基于智能手机的饮食评估工具“Traqq”通过随机2小时回忆来评估成年人的习惯性饮食摄入量:与食物频率问卷和血液浓度生物标志物的比较

IF 3.7 3区 医学 Q2 NUTRITION & DIETETICS
Desiree A Lucassen , Elske M Brouwer-Brolsma , Hendriek C Boshuizen , Michiel Balvers , Edith JM Feskens
{"title":"基于智能手机的饮食评估工具“Traqq”通过随机2小时回忆来评估成年人的习惯性饮食摄入量:与食物频率问卷和血液浓度生物标志物的比较","authors":"Desiree A Lucassen ,&nbsp;Elske M Brouwer-Brolsma ,&nbsp;Hendriek C Boshuizen ,&nbsp;Michiel Balvers ,&nbsp;Edith JM Feskens","doi":"10.1016/j.tjnut.2024.12.002","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Current dietary assessment methods are affected by memory-related bias and heavily burden respondents. To reduce respondent burden and associated measurement error, we recently developed an innovative smartphone-based 2-h recall (2hR) method.</div></div><div><h3>Objectives</h3><div>Evaluation of the use of random 2hRs, administered via the smartphone-based dietary assessment tool “Traqq”, for assessing habitual intake against a validated food frequency questionnaire (FFQ) and blood concentration markers.</div></div><div><h3>Methods</h3><div>Dietary intake was assessed in 215 Dutch adults by repeated 2hRs on randomly selected days and times (i.e. equivalent to 3 full days of 2hRs) over a 4-wk period. At the end of the study period, participants completed a validated semiquantitative FFQ. Sixty-five random participants also provided 2 fasting blood samples, to assess plasma carotenoid and plasma n-3 polyunsaturated fatty acid (PUFA) concentrations.</div></div><div><h3>Results</h3><div>Intake estimates of energy (2132 ± 665 kcal vs. 2017 ± 572 kcal) were slightly higher with 2hRs than FFQ, whereas the percentage energy intake from macronutrients where similar (i.e. protein: 37 ± 14 en% vs. 37 ± 13 en%; fat: 35 ± 6 en% vs. 44 ± 7 en%; carbohydrates: 44 ± 7 en% vs. 44 ± 6 en%). For food groups, a larger variation in intake estimates was found ranging from –65% (legumes) to 62% (pastry, cake and biscuits). Spearman correlations between 2hRs and FFQ ranged from 0.33 to 0.69 for energy and macronutrients, from 0.32 to 0.58 for micronutrients, and from 0.27 to 0.67 for food groups. For all nutrients and food groups, ≥70% of the participants were classified in the same/adjacent quartile. Spearman correlations between 2hRs and plasma carotenoids and n-3 PUFA ranged between 0.34 and 0.57 and cross-classification ranged between 61% and 83% in the same/adjacent quartile.</div></div><div><h3>Conclusions</h3><div>Comparing 2hRs with FFQ and blood concentration markers showed good ranking ability for energy, most nutrients, and most frequently consumed foods. More variation was seen for episodically consumed foods and nutrients.</div></div><div><h3>Trial registration number</h3><div>This trial was registered at the Dutch Central Committee on Research Involving Human Subjects (CCMO) registry as ABR No. NL69065.081.19 (<span><span>https://www.toetsingonline.nl/to/ccmo_search.nsf/fABRpop?readform&amp;unids=26E81F6A56186B1EC12587BD001C7AC9</span><svg><path></path></svg></span>).