• 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

相似文献

1
The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire.用于膳食摄入量评估的电子流行病学手机应用程序:与食物频率问卷的比较。
JMIR Res Protoc. 2016 Nov 2;5(4):e208. doi: 10.2196/resprot.5782.
2
Is there any alternative to traditional food frequency questionnaire for evaluating habitual dietary intake?在评估习惯性饮食摄入量方面,是否有传统食物频率问卷的替代方法?
Nutr Hosp. 2017 Jul 28;34(4):990-888. doi: 10.20960/nh.650.
3
Electronic 12-Hour Dietary Recall (e-12HR): Comparison of a Mobile Phone App for Dietary Intake Assessment With a Food Frequency Questionnaire and Four Dietary Records.电子12小时膳食回顾(e-12HR):用于膳食摄入量评估的手机应用程序与食物频率问卷及四份膳食记录的比较
JMIR Mhealth Uhealth. 2018 Jun 15;6(6):e10409. doi: 10.2196/10409.
4
Relative Validity of a Method Based on a Smartphone App (Electronic 12-Hour Dietary Recall) to Estimate Habitual Dietary Intake in Adults.基于智能手机应用程序(电子 12 小时膳食回忆)的方法估计成年人习惯性膳食摄入量的相对有效性。
JMIR Mhealth Uhealth. 2019 Apr 11;7(4):e11531. doi: 10.2196/11531.
5
First evaluation steps of a new method for dietary intake estimation regarding a list of key food groups in adults and in different sociodemographic and health-related behaviour strata.新方法在成年人和不同社会人口学及健康相关行为阶层中针对关键食物组列表进行膳食摄入量估计的初步评估步骤。
Public Health Nutr. 2017 Oct;20(15):2660-2669. doi: 10.1017/S1368980017001641. Epub 2017 Aug 9.
6
Web-Based Dietary Intake Estimation to Assess the Reproducibility and Relative Validity of the EatWellQ8 Food Frequency Questionnaire: Validation Study.基于网络的膳食摄入量估计,以评估EatWellQ8食物频率问卷的可重复性和相对有效性:验证研究。
JMIR Form Res. 2021 Mar 2;5(3):e13591. doi: 10.2196/13591.
7
Usual Dietary Intake Estimation Based on a Combination of Repeated 24-H Food Lists and a Food Frequency Questionnaire in the KORA FF4 Cross-Sectional Study.在KORA FF4横断面研究中,基于重复的24小时食物清单和食物频率问卷相结合的方式进行常规饮食摄入量估计。
Front Nutr. 2019 Sep 6;6:145. doi: 10.3389/fnut.2019.00145. eCollection 2019.
8
A Mobile Phone App for Dietary Intake Assessment in Adolescents: An Evaluation Study.手机应用程序评估青少年饮食摄入:一项评估研究。
JMIR Mhealth Uhealth. 2015 Nov 3;3(4):e93. doi: 10.2196/mhealth.4804.
9
Development and validation of a quantitative food frequency questionnaire to assess dietary intake among Lebanese adults.开发和验证一种用于评估黎巴嫩成年人饮食摄入的定量食物频率问卷。
Nutr J. 2020 Jul 6;19(1):65. doi: 10.1186/s12937-020-00581-5.
10
Digital Food Frequency Questionnaire Assessing Adherence to the Norwegian Food-Based Dietary Guidelines and Other National Lifestyle Recommendations: Instrument Validation Study.数字食物频率问卷评估对挪威基于食物的膳食指南和其他国家生活方式建议的依从性:仪器验证研究。
J Med Internet Res. 2024 Apr 30;26:e53442. doi: 10.2196/53442.

