Traditional dietary assessment tools verses technology-based methods in children and adolescence. An updated review Traditional and technological diet assessment methods

Main Article Content

Khlood Baghlaf

Keywords

diet assessment- children- online diet assessment – diet records- food questionnaires

Abstract

Dietary assessment in children is challenging for several reasons. In research, there are several challenges in the accurate assessment of diet and nutrition. In particular, the selection of the most appropriate dietary assessment method for their study. The aim of this review is to summarize the most common traditional and technology-based tools that are used in children for dietary assessment implementation. Traditional diet assessment methods are available to assess children dietary intake in research, each one with different strengths and weaknesses. The most common dietary measures to assess children’s diet are food frequency questionnaires, weighed food records, 24 hour recall and diet history interviews because they are valid accurate measures Recently, several technology-based tools have been introduced to provide a more accurate record of portion size using visualisations and to improve the participation response of traditional dietary surveys. These new measurement tools optimized to use on mobile phones and tablets, which makes it more accessible for participants. The development of technology-based dietary measures now allows for a detailed analysis of the whole diet on different days and at different times of the day with low-cost, precision and convenient to patients.

Downloads

Download data is not yet available.
Abstract 5 |

References

1. Labonté M-È, Kirkpatrick SI, Bell RC, Boucher BA, Csizmadi I, Koushik A, et al. Dietary assessment is a critical element of health research–Perspective from the Partnership for Advancing Nutritional and Dietary Assessment in Canada. Applied Physiology, Nutrition, and Metabolism. 2016;41(10):1096-9.
2. Archer E, Pavela G, Lavie CJ, editors. The inadmissibility of what we eat in America and NHANES dietary data in nutrition and obesity research and the scientific formulation of national dietary guidelines. Mayo Clinic Proceedings; 2015: Elsevier.
3. Hedrick VE, Dietrich AM, Estabrooks PA, Savla J, Serrano E, Davy BM. Dietary biomarkers: advances, limitations and future directions. Nutrition journal. 2012;11(1):109.
4. Walker JL, Ardouin S, Burrows T. The validity of dietary assessment methods to accurately measure energy intake in children and adolescents who are overweight or obese: A systematic review. European journal of clinical nutrition. 2017:1.
5. Kimberlin CL, Winterstein AG. Validity and reliability of measurement instruments used in research. American Journal of Health-System Pharmacy. 2008;65(23):2276-84.
6. Speakman JR. The history and theory of the doubly labeled water technique. The American journal of clinical nutrition. 1998;68(4):932S-8S.
7. Singh AS, Vik FN, Chinapaw MJ, Uijtdewilligen L, Verloigne M, Fernández-Alvira JM, et al. Test-retest reliability and construct validity of the ENERGY-child questionnaire on energy balance-related behaviours and their potential determinants: the ENERGY-project. International Journal of Behavioral Nutrition and Physical Activity. 2011;8(1):136.
8. Wrieden W, Peace H, Armstrong J, Barton K, editors. A short review of dietary assessment methods used in National and Scottish Research Studies. Briefing Paper Prepared for: Working Group on Monitoring Scottish Dietary Targets Workshop Edinburgh; 2003.
9. Kolodziejczyk JK, Merchant G, Norman GJ. Reliability and validity of child/adolescent food frequency questionnaires that assess foods and/or food groups. Journal of pediatric gastroenterology and nutrition. 2012;55(1):4-13.
10. Hu FB, Rimm E, Smith-Warner SA, Feskanich D, Stampfer MJ, Ascherio A, et al. Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. The American journal of clinical nutrition. 1999;69(2):243-9.
11. Watson JF, Collins CE, Sibbritt DW, Dibley MJ, Garg ML. Reproducibility and comparative validity of a food frequency questionnaire for Australian children and adolescents. International Journal of Behavioral Nutrition and Physical Activity. 2009;6(1):62.