</div></div>","PeriodicalId":16620,"journal":{"name":"Journal of Nutrition","volume":"155 2","pages":"Pages 634-642"},"PeriodicalIF":3.7000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of the Smartphone-Based Dietary Assessment tool “Traqq” for Assessing Habitual Dietary Intake by Random 2-H Recalls in Adults: Comparison with a Food Frequency Questionnaire and Blood Concentration Biomarkers\",\"authors\":\"Desiree A Lucassen ,&nbsp;Elske M Brouwer-Brolsma ,&nbsp;Hendriek C Boshuizen ,&nbsp;Michiel Balvers ,&nbsp;Edith JM Feskens\",\"doi\":\"10.1016/j.tjnut.2024.12.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Current dietary assessment methods are affected by memory-related bias and heavily burden respondents. To reduce respondent burden and associated measurement error, we recently developed an innovative smartphone-based 2-h recall (2hR) method.</div></div><div><h3>Objectives</h3><div>Evaluation of the use of random 2hRs, administered via the smartphone-based dietary assessment tool “Traqq”, for assessing habitual intake against a validated food frequency questionnaire (FFQ) and blood concentration markers.</div></div><div><h3>Methods</h3><div>Dietary intake was assessed in 215 Dutch adults by repeated 2hRs on randomly selected days and times (i.e. equivalent to 3 full days of 2hRs) over a 4-wk period. At the end of the study period, participants completed a validated semiquantitative FFQ. Sixty-five random participants also provided 2 fasting blood samples, to assess plasma carotenoid and plasma n-3 polyunsaturated fatty acid (PUFA) concentrations.</div></div><div><h3>Results</h3><div>Intake estimates of energy (2132 ± 665 kcal vs. 2017 ± 572 kcal) were slightly higher with 2hRs than FFQ, whereas the percentage energy intake from macronutrients where similar (i.e. protein: 37 ± 14 en% vs. 37 ± 13 en%; fat: 35 ± 6 en% vs. 44 ± 7 en%; carbohydrates: 44 ± 7 en% vs. 44 ± 6 en%). For food groups, a larger variation in intake estimates was found ranging from –65% (legumes) to 62% (pastry, cake and biscuits). Spearman correlations between 2hRs and FFQ ranged from 0.33 to 0.69 for energy and macronutrients, from 0.32 to 0.58 for micronutrients, and from 0.27 to 0.67 for food groups. For all nutrients and food groups, ≥70% of the participants were classified in the same/adjacent quartile. Spearman correlations between 2hRs and plasma carotenoids and n-3 PUFA ranged between 0.34 and 0.57 and cross-classification ranged between 61% and 83% in the same/adjacent quartile.</div></div><div><h3>Conclusions</h3><div>Comparing 2hRs with FFQ and blood concentration markers showed good ranking ability for energy, most nutrients, and most frequently consumed foods. More variation was seen for episodically consumed foods and nutrients.</div></div><div><h3>Trial registration number</h3><div>This trial was registered at the Dutch Central Committee on Research Involving Human Subjects (CCMO) registry as ABR No. NL69065.081.19 (<span><span>https://www.toetsingonline.nl/to/ccmo_search.nsf/fABRpop?readform&amp;unids=26E81F6A56186B1EC12587BD001C7AC9</span><svg><path></path></svg></span>).</div></div>\",\"PeriodicalId\":16620,\"journal\":{\"name\":\"Journal of Nutrition\",\"volume\":\"155 2\",\"pages\":\"Pages 634-642\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Nutrition\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022316624012288\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nutrition","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022316624012288","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0

