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基于模式识别的膳食评估:一项比较分析。

Dietary Assessment by Pattern Recognition: a Comparative Analysis.

作者信息

Bernstein Adam M, Rhee Lauren Q, Njike Valentine Y, Katz David L

机构信息

Diet ID, Inc., Detroit, MI, USA.

Yale-Griffin Prevention Research Center, Griffin Hospital, Derby, CT, USA.

出版信息

Curr Dev Nutr. 2023 Sep 11;7(10):101999. doi: 10.1016/j.cdnut.2023.101999. eCollection 2023 Oct.

Abstract

BACKGROUND

Diet quality photo navigation (DQPN) is a novel dietary intake assessment tool that was developed to help address limitations of traditional tools and to easily integrate into health care delivery systems. Prevailing practice is to validate new tools against approaches that are in wide use.

OBJECTIVE

This study aimed to assess ) the validity of Diet ID in measuring diet quality, food group and nutrient intake against 2 traditional dietary assessment methods (i.e., food record [FR], food frequency questionnaire) and ) the test reproducibility/reliability of Diet ID to obtain similar results with repeat assessments.

METHODS

Using a participant-sourcing platform for online research, we recruited 90 participants, 58 of whom completed DQPN, a 3-d FR (via the Automated Self-Administered 24-hour Dietary Assessment Tool), and a food frequency questionnaire (FFQ, via the Dietary History Questionnaire III). We estimated mean nutrient and food group intake with all 3 instruments and generated Pearson correlations between them.

RESULTS

Mean age (SD) of participants was 38 (11) y, and more than half were male (64%). The strongest correlations for DQPN when compared with the other 2 instruments were for diet quality, as measured by the Healthy Eating Index 2015; between DQPN and the FFQ, the correlation was 0.58 ( < 0.001), and between DQPN and the FR, the correlation was 0.56 ( < 0.001). Selected nutrients and food groups also showed moderate strength correlations. Test-retest reproducibility for measuring diet quality was evaluated for DQPN and showed a correlation of 0.70 ( < 0.0001).

CONCLUSIONS

The current study offers evidence that DQPN is comparable to traditional dietary assessment tools for estimating overall diet quality. This performance, plus DQPN's ease-of-use and scalability, may recommend it in efforts to make dietary assessment a universal part of clinical care.

摘要

背景

饮食质量照片导航(DQPN)是一种新型的饮食摄入量评估工具,旨在解决传统工具的局限性,并易于整合到医疗保健系统中。目前的做法是将新工具与广泛使用的方法进行验证。

目的

本研究旨在评估:(1)Diet ID在测量饮食质量、食物组和营养素摄入量方面相对于两种传统饮食评估方法(即食物记录[FR]、食物频率问卷)的有效性;(2)Diet ID在重复评估时获得相似结果的测试可重复性/可靠性。

方法

我们使用一个在线研究的参与者招募平台,招募了90名参与者,其中58人完成了DQPN、为期3天的FR(通过自动自我管理的24小时饮食评估工具)和食物频率问卷(FFQ,通过饮食历史问卷III)。我们用这三种工具估计了平均营养素和食物组摄入量,并计算了它们之间的Pearson相关性。

结果

参与者的平均年龄(标准差)为38(11)岁,超过一半为男性(64%)。与其他两种工具相比,DQPN在饮食质量方面的相关性最强,饮食质量由2015年健康饮食指数衡量;在DQPN和FFQ之间,相关性为0.58(P<0.001),在DQPN和FR之间,相关性为0.56(P<0.001)。选定的营养素和食物组也显示出中等强度的相关性。对DQPN测量饮食质量的重测可重复性进行了评估,相关性为0.70(P<0.0001)。

结论

当前研究提供了证据表明,DQPN在估计总体饮食质量方面与传统饮食评估工具相当。这种性能,加上DQPN的易用性和可扩展性,可能使其在将饮食评估作为临床护理普遍组成部分的努力中具有优势。

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本文引用的文献

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Healthy Eating Index-2020: Review and Update Process to Reflect the Dietary Guidelines for Americans,2020-2025.
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The White House Conference on Hunger, Nutrition and Health is an opportunity for transformational change.
Nat Food. 2022;3(8):561-563. doi: 10.1038/s43016-022-00568-x. Epub 2022 Aug 8.
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Comparison of the Diet ID Platform to the Automated Self-administered 24-hour (ASA24) Dietary Assessment Tool for Assessment of Dietary Intake.
J Am Nutr Assoc. 2022 May-Jun;41(4):360-382. doi: 10.1080/07315724.2021.1887775. Epub 2021 Mar 11.
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