Skip to main content
Top
Published in: BMC Nutrition 1/2017

Open Access 01-12-2017 | Research article

Familial aggregation and socio-demographic correlates of taste preferences in European children

Authors: Hannah S. Jilani, Timm Intemann, Leonie H. Bogl, Gabriele Eiben, Dénes Molnar, Luis A. Moreno, Valeria Pala, Paola Russo, Alfonso Siani, Antonia Solea, Toomas Veidebaum, Wolfgang Ahrens, Antje Hebestreit, on behalf of the I.Family consortium

Published in: BMC Nutrition | Issue 1/2017

Login to get access

Abstract

Background

Studies on aggregation of taste preferences among children and their siblings as well as their parents are scarce. We investigated the familial aggregation of taste preferences as well as the effect of sex, age, country of residence and education on variation in taste preferences in the pan- European I.Family cohort.

Method

Thirteen thousand one hundred sixty-five participants from 7 European countries, comprising 2,230 boys <12 years, 2,110 girls <12 years, 1,682 boys ≥12 years, 1,744 girls ≥12 years and 5,388 parents, completed a Food and Beverage Preference Questionnaire containing 63 food items representing the taste modalities sweet, bitter, salty and fatty. We identified food items that represent the different taste qualities using factor analysis. On the basis of preference ratings for these food and drink items, a preference score for each taste was calculated for children and parents individually. Sibling and parent-child correlations for taste preference scores were calculated. The proportion of variance in children’s preference scores that could be explained by their parents’ preference scores and potential correlates including sex, age and parental educational was explored.

Results

Mean taste preferences for sweet, salty and fatty decreased and for bitter increased with age. Taste preference scores correlated stronger between siblings than between children and parents. Children’s salty preference scores could be better explained by country than by family members. Children’s fatty preference scores could be better explained by family members than by country. Age explained 17% of the variance in sweet and 16% of the variance in fatty taste preference. Sex and education were not associated with taste preference scores.

