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3
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Food Nutr Res. 2017 Apr 11;61(1):1311185. doi: 10.1080/16546628.2017.1311185. eCollection 2017.
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Validation of a Dish-Based Semiquantitative Food Questionnaire in Rural Bangladesh.孟加拉国农村地区一份基于餐盘的半定量食物问卷的验证
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Nutritional composition and antioxidant properties of traditional Italian dishes.传统意大利菜的营养成分和抗氧化特性。
Food Chem. 2017 Mar 1;218:70-77. doi: 10.1016/j.foodchem.2016.08.120. Epub 2016 Aug 31.
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Development and Evaluation of a Web-based Computer-Assisted Personal Interview System (CAPIS) for Open-ended Dietary Assessments among Koreans.基于网络的计算机辅助个人访谈系统(CAPIS)用于韩国人开放式饮食评估的开发与评估
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开发并模拟验证了一个用于估计日本食物组和营养素摄入量的碟片成分数据库。

Development and simulated validation of a dish composition database for estimating food group and nutrient intakes in Japan.

机构信息

Department of Social and Preventive Epidemiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.

Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo, Japan.

出版信息

Public Health Nutr. 2019 Sep;22(13):2367-2380. doi: 10.1017/S1368980019000600. Epub 2019 May 16.

DOI:10.1017/S1368980019000600
PMID:31092299
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10260419/
Abstract

OBJECTIVE

To develop a dish composition database (DCD) and assess its ability to estimate dietary intake.

DESIGN

The DCD was developed based on 16 d dietary records (DR). We aggregated all reported dishes into 128 dish codes and calculated mean food group and nutrient contents for each code. These data were used to calculate dietary intake in a different population that completed a 4 d DR. The estimated values were compared with those estimated using the standard food composition database (FCD) of Japan.

SETTING

Japan.

PARTICIPANTS

A total 252 adults aged 31-81 years for the 16 d DR (3941 d in total) and 392 adults aged 20-69 years for the 4 d DR (1568 d in total) participated.

RESULTS

There were significant differences in median intakes between the DCD and the FCD for eighteen and twenty (of twenty-six) food groups and for twenty-nine and twenty-two (of forty-three) nutrients (including energy) in men and women, respectively. For food group intakes, Spearman correlation coefficients between the DCD and FCD ranged from 0·19 (animal fats) to 0·90 (fruits and alcoholic beverages) in men (median: 0·61) and from 0·25 (oils) to 0·89 (noodles) in women (median: 0·58). For nutrient intakes, the corresponding values ranged from 0·25 (retinol) to 0·90 (alcohol) in men (median: 0·60) and from 0·15 (retinol) to 0·74 (alcohol) in women (median: 0·53).

CONCLUSIONS

Whereas it is difficult to accurately estimate absolute dietary intake values using the present DCD, it has acceptable ability to rank the intakes of many food groups and nutrients.

摘要

目的

开发一道菜成分数据库(DCD)并评估其估计饮食摄入量的能力。

设计

DCD 是基于 16 天的饮食记录(DR)开发的。我们将所有报告的菜肴汇总到 128 个菜肴代码中,并为每个代码计算食物组和营养素的平均值。这些数据用于计算不同人群的饮食摄入量,这些人完成了 4 天的 DR。估计值与使用日本标准食物成分数据库(FCD)估计的值进行了比较。

地点

日本。

参与者

16 天 DR 共 252 名年龄 31-81 岁的成年人(总共有 3941 天)和 4 天 DR 共 392 名年龄 20-69 岁的成年人(总共有 1568 天)参与了研究。

结果

男性和女性中,DCD 和 FCD 之间有 18 个和 20 个(26 个中的 20 个)食物组和 29 个和 22 个(43 个中的 22 个)营养素(包括能量)的中位数摄入量存在显著差异。对于食物组摄入量,DCD 和 FCD 之间的 Spearman 相关系数在男性中范围从 0.19(动物脂肪)到 0.90(水果和酒精饮料)(中位数:0.61),在女性中从 0.25(油)到 0.89(面条)(中位数:0.58)。对于营养素摄入量,相应的值在男性中从 0.25(视黄醇)到 0.90(酒精)(中位数:0.60),在女性中从 0.15(视黄醇)到 0.74(酒精)(中位数:0.53)。

结论

尽管目前的 DCD 很难准确估计绝对饮食摄入量值,但它具有可接受的能力来对许多食物组和营养素的摄入量进行排名。