Comparative analysis of the Cancer Council of Victoria and the online Commonwealth Scientific and Industrial Research Organisation FFQ

被引:6
|
作者
Gardener, Samantha L. [1 ,2 ]
Rainey-Smith, Stephanie R. [1 ,2 ]
Macaulay, S. Lance [3 ]
Taddei, Kevin [1 ,2 ]
Rembach, Alan [4 ]
Maruff, Paul [4 ,5 ]
Ellis, Kathryn A. [4 ,6 ,7 ]
Masters, Colin L. [4 ]
Rowe, Christopher C. [8 ,9 ]
Ames, David [6 ,7 ]
Keogh, Jennifer B. [10 ,11 ]
Martins, Ralph N. [1 ,2 ]
机构
[1] Edith Cowan Univ, Sch Med Sci, Ctr Excellence Alzheimers Dis Res & Care, Joondalup, WA 6027, Australia
[2] Hollywood Private Hosp, Sir James McCusker Alzheimers Dis Res Unit, Perth, WA 6009, Australia
[3] CSIRO Food & Nutr Flagship, Cmse Parkville, Vic 3052, Australia
[4] Univ Melbourne, Florey Inst Neurosci & Mental Hlth, Parkville, Vic 3052, Australia
[5] Cogstate Ltd, Melbourne, Vic 3000, Australia
[6] Natl Ageing Res Inst, Parkville, Vic 3052, Australia
[7] Univ Melbourne, Acad Unit Psychiat Old Age, St Vincents Hlth, Dept Psychiat, Kew, Vic 3101, Australia
[8] Austin Hlth, Dept Nucl Med, Heidelberg, Vic 3084, Australia
[9] Austin Hlth, Ctr PET, Heidelberg, Vic 3084, Australia
[10] Univ S Australia, Sch Pharm & Med Sci, Adelaide, SA 5001, Australia
[11] Univ S Australia, Sansom Inst Hlth Res, Div Hlth Sci, Adelaide, SA 5001, Australia
[12] AIBL Res Grp, Adelaide, SA, Australia
基金
英国医学研究理事会;
关键词
Cancer Council of Victoria FFQ; Commonwealth Scientific and Industrial Research Organisation FFQ; Comparative; analysis; FFQ; FOOD-FREQUENCY QUESTIONNAIRE; VEGETABLE INTAKE; RELIABILITY; FRUIT;
D O I
10.1017/S0007114515003335
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
FFQ are commonly used to examine the association between diet and disease. They are the most practical method for usual dietary data collection as they are relatively inexpensive and easy to administer. In Australia, the Cancer Council of Victoria FFQ (CCVFFQ) version 2 and the online Commonwealth Scientific and Industrial Research Organisation FFQ (CSIROFFQ) are used. The aim of our study was to establish the level of agreement between nutrient intakes captured using the online CSIROFFQ and the paper-based CCVFFQ. The CCVFFQ and the online CSIROFFQ were completed by 136 healthy participants. FFQ responses were analysed to give g per d intake of a range of nutrients. Agreement between twenty-six nutrient intakes common to both FFQ was measured by a variety of methods. Nutrient intake levels that were significantly correlated between the two FFQ were carbohydrates, total fat, Na and MUFA. When assessing ranking of nutrients into quintiles, on average, 56 % of the participants (for all nutrients) were classified into the same or adjacent quintiles in both FFQ, with the highest percentage agreement for sugar. On average, 21 % of participants were grossly misclassified by three or four quintiles, with the highest percentage misclassification for fibre and Fe. Quintile agreement was similar to that reported by other studies, and we concluded that both FFQ are suitable tools for dividing participants' nutrient intake levels into high-and low-consumption groups. Use of either FFQ was not appropriate for obtaining accurate estimates of absolute nutrient intakes.
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页码:1683 / 1693
页数:11
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