摘要

背景:目前的饮食评估方法受到记忆相关偏差的影响,给被调查者带来了沉重的负担。为了减少被调查者的负担和相关的测量误差,我们最近开发了一种创新的基于智能手机的2小时召回(2hR)方法。目的:通过基于智能手机的饮食评估工具“Traqq”评估随机2hr的使用情况,以评估习惯性摄入量与经过验证的FFQ和血液浓度标记物之间的关系。方法:在四周的时间里,通过随机选择的日期和时间(即相当于整整三天的2小时)重复2小时的饮食摄入评估215名荷兰成年人。在研究期结束时,参与者完成了经过验证的半定量FFQ。65名随机参与者还提供了两份空腹血液样本,以评估血浆类胡萝卜素和血浆n-3 PUFA浓度。结果:两小时后的能量摄入估算值(2,132±665 kcal vs. 2,017±572 kcal)略高于FFQ,而从大量营养素中摄入的能量百分比相似(即蛋白质:37±14 % vs. 37±13 %;脂肪:35±6 % vs. 44±7 %;碳水化合物:44±7% vs. 44±6%)。对于食物组来说,摄入估计的差异更大,从-65%(豆类)到62%(糕点、蛋糕和饼干)不等。能量和宏量营养素组2hr与FFQ的Spearman相关性为0.33 ~ 0.69,微量营养素组0.32 ~ 0.58,食物组0.27 ~ 0.67。对于所有营养素和食物组,≥70%的参与者被归类为相同/相邻四分位数。2hRs与血浆类胡萝卜素和n-3 PUFA之间的Spearman相关性在0.34 ~ 0.57之间,交叉分类在相同/相邻四分位数之间为61% ~ 83%。结论:将2hRs与FFQ和血药浓度指标进行比较,对能量、大多数营养物质和最常食用的食物具有较好的排序能力。偶尔食用的食物和营养物质的变化更大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of the Smartphone-Based Dietary Assessment tool “Traqq” for Assessing Habitual Dietary Intake by Random 2-H Recalls in Adults: Comparison with a Food Frequency Questionnaire and Blood Concentration Biomarkers

Background

Current dietary assessment methods are affected by memory-related bias and heavily burden respondents. To reduce respondent burden and associated measurement error, we recently developed an innovative smartphone-based 2-h recall (2hR) method.

Objectives

Evaluation of the use of random 2hRs, administered via the smartphone-based dietary assessment tool “Traqq”, for assessing habitual intake against a validated food frequency questionnaire (FFQ) and blood concentration markers.

Methods

Dietary intake was assessed in 215 Dutch adults by repeated 2hRs on randomly selected days and times (i.e. equivalent to 3 full days of 2hRs) over a 4-wk period. At the end of the study period, participants completed a validated semiquantitative FFQ. Sixty-five random participants also provided 2 fasting blood samples, to assess plasma carotenoid and plasma n-3 polyunsaturated fatty acid (PUFA) concentrations.

Results

Intake estimates of energy (2132 ± 665 kcal vs. 2017 ± 572 kcal) were slightly higher with 2hRs than FFQ, whereas the percentage energy intake from macronutrients where similar (i.e. protein: 37 ± 14 en% vs. 37 ± 13 en%; fat: 35 ± 6 en% vs. 44 ± 7 en%; carbohydrates: 44 ± 7 en% vs. 44 ± 6 en%). For food groups, a larger variation in intake estimates was found ranging from –65% (legumes) to 62% (pastry, cake and biscuits). Spearman correlations between 2hRs and FFQ ranged from 0.33 to 0.69 for energy and macronutrients, from 0.32 to 0.58 for micronutrients, and from 0.27 to 0.67 for food groups. For all nutrients and food groups, ≥70% of the participants were classified in the same/adjacent quartile. Spearman correlations between 2hRs and plasma carotenoids and n-3 PUFA ranged between 0.34 and 0.57 and cross-classification ranged between 61% and 83% in the same/adjacent quartile.

Conclusions

Comparing 2hRs with FFQ and blood concentration markers showed good ranking ability for energy, most nutrients, and most frequently consumed foods. More variation was seen for episodically consumed foods and nutrients.

Trial registration number

This trial was registered at the Dutch Central Committee on Research Involving Human Subjects (CCMO) registry as ABR No. NL69065.081.19 (https://www.toetsingonline.nl/to/ccmo_search.nsf/fABRpop?readform&unids=26E81F6A56186B1EC12587BD001C7AC9).
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Nutrition
Journal of Nutrition 医学-营养学
CiteScore
7.60
自引率
4.80%
发文量
260
审稿时长
39 days
期刊介绍: The Journal of Nutrition (JN/J Nutr) publishes peer-reviewed original research papers covering all aspects of experimental nutrition in humans and other animal species; special articles such as reviews and biographies of prominent nutrition scientists; and issues, opinions, and commentaries on controversial issues in nutrition. Supplements are frequently published to provide extended discussion of topics of special interest.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信