12. Rockett HR, Breitenbach M, Frazier AL, Witschi J, Wolf AM, Field AE, et al. Validation of a youth/adolescent food frequency questionnaire. Preventive medicine. 1997;26(6):808-16.
13. Kroke A, Klipstein-Grobusch K, Voss S, Möseneder J, Thielecke F, Noack R, et al. Validation of a self-administered food-frequency questionnaire administered in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study: comparison of energy, protein, and macronutrient intakes estimated with the doubly labeled water, urinary nitrogen, and repeated 24-h dietary recall methods–. The American journal of clinical nutrition. 1999;70(4):439-47.
14. Masson LF, Blackburn A, Sheehy C, Craig LC, Macdiarmid JI, Holmes BA, et al. Sugar intake and dental decay: results from a national survey of children in Scotland. The British journal of nutrition. 2010;104(10):1555-64.
15. Yabao R, Duante C, Velandria F, Lucas M, Kassu A, Nakamori M, et al. Prevalence of dental caries and sugar consumption among 6–12-y-old schoolchildren in La Trinidad, Benguet, Philippines. European journal of clinical nutrition. 2005;59(12):1429-38.
16. García-Closas R, GarcIa-Closas M, Serra-Majem L. A cross-sectional study of dental caries, intake of confectionery and foods rich in starch and sugars, and salivary counts of Streptococcus mutans in children in Spain. The American journal of clinical nutrition. 1997;66(5):1257-63.
17. Burrows TL, Martin RJ, Collins CE. A systematic review of the validity of dietary assessment methods in children when compared with the method of doubly labeled water. Journal of the American Dietetic Association. 2010;110(10):1501-10.
18. Buzzard M. 24-hour dietary recall and food record methods. Monographs in Epidemiology and Biostatistics. 1998;1(30):50-73.
19. Subar AF, Ziegler RG, Thompson FE, Johnson CC, Weissfeld JL, Reding D, et al. Is shorter always better? Relative importance of questionnaire length and cognitive ease on response rates and data quality for two dietary questionnaires. American journal of epidemiology. 2001;153(4):404-9.
20. Davies PS, Coward W, Gregory J, White A, Mills A. Total energy expenditure and energy intake in the pre-school child: a comparison. British Journal of Nutrition. 1994;72(01):13-20.
21. Ortega RM, Pérez-Rodrigo C, López-Sobaler AM. Dietary assessment methods: dietary records. Nutricion hospitalaria. 2015;31(3).
22. Livingstone MB, Prentice AM, Coward WA, Strain JJ, Black AE, Davies P, et al. Validation of estimates of energy intake by weighed dietary record and diet history in children and adolescents. The American journal of clinical nutrition. 1992;56(1):29-35.
23. Gibson S, Williams S. Dental caries in pre–school children: associations with social class, toothbrushing habit and consumption of sugars and sugar–containing foods. Caries research. 1999;33(2):101-13.
24. Gibson SA. Breakfast cereal consumption in young children: associations with non-milk extrinsic sugars and caries experience: further analysis of data from the UK National Diet and Nutrition Survey of children aged 1.5–4.5 years. Public health nutrition. 2000;3(2):227-32.
25. Burrows T, Truby H, Morgan P, Callister R, Davies P, Collins CE. A comparison and validation of child versus parent reporting of children's energy intake using food frequency questionnaires versus food records: who's an accurate reporter? Clinical nutrition. 2013;32(4):613-8.
26. Raper N, Perloff B, Ingwersen L, Steinfeldt L, Anand J. An overview of USDA's dietary intake data system. Journal of food composition and analysis. 2004;17(3):545-55.
27. Montgomery C, Reilly JJ, Jackson DM, Kelly LA, Slater C, Paton JY, et al. Validation of energy intake by 24-hour multiple pass recall: comparison with total energy expenditure in children aged 5–7 years. British journal of nutrition. 2005;93(5):671-6.
28. Johnson RK, Driscoll P, Goran MI. Comparison of multiple-pass 24-hour recall estimates of energy intake with total energy expenditure determined by the doubly labeled water method in young children. Journal of the American Dietetic Association. 1996;96(11):1140-4.
