2. van Dongen, MV, van den Berg, MC, Vink, N, et al. (2012) Taste–nutrient relationships in commonly consumed foods. Br J Nutr 108, 140–147.
3. Lease, H, Hendrie, GA, Poelman, AAM, et al. (2016) A Sensory-Diet database: a tool to characterise the sensory qualities of diets. Food Qual Prefer 49, 20–32.
4. de Graaf, C & Kok, FJ (2010) Slow food, fast food and the control of food intake. Nat Rev Endocrinol 6, 290–293.
5. Griffioen-Roose, S, Hogenkamp, PS, Mars, M, et al. (2012) Taste of a 24-h diet and its effect on subsequent food preferences and satiety. Appetite 59, 1–8.
6. Bolhuis, DP, Lakemond, CMM, de Wijk, RA, et al. (2011) Both longer oral sensory exposure to and higher intensity of saltiness decrease ad libitum food intake in healthy normal-weight men. J Nutr 141, 2242–2248.
7. McCrickerd, K & Forde, CG (2016) Sensory influences on food intake control: Moving beyond palatability. Obes Rev 17, 18–29.
8. Martin, C, Visalli, M, Lange, C, et al. (2014) Creation of a food taste database using an in-home ‘taste’ profile method. Food Qual Prefer 36, 70–80.
9. Deglaire, A, Méjean, C, Castetbon, K, et al. (2015) Associations between weight status and liking scores for sweet , salt and fat according to the gender in adults (The Nutrinet-Santé study). Eur J Clin Nutr 69, 40–46.
10. Matsushita, Y, Mizoue, T, Takahashi, Y, et al. (2009) Taste preferences and body weight change in Japanese adults: the JPHC Study. Int J Obes 33, 1191–1197.
11. Keskitalo, K, Tuorila, H, Spector, TD, et al. (2008) The Three-Factor Eating Questionnaire, body mass index, and responses to sweet and salty fatty foods: a twin study of genetic and environmental associations. Am J Clin Nutr 88, 263–271.
12. Hashimoto, T, Yagami, F, Owada, M, et al. (2008) Salt Preference according to a questionnaire vs. dietary salt intake estimated by a spot urine method in participants at a health check-up center. Intern Med 47, 399–403.
13. Nakamura, K, Shimai, S, Kikuchi, S, et al. (2001) Correlation between a liking for fat-rich foods and body fatness in adult Japanese: a gender difference. Appetite 36, 1–7.
14. Weingarten, HP & Elston, D (1991) Food cravings in a college population. Appetite 17, 167–175.
15. Zellner, DA, Garriga-Trillo, A, Rohm, E, et al. (1999) Food liking and craving : a cross-cultural approach. Appetite 33, 61–70.
16. Cox, DN, Van Galen, M, Hedderley, D, et al. (1998) Sensory and hedonic judgments of common foods by lean consumers and consumers with obesity. Obes Res 6, 438–447.
17. Cox, DN, Perry, L, Moore, PB, et al. (1999) Sensory and hedonic associations with macronutrient and energy intakes of lean and obese consumers. Int J Obes Relat Metab Disord 23, 403–410.
18. van Rossum, CTM, Fransen, HP, Verkaik-Kloosterman, J, et al. (2011) Dutch National Food Consumption Survey 2007-2010 : Diet of Children and Adults Aged 7 to 69 Years. Utrecht: National Institute for Public Health and the Environment.
19. Wolters, CJ & Allchurch, EM (1994) Effect of training procedure on the performance of descriptive panels. Food Qual Prefer 5, 203–214.
20. Chollet, S & Valentin, D (2000) Impact of training on beer flavor perception and description: are trained and untrained subjects really different? J Sens Stud 16, 601–618.
21. Losó, V, Gere, A, Györey, A, et al. (2012) Comparison of the performance of a trained and an untrained sensory panel on sweetcorn varieties with the panelcheck software. Appl Stud Agribus Commer 6, 77–83.
22. Slimani, N, Deharveng, G, Charrondière, RU, et al. (1999) Structure of the standardized computerized 24-h diet recall interview used as reference method in the 22 centers participating in the EPIC project. Comput Methods Programs Biomed 58, 251–266.
23. Trijsburg, L, de Vries, JHM, Boshuizen, HC, et al. (2015) Comparison of duplicate portion and 24 h recall as reference methods for validating a FFQ using urinary markers as the estimate of true intake. Br J Nutr 114, 1304–1312.
24. Trijsburg, L, Geelen, A, Hollman, PC, et al. (2017) BMI was found to be a consistent determinant related to misreporting of energy, protein and potassium intake using self-report and duplicate portion methods. Public Health Nutr 20, 14–17.
25. van Lee, L, Geelen, A, van Huysduynen, E, et al. (2012) The Dutch Healthy Diet index (DHD-index): an instrument to measure adherence to the Dutch Guidelines for a Healthy Diet. Nutr J 20, 11–49.
26. van Lee, L, Geelen, A, Hooft van Huysduynen, EJC, et al. (2016) Associations between company at dinner and daily diet quality in Dutch men and women from the NQplus study. Eur J Clin Nutr 70, 1368–1373.
27. Sluik, D, Geelen, A, de Vries, JHM, et al. (2016) A national FFQ for the Netherlands (the FFQ-NL 1.0): validation of a comprehensive FFQ for adults. Br J Nutr 116, 913–923.
28. European Food Safety Authority (2017) Example of a protocol for identification of misreporting (under- and overreporting of energy intake) based on the PILOT-PANEU project. http://www.efsa.europa.eu (accessed June 2017).
29. Goldberg, GR, Black, AE & Jebb, SA (1991) Critical evaluation of energy intake data using fundamental principles of energy physiology. Derivation of cut-off limits to identify under-recording. Eur J Clin Nutr 45, 569–581.
30. van Stokkom, VL, Teo, PS, Mars, M, et al. (2016) Taste intensities of ten vegetables commonly consumed in the Netherlands. Food Res Int 87, 34–41.
31. Teo, PS, van Langeveld, AWB, Pol, K, et al. (2018) Training of a Dutch and Malaysian sensory panel to assess basic taste intensities and fat sensations of commonly consumed foods. Food Qual Pref 65, 49–59.
32. Muñoz, AM & Civille, GV (1992) The Spectrum Descriptive Analysis Method. Manual on Descriptive Analysis Testing. West Conshohocken, PA: ASTM.
33. Henderson, HHF (2008) Het nieuwe kookboek (The New Dutch Cookbook). Utrecht: Kosmos.
34. Ward, JH (1963) Hierarchical grouping to optimize an objective function. J Am Stat Assoc 58, 236–244.
35. Nederlands Voedingsstoffenbestand (NEVO) (2011) Dutch Food Consumption Database. Bilthoven: National Institute for Public Health and the Environment.
36. Meilgaard, MC, Civille, GV & Carr, BT (2007) Sensory Evaluation Techniques, 4th ed. New York: CRC Press.
37. van Langeveld, AWB, Gibbons, S, Koelliker, Y, et al. (2017) The relationship between taste and nutrient content in commercially available foods from the United States. Food Qual Prefer 57, 1–7.
38. Meiselman, HL (2006) The Role of Context in Food Choice, Food Acceptance and Food Consumption. The Psychology of Food Choice, 3rd ed., pp. 179–199. Guildford: CABI Publishing.
39. Mela, DJ & Aaron, JI (1997) Honest but invalid what subjects say about recording their food intake. J Am Diet Assoc 97, 791–793.
40. Institute of Medicine (2002) Dietary Risk Assessment in the WIC Program. Washington, DC: The National Academies Press.