• 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

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。

A novel web-based 24-h dietary recall tool in line with the Nova food processing classification: description and evaluation.

机构信息

Center for Epidemiological Studies in Health and Nutrition, University of Sao Paulo (Nupens/USP), Sao Paulo, Brazil.

Department of Nutrition, School of Public Health, University of São Paulo, Sao Paulo, Brazil.

出版信息

Public Health Nutr. 2023 Oct;26(10):1997-2004. doi: 10.1017/S1368980023001623. Epub 2023 Aug 7.

DOI:10.1017/S1368980023001623
PMID:37548217
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10564608/
Abstract

OBJECTIVE

This paper describes the first web-based self-completed 24-h recall designed to categorise food intake according to Nova groups - Nova24h - and its agreement with a reference tool in estimating the dietary relative contribution of the four Nova food groups (% of total energy intake).

DESIGN

Comparisons of estimates of dietary relative contributions of Nova groups obtained by Nova24h and one standard interviewer-led 24-h recall.

SETTING

Nationwide adult cohort study in Brazil.

PARTICIPANTS

The subjects were 186 participants of the NutriNet Brasil Cohort Study ( 186).

RESULTS

No statistically significant differences were observed between the Nova24h and the reference tool mean contributions of unprocessed or minimally processed foods (52·3 % . 52·6 %), processed culinary ingredients (11·6 % . 11·9 %), processed foods (17·1 % . 14·7 %) and ultra-processed foods (19·0 % . 20·9 %). Intraclass correlation coefficients between individual estimates obtained for each Nova group showed moderate to good agreement (0·54-0·78). Substantial or almost perfect agreement between the tools was seen regarding the ability to rank participants according to quintiles of contribution of each Nova group (PABAK 0·69-0·81).

CONCLUSIONS

Nova24h is a suitable tool for estimating the dietary relative energy contribution of Nova food groups in the NutriNet Brasil cohort. New studies are necessary to verify its adequacy in other populations.

摘要

目的

本文介绍了首个基于网络的自我完成 24 小时回忆,旨在根据 Nova 组对食物摄入进行分类——Nova24h——并评估其与参考工具在估计四种 Nova 食物组(占总能量摄入的百分比)的膳食相对贡献的一致性。

设计

比较 Nova24h 和一个标准访谈者主导的 24 小时回忆估计 Nova 组膳食相对贡献的结果。

地点

巴西全国成人队列研究。

参与者

NutriNet Brasil 队列研究的 186 名参与者(186 人)。

结果

Nova24h 和参考工具对未加工或最低限度加工食品(52.3%,52.6%)、加工烹饪原料(11.6%,11.9%)、加工食品(17.1%,14.7%)和超加工食品(19.0%,20.9%)的平均贡献没有统计学差异。每个 Nova 组个体估计值之间的组内相关系数显示出中等至良好的一致性(0.54-0.78)。两种工具在根据每个 Nova 组的贡献五分位数对参与者进行排序的能力方面具有高度或几乎完全一致(PABAK 0.69-0.81)。

结论

Nova24h 是一种适合在 NutriNet Brasil 队列中估计 Nova 食物组膳食相对能量贡献的工具。需要进一步的研究来验证其在其他人群中的适用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f593/10564608/7c47b2a4478f/S1368980023001623_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f593/10564608/7c47b2a4478f/S1368980023001623_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f593/10564608/7c47b2a4478f/S1368980023001623_fig1.jpg

