基于食物类别的算法在评估坦桑尼亚农村地区妇女膳食营养摄入量方面的潜力和局限性

IF 3.5 2区农林科学 Q2 FOOD SCIENCE & TECHNOLOGY

International Journal of Food Sciences and Nutrition Pub Date : 2024-04-19 DOI:10.1080/09637486.2024.2335523

Laila Eleraky, Wolfgang Stuetz, Constance Rybak, Jan Frank, Hans Konrad Biesalski, Hadijah Mbwana, Joyce Kinabo, Christine Lambert

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引用次数: 0

摘要

这项研究的目的是评估以食物组为基础的算法 "微量营养素摄入不足计算器"（CIMI）评估营养素摄入量的准确性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Potentials and limitations of a food group-based algorithm to assess dietary nutrient intake of women in rural areas in Tanzania

The aim of this study was to evaluate the accuracy of nutrient intake assessment with the food group-based algorithm “Calculator of Inadequate Micronutrient Intake” (CIMI) in comparison to the esta...

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来源期刊

International Journal of Food Sciences and Nutrition 工程技术-食品科技

CiteScore

7.50

自引率

2.60%

发文量

审稿时长

1 months

期刊介绍： The primary aim of International Journal of Food Sciences and Nutrition is to integrate food science with nutrition. Improvement of knowledge in human nutrition should always be the final objective of submitted research. It''s an international, peer-reviewed journal which publishes high quality, original research contributions to scientific knowledge. All manuscript submissions are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees. All peer review is single blind and submission is online via ScholarOne Manuscripts.