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Comparison of online 24hr dietary recalls using INTAKE24 with interviewer-led 24hr recalls in 11–24 year olds

Published online by Cambridge University Press:  24 November 2016

J. Bradley
Affiliation:
Human Nutrition Research Centre, Institute of Health & Society, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
E. Simpson
Affiliation:
Human Nutrition Research Centre, Institute of Health & Society, Newcastle University, Newcastle upon Tyne NE2 4HH, UK. Open Lab, School of Computing Science, Newcastle University, Newcastle upon Tyne NE1 8HW, UK
A.J. Adamson
Affiliation:
Human Nutrition Research Centre, Institute of Health & Society, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
I. Poliakov
Affiliation:
Open Lab, School of Computing Science, Newcastle University, Newcastle upon Tyne NE1 8HW, UK
P. Olivier
Affiliation:
Open Lab, School of Computing Science, Newcastle University, Newcastle upon Tyne NE1 8HW, UK
E. Foster
Affiliation:
Human Nutrition Research Centre, Institute of Health & Society, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
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Abstract

Type
Abstract
Copyright
Copyright © The Authors 2016 

Online dietary surveys offer a low-cost alternative to traditional interviewer-led assessments, and can be administered with relative ease to large population groups. INTAKE24 is an online 24hr dietary recall tool developed by Newcastle University for use with people aged 11 years and older. The tool was initially developed to survey dietary intake of 11–24 year olds in Scotland. A comparison of INTAKE24 with interviewer-led 24hr recalls was conducted with 11–24 year olds to compare the tool against an established, validated and widely used method.

One hundred and sixty-seven 11–24 year olds completed INTAKE24 and an interviewer-led 24hr recall on the same day on four occasions. A weighted randomisation was used with 75 % of participants completing INTAKE24 first and 25 % completing the interviewer-led recall first. All recalls for participants aged 11–16 years took place at secondary schools. For 17–24 year olds, the initial interview was conducted face-to-face with the participant, and the remaining three recalls were conducted over the telephone. The four days included at least one weekend day. The interviewer-led 24hr recalls followed the interview protocol used in the LIDNS(Reference Nelson, Erens and Bates1). Portion size was assessed using the Young Person's Food Atlas(Reference Foster, Matthews and Lloyd2).

The accuracy of estimation of nutrient intakes using INTAKE24 was calculated as a ratio by dividing each participant's estimated nutrient intake from INTAKE24 by the estimated intake from the interviewer-led recall. A ratio of less than 1 indicates an under-estimation of intake using INTAKE24 compared with the interviewer-led recall and above 1 represents an over-estimation. The closer the ratio to 1, the more accurate the estimate. The table below indicates the relative accuracy of the online tool. Limits of agreement were applied so that 95 % of the differences would lie between the limits.

INTAKE24 was found to under-estimate energy intake by just 1 % on average with the limits of agreement ranging from an under-estimate of 49 % to an over-estimate of 92 % compared with the interviewer-led recall. The accuracy of INTAKE24 compared favourably with other methods of dietary assessment, such as YANA-C(Reference Vereecken, Covents and Sichert-Hellert3) and myfood24(Reference Albar, Alwan and Evans4), in both adults and children although the precision of the system was slightly lower as seen by the relatively wide limits of agreement.

The development of INTAKE24 is ongoing and several new features have been incorporated since the comparison study to improve the accuracy of the data captured including a video tutorial, context specific help, and the ability to input recipe items and missing foods. The system is currently being adapted for use in four countries.

This work was funded by the Food Standards Agency in Scotland.

References

1.Nelson, M, Erens, B, Bates, B et al. (2007) Low Income Diet and Nutrition Survey. Volume 1: Background, Methods and Sample characteristics. London: The Stationary Office.Google Scholar
2.Foster, E, Matthews, JN, Lloyd, J et al. (2008) Br J Nutr 99, 175–84.Google Scholar
3.Vereecken, CA, Covents, M, Sichert-Hellert, W et al. (2008) Int J Obes (Lond) 32, S2634.Google Scholar
4.Albar, SA, Alwan, NA, Evans, CE, et al. (2016) Br J Nutr 15, 19. [Epub ahead of print].Google Scholar