A new tool for converting food frequency questionnaire data into nutrient and food group values: FETA research methods and availability

A new tool for converting food frequency questionnaire data into nutrient and food group values: FETA research methods and availability
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DOI:
10.1136/bmjopen-2013-004503
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发表时间:
2014-01-01
期刊:
影响因子:
2.9
通讯作者:
Khaw, Kay-Tee
Khaw, Kay-Tee
中科院分区:
医学3区
文献类型:
--
作者:
Mulligan, Angela A.;Luben, Robert N.;Khaw, Kay-Tee

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目的描述开发一个新的开源、跨平台的工具的研究方法,该工具处理来自欧洲癌症和营养前瞻性调查诺福克食物频率问卷(EPIC-诺福克食物频率问卷)的数据。另一个目的是比较从当前工具(FETA,FFQ EPIC分析工具)获得的营养和食物组值与以前验证但较难获得的工具CAFE(频率估计的成分分析)。研究还调查了文本匹配对摄入量数据的影响。一项前瞻性队列研究-EPIC-诺福克的设计横断面分析。设定东英格兰人口(诺里奇市及其周围小城镇和农村地区)。参与者完整的FFQ数据,来自11 250名男性和13 602名女性(平均年龄59岁;范围40-79岁)。结果测量来自EPIC-诺福克FQ数据的羊奶和咖啡馆分析得出的营养素和食物组摄入量。结果来自羊奶和咖啡馆的营养产出相似;平均能量摄入量(SD)男性为9222kJ(2633),女性为8113kJ(2296),而咖啡馆男性为9175kJ(2630),女性为8091kJ(2298)。大多数差异导致一个或更少的五分位数变化(98.7%)。仅水果和蔬菜组的平均日摄入量女性高于男性(分别为278vs212和284vs255 g)。当不执行文本匹配时,除酒精外,所有营养素都发生了明显的五分位数变化;然而,只有谷类食品组受到影响。结论FETA产生的营养素和食物组值与之前验证的CAFE相似,但具有开源、跨平台和完整的数据录入表格,与软件直接兼容。该工具将促进使用EPIC-诺福克FFQ进行研究,并可针对不同的研究人群进行定制。
ObjectivesTo describe the research methods for the development of a new open source, cross-platform tool which processes data from the European Prospective Investigation into Cancer and Nutrition Norfolk Food Frequency Questionnaire (EPIC-Norfolk FFQ). A further aim was to compare nutrient and food group values derived from the current tool (FETA, FFQ EPIC Tool for Analysis) with the previously validated but less accessible tool, CAFe (Compositional Analyses from Frequency Estimates). The effect of text matching on intake data was also investigated.DesignCross-sectional analysis of a prospective cohort study-EPIC-Norfolk.SettingEast England population (city of Norwich and its surrounding small towns and rural areas).ParticipantsComplete FFQ data from 11 250 men and 13 602 women (mean age 59 years; range 40-79 years).Outcome measuresNutrient and food group intakes derived from FETA and CAFe analyses of EPIC-Norfolk FFQ data.ResultsNutrient outputs from FETA and CAFe were similar; mean (SD) energy intake from FETA was 9222 kJ (2633) in men, 8113 kJ (2296) in women, compared with CAFe intakes of 9175 kJ (2630) in men, 8091 kJ (2298) in women. The majority of differences resulted in one or less quintile change (98.7%). Only mean daily fruit and vegetable food group intakes were higher in women than in men (278 vs 212 and 284 vs 255 g, respectively). Quintile changes were evident for all nutrients, with the exception of alcohol, when text matching was not executed; however, only the cereals food group was affected.ConclusionsFETA produces similar nutrient and food group values to the previously validated CAFe but has the advantages of being open source, cross-platform and complete with a data-entry form directly compatible with the software. The tool will facilitate research using the EPIC-Norfolk FFQ, and can be customised for different study populations.