相似文献

1
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.
2
Identifying and Estimating Ultraprocessed Food Intake in the US NHANES According to the Nova Classification System of Food Processing.根据食品加工新分类系统,确定并估计美国 NHANES 中超高加工食品的摄入量。
J Nutr. 2023 Jan;153(1):225-241. doi: 10.1016/j.tjnut.2022.09.001. Epub 2022 Dec 15.
3
The degree of food processing contributes to sugar intakes in families with preschool-aged children.食物加工的程度影响有学龄前儿童的家庭的糖摄入量。
Clin Nutr ESPEN. 2024 Feb;59:37-47. doi: 10.1016/j.clnesp.2023.11.010. Epub 2023 Nov 24.
4
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.
5
A Semi-quantitative Food Frequency Questionnaire Has Relative Validity to Identify Groups of NOVA Food Classification System Among Mexican Adults.一份半定量食物频率问卷在识别墨西哥成年人中诺瓦食物分类系统的组别方面具有相对效度。
Front Nutr. 2022 Feb 3;9:737432. doi: 10.3389/fnut.2022.737432. eCollection 2022.
6
NOVA food groups' consumption associated with nutrient intake profile of school children aged 8-12 years.NOVA 食品组的消费与 8-12 岁学龄儿童的营养摄入状况有关。
Public Health Nutr. 2023 Jan;26(1):56-62. doi: 10.1017/S1368980022000441. Epub 2022 Feb 21.
7
Energy contribution of NOVA food groups and sociodemographic determinants of ultra-processed food consumption in the Mexican population.NOVA 食品组的能量贡献及墨西哥人口中超加工食品消费的社会人口学决定因素。
Public Health Nutr. 2018 Jan;21(1):87-93. doi: 10.1017/S1368980017002129. Epub 2017 Sep 22.
8
Ultra-processed foods and recommended intake levels of nutrients linked to non-communicable diseases in Australia: evidence from a nationally representative cross-sectional study.超加工食品与澳大利亚非传染性疾病相关营养物质建议摄入量的关联:一项全国代表性横断面研究的证据。
BMJ Open. 2019 Aug 28;9(8):e029544. doi: 10.1136/bmjopen-2019-029544.
9
Relative Validity of a Semi-Quantitative Food Frequency Questionnaire to Estimate Dietary Intake According to the NOVA Classification in Mexican Children and Adolescents.半定量食物频率问卷评估墨西哥儿童和青少年新型食物分类法饮食摄入的相对有效性。
J Acad Nutr Diet. 2022 Jun;122(6):1129-1140. doi: 10.1016/j.jand.2021.11.002. Epub 2021 Nov 9.
10
Reliability and validity of assigning ultraprocessed food categories to 24-h dietary recall data.超加工食品类别分配给 24 小时膳食回忆数据的可靠性和有效性。
Am J Clin Nutr. 2023 Jan;117(1):182-190. doi: 10.1016/j.ajcnut.2022.10.016. Epub 2022 Dec 19.

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
The role of ultra-processed food in obesity.超加工食品在肥胖症中的作用。
Nat Rev Endocrinol. 2025 Jul 14. doi: 10.1038/s41574-025-01143-7.
3
Application of the Nova food classification to the 2017-2018 Household Budget Survey: monitoring adherence to the recommendations of the Dietary Guidelines for the Brazilian Population.

