• 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

基于 Nova 分类的两种饮食质量评分的描述和表现。

Description and performance of two diet quality scores based on the Nova classification.

机构信息

Universidade de São Paulo. Faculdade de Saúde Pública. Núcleo de Pesquisas Epidemiológicas em Nutrição e Saúde. São Paulo, SP, Brasil.

Universidade Federal de Ciências da Saúde de Porto Alegre. Departamento de Nutrição. Porto Alegre, RS, Brasil.

出版信息

Rev Saude Publica. 2024 Nov 25;58:47. doi: 10.11606/s1518-8787.2024058006470. eCollection 2024.

DOI:10.11606/s1518-8787.2024058006470
PMID:39607210
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11548913/
Abstract

OBJECTIVE

To describe two low-burden diet quality scores and evaluate their performance in reflecting the dietary share of the least and most processed foods defined within the Nova food system classification.

METHODS

This cross-sectional study included data from the NutriNet-Brasil cohort. Participants answered the Nova24hScreener, a 3-minute self-administered questionnaire measuring the consumption of a set of foods on the day before. Food items included in this tool belong to two main groups of the Nova classification: unprocessed or minimally processed whole plant foods (WPF, 33 items) and ultra-processed foods (UPF, 23 items). Two scores were obtained by summing the number of items checked: the Nova-WPF and the Nova-UPF. We compared the scores, respectively, with the dietary intake (% of total energy) of all unprocessed or minimally processed whole plant foods and all ultra-processed foods obtained from a full self-administered web-based 24-hour recall performed on the same day.

RESULTS

The approximate quintiles of each score had a direct and linear relationship with the corresponding % of energy intake (p-value for linear trend < 0.001). We found a substantial agreement between the intervals of each score and the corresponding % of energy intake (Nova-WPF score: Prevalence-Adjusted and Bias-Adjusted Kappa (PABAK) 0.72, 95%CI 0.64-0.81; Nova-UPF score: PABAK 0.79, 95%CI 0.69-0.88).

CONCLUSIONS

These two scores performed well against the dietary share of unprocessed or minimally processed whole plant foods and ultra-processed foods in Brazil and can be used to evaluate and monitor diet quality.

摘要

目的

描述两种低负担的饮食质量评分,并评估它们在反映基于 Nova 食品系统分类定义的最少和最多加工食品的饮食份额方面的表现。

方法

这是一项横断面研究,纳入了 NutriNet-Brasil 队列的数据。参与者回答了 Nova24hScreener,这是一种 3 分钟的自我管理问卷,用于测量前一天的一组食物的摄入量。该工具中包含的食物项目属于 Nova 分类的两个主要组:未加工或最低限度加工的植物性食物(WPF,33 种)和超加工食品(UPF,23 种)。通过将检查的项目数量相加,获得了两个评分:Nova-WPF 和 Nova-UPF。我们分别将这些评分与同日进行的完全基于网络的 24 小时回顾性调查中获得的所有未加工或最低限度加工的植物性食物和所有超加工食品的饮食摄入量(总能量的%)进行比较。

结果

每个评分的近似五分位数与相应的能量摄入%呈直接和线性关系(线性趋势的 p 值<0.001)。我们发现每个评分的间隔与相应的能量摄入%之间存在实质性一致性(Nova-WPF 评分:调整后流行率和偏差调整后的 Kappa(PABAK)0.72,95%CI 0.64-0.81;Nova-UPF 评分:PABAK 0.79,95%CI 0.69-0.88)。

结论

这两个评分在巴西对未加工或最低限度加工的植物性食物和超加工食品的饮食份额表现良好,可用于评估和监测饮食质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0ae/11548913/26c0185c7731/1518-8787-rsp-58-47-gf03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0ae/11548913/03fbcd7948fa/1518-8787-rsp-58-47-gf01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0ae/11548913/022750ecf672/1518-8787-rsp-58-47-gf02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0ae/11548913/26c0185c7731/1518-8787-rsp-58-47-gf03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0ae/11548913/03fbcd7948fa/1518-8787-rsp-58-47-gf01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0ae/11548913/022750ecf672/1518-8787-rsp-58-47-gf02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0ae/11548913/26c0185c7731/1518-8787-rsp-58-47-gf03.jpg

相似文献

1
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.
2
Nova score for the consumption of ultra-processed foods: description and performance evaluation in Brazil.超加工食品摄入量的诺瓦评分:巴西的描述和性能评估。
Rev Saude Publica. 2021 Apr 14;55:13. doi: 10.11606/s1518-8787.2021055003588. eCollection 2021.
3
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.
4
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.
5
Validation of the NOVA score for the consumption of ultra-processed foods by young women of Medellín, Colombia.哥伦比亚麦德林年轻女性超加工食品消费的NOVA评分验证
Ann N Y Acad Sci. 2023 Oct;1528(1):69-76. doi: 10.1111/nyas.15054. Epub 2023 Aug 17.
6
Relative Validity and Reproducibility of a Food Frequency Questionnaire to Assess Energy Intake from Minimally Processed and Ultra-Processed Foods in Young Children.评估幼儿最低限度加工和超加工食品能量摄入的食物频率问卷的相对有效性和可重复性。
Nutrients. 2019 Jun 7;11(6):1290. doi: 10.3390/nu11061290.
7
Assessment of ultra processed foods consumption in Senegal: validation of the Nova-UPF screener.塞内加尔超加工食品消费情况评估:诺瓦超加工食品筛选器的验证
Arch Public Health. 2024 Jan 10;82(1):4. doi: 10.1186/s13690-024-01239-y.
8
Consumption of ultra-processed food products and diet quality among children, adolescents and adults in Belgium.比利时儿童、青少年和成年人对超加工食品的消费与饮食质量。
Eur J Nutr. 2019 Dec;58(8):3267-3278. doi: 10.1007/s00394-018-1870-3. Epub 2018 Dec 3.
9
Description and evaluation of an ultra-processed food consumption score for children.儿童超加工食品消费评分的描述与评估
Rev Saude Publica. 2025 Mar 31;59:e5. doi: 10.11606/s1518-8787.2025059005816. eCollection 2025.
10
Association of body image (dis)satisfaction and perception with food consumption according to the NOVA classification: Pró-Saúde Study.根据 NOVA 分类法,身体意象(不满意)与食物消费感知的关联:Pro-Saúde 研究。
Appetite. 2020 Jan 1;144:104464. doi: 10.1016/j.appet.2019.104464. Epub 2019 Sep 17.

引用本文的文献

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
Narrative Review of the Validity and Cross-Context Equivalence of Healthy Diet Metrics and Their Data Collection Methods for Global Monitoring.全球监测中健康饮食指标及其数据收集方法的有效性和跨背景等效性的叙述性综述
Curr Dev Nutr. 2025 Apr 6;9(5):107439. doi: 10.1016/j.cdnut.2025.107439. eCollection 2025 May.
3
A novel FFQ for Brazilian adults based on the Nova classification system: development, reproducibility and validation.
一种基于新分类系统的巴西成年人新型食物频率问卷:开发、重现性及验证
Public Health Nutr. 2025 Mar 27;28(1):e83. doi: 10.1017/S1368980025000412.