Conclusion

Taste preferences are correlated between siblings. Country could explain part of the variance of salty preference scores in children which points to a cultural influence on salt preference. Further, age also explained a relevant proportion of variance in sweet and fatty preference scores.
Appendix
Available only for authorised users
Literature
1.
go back to reference Birch LC. The effect of species of animals which share common resources on one another's distribution and abundance. Fortschr Zool. 1979;25(2-3):197–221.PubMed Birch LC. The effect of species of animals which share common resources on one another's distribution and abundance. Fortschr Zool. 1979;25(2-3):197–221.PubMed
2.
go back to reference Birch LL. Psychological influences on the childhood diet. J Nutr. 1998;128(2 Suppl):407S–10S.PubMed Birch LL. Psychological influences on the childhood diet. J Nutr. 1998;128(2 Suppl):407S–10S.PubMed
3.
go back to reference Campbell KJ, Crawford DA, Ball K. Family food environment and dietary behaviors likely to promote fatness in 5-6 year-old children. Int J Obes (Lond). 2006;30(8):1272–80.CrossRef Campbell KJ, Crawford DA, Ball K. Family food environment and dietary behaviors likely to promote fatness in 5-6 year-old children. Int J Obes (Lond). 2006;30(8):1272–80.CrossRef
4.
go back to reference Johnson L, van Jaarsveld CH, Wardle J. Individual and family environment correlates differ for consumption of core and non-core foods in children. Br J Nutr. 2011;105(6):950–9.CrossRefPubMed Johnson L, van Jaarsveld CH, Wardle J. Individual and family environment correlates differ for consumption of core and non-core foods in children. Br J Nutr. 2011;105(6):950–9.CrossRefPubMed
5.
go back to reference Burt AA. Parental Influence on the Child's Food Preferences. Journal of Nutrition Education. 1978;10(3):127–8.CrossRef Burt AA. Parental Influence on the Child's Food Preferences. Journal of Nutrition Education. 1978;10(3):127–8.CrossRef
6.
go back to reference Birch LL. The Relationship between Children's Food Preferences and Those of Their Parents. Journal of Nutrition Education. 1980;12(1):14–8.CrossRef Birch LL. The Relationship between Children's Food Preferences and Those of Their Parents. Journal of Nutrition Education. 1980;12(1):14–8.CrossRef
7.
go back to reference Pliner P. Family Resemblance in Food Preferences. Journal of Nutrition Education. 1983;15(4):137–40.CrossRef Pliner P. Family Resemblance in Food Preferences. Journal of Nutrition Education. 1983;15(4):137–40.CrossRef
8.
go back to reference Pliner P, Pelchat ML. Similarities in food preferences between children and their siblings and parents. Appetite. 1986;7(4):333–42.CrossRefPubMed Pliner P, Pelchat ML. Similarities in food preferences between children and their siblings and parents. Appetite. 1986;7(4):333–42.CrossRefPubMed
9.
go back to reference Rozin P. Family resemblance in food and other domains: the family paradox and the role of parental congruence. Appetite. 1991;16(2):93–102.CrossRefPubMed Rozin P. Family resemblance in food and other domains: the family paradox and the role of parental congruence. Appetite. 1991;16(2):93–102.CrossRefPubMed
10.
go back to reference Reed, D.R., Heritable Variation in Fat Preference. 2010. Reed, D.R., Heritable Variation in Fat Preference. 2010.
11.
go back to reference Fildes A, et al. Nature and nurture in children's food preferences. Am J Clin Nutr. 99(4):911–7. Fildes A, et al. Nature and nurture in children's food preferences. Am J Clin Nutr. 99(4):911–7.
12.
go back to reference Breen FM, Plomin R, Wardle J. Heritability of food preferences in young children. Physiol Behav. 2006;88(4-5):443–7.CrossRefPubMed Breen FM, Plomin R, Wardle J. Heritability of food preferences in young children. Physiol Behav. 2006;88(4-5):443–7.CrossRefPubMed
14.
go back to reference Keskitalo K, et al. Genetic and environmental contributions to food use patterns of young adult twins. Physiol Behav. 2008;93(1-2):235–42.CrossRefPubMed Keskitalo K, et al. Genetic and environmental contributions to food use patterns of young adult twins. Physiol Behav. 2008;93(1-2):235–42.CrossRefPubMed
15.
go back to reference Keskitalo K, et al. Same genetic components underlie different measures of sweet taste preference. Am J Clin Nutr. 2007;86(6):1663–9.PubMed Keskitalo K, et al. Same genetic components underlie different measures of sweet taste preference. Am J Clin Nutr. 2007;86(6):1663–9.PubMed
16.
go back to reference Tornwall O, et al. Genetic contribution to sour taste preference. Appetite. 58(2):687–94. Tornwall O, et al. Genetic contribution to sour taste preference. Appetite. 58(2):687–94.
17.
go back to reference Tornwall O, et al. Why do some like it hot? Genetic and environmental contributions to the pleasantness of oral pungency. Physiol Behav:107, 381–3, 389. Tornwall O, et al. Why do some like it hot? Genetic and environmental contributions to the pleasantness of oral pungency. Physiol Behav:107, 381–3, 389.
18.
