Literature DB >> 26975650

Agreement between an online dietary assessment tool (myfood24) and an interviewer-administered 24-h dietary recall in British adolescents aged 11-18 years.

Salwa A Albar1, Nisreen A Alwan2, Charlotte E L Evans1, Darren C Greenwood3, Janet E Cade1.   

Abstract

myfood24 Is an online 24-h dietary assessment tool developed for use among British adolescents and adults. Limited information is available regarding the validity of using new technology in assessing nutritional intake among adolescents. Thus, a relative validation of myfood24 against a face-to-face interviewer-administered 24-h multiple-pass recall (MPR) was conducted among seventy-five British adolescents aged 11-18 years. Participants were asked to complete myfood24 and an interviewer-administered MPR on the same day for 2 non-consecutive days at school. Total energy intake (EI) and nutrients recorded by the two methods were compared using intraclass correlation coefficients (ICC), Bland-Altman plots (using between and within-individual information) and weighted κ to assess the agreement. Energy, macronutrients and other reported nutrients from myfood24 demonstrated strong agreement with the interview MPR data, and ICC ranged from 0·46 for Na to 0·88 for EI. There was no significant bias between the two methods for EI, macronutrients and most reported nutrients. The mean difference between myfood24 and the interviewer-administered MPR for EI was -230 kJ (-55 kcal) (95 % CI -490, 30 kJ (-117, 7 kcal); P=0·4) with limits of agreement ranging between 39 % (3336 kJ (-797 kcal)) lower and 34 % (2874 kJ (687 kcal)) higher than the interviewer-administered MPR. There was good agreement in terms of classifying adolescents into tertiles of EI (κ w =0·64). The agreement between day 1 and day 2 was as good for myfood24 as for the interviewer-administered MPR, reflecting the reliability of myfood24. myfood24 Has the potential to collect dietary data of comparable quality with that of an interviewer-administered MPR.

Entities:  

Keywords:  Adolescents; CSD Children’s Social Desirability; EI energy intake; ICC intraclass correlation coefficient; Interviewer-administered 24-h recall; Myfood24; Online dietary assessment tools; Validation; YANA-C Young Adolescents’ Nutrition Assessment on computer; interview (MPR) interviewer-administered 24-h multiple-pass dietary recall; myfood24 Measure Your Food On One Day

Mesh:

Year:  2016        PMID: 26975650     DOI: 10.1017/S0007114516000593

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  22 in total

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2.  Developing an online food composition database for an Indigenous population in south-western Uganda.

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Review 3.  Change in diet in the period from adolescence to early adulthood: a systematic scoping review of longitudinal studies.

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4.  Comparison of a Web-Based 24-h Dietary Recall Tool (Foodbook24) to an Interviewer-Led 24-h Dietary Recall.

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5.  Traditional methods v. new technologies - dilemmas for dietary assessment in large-scale nutrition surveys and studies: a report following an international panel discussion at the 9th International Conference on Diet and Activity Methods (ICDAM9), Brisbane, 3 September 2015.

Authors:  B Amoutzopoulos; T Steer; C Roberts; J E Cade; C J Boushey; C E Collins; E Trolle; E J de Boer; N Ziauddeen; C van Rossum; E Buurma; D Coyle; P Page
Journal:  J Nutr Sci       Date:  2018-04-02

6.  The Design and Development of a Food Composition Database for an Electronic Tool to Assess Food Intake in New Caledonian Families.

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7.  The Reliability and Validity of Short Online Questionnaires to Measure Fruit and Vegetable Intake in Adults: The Fruit Test and Vegetable Test.

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8.  Comparison of INTAKE24 (an Online 24-h Dietary Recall Tool) with Interviewer-Led 24-h Recall in 11-24 Year-Old.

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9.  Validity of an online 24-h recall tool (myfood24) for dietary assessment in population studies: comparison with biomarkers and standard interviews.

Authors:  Petra A Wark; Laura J Hardie; Gary S Frost; Nisreen A Alwan; Michelle Carter; Paul Elliott; Heather E Ford; Neil Hancock; Michelle A Morris; Umme Z Mulla; Essra A Noorwali; K Petropoulou; David Murphy; Gregory D M Potter; Elio Riboli; Darren C Greenwood; Janet E Cade
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Review 10.  Can big data solve a big problem? Reporting the obesity data landscape in line with the Foresight obesity system map.

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