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A national FFQ for the Netherlands (the FFQ-NL 1.0): validation of a comprehensive FFQ for adults.荷兰的一份全国性食物频率问卷(FFQ-NL 1.0):一份针对成年人的综合性食物频率问卷的验证
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2
Nutrient-wide association study of 57 foods/nutrients and epithelial ovarian cancer in the European Prospective Investigation into Cancer and Nutrition study and the Netherlands Cohort Study.在欧洲癌症与营养前瞻性调查研究及荷兰队列研究中对57种食物/营养素与上皮性卵巢癌进行营养素全基因组关联研究。
Am J Clin Nutr. 2016 Jan;103(1):161-7. doi: 10.3945/ajcn.115.118588. Epub 2015 Nov 25.
3
Possibilities and considerations when merging dietary data from the world's two largest pregnancy cohorts: the Danish National Birth Cohort and the Norwegian Mother and Child Cohort Study.整合全球两大妊娠队列(丹麦国家出生队列和挪威母婴队列研究)饮食数据时的可能性与考量因素。
Acta Obstet Gynecol Scand. 2014 Nov;93(11):1131-40. doi: 10.1111/aogs.12513. Epub 2014 Oct 16.
4
The Maastricht Study: an extensive phenotyping study on determinants of type 2 diabetes, its complications and its comorbidities.《马斯特里赫特研究》:一项关于 2 型糖尿病及其并发症和合并症决定因素的广泛表型研究。
Eur J Epidemiol. 2014 Jun;29(6):439-51. doi: 10.1007/s10654-014-9889-0. Epub 2014 Apr 23.
5
Optimising the selection of food items for FFQs using Mixed Integer Linear Programming.使用混合整数线性规划优化食物频率问卷(FFQ)食物项目的选择。
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6
Relative validity of the food frequency questionnaire used to assess dietary intake in the Leiden Longevity Study.用于评估莱顿长寿研究中饮食摄入的食物频率问卷的相对有效性。
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Self-reported energy intake by FFQ compared with actual energy intake to maintain body weight in 516 adults.516 名成年人用 FFQ 报告的能量摄入量与维持体重的实际能量摄入量比较。
Br J Nutr. 2011 Jul;106(2):274-81. doi: 10.1017/S0007114511000067.
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Selecting informative food items for compiling food-frequency questionnaires: comparison of procedures.选择用于编制食物频率问卷的信息性食物项目:程序比较
Br J Nutr. 2010 Aug;104(3):446-56. doi: 10.1017/S0007114510000401. Epub 2010 Apr 8.
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Cohort profile: the EPIC-NL study.队列简介:EPIC-NL研究。
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The second World Cancer Research Fund/American Institute for Cancer Research expert report. Food, nutrition, physical activity, and the prevention of cancer: a global perspective.世界癌症研究基金会/美国癌症研究学会的第二份专家报告。《食物、营养、身体活动与癌症预防:全球视角》
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荷兰国家 FFQ(FFQ-NL1.0):开发和与现有的荷兰 FFQ 的兼容性。

A national FFQ for the Netherlands (the FFQ-NL1.0): development and compatibility with existing Dutch FFQs.

机构信息

1Department of Epidemiology,CARIM School for Cardiovascular Diseases,Maastricht University,PO Box 616,6200 MD Maastricht,The Netherlands.

2Department of Epidemiology,CAPHRI School for Public Health and Primary Care,Maastricht University,Maastricht,The Netherlands.

出版信息

Public Health Nutr. 2018 Aug;21(12):2221-2229. doi: 10.1017/S1368980018000885. Epub 2018 Apr 22.

DOI:10.1017/S1368980018000885
PMID:29679987
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11106009/
Abstract

OBJECTIVE

In the Netherlands, various FFQs have been administered in large cohort studies, which hampers comparison and pooling of dietary data. The present study aimed to describe the development of a standardized Dutch FFQ, FFQ-NL1.0, and assess its compatibility with existing Dutch FFQs.

DESIGN

Dutch FFQTOOLTM was used to develop the FFQ-NL1.0 by selecting food items with the largest contributions to total intake and explained variance in intake of energy and thirty-nine nutrients in adults aged 25-69 years from the Dutch National Food Consumption Survey (DNFCS) 2007-2010. Compatibility with the Maastricht-FFQ, Wageningen-FFQ and EPICNL-FFQ was assessed by comparing the number of food items, the covered energy and nutrient intake, and the covered variance in intake.

RESULTS

FFQ-NL1.0 comprised 160 food items, v. 253, 183 and 154 food items for the Maastricht-FFQ, Wageningen-FFQ and EPICNL-FFQ, respectively. FFQ-NL1.0 covered ≥85 % of energy and all nutrients reported in the DNFCS. Covered variance in intake ranged from 57 to 99 % for energy and macronutrients, and from 45 to 93 % for micronutrients. Differences between FFQ-NL1.0 and the other FFQs in covered nutrient intake and covered variance in intake were <5 % for energy and all macronutrients. For micronutrients, differences between FFQ-NL and other FFQs in covered level of intake were <15 %, but differences in covered variance were much larger, the maximum difference being 36 %.

CONCLUSIONS

The FFQ-NL1.0 was compatible with other FFQs regarding energy and macronutrient intake. However, compatibility for covered variance of intake was limited for some of the micronutrients. If implemented in existing cohorts, it is advised to administer the old and the new FFQ in combination to derive calibration factors.

摘要

目的

在荷兰,多项 FFQ 已应用于大型队列研究,这妨碍了膳食数据的比较和汇总。本研究旨在描述标准化荷兰 FFQ(FFQ-NL1.0)的开发,并评估其与现有的荷兰 FFQ 的兼容性。

设计

使用 Dutch FFQTOOLTM 通过选择对成年人总摄入量和能量及 39 种营养素摄入量解释方差贡献最大的食物项目,从 2007-2010 年荷兰国家食品消费调查(DNFCS)中开发 FFQ-NL1.0。通过比较食物项目数量、涵盖的能量和营养素摄入量以及摄入量解释方差,评估与马斯特里赫特 FFQ、瓦赫宁恩 FFQ 和 EPICNL-FFQ 的兼容性。

结果

FFQ-NL1.0 包括 160 种食物项目,而马斯特里赫特 FFQ、瓦赫宁恩 FFQ 和 EPICNL-FFQ 分别包括 253、183 和 154 种食物项目。FFQ-NL1.0 涵盖 DNFCS 报告的≥85%的能量和所有营养素。涵盖的能量和宏量营养素摄入量的解释方差范围为 57%至 99%,微量营养素的摄入量解释方差范围为 45%至 93%。FFQ-NL1.0 与其他 FFQ 之间的能量和所有宏量营养素的营养素摄入量和摄入量解释方差的差异<5%。对于微量营养素,FFQ-NL1.0 与其他 FFQ 之间的覆盖水平差异<15%,但覆盖方差的差异要大得多,最大差异为 36%。

结论

FFQ-NL1.0 在能量和宏量营养素摄入量方面与其他 FFQ 兼容。然而,对于一些微量营养素,摄入量解释方差的覆盖范围有限。如果在现有队列中实施,建议结合使用新旧 FFQ 来得出校准因子。