29. Evans EW, Hayes C, Palmer CA, Bermudez OI, Cohen SA, Must A. Dietary Intake and Severe Early Childhood Caries in Low-Income, Young Children. Journal of the Academy of Nutrition and Dietetics. 2013;113(8):1057-61.
30. Fiorito LM, Marini M, Mitchell DC, Smiciklas-Wright H, Birch LL. Girls' early sweetened carbonated beverage intake predicts different patterns of beverage and nutrient intake across childhood and adolescence. Journal of the American Dietetic Association.110(4):543-50.
31. Krantzler NJ, Mullen BJ, Schutz HG, Grivetti LE, Holden CA, Meiselman HL. Validity of telephoned diet recalls and records for assessment of individual food intake. The American journal of clinical nutrition. 1982;36(6):1234-42.
32. Chinnock A. Validation of an estimated food record. Public health nutrition. 2006;9(07):934-41.
33. O'Connor J, Ball EJ, Steinbeck KS, Davies PS, Wishart C, Gaskin KJ, et al. Comparison of total energy expenditure and energy intake in children aged 6–9 y. The American journal of clinical nutrition. 2001;74(5):643-9.
34. Marshall TA, Levy SM, Broffitt B, Warren JJ, Eichenberger-Gilmore JM, Burns TL, et al. Dental caries and beverage consumption in young children. Pediatrics. 2003;112(3):E184-E91.
35. Burke BS. The dietary history as a tool in research. Journal of the American Dietetic Association. 1947;23:1041-6.
36. Sjöberg A, Slinde F, Arvidsson D, Ellegård L, Gramatkovski E, Hallberg L, et al. Energy intake in Swedish adolescents: validation of diet history with doubly labelled water. European journal of clinical nutrition. 2003;57(12):1643-52.
37. Waling MU, Larsson CL. Energy intake of Swedish overweight and obese children is underestimated using a diet history interview. The Journal of nutrition. 2009;139(3):522-7.
38. Moran Fagundez LJ, Rivera Torres A, Gonzalez Sanchez ME, de Torres Aured ML, Perez Rodrigo C, Irles Rocamora JA. Diet history: Method and applications. Nutr Hosp. 2015;31 Suppl 3:57-61.
39. Burrows TL, Rollo ME, Williams R, Wood LG, Garg ML, Jensen M, et al. A systematic review of technology-based dietary intake assessment validation studies that include carotenoid biomarkers. Nutrients. 2017;9(2):140.
40. Adamson A, Baranowski T. Developing technological solutions for dietary assessment in children and young people. Journal of Human Nutrition and Dietetics. 2014;27(s1):1-4.
41. Foster E, Hawkins A, Simpson E, Adamson A. Developing an interactive portion size assessment system (IPSAS) for use with children. Journal of Human Nutrition and Dietetics. 2014;27(s1):18-25.
42. Foster E, Hawkins A, Delve J, Adamson A. Reducing the cost of dietary assessment: Self‐Completed Recall and Analysis of Nutrition for use with children (SCRAN24). Journal of Human Nutrition and Dietetics. 2014;27(s1):26-35.
43. Foster E, Delve J, Simpson E, Breininger S-P. Comparison study: INTAKE24 vs Interviewer led recall. United Kingdom: Newcastle University and Food Standards Agency; 2014 October 2014.
44. Bradley J, Simpson E, Poliakov I, Matthews JN, Olivier P, Adamson AJ, et al. Comparison of INTAKE24 (an online 24-h dietary recall tool) with interviewer-led 24-h recall in 11–24 year-old. Nutrients. 2016;8(6):358.
45. Bates B, Lennox A, Prentice A, Bates CJ, Page P, Nicholson S, et al. National Diet and Nutrition Survey: Results from Years 1-4 (combined) of the Rolling Programme (2008/2009-2011/12).. Executive Summary: Public Health England; 2014.
46. Rowland M, Poliakov I, Christie S, Simpson E, Foster E. Field testing of the use of INTAKE24 in a sample of young people and adults living in Scotland. 2016.
47. Pine C, Adair P, Robinson L, Burnside G, Moynihan P, Wade W, et al. The BBaRTS Healthy Teeth Behaviour Change Programme for preventing dental caries in primary school children: study protocol for a cluster randomised controlled trial. Trials. 2016;17(1):1.
48. Osadchiy T, Poliakov I, Olivier P, Rowland M, Foster E. Progressive 24-Hour Recall: Usability Study of Short Retention Intervals in Web-Based Dietary Assessment Surveys. Journal of Medical Internet Research. 2020;22(2):e13266.
49. Simpson E, Bradley J, Poliakov I, Jackson D, Olivier P, Adamson AJ, et al. Iterative development of an online dietary recall tool: INTAKE24. Nutrients. 2017;9(2):118.