Reliability and validity of assessing energy and nutrient intake with the Vienna food record: a cross-over randomised study
Tóm tắt
The Vienna Food Record was developed as a simple paper-based pre-coded food record for use in Austrian adults, which can be completed over a flexible period of time. The present study aimed at evaluating test-retest reliability of the Vienna Food Record and its concurrent validity against a weighed food record. A randomised cross-over study served to compare outcomes of the Vienna Food Record with those of the weighed food record. The Vienna Food Record was completed for a second time, in order to assess test-retest reliability. Three assessment phases were interrupted by two-week wash-out phases. Sixty-seven free living Austrians aged 18–64 years, without (self-) diagnosed food allergies or intolerances, not at any medication, and not nutrition experts, were randomly assigned to one of two study arms. After drop-outs and exclusion of under-reporters, data of 35 participants has been analysed. Paired t-tests were performed for comparisons, regarding test-retest reliability and criterion validity, where mean differences were calculated as effect sizes. Consistency between repeated assessments with the Vienna Food Record was expressed by intra-class-correlation coefficients (ICC), while Pearson’s r was used for agreement regarding validity. Bland-Altman Plots with 95% limits of agreement were created for energy and macronutrients. Validity metrics for macronutrients were analysed additionally separated by gender, taking an adjustment of energy intake into account. Total energy intakes as well as intakes of macro- and selected micronutrients, expressed as daily means, were defined as 34 primary outcomes. ICCs for energy and intake of preselected nutrients, expressing the consistency of the Vienna Food Record, ranged from not significant to 0.95. Pearson’s correlation coefficients, expressing the agreement of the Vienna Food Record with the weighed food record ranged from not significant to 0.80. This study demonstrates acceptable reliability and validity of the Vienna Food Record as an instrument for the assessment of energy and nutrient intake, comparable to the results of similar studies.
Tài liệu tham khảo
Naska A, Lagiou A, Lagiou P. Dietary assessment methods in epidemiological research: current state of the art and future prospects. F1000Res. 2017;6:926. https://doi.org/10.12688/f1000research.10703.1.
Thompson FE, Byers T. Dietary assessment resource manual. J Nutr. 1994;124:2245S–317S. https://doi.org/10.1093/jn/124.suppl_11.2245s.
Savard C, Lemieux S, Lafrenière J, Laramée C, Robitaille J, Morisset A-S. Validation of a self-administered web-based 24-hour dietary recall among pregnant women. BMC Pregnancy Childbirth. 2018;18:112. https://doi.org/10.1186/s12884-018-1741-1.
Kipnis V, Midthune D, Freedman L, Bingham S, Day NE, Riboli E, et al. Bias in dietary-report instruments and its implications for nutritional epidemiology. Public Health Nutr. 2002;5:915–23. https://doi.org/10.1079/PHN2002383.
de EJ B, Slimani N, van’t Veer P, Boeing H, Feinberg M, Leclercq C, et al. Rationale and methods of the European food consumption validation (EFCOVAL) project. Eur J Clin Nutr. 65(S1). https://doi.org/10.1038/ejcn.2011.82.
Timon CM, Blain RJ, McNulty B, Kehoe L, Evans K, Walton J, et al. The development, validation, and user evaluation of Foodbook24: a web-based dietary assessment tool developed for the Irish adult population. J Med Internet Res. 2017;19:e158. https://doi.org/10.2196/jmir.6407.
Frankenfeld CL, Poudrier JK, Waters NM, Gillevet PM, Xu Y. Dietary intake measured from a self-administered, online 24-hour recall system compared with 4-day diet records in an adult US population. J Acad Nutr Diet. 2012;112:1642–7. https://doi.org/10.1016/j.jand.2012.06.003.
Gersovitz M, Madden JP, Smiciklas-Wright H. Validity of the 24-hr. dietary recall and seven-day record for group comparisons. J Am Diet Assoc. 1978;73:48–55.
Rebro SM, Patterson RE, Kristal AR, Cheney CL. The effect of keeping food records on eating patterns. J Am Diet Assoc. 1998;98:1163–5. https://doi.org/10.1016/S0002-8223(98)00269-7.
Bohlscheid-Thomas S. Überprüfung der Reliabilität und Validität eines Fragebogens zu Ernährungsgewohnheiten für dessen Einsatz im deutschen Teil des EPIC-Projekts. Gießen: Justus-Liebig-University; 1999.
dato Denkwerkzeuge. nut.s nutritional software. Vienna: dato Denkwerkzeuge; 2018.
Louis TA, Lavori PW, Bailar JC, Polansky M. Crossover and self-controlled designs in clinical research. N Engl J Med. 1984;310:24–31. https://doi.org/10.1056/NEJM198401053100106.
Henry CJK. Basal metabolic rate studies in humans: measurement and development of new equations. Public Health Nutr. 2005;8:1133–52.
Goldberg GR, Black AE, Jebb SA, Cole TJ, Murgatroyd PR, Coward WA, Prentice AM. Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. Eur J Clin Nutr. 1991;45:569–81.
Black AE. Critical evaluation of energy intake using the Goldberg cut-off for energy intake:basal metabolic rate. A practical guide to its calculation, use and limitations. Int J Obes Relat Metab Disord. 2000;24:1119–30.
Fallaize R, Forster H, Macready AL, Walsh MC, Mathers JC, Brennan L, et al. Online dietary intake estimation: reproducibility and validity of the Food4Me food frequency questionnaire against a 4-day weighed food record. J Med Internet Res. 2014;16:e190. https://doi.org/10.2196/jmir.3355.
Reed D. Random Character Sequence Generator. Omaha; 2018. http://www.dave-reed.com/randSeq.html.
Rust P, Hasenegger V, König J. Österreichischer Ernährungsbericht 2017; 2017.
Weir JP. Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. J Strength Cond Res. 2005;19:231–40. https://doi.org/10.1519/15184.1.
Altman DG, Bland JM. Measurement in medicine: the analysis of method comparison studies. The Statistician. 1983;32:307. https://doi.org/10.2307/2987937.
IBM Corp. SPSS. Armonk; 2018.
Moher D, Schulz KF, Altman DG. The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomized trials. Ann Intern Med. 2001;134:657–62.
Knudsen VK, Gille M-B, Nielsen TH, Christensen T, Fagt S, Biltoft-Jensen A. Relative validity of the pre-coded food diary used in the Danish National Survey of diet and physical activity. Public Health Nutr. 2011;14:2110–6. https://doi.org/10.1017/S1368980011001650.
Haley SM, Fragala-Pinkham MA. Interpreting change scores of tests and measures used in physical therapy. Phys Ther. 2006;86:735–43.