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2
Estimating food intakes in Australia: validation of the Commonwealth Scientific and Industrial Research Organisation (CSIRO) food frequency questionnaire against weighed dietary intakes.澳大利亚食物摄入量评估:联邦科学与工业研究组织(CSIRO)食物频率问卷与称重膳食摄入量的验证。
J Hum Nutr Diet. 2009 Dec;22(6):559-66. doi: 10.1111/j.1365-277X.2009.00990.x.
3
Validity and reproducibility of a food frequency Questionnaire among Chinese women in Guangdong province.广东省中国女性食物频率问卷的有效性和可重复性
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4
Biomarkers in nutritional epidemiology: applications, needs and new horizons.营养流行病学中的生物标志物:应用、需求与新视野
Hum Genet. 2009 Jun;125(5-6):507-25. doi: 10.1007/s00439-009-0662-5. Epub 2009 Apr 9.
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Reproducibility of food and nutrient intake estimates using a semi-quantitative FFQ in Australian adults.利用半定量食物频数问卷评估澳大利亚成年人食物和营养素摄入量的重复性。
Public Health Nutr. 2009 Dec;12(12):2359-65. doi: 10.1017/S1368980009005023. Epub 2009 Mar 4.
6
Food-frequency questionnaires: a review of their design, validation and utilisation.食物频率问卷:其设计、验证与应用综述
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7
Nutrition education: linking research, theory, and practice.营养教育:连接研究、理论与实践。
Asia Pac J Clin Nutr. 2008;17 Suppl 1:176-9.
8
Is plasma vitamin C an appropriate biomarker of vitamin C intake? A systematic review and meta-analysis.血浆维生素C是维生素C摄入量的合适生物标志物吗?一项系统评价和荟萃分析。
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Design characteristics of food frequency questionnaires in relation to their validity.食物频率问卷的设计特征与其效度的关系。
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10
Carotenoid and tocopherol estimates from the NCI diet history questionnaire are valid compared with multiple recalls and serum biomarkers.与多次回忆法和血清生物标志物相比,来自美国国立癌症研究所饮食史问卷的类胡萝卜素和生育酚估计值是有效的。
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为新西兰成年人设计的一份综合性食物频率问卷:营养素摄入量的信效度。

A comprehensive FFQ developed for use in New Zealand adults: reliability and validity for nutrient intakes.

作者信息

Sam Cecilia H Y, Skeaff Sheila, Skidmore Paula M L

机构信息

Department of Human Nutrition, University of Otago, PO Box 56, Dunedin, New Zealand.

出版信息

Public Health Nutr. 2014 Feb;17(2):287-96. doi: 10.1017/S1368980012005058. Epub 2012 Dec 3.

DOI:10.1017/S1368980012005058
PMID:23199788
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10282265/
Abstract

OBJECTIVE

To evaluate the reliability and relative validity of a semi-quantitative FFQ for assessing the habitual intake of multiple nutrients in New Zealand (NZ) adults over the past 12 months.

DESIGN

A 154-item FFQ was developed. After initial pre-testing, reliability was assessed using intra-class correlations. Relative validity was assessed by comparing nutrient intakes derived from the FFQ v. those from an 8 d diet record (8dWDR) collected over 12 months and selected blood biomarkers, using Spearman correlations. Supplementary cross-classification and Bland-Altman analyses were performed to assess validity of the FFQ v. the 8dWDR.

SETTING

Dunedin, NZ.

SUBJECTS

One hundred and thirty-two males and females aged 30-59 years who completed all FFQ and 8dWDR and provided a blood sample.

RESULTS

Reliability coefficients ranged from 0·47 for Ca to 0·83 for alcohol, with most values falling between 0·60 and 0·80. The highest validity coefficients for energy-adjusted data were observed for alcohol (0·74), cholesterol (0·65) and β-carotene (0·58), and the lowest for Zn (0·24) and Ca (0·28). For all energy-adjusted nutrients mean percentage correct classification was 77·9% and gross misclassification was 4·5%. Results of Bland-Altman analyses showed wide limits of agreement for all micronutrients but high agreement was observed for most macronutrients (99% for protein, 103% for total fat). When compared with biomarkers, energy-adjusted coefficients were 0·34 for β-carotene and 0·33 for vitamin C.

CONCLUSIONS

The FFQ provides highly repeatable measurements and good validity in ranking individuals' intake, suggesting that it will be a useful tool to assess nutrient intake of NZ adults in future research.

摘要

目的

评估一种半定量食物频率问卷(FFQ)在评估新西兰成年人过去12个月多种营养素习惯性摄入量方面的可靠性和相对有效性。

设计

开发了一份包含154个条目的FFQ。在初步预测试后,使用组内相关性评估可靠性。通过比较FFQ得出的营养素摄入量与12个月内收集的8天饮食记录(8dWDR)得出的摄入量以及选定的血液生物标志物,使用Spearman相关性评估相对有效性。进行补充交叉分类和Bland-Altman分析以评估FFQ与8dWDR的有效性。

地点

新西兰达尼丁

受试者

132名年龄在30 - 59岁之间的男性和女性,他们完成了所有FFQ和8dWDR并提供了血液样本。

结果

可靠性系数范围从钙的0.47到酒精的0.83,大多数值在0.60至0.80之间。能量调整数据的最高有效性系数出现在酒精(0.74)、胆固醇(0.65)和β-胡萝卜素(0.58),最低的是锌(0.24)和钙(0.28)。对于所有能量调整营养素,平均正确分类百分比为77.9%,总体错误分类为4.5%。Bland-Altman分析结果显示,所有微量营养素的一致性界限较宽,但大多数宏量营养素的一致性较高(蛋白质为99%,总脂肪为103%)。与生物标志物相比,β-胡萝卜素的能量调整系数为0.34,维生素C为0.33。

结论

该FFQ在对个体摄入量进行排名时提供了高度可重复的测量和良好的有效性,表明它将成为未来研究中评估新西兰成年人营养素摄入量的有用工具。