引用本文的文献

1
Short-Term Effect of a Health Promotion Intervention Based on the Electronic 12-Hour Dietary Recall (e-12HR) Smartphone App on Adherence to the Mediterranean Diet Among Spanish Primary Care Professionals: Randomized Controlled Clinical Trial.基于电子 12 小时膳食回顾(e-12HR)智能手机应用程序的健康促进干预对西班牙初级保健专业人员遵守地中海饮食的短期效果:随机对照临床试验。
JMIR Mhealth Uhealth. 2024 Jan 8;12:e49302. doi: 10.2196/49302.
2
Dietary Habits of Elite Soccer Players: Variations According to Competitive Level, Playing Position and Sex.精英足球运动员的饮食习惯:根据竞技水平、场上位置和性别而有所不同。
Nutrients. 2023 Oct 10;15(20):4323. doi: 10.3390/nu15204323.
3
Effectiveness of a Smartphone App (e-12HR) in Improving Adherence to the Mediterranean Diet in Spanish University Students by Age, Gender, Field of Study, and Body Mass Index: A Randomized Controlled Trial.智能手机应用程序(e-12HR)对改善西班牙大学生地中海饮食依从性的效果:按年龄、性别、学科和体重指数分层的随机对照试验。
Nutrients. 2023 Mar 30;15(7):1688. doi: 10.3390/nu15071688.
4
Evaluation of an Application for Mobile Telephones (e-12HR) to Increase Adherence to the Mediterranean Diet in University Students: A Controlled, Randomized and Multicentric Study.应用于移动电话(e-12HR)提高大学生地中海饮食依从性的评估:一项对照、随机、多中心研究。
Nutrients. 2022 Oct 8;14(19):4196. doi: 10.3390/nu14194196.
5
Weekend-Weekday Differences in Adherence to the Mediterranean Diet among Spanish University Students.周末-工作日西班牙大学生对地中海饮食的坚持差异。
Nutrients. 2022 Jul 8;14(14):2811. doi: 10.3390/nu14142811.
6
[Analysis of eating habits among the main health care agents in health promotion (physicians and nurses) of emergency services in times of COVID-19].[新冠疫情期间急诊服务机构中主要健康促进医疗人员(医生和护士)的饮食习惯分析]
Semergen. 2022 Apr;48(3):154-162. doi: 10.1016/j.semerg.2021.07.001. Epub 2021 Jul 28.
7
The Human Factor in Automated Image-Based Nutrition Apps: Analysis of Common Mistakes Using the goFOOD Lite App.基于图像的自动化营养应用程序中的人为因素:使用 goFOOD Lite 应用程序分析常见错误
JMIR Mhealth Uhealth. 2021 Jan 13;9(1):e24467. doi: 10.2196/24467.
8
Nutritional Risk Screening and Assessment.营养风险筛查与评估
J Clin Med. 2019 Jul 20;8(7):1065. doi: 10.3390/jcm8071065.
9
Relative Validity of a Method Based on a Smartphone App (Electronic 12-Hour Dietary Recall) to Estimate Habitual Dietary Intake in Adults.基于智能手机应用程序(电子 12 小时膳食回忆)的方法估计成年人习惯性膳食摄入量的相对有效性。
JMIR Mhealth Uhealth. 2019 Apr 11;7(4):e11531. doi: 10.2196/11531.
10
Measuring Caloric Intake at the Population Level (NOTION): Protocol for an Experimental Study.在人群层面测量热量摄入(NOTION):一项实验研究的方案
JMIR Res Protoc. 2019 Mar 12;8(3):e12116. doi: 10.2196/12116.

本文引用的文献

1
The relationship between interviewer-respondent race match and reporting of energy intake using food frequency questionnaires in the rural South United States.美国南部农村地区访谈者与受访者种族匹配情况与使用食物频率问卷报告能量摄入之间的关系。
Prev Med Rep. 2015 Jun 10;2:533-7. doi: 10.1016/j.pmedr.2015.06.002. eCollection 2015.
2
A Mobile Phone App for Dietary Intake Assessment in Adolescents: An Evaluation Study.手机应用程序评估青少年饮食摄入:一项评估研究。
JMIR Mhealth Uhealth. 2015 Nov 3;3(4):e93. doi: 10.2196/mhealth.4804.
3
Electronic Dietary Intake Assessment (e-DIA): Comparison of a Mobile Phone Digital Entry App for Dietary Data Collection With 24-Hour Dietary Recalls.电子饮食摄入评估(e-DIA):手机数字录入应用程序与 24 小时膳食回顾用于膳食数据收集的比较。
JMIR Mhealth Uhealth. 2015 Oct 27;3(4):e98. doi: 10.2196/mhealth.4613.
4
Elevated BMI and Male Sex Are Associated with Greater Underreporting of Caloric Intake as Assessed by Doubly Labeled Water.通过双标水法评估发现,体重指数(BMI)升高和男性与热量摄入报告不足较多有关。
J Nutr. 2015 Oct;145(10):2412-8. doi: 10.3945/jn.115.216366. Epub 2015 Sep 2.
5
A new mobile phone-based tool for assessing energy and certain food intakes in young children: a validation study.一种新的基于手机的工具,用于评估幼儿的能量和某些食物摄入量:验证研究。
JMIR Mhealth Uhealth. 2015 Apr 24;3(2):e38. doi: 10.2196/mhealth.3670.
6
Usability of a smartphone food picture app for assisting 24-hour dietary recall: a pilot study.智能手机食物图片应用辅助 24 小时膳食回忆的可用性:一项初步研究。
Nutr Res Pract. 2015 Apr;9(2):207-12. doi: 10.4162/nrp.2015.9.2.207. Epub 2014 Dec 12.
7
A mobile phone food record app to digitally capture dietary intake for adolescents in a free-living environment: usability study.一款用于在自由生活环境中数字化捕捉青少年饮食摄入的手机食物记录应用程序:可用性研究。
JMIR Mhealth Uhealth. 2015 Mar 13;3(1):e30. doi: 10.2196/mhealth.3324.
8
Energy balance measurement: when something is not better than nothing.能量平衡测量:聊胜于无。
Int J Obes (Lond). 2015 Jul;39(7):1109-13. doi: 10.1038/ijo.2014.199. Epub 2014 Nov 13.
9
Online dietary intake estimation: reproducibility and validity of the Food4Me food frequency questionnaire against a 4-day weighed food record.在线膳食摄入量估计:Food4Me食物频率问卷相对于4天称重食物记录的可重复性和有效性。
J Med Internet Res. 2014 Aug 11;16(8):e190. doi: 10.2196/jmir.3355.
10
Online dietary intake estimation: the Food4Me food frequency questionnaire.在线膳食摄入量评估:Food4Me食物频率问卷
J Med Internet Res. 2014 Jun 9;16(6):e150. doi: 10.2196/jmir.3105.

