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.

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

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