本文引用的文献

1
Does the concept of "ultra-processed foods" help inform dietary guidelines, beyond conventional classification systems? Debate consensus.“超加工食品”的概念是否有助于指导饮食,超越传统的分类系统?存在争议。
Am J Clin Nutr. 2022 Dec 19;116(6):1489-1491. doi: 10.1093/ajcn/nqac230.
2
Ultra-processed foods and human health: from epidemiological evidence to mechanistic insights.超加工食品与人类健康:从流行病学证据到机制见解。
Lancet Gastroenterol Hepatol. 2022 Dec;7(12):1128-1140. doi: 10.1016/S2468-1253(22)00169-8. Epub 2022 Aug 8.
3
Ultra-processed Foods Consumption Increases the Risk of Hypertension in Adults: A Systematic Review and Meta-analysis.
将诺瓦食物分类应用于2017 - 2018年家庭预算调查:监测对巴西人口膳食指南建议的遵循情况。
Epidemiol Serv Saude. 2025 May 12;34:e20240369. doi: 10.1590/S2237-96222025v34e20240369.en. eCollection 2025.
4
Adaptation and validation of a tool for assessing food knowledge based on the Nova classification for the Brazilian context.基于新食物分类法的巴西食物知识评估工具的改编与验证
Epidemiol Serv Saude. 2025 May 2;34:e20240335. doi: 10.1590/S2237-96222024v34e20240335.en. eCollection 2025.
5
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.
6
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.
7
Plasma and breast milk adipokines in women across the first year postpartum and their association with maternal depressive symptoms and infant neurodevelopment: Protocol for the APPLE prospective cohort study.血浆和哺乳期妇女乳中脂肪因子在产后第一年的变化及其与产妇抑郁症状和婴儿神经发育的关系:APPLE 前瞻性队列研究方案。
PLoS One. 2024 Oct 25;19(10):e0310847. doi: 10.1371/journal.pone.0310847. eCollection 2024.
8
Ultra-Processed Foods: A Narrative Review of the Impact on the Human Gut Microbiome and Variations in Classification Methods.超加工食品:对人类肠道微生物组影响的叙述性综述及分类方法的差异。
Nutrients. 2024 Jun 1;16(11):1738. doi: 10.3390/nu16111738.
9
Use of Digital Tools for the Assessment of Food Consumption in Brazil: A Scoping Review.利用数字工具评估巴西的食物消费情况:范围综述。
Nutrients. 2024 May 6;16(9):1399. doi: 10.3390/nu16091399.
10
Ultra-processed Food and Obesity: What Is the Evidence?超加工食品与肥胖:有何证据?
Curr Nutr Rep. 2024 Mar;13(1):23-38. doi: 10.1007/s13668-024-00517-z. Epub 2024 Jan 31.
超加工食品摄入增加成年人患高血压的风险:系统评价和荟萃分析。
Am J Hypertens. 2022 Oct 3;35(10):892-901. doi: 10.1093/ajh/hpac069.
4
Ultra-Processed Food Consumption and Adult Mortality Risk: A Systematic Review and Dose-Response Meta-Analysis of 207,291 Participants.超加工食品消费与成年人死亡风险:207291 名参与者的系统评价和剂量反应荟萃分析。
Nutrients. 2021 Dec 30;14(1):174. doi: 10.3390/nu14010174.
5
Ultra-processed food and risk of type 2 diabetes: a systematic review and meta-analysis of longitudinal studies.超加工食品与 2 型糖尿病风险:纵向研究的系统评价和荟萃分析。
Int J Epidemiol. 2022 Aug 10;51(4):1120-1141. doi: 10.1093/ije/dyab247.
6
Categorising ultra-processed foods in large-scale cohort studies: evidence from the Nurses' Health Studies, the Health Professionals Follow-up Study, and the Growing Up Today Study.在大规模队列研究中对超加工食品进行分类:来自护士健康研究、健康专业人员随访研究和今日成长研究的证据。
J Nutr Sci. 2021 Sep 16;10:e77. doi: 10.1017/jns.2021.72. eCollection 2021.
7
Reproducibility and validity of a food-frequency questionnaire (NFFQ) to assess food consumption based on the NOVA classification in adults.基于 NOVA 分类法评估成年人食物消费的食物频数问卷(NFFQ)的可重复性和有效性。
Int J Food Sci Nutr. 2021 Sep;72(6):861-869. doi: 10.1080/09637486.2021.1880552. Epub 2021 Feb 8.
8
Ultra-Processed Diets Cause Excess Calorie Intake and Weight Gain: An Inpatient Randomized Controlled Trial of Ad Libitum Food Intake.超加工食品饮食导致热量摄入过多和体重增加:一项关于随意进食的住院随机对照试验。
Cell Metab. 2020 Oct 6;32(4):690. doi: 10.1016/j.cmet.2020.08.014.
9
Dietary changes in the NutriNet Brasil cohort during the covid-19 pandemic.NutriNet Brasil 队列在新冠疫情期间的饮食变化。
Rev Saude Publica. 2020 Sep 4;54:91. doi: 10.11606/s1518-8787.2020054002950.
10
Consumption of ultra-processed foods and health status: a systematic review and meta-analysis.食用超加工食品与健康状况:系统评价和荟萃分析。
Br J Nutr. 2021 Feb 14;125(3):308-318. doi: 10.1017/S0007114520002688. Epub 2020 Aug 14.