用于膳食摄入量评估的电子流行病学手机应用程序:与食物频率问卷的比较。

The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire.

作者信息

Bejar Luis Maria, Sharp Brett Northrop, García-Perea María Dolores

机构信息

Department of Preventive Medicine and Public Health, University of Seville, Seville, Spain.

Virgen Rocio University Hospital, Seville, Spain.

出版信息

JMIR Res Protoc. 2016 Nov 2;5(4):e208. doi: 10.2196/resprot.5782.

DOI:10.2196/resprot.5782
PMID:27806922
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5112366/
Abstract

BACKGROUND

There is a great necessity for new methods of evaluation of dietary intake that overcome the limitations of traditional self-reporting methods.

OBJECTIVE

The objective of this study was to develop a new method, based on an app for mobile phones called e-EPIDEMIOLOGY, which was designed to collect individual consumption data for a series of foods/drinks, and to compare this app with a previously validated paper food frequency questionnaire (FFQ).

METHODS

University students >18 years of age recorded the consumption of certain foods/drinks using e-EPIDEMIOLOGY during 28 consecutive days and then filled out a paper FFQ at the end of the study period. To evaluate the agreement between the categories of habitual consumption for each of the foods/drinks included in the study, cross-classification analysis and a weighted kappa statistic were used.

RESULTS

A total of 119 participants completed the study (71% female, 85/119; 29% male, 34/119). Cross-classification analysis showed that 79.8% of the participants were correctly classified into the same category and just 1.1% were misclassified into opposite categories. The average weighted kappa statistic was good (κ=.64).

CONCLUSIONS

The results indicate that e-EPIDEMIOLOGY generated ranks of dietary intakes that were highly comparable with the previously validated paper FFQ. However, it was noted that further testing of e-EPIDEMIOLOGY is required to establish its wider utility.

摘要

背景

迫切需要新的饮食摄入量评估方法,以克服传统自我报告方法的局限性。

目的

本研究的目的是基于一款名为e-EPIDEMIOLOGY的手机应用程序开发一种新方法,该应用程序旨在收集一系列食物/饮料的个人消费数据,并将该应用程序与先前经过验证的纸质食物频率问卷(FFQ)进行比较。

方法

18岁以上的大学生连续28天使用e-EPIDEMIOLOGY记录某些食物/饮料的消费情况,然后在研究期结束时填写一份纸质FFQ。为了评估研究中包含的每种食物/饮料的习惯性消费类别之间的一致性,使用了交叉分类分析和加权kappa统计量。

结果

共有119名参与者完成了研究(71%为女性,85/119;29%为男性,34/119)。交叉分类分析表明,79.8%的参与者被正确分类到同一类别,只有1.1%的参与者被错误分类到相反类别。平均加权kappa统计量良好(κ = 0.64)。

结论

结果表明,e-EPIDEMIOLOGY生成的饮食摄入量排名与先前经过验证的纸质FFQ具有高度可比性。然而,需要注意的是,需要对e-EPIDEMIOLOGY进行进一步测试,以确定其更广泛的实用性。