮食质量评分与体重增加风险。
Public Health Nutr. 2023 Nov;26(11):2366-2373. doi: 10.1017/S1368980023001532. Epub 2023 Jul 31.
8
Effect of a new graphically modified Nutri-Score on the objective understanding of foods' nutrient profile and ultraprocessing: a randomised controlled trial.一种新的图形化改良营养评分对食物营养成分和超加工客观理解的影响:一项随机对照试验。
BMJ Nutr Prev Health. 2023 Jun;6(1):108-118. doi: 10.1136/bmjnph-2022-000599. Epub 2023 Jun 8.
9
Higher adherence to the EAT-Lancet reference diet is associated with higher nutrient adequacy in the NutriNet-Santé cohort: a cross-sectional study.EAT-柳叶刀参考饮食的更高依从性与 NutriNet-Santé 队列中更高的营养充足性相关:一项横断面研究。
Am J Clin Nutr. 2023 Jun;117(6):1174-1185. doi: 10.1016/j.ajcnut.2023.03.029. Epub 2023 Apr 3.
10
Dietary exposure to nitrites and nitrates in association with type 2 diabetes risk: Results from the NutriNet-Santé population-based cohort study.饮食中摄入的亚硝酸盐和硝酸盐与 2 型糖尿病风险的关系:基于 NutriNet-Santé 人群队列研究的结果。
PLoS Med. 2023 Jan 17;20(1):e1004149. doi: 10.1371/journal.pmed.1004149. eCollection 2023 Jan.