go back to reference Drewnowski A. Sensory control of energy density at different life stages. Proc Nutr Soc. 2000;59(2):239–44.CrossRefPubMed Drewnowski A. Sensory control of energy density at different life stages. Proc Nutr Soc. 2000;59(2):239–44.CrossRefPubMed
19.
go back to reference Ventura AK, Mennella JA. Innate and learned preferences for sweet taste during childhood. Curr Opin Clin Nutr Metab Care. 2011;14(4):379–84.CrossRefPubMed Ventura AK, Mennella JA. Innate and learned preferences for sweet taste during childhood. Curr Opin Clin Nutr Metab Care. 2011;14(4):379–84.CrossRefPubMed
20.
go back to reference Fernandez-Alvira JM, et al. Parental education and frequency of food consumption in European children: the IDEFICS study. Public Health Nutr. 2013;16(3):487–98.CrossRefPubMed Fernandez-Alvira JM, et al. Parental education and frequency of food consumption in European children: the IDEFICS study. Public Health Nutr. 2013;16(3):487–98.CrossRefPubMed
21.
go back to reference Skinner JD, et al. Do food-related experiences in the first 2 years of life predict dietary variety in school-aged children? J Nutr Educ Behav. 2002;34(6):310–5.CrossRefPubMed Skinner JD, et al. Do food-related experiences in the first 2 years of life predict dietary variety in school-aged children? J Nutr Educ Behav. 2002;34(6):310–5.CrossRefPubMed
22.
go back to reference Ahrens W, et al. The IDEFICS cohort: design, characteristics and participation in the baseline survey. Int J Obes (Lond). 2011;35(Suppl 1):S3–15.CrossRef Ahrens W, et al. The IDEFICS cohort: design, characteristics and participation in the baseline survey. Int J Obes (Lond). 2011;35(Suppl 1):S3–15.CrossRef
23.
go back to reference Ahrens W, Siani A, Adan R, De Henauw S, Eiben G, Gwozdz W, Hebestreit A,, et al., Cohort Profile: The transition from childhood to adolescence in European children - how I.Family extends the IDEFICS cohort. International Journal of Epidemiology, 2016. (Accepted). Ahrens W, Siani A, Adan R, De Henauw S, Eiben G, Gwozdz W, Hebestreit A,, et al., Cohort Profile: The transition from childhood to adolescence in European children - how I.Family extends the IDEFICS cohort. International Journal of Epidemiology, 2016. (Accepted).
25.
go back to reference Cole TJ, Lobstein T. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatr Obes. 2012;7(4):284–94.CrossRefPubMed Cole TJ, Lobstein T. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatr Obes. 2012;7(4):284–94.CrossRefPubMed
27.
go back to reference Duffy VB, et al. Surveying food and beverage liking: a tool for epidemiological studies to connect chemosensation with health outcomes. Ann N Y Acad Sci. 2009;1170:558–68.CrossRefPubMed Duffy VB, et al. Surveying food and beverage liking: a tool for epidemiological studies to connect chemosensation with health outcomes. Ann N Y Acad Sci. 2009;1170:558–68.CrossRefPubMed
28.
go back to reference Deglaire A, et al. Development of a questionnaire to assay recalled liking for salt, sweet and fat. Food Quality and Preference. 2012;23(2):110–24.CrossRef Deglaire A, et al. Development of a questionnaire to assay recalled liking for salt, sweet and fat. Food Quality and Preference. 2012;23(2):110–24.CrossRef
29.
go back to reference Mejean C, et al. Association between intake of nutrients and food groups and liking for fat (The Nutrinet-Sante Study). Appetite. 2014;78:147–55.CrossRefPubMed Mejean C, et al. Association between intake of nutrients and food groups and liking for fat (The Nutrinet-Sante Study). Appetite. 2014;78:147–55.CrossRefPubMed
30.
go back to reference Deglaire A, et al. Associations between weight status and liking scores for sweet, salt and fat according to the gender in adults (The Nutrinet-Sante study). Eur J Clin Nutr. 2015;69(1):40–6.CrossRefPubMed Deglaire A, et al. Associations between weight status and liking scores for sweet, salt and fat according to the gender in adults (The Nutrinet-Sante study). Eur J Clin Nutr. 2015;69(1):40–6.CrossRefPubMed
31.
go back to reference Vereecken C, et al. Test-retest reliability and agreement between children's and parents' reports of a computerized food preferences tool. Public Health Nutr. 2013;16(1):8–14.CrossRefPubMed Vereecken C, et al. Test-retest reliability and agreement between children's and parents' reports of a computerized food preferences tool. Public Health Nutr. 2013;16(1):8–14.CrossRefPubMed
32.
go back to reference Wardle J, et al. Factor-analytic structure of food preferences in four-year-old children in the UK. Appetite. 2001;37(3):217–23.CrossRefPubMed Wardle J, et al. Factor-analytic structure of food preferences in four-year-old children in the UK. Appetite. 2001;37(3):217–23.CrossRefPubMed
34.
go back to reference Ledesma RD, Valero-Mora P. Determining the number of factors to retain in EFA: An easy-to-use computer program for carrying out parallel analysis. Practical Assessment, Research & Evaluation. 2007;12(2):1–11. Ledesma RD, Valero-Mora P. Determining the number of factors to retain in EFA: An easy-to-use computer program for carrying out parallel analysis. Practical Assessment, Research & Evaluation. 2007;12(2):1–11.
35.
go back to reference Elston RC, Gray-McGuire C. A review of the 'Statistical Analysis for Genetic Epidemiology' (S.A.G.E.) software package. Hum Genomics. 2004;1(6):456–9.CrossRefPubMedPubMedCentral Elston RC, Gray-McGuire C. A review of the 'Statistical Analysis for Genetic Epidemiology' (S.A.G.E.) software package. Hum Genomics. 2004;1(6):456–9.CrossRefPubMedPubMedCentral
38.
go back to reference Plattig, K.H., The sense of taste., in Sensory analysis of foods, J.R. Piggot, Editor. 1984, Elsevier Science Publishing Company: New York. p. 1-22. Plattig, K.H., The sense of taste., in Sensory analysis of foods, J.R. Piggot, Editor. 1984, Elsevier Science Publishing Company: New York. p. 1-22.
39.
go back to reference Anliker JA, et al. Children's food preferences and genetic sensitivity to the bitter taste of 6-n-propylthiouracil (PROP). Am J Clin Nutr. 1991;54(2):316–20.PubMed Anliker JA, et al. Children's food preferences and genetic sensitivity to the bitter taste of 6-n-propylthiouracil (PROP). Am J Clin Nutr. 1991;54(2):316–20.PubMed
40.
go back to reference Dovey TM, et al. Food neophobia and 'picky/fussy' eating in children: a review. Appetite. 2008;50(2-3):181–93.CrossRefPubMed Dovey TM, et al. Food neophobia and 'picky/fussy' eating in children: a review. Appetite. 2008;50(2-3):181–93.CrossRefPubMed
41.
go back to reference Connor MT. Individualized Measurement of Attitudes Towards Foods. Appetite. 1993;20:235–8.CrossRef Connor MT. Individualized Measurement of Attitudes Towards Foods. Appetite. 1993;20:235–8.CrossRef
42.
go back to reference Luszczynska A, et al. At-home environment, out-of-home environment, snacks and sweetened beverages intake in preadolescence, early and mid-adolescence: the interplay between environment and self-regulation. J Youth Adolesc. 2013;42(12):1873–83.CrossRefPubMed Luszczynska A, et al. At-home environment, out-of-home environment, snacks and sweetened beverages intake in preadolescence, early and mid-adolescence: the interplay between environment and self-regulation. J Youth Adolesc. 2013;42(12):1873–83.CrossRefPubMed
43.
go back to reference Pearson N, Biddle SJ, Gorely T. Family correlates of fruit and vegetable consumption in children and adolescents: a systematic review. Public Health Nutr. 2009;12(2):267–83.CrossRefPubMed Pearson N, Biddle SJ, Gorely T. Family correlates of fruit and vegetable consumption in children and adolescents: a systematic review. Public Health Nutr. 2009;12(2):267–83.CrossRefPubMed
44.
go back to reference Ray C, et al. Role of free school lunch in the associations between family-environmental factors and children's fruit and vegetable intake in four European countries. Public Health Nutr. 2013;16(6):1109–17.CrossRefPubMed Ray C, et al. Role of free school lunch in the associations between family-environmental factors and children's fruit and vegetable intake in four European countries. Public Health Nutr. 2013;16(6):1109–17.CrossRefPubMed
45.
go back to reference Drucker RR, et al. Can mothers influence their child's eating behavior? J Dev Behav Pediatr. 1999;20(2):88–92.CrossRefPubMed Drucker RR, et al. Can mothers influence their child's eating behavior? J Dev Behav Pediatr. 1999;20(2):88–92.CrossRefPubMed
46.
go back to reference Raynor HA, et al. The relationship between child and parent food hedonics and parent and child food group intake in children with overweight/obesity. J Am Diet Assoc. 2011;111(3):425–30.CrossRefPubMedPubMedCentral Raynor HA, et al. The relationship between child and parent food hedonics and parent and child food group intake in children with overweight/obesity. J Am Diet Assoc. 2011;111(3):425–30.CrossRefPubMedPubMedCentral
47.
go back to reference Skinner JD. Toddler's Food Preferences: Concordance with Family Members' Preferences. Journal of Nutrition Education. 1998;30(1):17–22.CrossRef Skinner JD. Toddler's Food Preferences: Concordance with Family Members' Preferences. Journal of Nutrition Education. 1998;30(1):17–22.CrossRef
48.
go back to reference ASTM, Standard Guide for Sensory Evaluation of Products by Children and Minors. Designation: E2299-13. 2013. ASTM, Standard Guide for Sensory Evaluation of Products by Children and Minors. Designation: E2299-13. 2013.
49.
go back to reference Birch LL. Dimensions of preschool children's food preferences. Journal of nutrition Education. 1979;11(4):77–80.CrossRef Birch LL. Dimensions of preschool children's food preferences. Journal of nutrition Education. 1979;11(4):77–80.CrossRef
Metadata
Title
Familial aggregation and socio-demographic correlates of taste preferences in European children
Authors
Hannah S. Jilani
Timm Intemann
Leonie H. Bogl
Gabriele Eiben
Dénes Molnar
Luis A. Moreno
Valeria Pala
Paola Russo
Alfonso Siani
Antonia Solea
Toomas Veidebaum
Wolfgang Ahrens
Antje Hebestreit
on behalf of the I.Family consortium
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Nutrition / Issue 1/2017
Electronic ISSN: 2055-0928
DOI
https://doi.org/10.1186/s40795-017-0206-7

Other articles of this Issue 1/2017

BMC Nutrition 1/2017 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine